Last Seen Blogs
sweetcreatxr
➪ Tony Stark and Sebastian Stan enthusiasm
superkirbylover
SKL
tuiccim
This way...
itsarandomblog
paramyh
letrow
Letrow's musings
Text
Harkirat Singh Full Stack Open Source Cohort Course
Full Stack development is a dynamic field that requires continuous learning and adaptation to stay ahead in the technological landscape. GetFreeCourses.UK presents an immersive Full Stack Open Source Cohort Course led by the dynamic instructor, Harkirat Singh. This article explores the course's key features, shedding light on the unique learning experience it offers for those aspiring to master Full Stack development.
Unlocking the World of Full Stack Development
A Comprehensive Curriculum
The Harkirat Singh Full Stack Open Source Cohort Course is meticulously crafted to provide participants with a holistic understanding of Full Stack development. Starting from foundational concepts, the course progressively delves into advanced topics, ensuring participants establish a robust foundation before exploring intricate aspects of both frontend and backend development.
Hands-on Learning Philosophy
A standout feature of this course is its emphasis on hands-on learning. Harkirat Singh advocates learning by doing, offering participants a plethora of coding assignments, projects, and real-world scenarios to apply their newfound knowledge. This practical approach ensures that participants not only grasp theoretical concepts but also gain valuable experience in solving real-world challenges.
Course Structure and Weekly Breakdown
Mastering JavaScript Fundamentals
Commencing with a warmup session and orientation class, the course sets an exciting stage. Participants then immerse themselves in JavaScript fundamentals, covering asynchronous JavaScript, promises, and callbacks. Additional classes and assignments on Git further enhance the learning experience.
Navigating Backend Development with Node.js
Week 2 introduces participants to Express, Node.js, and the fundamentals of backend systems. They explore middlewares, requests, and responses, complemented by assignments that deepen their understanding of the backend development process.
Frontend Development with HTML, CSS, and React
As the course progresses, participants transition to frontend development, gaining insights into HTML, CSS, and React. Live sessions on React deep dive, component rendering, and state management foster a solid understanding of frontend technologies.
Integrating TypeScript, Open Source Contribution, and Real-Time Projects
The latter part of the course introduces TypeScript, emphasizing its integration into both backend and frontend development. Participants explore mono repos, CI/CD in full stack projects, and actively engage in open source contributions. A dedicated session on forking, solving issues, and writing a Discord bot adds a unique touch to the curriculum.
Culminating in Real-Time Open Source Contributions
The final weeks focus on real-time open source contributions, making participants an integral part of ongoing projects. Harkirat Singh guides them through open source issues, ensuring that the learning experience is not just theoretical but deeply rooted in practical scenarios.
Conclusion: Elevate Your Full Stack Journey with Harkirat Singh
In conclusion, the Harkirat Singh Full Stack Open Source Cohort Course on GetFreeCourses.UK is a golden opportunity for aspiring developers. With a well-structured curriculum, hands-on learning, and a focus on real-world applications, participants can expect to emerge from the course with a thorough understanding of Full Stack development and the confidence to actively contribute to open source projects. Seize the chance to elevate your skills under the guidance of an experienced instructor – enroll in the Harkirat Singh Full Stack Open Source Cohort Course today!
Warmup Session
- Week 0 | Orientation class
JavaScript Fundamentals
- Week 1.1 | Recapping Prerequisites, Basics of JS
- Week 1.1 | Recap of Prerequisites, Basics of JS, Introduction to async JS
- Week 1.2 | Additional class on JS
- Week 1.3 | Exploring Async Concepts: Async, Await, Callbacks, Promises
- Week 1.3 | In-depth Study of Async, Await, Callbacks, Promises (Zoom Upload)
- Week 1.3 | Assignment Guidelines
- Week 1.4 | Extra Class – Git and Assignments
- Week 1.4 | Supplementary Session on Git/Github/Assignments
- Assignment 1 – Solution
Backend Development with Node.js and Express
- Week 2.1 | Introduction to Express, Node.js, Backend Systems
- Week 2.1 | Node.js, Backend Systems, and HTTP Servers
- Week 2.2 | Understanding Middlewares, Request, and Responses
- Extra class | Assignments on Promises and Async
- Week 2.3 | Assignment
Frontend Development: HTML, CSS, and React
- Week 3.1 | Wrapping up Backend, Initiating Frontend
- Week 3.2 | Basics of HTML, CSS, Introduction to React
- Week 3.1 | Assignment
- Week 4.1 | In-depth Exploration of React, Introduction to Components
- Week 4.2 | Rendering, Props, and Context in React
- Week 4.3 | Assignment
State Management and TypeScript Integration
- Week 5.1 | Introduction to State Management
- Week 5.2 | Completing State Management
- Week 5.3 | Assignment
- Week 6.1 | Introducing Typescript, Migrating Backend to TS
- Week 6.2 | Advanced Concepts in TypeScript, Transitioning Frontend to TS
- Week 6.3 | Assignment 1 – Frontend
- Week 6.4 | Assignment 2 – Backend
Advanced Concepts: Mono Repos, CI/CD, and Open Source Contribution
- Week 7.1 | Understanding Mono Repos, Introduction to Frameworks
- Week 7.2 | CI/CD in Full Stack Projects
- Week 7.3 | Assignment
- Week 8.1 | Exploring Open Source Development
- Week 8.2 | Forking and Resolving Issue #1
- Week 8.3 | Assignment 1 – Open Source Issue #1
- Week 8.4 | Assignment 2 – Open Source Issue #2
In-Depth Open Source Contribution and Real-Time Project Involvement
- Week 9.1 | Navigating Through the Fork, Understanding Frontend of the Fork
- Week 9.2 | Exploring the Main Repository
- Week 9.3 | Assignment 1 – Open Source Issue #1
- Week 9.4 | Assignment 2 – Open Source Issue #2
- Week 10.1 | Real-Time Open Source Contribution to the Main Repository
- Week 10.2 | Guiding Students Through Open Source Issues in Real Time
- Week 10.3 | Open Source Issue in Main Repository
- Unofficial Late-Night Session – Crafting a Discord Bot for User Validation
Certificate of Completion
- Week 11.1 | Open Source Contributions in Project #2
- Week 11.2 | Open Source Contributions in Project #2 – Part 2
Download Part 2
DOWNLOAD FILE WEEK 5.1.MP4
Download Part 2
Read the full article
0 notes
Text
Python
Python - GetFreeCourses.UK
Python is a programming language that is both powerful and versatile in the continuously changing world of technology. For a variety of applications, including web development and artificial intelligence, developers love it for its readability, simplicity, and large libraries. Aspiring programmers can take a revolutionary step toward mastering Python and utilizing its potential at GetFreeCourse.uk.
Python Tutorial
In the contemporary landscape of programming languages, Python has emerged as a highly favored choice. Despite being a versatile, general-purpose language, its applications extend across diverse domains, including Machine Learning, Artificial Intelligence, web development, IoT, and beyond.
This tutorial on Python is crafted with the intent of aiding beginners in comprehending the fundamental and advanced aspects of the Python Programming Language. Upon concluding this tutorial, learners will attain a substantial level of proficiency in Python. Armed with this foundation, individuals can propel themselves to higher echelons, aspiring to evolve into accomplished Software Engineers.
Python Jobs
In the present day, Python stands out as a programming language in exceptionally high demand. Prominent companies are actively seeking skilled Python Programmers to spearhead the development of websites, software components, and applications, or to contribute to projects involving Data Science, Artificial Intelligence, and Machine Learning technologies. As of our tutorial development in 2022, there is a significant shortage of Python Programmers in the market, exacerbating the demand for their expertise, especially in fields like Machine Learning and Artificial Intelligence.
In the current job market, Python Programmers with 3-5 years of experience command an annual package averaging around $150,000, making Python the most sought-after programming language in America. It's important to note that salary figures can vary based on the job location. While it's impractical to enumerate all the companies utilizing Python, some noteworthy industry giants include:
- Google
- Intel
- NASA
- PayPal
- Facebook
- IBM
- Amazon
- Netflix
- Pinterest
- Uber
- Many more...
Why to Learn Python?
Python consistently ranks among the most widely used programming languages globally. Its reputation is attributed to its accessibility and ease of learning, making it an excellent choice for beginners entering the programming landscape. Today, many educational institutions, including schools, colleges, and universities, have adopted Python as their primary programming language. Several compelling factors contribute to Python's status as the preferred language for programmers:
- Open Source Nature: Python operates on an open-source model, making it freely available. This feature eliminates financial barriers, allowing aspiring programmers to embark on their learning journey without incurring costs.
- Simplicity and Learnability: Python's straightforward syntax and logical structure make it easy to learn, positioning it as an ideal starting point for individuals new to programming.
- Versatility: Python's versatility is a standout feature, enabling developers to create a diverse range of applications and solutions, from basic scripts to complex software.
- Rich Development Libraries: Python boasts robust development libraries, including those dedicated to Artificial Intelligence (AI) and Machine Learning (ML). This feature equips developers with powerful tools for exploring and implementing advanced technologies.
- High Demand and Competitive Salaries: The demand for Python proficiency in the job market remains consistently high, translating into competitive salaries for skilled Python developers. This trend is particularly pronounced in domains such as AI and ML.
- Essential for Web Development: Python is indispensable for students and professionals aspiring to excel in web development. Its significance in this domain underscores its status as a crucial language for those aiming to become adept Software Engineers.
Key Advantages of Learning Python:
- Interpreted Language: Python operates as an interpreted language, meaning programs can be executed without prior compilation. This characteristic aligns it with languages like PERL and PHP.
- Interactive Nature: Python facilitates an interactive programming environment, allowing developers to directly engage with the interpreter. This feature streamlines the code creation process.
- Object-Oriented Approach: Python supports an Object-Oriented programming style, enabling the encapsulation of code within objects. This approach enhances code organization and modularity.
- Beginner-Friendly: Tailored for novice programmers, Python provides a conducive environment for those at the beginner level. Its versatility accommodates the development of applications ranging from simple text processing to web browsers and games.
In summary, Python's enduring popularity is a result of its user-friendly attributes, adaptability, and relevance across various industries. Whether for beginners or seasoned professionals, harnessing Python's capabilities opens up a myriad of possibilities in the dynamic field of software development.
How to Get Started With Python?
In the expansive realm of programming languages, Python emerges as a welcoming entry point for individuals new to coding. Its simplicity, readability, and versatility position it as an ideal choice for beginners venturing into the coding world. If you're enthusiastic about starting your Python journey, this guide will lead you through the fundamental steps to initiate your programming exploration.
Step 1: Install Python
Initiating your Python journey begins with installing the language on your machine. Python is compatible with various operating systems, including Windows, macOS, and Linux. Visit the official Python website (https://www.python.org/) and proceed to the "Downloads" section. Select the version suitable for your operating system and follow the provided installation instructions.
Step 2: Choose a Text Editor or IDE
After installing Python, you'll need a tool to write and run your code. While Python comes with its built-in IDLE (Integrated Development and Learning Environment), many developers opt for text editors or integrated development environments (IDEs) for a more feature-rich experience. Popular choices include VSCode, PyCharm, Atom, and Sublime Text. Choose one that aligns with your preferences and install it on your machine.
Step 3: Learn the Basics
Python's syntax is intentionally designed to be readable and straightforward, making it an excellent choice for beginners. Begin by mastering fundamental concepts such as:
- Variables and Data Types: Understand how to store and manipulate data using variables, acquainting yourself with data types like integers, floats, strings, and booleans.
- Control Flow: Learn about decision-making with if statements, looping through for and while loops, and managing exceptions.
- Functions: Grasp the concept of functions, including how to define them and employ built-in functions.
Step 4: Dive into Python Libraries
Python's strength lies in its extensive libraries. As you progress, explore popular libraries like:
- NumPy and Pandas for Data Science: These libraries facilitate data manipulation and analysis, establishing Python as a preferred language for data scientists.
- Matplotlib and Seaborn for Data Visualization: Visualize data using these libraries to craft insightful charts and graphs.
- Requests for Web Scraping: Learn how to extract data from websites using the Requests library.
Step 5: Practice with Projects
Apply your newfound knowledge by engaging in small projects. Whether it's a straightforward web scraper, a data analysis endeavor, or a basic web application, hands-on experience will solidify your understanding and foster confidence.
Step 6: Explore Advanced Topics
As your comfort with Python grows, delve into advanced topics such as:
- Object-Oriented Programming (OOP): Understand the principles of OOP, a widely employed paradigm in Python.
- Web Development with Django or Flask: Immerse yourself in web development by exploring frameworks like Django or Flask.
- Machine Learning and AI: Venture into the realms of machine learning and artificial intelligence using libraries such as TensorFlow and PyTorch.
Step 7: Join the Python Community
Python boasts a vibrant and supportive community. Engage with forums like Stack Overflow, Reddit's r/learnpython, or attend local Python meetups to connect with fellow learners and seasoned developers. Sharing experiences and seeking guidance from the community is integral to the learning process.
Conclusion:
Embarking on your Python journey is an exhilarating undertaking. By following these steps, you'll establish a robust foundation and gain the confidence to explore the myriad possibilities that Python offers. Remember, programming is an ongoing learning process, so embrace challenges, seek guidance from the community, and relish the fulfilling journey of attaining proficiency in Python. Happy coding!
Read the full article
0 notes
Text
ChatGPT Accelerated Python: Complete Python Guide
Learn Programming in Python Using ChatGPT
Do you want to Learn Programming in Python Using ChatGPT, but don’t know where to start? Perfect! You're in the proper ChatGPT Accelerated Python course now. You will learn everything you need to know about using ChatGPT to speed up your coding and Python programming in this course. Meet Cobalt, your instructor, who has been teaching novice and seasoned programmers alike how to develop and improve their code regardless of skill level and experience for the past 25 years. We'll go over all you need to know about Python's control flow, grammar, data types, functions, and much more in these enjoyable and practical lectures.
What you’ll learn in ChatGPT Accelerated Python course
-
Python: Fundamentals, user setup, interface, control flow, syntax, data types, functions, and much more!
-
Continue to Grow: Expand your Python skills with newly added learning lessons on a regular basis!
-
Develop Code: Handle common errors and learn the process of debugging, fixing real life problems with critical thinking and ChatGPT!
-
ChatGPT: Engineer the perfect prompts, improve your code, and iterate your coding projects faster than ever before!
-
Learning Activities: Test your knowledge and bring your newly honed skills to life!
-
Create Your Own: Utility scripts, web servers, games, API integrations, and more!
Requirements
-
No coding experience needed. You will learn everything you need to know in this course.
The following abilities will have been acquired by the end of the course:
- Python Foundations :
An explanation of Python that includes a detailed overview of the Pycharm website's design and user experience. The fundamentals of programming, including the structure of a script, algorithms, variables, data types, and an overview of Python as a programming language, will be covered. Following that, we'll delve more into control flow, the decisions the language makes in light of branching structures, and how to deal with common issues through the debugging process.
-Learning Python basics
- Understanding Python as a programming language
- Writing your own cod
- ChatGPT: Fix and Supercharge Your Code :
A step-by-step tutorial for ChatGPT that covers the user interface and creating an OpenAI account. The next step is to use a pre-rolled prompt in ChatGPT that creates code. You will discover how to improve your prompts, ChatGPT's fundamental algorithms' effectiveness, flaws, and restrictions, how to resolve coding problems, and how to ask the chatbot to explain sorting methods.
- Learn the fundamentals of ChatGPT
- use it to write code,
- Prompt ChatGPT to help you complete your coding projects more quickly than ever.
- Build Your Own Utility Script :
You will become acquainted with the structure of a script and learn how to write a section of code that is intended to carry out particular auxiliary duties or add more functionality to other primary programmes.
- Utility programmes' foundational concepts
- Learn about the script anatomy of a calculator script, including operators, whitespace, control flow, and interaction.
- Create a Customized Web Server :
To create your own web server, you will go into the world of modules and refactoring.
- Refactoring and module fundamentals
- Creating new modules To make your own library into a package, become familiar with pip and packaging.
- Design Your Own Game using ChatGPT Accelerated Python :
To create your own game, you will investigate the idea of combining object data with code and inheritance.
- Create a custom Blackjack game. Games like Cards Against Humanity should incorporate GPT
- Using your personal card collection, create the card game of your choice.
why enroll today:
We’ll be adding 100 brand new lectures per year to this course! So once you enroll, you’ll have lifetime access to the ever growing course content library and learning activities!
You’ll have lifetime access to:
- 58 video lectures
- 7.5 hours of learning lessons
- 4 online articles
- 100 gigs of streamable content
- Lifetime access to the tutorials and assets
- Updates to all future course materials
- Teacher responses in the Q&A section
If you’re ready to learn the latest technologies to make your visions real, then hit the enroll button and let’s get started!
Who this course is for:
- Beginner developers who are interested to learn more about coding
Created byLeap Year Learning, Cobalt Barnett
Last updated 08/2023
English
English
Size: 4.97GB
DOWNLOAD TUTORIAL
https://www.udemy.com/course/chatgpt-accelerated-python/
Read the full article
0 notes
Text
The Complete Data Structures and Algorithms in Python Udemy Free Course
Welcome to the Complete Data Structures and Algorithms in Python Bootcamp, the most modern, and the most complete Data Structures and Algorithms in Python course on the internet. At 40+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Python. You will see 100+ Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams!
Learning Python is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.
Data Structures and Algorithms in Python
We’ll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.
After finishing this course, you will be able to:
Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.
Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications
Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets
Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.
Data Structures and Algorithms in Python
Why this course is so special and different from any other resource available online?
The Complete Data Structures and Algorithms Course in Python will take you from very beginning to a very complex and advanced topics in understanding Data Structures and Algorithms!
You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.
You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft.
I cover everything you need to know about technical interview process!
So whether you are interested in learning the top programming language in the world in-depth
And interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!
And this is what you get by signing up today:
Lifetime access to 40+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want
Friendly and fast support in the course Q&A whenever you have questions or get stuck
FULL money back guarantee for 30 days!
Who is this course for?
Self-taught programmers who have a basic knowledge in Python and want to be professional in Data Structures and Algorithms and begin interviewing in tech positions!
As well as students currently studying computer science and want supplementary material on Data Structures and Algorithms and interview preparation for after graduation!
As well as professional programmers who need practice for upcoming coding interviews.
And finally anybody interested in learning more about data structures and algorithms or the technical interview process!
This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms , increase your earning potential or just want a job with more freedom, this is the right course for you!
The topics that are covered in this course.
Section 1 – Introduction
- What are Data Structures?
- What is an algorithm?
- Why are Data Structures and Algorithms important?
- Types of Data Structures
- Types of Algorithms
Section 2 – Recursion
- What is Recursion?
- Why do we need recursion?
- How Recursion works?
- Recursive vs Iterative Solutions
- When to use/avoid Recursion?
- How to write Recursion in 3 steps?
- How to find Fibonacci numbers using Recursion?
Section 3 – Cracking Recursion Interview Questions
- Question 1 – Sum of Digits
- Question 2 – Power
- Question 3 – Greatest Common Divisor
- Question 4 – Decimal To Binary
Section 4 – Bonus CHALLENGING Recursion Problems (Exercises)
- power
- factorial
- productofArray
- recursiveRange
- fib
- reverse
- isPalindrome
- someRecursive
- flatten
- captalizeFirst
- nestedEvenSum
- capitalizeWords
- stringifyNumbers
- collectStrings
Section 5 – Big O Notation
- Analogy and Time Complexity
- Big O, Big Theta and Big Omega
- Time complexity examples
- Space Complexity
- Drop the Constants and the non dominant terms
- Add vs Multiply
- How to measure the codes using Big O?
- How to find time complexity for Recursive calls?
- How to measure Recursive Algorithms that make multiple calls?
Section 6 – Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft)
- Product and Sum
- Print Pairs
- Print Unordered Pairs
- Print Unordered Pairs 2 Arrays
- Print Unordered Pairs 2 Arrays 100000 Units
- Reverse
- O(N) Equivalents
- Factorial Complexity
- Fibonacci Complexity
- Powers of 2
Section 7 – Arrays
- What is an Array?
- Types of Array
- Arrays in Memory
- Create an Array
- Insertion Operation
- Traversal Operation
- Accessing an element of Array
- Searching for an element in Array
- Deleting an element from Array
- Time and Space complexity of One Dimensional Array
- One Dimensional Array Practice
- Create Two Dimensional Array
- Insertion – Two Dimensional Array
- Accessing an element of Two Dimensional Array
- Traversal – Two Dimensional Array
- Searching for an element in Two Dimensional Array
- Deletion – Two Dimensional Array
- Time and Space complexity of Two Dimensional Array
- When to use/avoid array
Section 8 – Python Lists
- What is a List? How to create it?
- Accessing/Traversing a list
- Update/Insert a List
- Slice/ from a List
- Searching for an element in a List
- List Operations/Functions
- Lists and strings
- Common List pitfalls and ways to avoid them
- Lists vs Arrays
- Time and Space Complexity of List
- List Interview Questions
Section 9 – Cracking Array/List Interview Questions (Amazon, Facebook, Apple and Microsoft)
- Question 1 – Missing Number
- Question 2 – Pairs
- Question 3 – Finding a number in an Array
- Question 4 – Max product of two int
- Question 5 – Is Unique
- Question 6 – Permutation
- Question 7 – Rotate Matrix
Section 10 – CHALLENGING Array/List Problems (Exercises)
- Middle Function
- 2D Lists
- Best Score
- Missing Number
- Duplicate Number
- Pairs
Section 11 – Dictionaries
- What is a Dictionary?
- Create a Dictionary
- Dictionaries in memory
- Insert /Update an element in a Dictionary
- Traverse through a Dictionary
- Search for an element in a Dictionary
- Delete / Remove an element from a Dictionary
- Dictionary Methods
- Dictionary operations/ built in functions
- Dictionary vs List
- Time and Space Complexity of a Dictionary
- Dictionary Interview Questions
Section 12 – Tuples
- What is a Tuple? How to create it?
- Tuples in Memory / Accessing an element of Tuple
- Traversing a Tuple
- Search for an element in Tuple
- Tuple Operations/Functions
- Tuple vs List
- Time and Space complexity of Tuples
- Tuple Questions
Section 13 – Linked List
- What is a Linked List?
- Linked List vs Arrays
- Types of Linked List
- Linked List in the Memory
- Creation of Singly Linked List
- Insertion in Singly Linked List in Memory
- Insertion in Singly Linked List Algorithm
- Insertion Method in Singly Linked List
- Traversal of Singly Linked List
- Search for a value in Single Linked List
- Deletion of node from Singly Linked List
- Deletion Method in Singly Linked List
- Deletion of entire Singly Linked List
- Time and Space Complexity of Singly Linked List
Section 14 – Circular Singly Linked List
- Creation of Circular Singly Linked List
- Insertion in Circular Singly Linked List
- Insertion Algorithm in Circular Singly Linked List
- Insertion method in Circular Singly Linked List
- Traversal of Circular Singly Linked List
- Searching a node in Circular Singly Linked List
- Deletion of a node from Circular Singly Linked List
- Deletion Algorithm in Circular Singly Linked List
- Method in Circular Singly Linked List
- Deletion of entire Circular Singly Linked List
- Time and Space Complexity of Circular Singly Linked List
Section 15 – Doubly Linked List
- Creation of Doubly Linked List
- Insertion in Doubly Linked List
- Insertion Algorithm in Doubly Linked List
- Insertion Method in Doubly Linked List
- Traversal of Doubly Linked List
- Reverse Traversal of Doubly Linked List
- Searching for a node in Doubly Linked List
- Deletion of a node in Doubly Linked List
- Deletion Algorithm in Doubly Linked List
- Deletion Method in Doubly Linked List
- Deletion of entire Doubly Linked List
- Time and Space Complexity of Doubly Linked List
Section 16 – Circular Doubly Linked List
- Creation of Circular Doubly Linked List
- Insertion in Circular Doubly Linked List
- Insertion Algorithm in Circular Doubly Linked List
- Insertion Method in Circular Doubly Linked List
- Traversal of Circular Doubly Linked List
- Reverse Traversal of Circular Doubly Linked List
- Search for a node in Circular Doubly Linked List
- Delete a node from Circular Doubly Linked List
- Deletion Algorithm in Circular Doubly Linked List
- Deletion Method in Circular Doubly Linked List
- Entire Circular Doubly Linked List
- Time and Space Complexity of Circular Doubly Linked List
- Time Complexity of Linked List vs Arrays
Section 17 – Cracking Linked List Interview Questions (Amazon, Facebook, Apple and Microsoft)
- Linked List Class
- Question 1 – Remove Dups
- Question 2 – Return Kth to Last
- Question 3 – Partition
- Question 4 – Sum Linked Lists
- Question 5 – Intersection
Section 18 – Stack
- What is a Stack?
- Stack Operations
- Create Stack using List without size limit
- Operations on Stack using List (push, pop, peek, isEmpty, )
- Create Stack with limit (pop, push, peek, isFull, isEmpty, )
- Create Stack using Linked List
- Operation on Stack using Linked List (pop, push, peek, isEmpty, )
- Time and Space Complexity of Stack using Linked List
- When to use/avoid Stack
- Stack Quiz
Section 19 – Queue
- What is Queue?
- Queue using Python List – no size limit
- Queue using Python List – no size limit , operations (enqueue, dequeue, peek)
- Circular Queue – Python List
- Circular Queue – Python List, Operations (enqueue, dequeue, peek, )
- Queue – Linked List
- Queue – Linked List, Operations (Create, Enqueue)
- Queue – Linked List, Operations (Dequeue(), isEmpty, Peek)
- Time and Space complexity of Queue using Linked List
- List vs Linked List Implementation
- Collections Module
- Queue Module
- Multiprocessing module
Section 20 – Cracking Stack and Queue Interview Questions (Amazon,Facebook, Apple, Microsoft)
- Question 1 – Three in One
- Question 2 – Stack Minimum
- Question 3 – Stack of Plates
- Question 4 – Queue via Stacks
- Question 5 – Animal Shelter
Section 21 – Tree / Binary Tree
- What is a Tree?
- Why Tree?
- Tree Terminology
- How to create a basic tree in Python?
- Binary Tree in The Complete Data Structures and Algorithms Course in Python
- Types of Binary Tree
- Binary Tree Representation
- Create Binary Tree (Linked List)
- PreOrder Traversal Binary Tree (Linked List)
- InOrder Traversal Binary Tree (Linked List)
- PostOrder Traversal Binary Tree (Linked List)
- LevelOrder Traversal Binary Tree (Linked List)
- Searching for a node in Binary Tree (Linked List)
- Inserting a node in Binary Tree (Linked List)
- Delete a node from Binary Tree (Linked List)
- Delete entire Binary Tree (Linked List)
- Create Binary Tree (Python List)
- Insert a value Binary Tree (Python List)
- Search for a node in Binary Tree (Python List)
- PreOrder Traversal Binary Tree (Python List)
- InOrder Traversal Binary Tree (Python List)
- PostOrder Traversal Binary Tree (Python List)
- Level Order Traversal Binary Tree (Python List)
- Delete a node from Binary Tree (Python List)
- Entire Binary Tree (Python List)
- Linked List vs Python List Binary Tree
Section 22 – Binary Search Tree
- What is a Binary Search Tree? Why do we need it?
- Create a Binary Search Tree
- Insert a node to BST
- Traverse BST
- Search in BST
- Delete a node from BST
- Delete entire BST
- Time and Space complexity of BST
Section 23 – AVL Tree
- What is an AVL Tree?
- Why AVL Tree?
- Common Operations on AVL Trees
- Insert a node in AVL (Left Left Condition)
- Insert a node in AVL (Left Right Condition)
- Insert a node in AVL (Right Right Condition)
- Insert a node in AVL (Right Left Condition)
- Insert a node in AVL (all together)
- Insert a node in AVL (method)
- Delete a node from AVL (LL, LR, RR, RL)
- Delete a node from AVL (all together)
- Delete a node from AVL (method)
- Delete entire AVL
- Time and Space complexity of AVL Tree
Section 24 – Binary Heap
- What is Binary Heap? Why do we need it?
- Common operations (Creation, Peek, sizeofheap) on Binary Heap
- Insert a node in Binary Heap
- Extract a node from Binary Heap
- Delete entire Binary Heap
- Time and space complexity of Binary Heap
Section 25 – Trie
- What is a Trie? Why do we need it?
- Common Operations on Trie (Creation)
- Insert a string in Trie
- Search for a string in Trie
- Delete a string from Trie
- Practical use of Trie
Section 26 – Hashing
- What is Hashing? Why do we need it?
- Hashing Terminology
- Hash Functions
- Types of Collision Resolution Techniques
- Hash Table is Full
- Pros and Cons of Resolution Techniques
- Practical Use of Hashing
- Hashing vs Other Data structures
Section 27 – Sort Algorithms
- What is Sorting?
- Types of Sorting
- Sorting Terminologies
- Bubble Sort
- Selection Sort
- Insertion Sort
- Bucket Sort
- Merge Sort
- Quick Sort
- Heap Sort
- Comparison of Sorting Algorithms
Section 28 – Searching Algorithms
- Introduction to Searching Algorithms
- Linear Search
- Linear Search in Python
- Binary Search
- Binary Search in Python
- Time Complexity of Binary Search
Section 29 – Graph Algorithms
- What is a Graph? Why Graph?
- Graph Terminology
- Types of Graph
- Graph Representation
- Create a graph using Python
- Graph traversal – BFS
- BFS Traversal in Python
- Graph Traversal – DFS
- DFS Traversal in Python
- BFS Traversal vs DFS Traversal
- Topological Sort in The Complete Data Structures and Algorithms Course in Python
- Topological Sort Algorithm
- Topological Sort in Python
- Single Source Shortest Path Problem (SSSPP)
- BFS for Single Source Shortest Path Problem (SSSPP)
- BFS for Single Source Shortest Path Problem (SSSPP) in Python
- Why does BFS not work with weighted Graphs?
- Why does DFS not work for SSSP?
- Dijkstra’s Algorithm for SSSP
- Dijkstra’s Algorithm in Python
- Dijkstra Algorithm with negative cycle
- Bellman Ford Algorithm
- Bellman Ford Algorithm with negative cycle
- Why does Bellman Ford run V-1 times?
- Bellman Ford in Python
- BFS vs Dijkstra vs Bellman Ford
- All pairs shortest path problem
- Dry run for All pair shortest path
- Floyd Warshall Algorithm
- Why Floyd Warshall?
- Floyd Warshall with negative cycle,
- Floyd Warshall in Python,
- BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall,
- Minimum Spanning Tree,
- Disjoint Set,
- Disjoint Set in Python,
- Kruskal Algorithm,
- Kruskal Algorithm in Python,
- Prim’s Algorithm,
- Prim’s Algorithm in Python,
- Prim’s vs Kruskal
Section 30 – Greedy Algorithms
- What is Greedy Algorithm?
- Well known Greedy Algorithms
- Activity Selection Problem
- Activity Selection Problem in Python
- Coin Change Problem
- Coin Change Problem in Python
- Fractional Knapsack Problem
- Fractional Knapsack Problem in Python
Section 31 – Divide and Conquer Algorithms
- What is a Divide and Conquer Algorithm?
- Common Divide and Conquer algorithms
- How to solve Fibonacci series using Divide and Conquer approach?
Read the full article
0 notes
Text
Data Structures & Algorithms Udemy Free Download - GetFreeCourses
Most of my students know me for my practical, project-based courses and tutorials. I wanted to create something to give you more fundamental skills for problem solving. That’s where the idea for this challenges course came from. I want to take my down-to-earth explanations to help you get a better understanding of the code that you write and help you write more efficient code.
This course is for all levels as long as you have a basic understanding of things like loops, functions, arrays, etc. We are writing JavaScript in this course, but about 95% of it can translate to any other language. So even if you are a Python, PHP or C# developer, you can still follow along.
Basic Challenges:
We start with a bunch of basic challenges that have to do with iteration and loops. Things like FizzBuzz and string reversals. These are very popular questions for entry-level interviews. We also move on to solving problems with high order array methods like filter and map.
Recursion:
Recursion is one of the toughest things to learn in programming. We have an entire section dedicated to it with challenges that we solve using recursion.
Time & Space Complexity:
We talk about how to measure an algorithm or function’s efficiency by using time and space complexity to see how the runtime and memory scale when inscreasing the input.
Data Structures: Stacks, Queues, Trees, Linked Lists, Graphs, HashMaps
We go over all of the common data structures and create our own implementation of them using JavaScript classes, but like I said, you could use any language. We also learn how to traverse them and complete challenges using them.
Sorting Algorithms:
We get into different sorting algorithms like bubble sort, insertion, selection, merge and quick sort. These are popular topics for interviews.
Read the full article
0 notes
Text
C++ Programming Essentials for Beginners Udemy Free Download
C++ Programming Essentials for Beginners: Your Gateway to Free Learning at GetFreeCourses.uk
C++ Programming Essentials for Beginners. Are you eager to dive into the captivating realm of C++ programming but concerned about course costs? Look no further! At GetFreeCourses.uk, we are thrilled to provide you with free access to our extensive "C++ Programming Essentials for Beginners" course available on Udemy.
C++ is a potent and versatile programming language widely employed in software development, game creation, and more. Our course, tailored for novices, serves as the perfect stepping stone to construct a robust foundation in C++.
From comprehending fundamental concepts like variables and data types to navigating through loops and functions, this course covers the entire spectrum. Why pay for knowledge when you can acquire it for free? Visit GetFreeCourses.uk today and unlock your potential. Learn C++ the savvy way - without spending a cent!
C++ Programming Essentials for Beginners
Are you an absolute beginner excited to launch your programming journey? Learning to code can be a daunting task, but worry not. Welcome to C++ Programming Essentials, the foundational course that every aspiring programmer should embark on to initiate their programming journey.
This course not only imparts the fundamental building blocks of programming but also cultivates a logical, problem-solving mindset using C++ as our programming medium. The concepts you'll grasp in this course are transferable to other languages like Java, Python, and JavaScript, with minimal adjustments to coding syntax.
You will gain a grasp of the basic concepts and techniques for dissecting complex problems into manageable segments through the use of flowcharts, pseudo code, and a comprehensive exploration of C++ topics, such as:
- Variables and data types
- Flow control via branching and loops
- Functions
- Arrays, character arrays, and strings
- Recursion
- Bitmasking
- Object-Oriented Programming concepts
C++ Programming Essentials for Beginners Udemy Free Download
Course Highlights:
- High-Definition Videos
- Intuitive Explanations
- Novice-Friendly Instruction
- Proven, Industry-Recognized Curriculum
- Engaging Assignments and Q&A Support
- Certificate of Completion
This course serves as your primary stepping stone toward enhancing your problem-solving skills and ensuring your foundational knowledge is rock-solid. Upon completing this course, you'll be well-equipped to pursue advanced programming languages and delve into subjects like Data Structures, Algorithms, and Competitive Programming. Leading companies such as Google, Facebook, Amazon, Directi, CodeNation, and Goldman Sachs highly value algorithmic programming skills and frequently organize coding competitions to recruit talented individuals who can tackle complex problems.
Prateek Narang, your instructor for this course, is not only a seasoned software engineer but also a passionate educator with numerous bestselling courses in the Algorithms category on Udemy. He has a wealth of experience, having worked with industry giants like Google and co-founded two startups, including Coding Minutes, which is now an integral part of Scaler Academy.
So, embark on your C++ programming journey today with our free course at GetFreeCourses.uk and unlock a world of coding possibilities.
Read the full article
0 notes
Text
Master CSS for JavaScript Developers: Josh Comeau’s Guide
Master CSS for JavaScript Developers: Josh Comeau’s Guide
Boost Your Web Design Skills: Download Josh Comeau’s CSS
Guide for JavaScript Developers
Are you a JavaScript developer who struggles with CSS? Do you find yourself spending hours trying to make your designs look good, only to end up with a mess of spaghetti code? If so, you’re not alone! Fortunately, web developer and designer Josh Comeau has created a free guide that will help you master CSS and take your web design skills to the next level.
In this course Master CSS for JavaScript Developers: Josh Comeau’s Guide, Comeau breaks down CSS into easy-to-understand concepts and provides real-world examples that will help you create beautiful, responsive designs. You’ll learn how to use CSS to:
- Create layouts with flexbox and grid
- Style typography and create responsive text
- Use CSS variables to create reusable styles
- Animate elements with CSS transitions and keyframes
- And much more!
Master CSS for JavaScript Developers: Josh Comeau’s Guide
In the world of web development, mastering CSS (Cascading Style Sheets) is crucial for creating visually stunning and responsive websites. While JavaScript is essential for interactivity and functionality, CSS is what makes your web pages visually appealing. If you're a JavaScript developer looking to level up your CSS skills, you're in for a treat with Josh Comeau's Guide.
Josh Comeau, a front-end developer and educator, has created a comprehensive guide specifically tailored for JavaScript developers who want to excel in CSS. Let's delve into what makes this resource so valuable.
Why CSS Matters for JavaScript Developers
While JavaScript powers the interactivity of web applications, CSS plays a vital role in defining the look and feel of the site. Effective styling can greatly enhance the user experience. With Josh Comeau's guide, JavaScript developers can bridge the gap between functionality and aesthetics.
Comprehensive Learning Experience
Josh Comeau's guide is structured to take you from CSS fundamentals to advanced techniques. It covers everything from basic styling, layout, and typography to complex topics like CSS animations and transitions.
Hands-on Approach
The guide not only provides theoretical knowledge but also offers plenty of hands-on practice. You'll work on practical exercises and projects that reinforce your understanding and allow you to apply what you've learned.
Real-World Examples
Throughout the course, Josh uses real-world examples to illustrate how CSS is used in practical web development. This contextual approach helps you understand the relevance of each concept.
Interactive and Engaging
Josh's teaching style is engaging and interactive. He explains concepts in a way that's easy to grasp, even for those new to CSS. His enthusiasm for the subject matter is infectious and will motivate you to dive deeper into the world of CSS.
Elevate Your Web Development Skills
With Josh Comeau's Guide on GetFreeCourses, JavaScript developers can elevate their web development skills by mastering CSS. The ability to create visually appealing, responsive, and user-friendly websites is a valuable asset in today's digital landscape.
Start your journey to becoming a CSS expert and unlock new opportunities in web development. Dive into the guide today and take your web development skills to the next level.
Master CSS for JavaScript Developers: Josh Comeau’s Guide
What’s more, Master CSS for JavaScript Developers: Josh Comeau’s Guide is designed specifically for JavaScript developers, so you’ll learn how to integrate CSS seamlessly into your JavaScript projects.
So why wait? Download Josh Comeau’s free CSS guide today and start creating beautiful, responsive designs with confidence!
Download Part 2
Read the full article
0 notes
Text
Ethereum Blockchain Developer Bootcamp With Solidity (2023)
Ethereum Blockchain Developer Bootcamp With Solidity
Welcome to the Ethereum Blockchain Developer Bootcamp With Solidity. The only course you’ll need to become an Ethereum blockchain developer. With over 1,900 ⭐️⭐️⭐️⭐️⭐️ reviews, this course is one of the highest-rated Ethereum blockchain development courses online. Updated video tutorials, practical projects, and fast support in the discussion board are how you master Ethereum blockchain development.
At 13+ hours, this Ethereum blockchain development course is undoubtedly the most comprehensive course of its kind anywhere online.
Even if you have zero or limited programming experience, this course will take you from beginner to Ethereum blockchain developer. Here’s why:
- The course gets taught by the co-creator of the industry standard Ethereum certification.
- The course has been updated for 2021, so you’ll be learning with all of the latest tools.
- The course doesn’t cut corners. You’ll learn by building real-world projects in our practical labs.
- We’ve taught over 100,000 students in the cryptocurrency & blockchain ecosystem.
- You’ll save yourself over $10,000. Yet, get access to the same materials as in-person bootcamps.
- The course gets regularly updated with new content, projects and modules.
We’ll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as an Ethereum blockchain developer.
By the end of this course, you will be fluently programming Ethereum blockchain apps, and you’ll be so good that you can get a job or use your skills professionally.
You’ll also build a portfolio of projects that you can show off to any potential employer.
Ethereum Blockchain Developer Bootcamp With Solidity
Don’t just take our word for it. See what existing students have to say:
⭐️⭐️⭐️⭐️⭐️ “The level of details and the careful explanation of them is unexpected. Saved hours of digging up documentation and tests – solved many questions I had even with some experience. Thanks a lot.” – Daniel Porto
⭐️⭐️⭐️⭐️⭐️ “I’ve been slowly working through this course for a couple of months now and have been LOVING it. The instruction comes at the perfect pace. The teachers are knowledgeable, and the supporting resources are packed with great labs and helpful information. Also, important for the ETH development space, the resources get constantly updated. When doing labs, I will often notice that the ‘last updated’ date is within the past week. I have taken a couple of other ETH development courses, and this is by far the best. For aspiring ETH developers, I would highly recommend this course!” – Walton Jones
⭐️⭐️⭐️⭐️⭐️ “I’m enjoying every lab in this course. Everything is constantly updated. There are helpful PDF files for quick references while you are trying to code alone, honestly one of the best, if not the best, Udemy course I have taken so far. Every question I had got answered in the deep dive explanation lesson that followed the practical lesson. I couldn’t ask for more! Thank you, Thomas and Ravinder. I hope you will do some EOSIO courses!” – Saeed Dawod
We’re so confident you’ll love this course that we offer a full 30-day money-back guarantee. Join today with zero risks and everything to gain by learning a new skill.
Ethereum Blockchain Developer Bootcamp With Solidity
Who this course is for:
- Individuals Who Want To Benefit From One Of The Most In-Demand Skills.
- Technologists Who Want To Join The Highest Paid Developer Workforce.
- Freelancers Who Want To Earn Money Writing Building Blockchain Apps.
- Developers Who Want To Build Ethereum Blockchain Applications Using Solidity.
- Professionals Who Want To Add ‘Blockchain Developer’ To Their Resume.
Created by Ravinder Deol, Thomas Wiesner, Martin Sterlicchi
Last updated 4/2023
English
English
Size: 7.22 GB
Google Drive Links
Download Part 1 | Download Part 2
Torrent Links
Download Now
https://www.udemy.com/course/blockchain-developer/.
Read the full article
1 note
·
View note
Text
Data Structure & Algorithm FAANG - GetFreeCourses
Data Structure & Algorithm FAANG
Ace the Google, Amazon, Facebook, Microsoft, Netflix coding
interviews. Step by step guide for their toughest questions!
What you’ll learn
- Solve Easy to Medium Difficulty problems that address different data strutures
- Have an understanding of how to systematically approach coding problems in a step by step manner
- Learn everything you need to ace difficult coding interviews
- Practice dozens of different challenges
- Master commonly asked interview questions
- Ace the coding interview at the top tech companies (Google, Amazon, Facebook, Apple, Microsoft, Netflix + others)
- The ultimate resource to prepare for coding interviews, tech interviews and programming interviews
- Use the right Data Structures and Algorithms to pass coding interview questions that have the optimal solution
- Step by step guide to common questions, how to solve them, optimize, and present them during tech interview
- Learn exactly what you need to answer difficult questions and the framework you need for ANY kind of questions they throw at you
Requirements
- Basic Knowledge of DS & Algo
- Basic Knowledge of any one programming language like C++/Java/Python/C#…
- If you have the ambition to learn and get into one of these companies we will make it achievable for you! (see our student success stories)
Data Structure & Algorithm FAANG
Description
Brand new course ready for the 2022 hiring season! Join a course taught by industry experts that have actually worked both at top tech firms. Graduates of this course are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook + other top tech companies.
This is the ultimate resource to prepare you for coding interviews. Everything you need in one place!
Do you know entry level engineers at top tech companies like Google , Microsoft , Facebook … makes over $150,000 per year
So how we can get these paying high paying jobs ? the answer is pretty simple we need to crack their coding interviews.
Now coding interviews at these top tech companies are definitely tough to crack and there is only ONE method to get these high paying jobs– and that is PRACTICE! Practicing dozens of coding questions is what makes the difference between a job offer for a $150k USD and another rejection email. This course is going to not only give you dozens of questions to practice on, but it will also make sure you understand the tricks behind solving each question, so you’ll be able to perform in a real interview.
Data Structure & Algorithm FAANG
Taught by industry experts
This course is taught by Harsh who is popular programming instructor and an ace software engineer, currently working with Amazon and has bagged job offers from Microsoft , Samsung and Flipkart in past .His aim is to bring high quality courses at pocket friendly pricing. He is known for amazingly simplified explanations. Harsh has over 3+ years of teaching experience and has trained over 10,000+ students in his online courses in the past. His expertise lies in data structures and algorithms, coding interview preparation. Many of his ex-students are now working in top product companies like Apple, Google, Amazon, Microsoft, Samsung, Adobe and more.
Super Responsive Instructors
As if this course wasn’t complete enough, we offer full support, answering any questions you have within 6 hours ,7 days a week (whereas many instructors answer just once per week, or not at all).
This means you’ll never find yourself stuck on one lesson for days on end. With our hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.
Refund Guarantee
This course comes with a full 30 day money-back guarantee.
You either end up with getting those high paying jobs and make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…
You literally can’t lose.
WHAT OUR LEARNERS ARE SAYING:
5 STARS – this course is amazing
it delivers what it promises, from zero to mastery .the use of c++ was the best for me, better than other courses, finally i can solve problems using recursive and understand a lot of things .a small suggestion to the creators other courses are popular due to the use of graphics and animations in the videos, so, if you can enhance that part a bit because your content is pure gold and please add real interview question from big companies another thing, please expose more of your content by making more videos available to view before purchase, i almost did not buy this course because of this Keep up the good work and many thanks 🙂
5 STARS – Feeling very prepared for my upcoming interview – the explanations are very clear and helpful.
5 STARS – Really enjoying this course. Problems and solutions are explained very clearly – a lot better than the typical here is the solution to this problem. Ankit appears to really know this stuff. He spends the first half of each video working out examples on the white board before attempting the solution. And the best part is that Ankit responds quickly to all the questions asked. If you hit a road block doing LeetCode problems, get this course. Worth every penny.
5 STARS – very good problems covered and also instructor wrote very clean and good code.Instructor is very responsive Thanks for the course
5 STARS – Great course to learn coding interview problems.
5 STARS – The best course to prepare for coding interviews has lucid explaination of each and every problem.very good and simple to understand the codes as well as examples. The instructors are truly amazing. They make very simple to learn difficult topics. I highly recommended this course to crack coding interview.
5 STARS – He really knows how to explain concepts and repeats until it clicks in the head. Also I like the way he doesn’t jump to the code until he explains all the concepts and algorithm to do with the problem.
5 STARS – like the clear-cut style. no nonsense!
5 STARS – This course is really amazing. instructor is going beyond and beyond each and every thing was my beyond expectations. really mastery course it is.
5 STARS – This is the best course on data structure compare to all data structure course .all the topic of data structure has been completed in this course .if anyone want to learn data structure then you can go for it. thank you sir for making this course on udemy
5 STARS – This is the best computer science course I’ve taken. If you need to learn C++ and pass your technical interviews, this is the course to take. The explanations in the videos are extremely thorough, and I have reached out to the instructor several times on various questions, and he’s always quick to respond and very helpful. In my experience, every MOOC that said its instructors would actively help you with problems lied, EXCEPT FOR THIS COURSE. TAKE THIS COURSE!
5 STARS – I liked this course very much! It clears out your basics quite well and is does totally what Harsh and Ankit claim they’ll do. I would recommend this to everyone who wants to learn Data Structures and Algorithms, especially if you had a phobia for coding like I did. I now love coding! All thanks to them.
5 STARS – This is the BEST COURSE on C++ Data Structures & Algorithms. The Instructors are the BEST. They Draw Everything out and Then EXPLAIN THE CONCEPTS VERY WELL & then CODE it. Also I Love Doing the LEETCODE ProblemSets. Absolutely Fantastic. Above my Expectations. I am taking this course for COMPETITIVE PROGRAMMING. It is the BEST COURSE. Thank you very much Ankit and Harsh. You guys are the BEST!
5 STARS – My first comment on udemy. These guys are genius. I normally get bored through a tutorial but i’m hooked on your course brothers. I hope to join you at microsoft or amazon soon.
5 STARS – Everyone, look into this course. It’s amazing. I have been struggling with data structures and algorithm but this course explanation is really really great and now I can solve some challenging questions. THANK YOU GUYS
Data Structure & Algorithm FAANG
Highlights
- Course is specially designed for people who wants to get that dream job ?
- Course follow step-by-step approach to solve any coding question
- Pen tablet to write on the screen and provide even more visual explanations.
- 47+ hours of rich content
- 100+ HD videos
- Learn from industry experts working at top tech companies Amazon , Microsoft
- The course is continually updated and enhanced.
- MOST Importantly, this course teach students the real-life skills needed to get those in-demand jobs
- Articles , Coding exercises, Assignments , quizzes
- preselected set of the most important coding interview problems based on my 6 year experience
- Practices questions and personal walkthroughs of the most commonly asked interview questions
- Full lifetime access
- I have spent many hours combing through interview questions asked at Google, Facebook, and Amazon to make sure you know how to answer questions asked by the most well-paying companies out there.
Unlike most instructors out there, We are not marketers or salespeople. Other instructors themselves have not cracked FAANG interviews but we are different we have cracked coding interviews of Amazon , Microsoft , Uber , Samsung , Flipkart and are working at FAANG companies.
Our job as instructors will be successful if we are able to help you get your dream job at a big company. This one skill of mastering the coding interview can really change the course of your career and life and we hope you sign up today to see what it can do for your career!
Data Structure & Algorithm FAANG
The best time to start was yesterday. The next best time is now
Click the Buy Now button and start learning now!
Note : I will be writing the code in C++ but you can easily figure out mapping to other languages like Java/JS/Python…
Who this course is for:
- Any one who is preparing for a coding interview
- Anyone that wants to work a Google, Amazon, Facebook, Microsoft, Apple, Netflix or other top tech companies
- Any engineer, developer, programmer, who wants to improve their interviewing skills
- Anyone interested in improving their whiteboard coding skills
- Anyone who wants to become a better developer
- Any self taught programmer who missed out on a computer science degree
Download Part 1
Read the full article
0 notes
Text
Best ways to learn languages fast - GetFreeCourses
How to learn any language: Best ways to learn languages fast - GetFreeCourses
Tips, advice and Best ways to learn languages fast you
want, for all levels up to advanced polyglot learners
What you’ll learn
-
Get ready to learn the best and most efficient techniques to learn any language!
-
How to use what you already know to learn a foreign language
-
How to learn by speaking, writing, listening and reading
-
Make the most out of your materials like books or apps
-
Adopt the right way of thinking to maximise learning
Description
- Are you learning a language now?
- Can you use some help?
- Do you want to get ideas, tips and advice to learn faster?
This is the perfect course!
In this course, you’ll learn how to learn any language you wish to learn. You’ll discover techniques like language exchanges, immersion and what to do in a language class, along with advice on how to use these language learning techniques. The course is based on my personal experiences and uses my experience as a language teacher.
Best ways to learn languages fast
Applicable to all languages
It doesn’t matter which language you’re learning, whether it’s the easiest or the hardest language to learn. The tips, like learning with Netflix or with Fluentu, can be applied to any language and both online and offline. You’ll also learn how to learn with language courses and physical classes.
You’ll learn how to:
- Define your methods and reasons for learning.
- Use the language(s) you already know.
- Make your learning more efficient.
- Learn by reading and listening.
- Use your teacher and the other students.
- Immerse yourself, whether you’re abroad or at home.
- Let technology help you.
- Use books and hobbies.
- Adopt the right mindset.
- Get new words in your head.
- … and more.
So, ready to become a polyglot?
See you inside,
Alain
Who this course is for:
- Language learners in need of inspiration, advice or tips.
Best ways to learn languages fast
Last Updated 12/2022
Download Links
Direct Download
How to learn any language: best ways to learn languages fast.zip (1.4 GB) | Mirror
Read the full article
0 notes
Text
Comprehensive course on criminal law - GetFreeCourses
5 hour detailed course on Indian Penal Code (IPC) covering syllabus for
all the major law examinations in India.
Description
Comprehensive course on criminal law - GetFreeCourses.uk is divided into 9 modules that manifest the crucial chapters through which a better understanding of the substantial criminal law in India is ensured. The Course envelops in-depth knowledge about the structure of the Indian Penal Code which includes contents on abetment, offences against State, body, sexual offences, property, and many more.
Comprehensive course on criminal law
The interactive structure of the course will make the subject interesting and the course is designed in such a way that it deliberates every diverse concept of the substantial criminal law to its crux. The concepts and definitions have been simplified to provide a better understanding of the topics covered under the Indian Penal Code. The major objective of providing this course is to give thorough knowledge about the subject to every student in a systematic manner which will be helpful in clearing university exams and competitive exams.
This course shall offer the following-
- 9 Major modules covering the entire structure of IPC
- Video Lectures
- Important Case Laws
- Flow Charts, Diagrams, and Assessment Tests to test your knowledge.
- Smart description and easy bifurcation of the concepts.
- Easy to understand with the help of graphical elucidations and animations.
This course is structured in a self-paced learning style. Each and every concept is broken down as various micro-lectures and then they are substantiated with examples and case laws.
Comprehensive course on criminal law
The Course has been curated for students who are intrigued to gain knowledge about the criminal justice system and understand the structure and concepts under the Indian Penal Code. With 35+ lectures, this is a comprehensive course and no stone is left unturned- theory, practice, case laws, and even homework exercises. And moreover, this course is step by step, and thus regardless of your experience in the legal field, you shall be successful with this course.
It doesn’t matter if you’re a beginner or an expert you can rewind, refresh or breeze through at your own pace. And if you get stuck, I offer fast support in Q and A area. So what are you waiting for, Join me in this incredible learning experience today.
Who this course is for:
- Law Students studying LL.B program
- Students appearing for Law examination- CLAT, Judiciary, NET, IAS. University exams and even professional exams like CS, CA etc.
- Those who want to seek a career in criminal law litigation.
- Any one who is interested to learn about IPC to get the basics clear.
Requirements
- Nothing! We’ll cover everything from A-Z.
- Access to the Internet is essential.
Last Updated 6/2021
Download Links
Direct Download
Indian Penal Code 1860: Comprehensive course on criminal law.zip (1.8 GB) | Mirror
Read the full article
0 notes
Text
Create and Publish Your Own Modules - GetFreeCourses
Create and Publish Your Own Modules
Unlock the Power of Python Packaging: Learn to Create, Publish, and
Share Your Own Custom Modules
Description
Create and Publish Your Own Modules - GetFreeCourses.uk . Unleash the full potential of your Python skills and ascend to new heights as a proficient package creator with our comprehensive course on Python packaging. This course is specifically designed for developers across all levels, offering an in-depth exploration of Python packaging. We guide you through the fundamental principles to the intricacies involved in creating, packaging, and distributing your own Python modules.
By enrolling in this course, you can anticipate numerous benefits:
In-Depth Understanding: Grasp the nuances of Python’s modules, scripts, packages, namespaces, and scope, setting a firm foundation for your Python packaging journey.
Practical Skills: Gain hands-on experience in writing and structuring your own Python packages, and learn to package them efficiently for distribution.
Publication Expertise: Understand the process of publishing your Python packages on PyPI, making them available to the global Python community.
Tools Mastery: Get acquainted with critical tools in the Python packaging ecosystem such as pip, setuptools, wheel, and twine, essential for effective package creation and distribution.
Project Documentation: Learn how to effectively manage your project documentation, create compelling README files, and comprehend the significance of software licenses.
Troubleshooting Techniques: Equip yourself with essential strategies to address common challenges that arise during the packaging and distribution process.
Best Practices: Immerse yourself in industry-standard best practices for Python packaging, preparing you for real-world application and efficient package management.
Supplementary Resources: Benefit from our additional resources designed to reinforce your learning and keep you abreast with the dynamic world of Python packaging.
Whether you’re just starting your journey as a Python developer or you’ve got extensive experience, this course provides a holistic, practical understanding of Python packaging. Empower your Python programming capabilities, enhance code reusability, and share your work with the global developer community by learning to publish your own Python packages. Enroll now and accelerate your Python development career to new horizons!
Who this course is for:
- Python Developers: This course is ideal for Python developers who want to deepen their understanding of packaging concepts and learn how to create and distribute their own Python modules. It will provide them with the skills needed to package their code in a reusable and distributable format, making it easier to share with others.
- Software Engineers: Software engineers working with Python will benefit from this course by gaining a comprehensive understanding of packaging techniques. They will learn how to structure their projects, manage dependencies, and distribute their software effectively, improving their overall development workflow.
- Open-Source Contributors: Individuals interested in contributing to open-source Python projects will find this course valuable. It will equip them with the knowledge to package their contributions properly, adhere to project guidelines, and collaborate effectively with the open-source community.
- Hobbyists and Self-Learners: Python enthusiasts who enjoy coding as a hobby or are self-learners seeking to enhance their Python skills will find this course beneficial. It offers practical knowledge and hands-on experience in packaging, enabling them to organize their code effectively and share their projects with others.
- Students and Learners: Students studying Python or related disciplines, such as computer science or data science, can benefit from this course. Packaging is a crucial aspect of software development, and understanding it early on can improve their coding practices and prepare them for real-world projects.
- Professionals Transitioning to Python: Professionals from other programming languages who are transitioning to Python will find this course helpful in understanding Python packaging conventions. It will provide them with the knowledge and skills to package their Python projects professionally and align with best practices in the Python ecosystem.
Requirements
- Basic Python Programming: Students should have a foundational understanding of Python programming concepts, including variables, data types, control flow, functions, and modules.
Last Updated 6/2023
Download Links
Direct Download
Python Packaging: Create and Publish Your Own Modules.zip (1.5 GB) | Mirror
You may also like : PYTHON MASTERCLASS 2023
Read the full article
0 notes
Text
Build Real World Python Projects - GetFreeCourses
Build Real World Python Projects
Python Masterclass 2023: Build 19 Real World Python Projects
Build Real World Python Projects course is designed for beginners who want to learn Python programming language from scratch.
The course contains two parts:
1. Python Basics (Section 1 to Section 14)
2. Python Projects(Section 15 to Section 44 )
Here Is What You Get By Enrolling In This Course:
Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.
High Quality Content: Over 55+ hours of HD(1080p) Videos.
Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django, Data Analysis, Flask, Tkinter, OpenCV, File Compression, Desktop App development with PostgreSQL & Web Scraping.
24 X 7 Support: I will always be there to guide you in your journey to become Python expert.
_________________________________________________________________________
Here Is Everything You Will Learn In This Complete Course:
In this hands-on course, you will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool.
This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics.
We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium.
The Complete Course is divided into 17 Major sections.
Here is a brief description of what you will learn in each section.
Section 1: Python basics.
This section covers all the basics of Python, starting right from installing the required tools to covering topics like mathematical operators, strings, accepting user input, string operations, variables, conditionals like if, elif, control structures such as while & for loop, functions, modules & packages, lists, file handling, OOP in Python, regular expressions. Almost every basic Python concept is covered in this section.
Section 2: Make GUI In Python Using Tkinter.
Once done with the basics, we know learn the Tkinter library which allows us to create desktop based applications with Python. We learn how to create GUI apps using Tkinter & Python and also build a fully functional Desktop app i.e a calculator.
Section 3: Making Database Oriented Desktop Apps With PostgreSQL.
Making a simple desktop app alone isn’t sufficient, it needs a backend database to store some data. To do the same we learn how to connect our desktop apps to the backend. In this section we build a student management system software using Python, Tkinter to design the GUI & PostgreSQL database to store the data for our application in the backend.
Section 4: File Compression & Encoding In Python.
In this section we will learn how to perform file compression in Python to reduce file size. We also learn how to de-compress the compressed data and the methods used for it. We build a GUI based file compression tool using Python & Tkinter and a file compression library.
Section 5: Text To Speech Converter Using Python.
Text could be converted into speech/audio and that is exactly what is being covered in this specific section where we build a tool that generates audio from a given text. Not just that, we also learn how to convert an entire text file into mp3 which can be used to generate audiobooks from ebooks. We also learn how to convert the user input into speech.
Section 6: QR Code Generator.
We build a simple tool that can convert any link and convert it into a QR code that can be scanned via any smartphone that has a QR code reader. This tool creates QR code images that can be shared anywhere and the entire tool is built using Python & Tkinter.
Build Real World Python Projects
Section 7: Video Downloader App.
In this section we built another tool to build our Python skills. This tool accepts a video URL, asks us to select the path where we want to download the specified video and then downloads that video to the specified path on our operating system. Not just that, this tool will also be able to convert video files into pure mp3 files as well. We build this tool from scratch right from architecting the code to designing the functionality to creating a user interface, all of it done using Python.
Section 8: Building A Credit Card Validator Using Lhun’s Algorithm.
In this section we will learn what is Lhun’s algorithm and how it is used to validate credit cards. We learn how Lhun’s algorithm can be implemented in Python and used to validate credit card numbers. This section is designed to teach algorithmic thinking and implementation in Python.
Section 9: Data Analysis.
Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. Hence in this section we learn how to use the tools and techniques used to perform data analysis. We start off by learning the Pandas library which is used to perform data analysis and all the basic concepts like DataFrames, Reindexing, Indexing, Broadcasting and also learn how to perform data plotting and visualisation with the Matplotlib library.
In this section we also have a data science project which is based on analysing supermarket data to find insightful information which helps take better business decisions. We also learn how to represent data visually using multiple types of charts and bar graphs built using matplotlib.
Section 10: Python Web Framework Django 3.
This section will teach you how to build full-stack web applications with Python & Django 3. Django is one of the most popular web frameworks for Python and is used to program the back-end side of out web app. In this section we will learn Django right from basics and will build a simple book store web application. We will learn how to create models, how to route URL requests, how to create different views for our web app, how to integrate HTML templates and a lot more.
In this section we also build a fully functional todo list application built using Django. This application performs all the basic CRUD operations which stands for Create, Read, Update & Delete data from the database. While building this application, we ensure that all the important concepts of Django are throughly covered and implemented.
Section 11: Python Web Framework Flask.
Flask is a micro web framework for Python used to build simpler web apps. If you want to develop some simple and small websites, you can do so using Flask. In this section we cover flask basics suck as Routing, Dynamic URLs, Templates, passing data to the server & site cookies.
Section 12: REST APIs Using Django Rest Framework.
In this section we learn how to build our own REST APIs using the Django Rest Framework. If you already have a Django web app built, you can create API endpoints for it using the Django Rest Framework. In this section we will build a fully functional REST API with features such as search, filtering & authentication.
Section 13: Web Scraping in Python.
Python can also be used to crawl websites and gather data from it. In this section we learn the same, we build a web crawler which crawls up any website of our choice and gathers links from it. Web crawlers are used by many search engines to rank websites and in this section we learn how to build a smaller version of it using Python.
Section 14: Automation with Python & Selenium.
Python is widely used for automation as well, especially for testing. Selenium web driver is one such tool which has been built for automating tests but the same can be used for automating other browser based tasks as well. In this section we learn how to automate tasks using Selenium and will also build a Facebook Bot that automatically posts status for us.
Section 15: Best Practices: Writing Clean & Efficient Python Code.
To be a good Python engineer/ developer you need to know how to write clean, concise and efficient Python code. In this section we learn some of the best practice that you must follow while writing Python code so.
Section 16: Network Programming In Python Using Sockets: Building A Chat Application.
Networking is an important concept in IT & Computer Science as it facilitates communication between devices or servers. Keeping this in mind, this section covers the basic networking concepts and we learn how to implement them using Python by building a simple desktop based chat application. In this section we learn what is an IP address, what are ports, sockets and buffers and how they could be used to implement a communication program. We lean how sockets can be used for communication between process on the same and on different devices.
Section 17: Image Processing With Python & OpenCV.
Python can also be used to process and manipulate images and videos. In this section we learn how to use OpenCV library with Python to manipulate images. We learn some interesting things like capturing webcam video, tracking images from a live video, different image thresholding techniques, image blurring, averaging and Gaussian filtering.
_________________________________________________________________________
Build Real World Python Projects
So let’s begin the journey of becoming an expert in Python.
In addition to the Udemy 30-day money back guarantee, you have my personal guarantee that you will love what you learn in this course. If you ever have any questions please feel free to message me directly and I will do my best to get back to you as soon as possible!
_________________________________________________________________________
Make sure to enrol in the course before the price changes.
Take yourself one step closer towards becoming a professional Python developer by clicking the “take this course button” now!
Join the journey.
Sincerely,
Ashutosh Pawar
Read the full article
0 notes
Text
Python for Finance and Data Science - GetFreeCourses
Dive into the world of Python for Finance and Data Science, where cutting-edge technology meets the dynamic field of financial analysis.
In this comprehensive course, I will guide you through the essential principles and practical techniques that will supercharge your financial analysis skills. Whether you’re an aspiring financial professional, data scientist, quant-oriented or simply eager to expand your knowledge, this course will empower you to extract valuable insights from financial data and make informed decisions.
Harness the power of Python, the industry’s leading programming language for data analysis and automation. Explore the intricacies of financial data retrieval, preprocessing, manipulation and gain the tools to transform raw data into compelling visualizations and intuitive dashboards.
Python for Finance and Data Science
Discover how to implement Portfolio Analysis and Portfolio optimization techniques, all using Python. Uncover hidden patterns in the data, build and backtest trading strategies, and explore algorithmic trading possibilities.
But it doesn’t stop there! This course goes beyond finance by incorporating essential data science concepts. You’ll master the art of Data manipulation, Portfolio Analysis, Applied Financial Analysis, Backtesting and uncover critical business insights.
Get ready for hands-on exercises, real-world examples, and expert guidance from an actively working quant finance professional
My engaging curriculum ensures a seamless learning experience as I am equipping you with the skills to excel in the fast-paced world of finance and Data Science.
Don’t miss this opportunity to transform your career and gain a competitive edge in the financial or data industry. Enroll now and unleash the full potential of Python for Finance and Data Science!
Python for Finance and Data Science
What will YOU learn in specific?
- Fundamental Python Programming
- An Introduction to one of the most powerful Data Science and Financial Data Analysis Libraries: Pandas
- A FULL guide into applied Financial Data Analysis
- A FULL guide into Portfolio Analysis and Portfolio Management with Python on real stock data
- You will learn to quantitatively analyze you own portfolio and give it a reality check!
- An Introduction to Backtesting Trading Strategies and Vectorization
- Optimizing a Portfolio using state of the art tools
- Advanced Trading Strategies using concepts of Optimization and Machine Learning
- Building state of the art and beautiful Interactive Finance Dashboard
- Learn about the powerful Intersection of Pandas & SQL and use it to leverage your knowledge
Why this course and no other one?
- I am actively working in the field of quant Finance covering Data Science and quantitive Finance topics since several years and wrote my Master Thesis in quantitative Finance – I know what’s relevant in practice but also what is relevant to cover to level up!
- I have taught Python for Finance and Automated Trading topics to over 75.000 people on YouTube and countless people privately.
- You will get a lot of Quizzes, Exercises to apply what I taught and I will give you relevant tips and practical advise. I challenge you to solve all of the provided exercises!
- There is no single time filler in this course. We are getting straight to the topics and I am being as brief as possible but also taking my time to be as specific as possible
- Outstanding support: If you don’t understand something, you feel you are stuck or you simply want to connect with me just write me a message and I am getting back to you as soon as possible!
What are you waiting for? Click ‘Enroll now’ to get started! I am excited and looking forward to see you inside the course
Who this course is for:
- Business and Finance students who look for an opportunity to attain a high in demand skillset
- People who are interested in applied Financial Analysis
- People who want to get a better understanding of there own portfolio
- People who are interested in Finance, Data Science and Analytics
- Hands-on oriented people
- People who want to build a highly valuable skillset
- People who want to understand the statistics and Algebra behind Portfolio Analysis
Requirements
- No programming experience required. We are starting from Zero.
- It helps to have a basic understanding of the stock market but it isn’t mandatory
Last Updated 6/2023
Download Links
Direct Download
Python for Finance and Data Science.zip (3.4 GB) | Mirror
You may also like : PYTHON HACKING | REAL ETHICAL HACKING WITH PYTHON | PYCEH23+
Read the full article
0 notes
Text
Hacking with Python PYCEH23 - GetFreeCourses
Hacking with Python - GetFreeCourses
Hacking with Python. Are you ready to unlock the full potential of Python and become a skilled ethical hacker? Look no further than “Python Ethical Hacking: Master the Art of Cybersecurity.” This immersive and comprehensive course is designed to equip you with the knowledge and hands-on skills necessary to excel in the exciting world of ethical hacking.
With a focus on practical applications, this course covers everything you need to know about Python programming, making it accessible to both beginners and experienced programmers. You’ll embark on an exciting journey where you’ll learn how to harness the power of Python to manipulate MAC addresses, develop network scanners, execute Man-in-the-Middle attacks, intercept network traffic, create your own pentesting RAT (Remote Access Trojan) malware, and much more.
The course begins by laying a solid foundation in Python fundamentals and Python Hacking Real Ethical Hacking with Python PYCEH23 - GetFreeCourses. Even if you’re new to programming, you’ll quickly grasp key concepts and techniques that are essential for ethical hacking. From there, you’ll dive into the world of network security and learn how to manipulate MAC addresses using the terminal, as well as develop your own Python program to change MAC addresses dynamically. This skill is invaluable for concealing your identity and enhancing your hacking capabilities.
Hacking with Python
Next, you’ll explore the intricacies of ARP (Address Resolution Protocol) and the ARP table. You’ll gain a deep understanding of how these protocols work and their vulnerabilities, and then apply your knowledge to create a network scanner from scratch. By the end of this section, you’ll be able to effectively discover vulnerable devices on a network, a critical skill for any ethical hacker.
One of the most powerful techniques in the ethical hacker’s arsenal is the Man-in-the-Middle (MiTM) attack. In this course, you’ll not only understand how these attacks work in reality, but also plan and execute your own MiTM program using Python. You’ll learn how to spoof routers and targets simultaneously, fixing any encountered problems along the way. This knowledge will allow you to intercept network traffic and exploit login credentials from devices on the same network, uncovering critical information and strengthening your cybersecurity defenses.
Hacking with Python
Taking your skills to the next level, you’ll delve into the creation of your own pentesting RAT malware. A Remote Access Trojan (RAT) provides unauthorized access to a target system, allowing you to explore and control it remotely. You’ll develop a powerful RAT malware from scratch, with both client and server components, and execute it on both Windows and Kali Linux platforms. By understanding the inner workings of such malware, you’ll be better equipped to defend against it.
Understanding sockets and their functions in Python is crucial for remote access and control. In this course, you’ll explore the intricacies of sockets and how they enable communication between client and server applications. You’ll develop a client-side application and establish remote access connections, allowing you to explore and control remote systems effectively.
Hacking with Python
Finally, you’ll examine the server-side implementation of remote access techniques. You’ll dissect each line of code, understanding its significance in establishing a secure and robust connection between the client and server. This knowledge will empower you to develop secure remote access solutions and protect against unauthorized access.
By the end of this comprehensive course, you’ll have a comprehensive skill set that will enable you to identify vulnerabilities, protect against malicious attacks, and secure networks and systems. Join us on this exciting journey of becoming a proficient Python ethical hacker and safeguarding against cyber threats.
Enroll now and embark on your transformation into a cybersecurity expert with Python Ethical Hacking: Master the Art of Cybersecurity! Gain the knowledge and skills to protect yourself and others from malicious hackers and become a highly sought-after cybersecurity professional.
Don’t miss this opportunity to learn from industry experts and gain hands-on experience in Python-based ethical hacking techniques. Enroll today and take the first step towards a successful career in cybersecurity!
Who this course is for:
- Beginner programmers who want to enter the field of ethical hacking and learn how to develop hacking tools using Python.
- Cybersecurity enthusiasts who want to expand their knowledge and skills in ethical hacking and penetration testing.
- IT professionals or system administrators who want to understand the hacking techniques and develop defensive strategies.
- Students or researchers in the field of cybersecurity who want to gain practical experience in developing hacking tools.
- Professionals involved in software development or network administration who want to enhance their understanding of security vulnerabilities and develop tools for testing and securing their systems.
Requirements
- No programming experience needed, You’ll learn everything here
Last Updated 7/2023
Download Links
Direct Download
Python Hacking | Real Ethical Hacking with Python | PYCEH23+.zip (2.8 GB) | Mirror
Torrent Download
Python Hacking | Real Ethical Hacking with Python | PYCEH23+.torrent (89 KB) | Mirror
Read the full article
1 note
·
View note