Watch Full 2020 Complete Python | Bootcamp From Zero To Hero In Python New _verified_
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👇 Watch the full course here: [INSERT LINK HERE] Deliverables: working codebase
The 2020 Complete Python Bootcamp: From Zero to Hero in Python is an excellent resource for anyone looking to learn Python programming. With its comprehensive coverage, engaging content, and supportive community, this course is ideal for complete beginners, Python enthusiasts, and career changers. While there may be a steep learning curve, the benefits of completing this course far outweigh the costs. README with setup instructions
: Teaches practical tasks like web scraping, handling PDF and Excel files, and sending automated emails. Community Support
High Demand: Python developers command some of the highest salaries in the tech industry. Course Structure: What to Expect
| Section | Topic | Key Learning Outcomes |
| :--- | :--- | :--- |
| 1-3 | Setup & Basics | Installing Python, using Jupyter Notebooks, and understanding data types (int, float, str, bool). |
| 4-6 | Python Data Structures | Lists, Tuples, Dictionaries, and Sets – creation, indexing, slicing, and methods. |
| 7-8 | Comparison & Loops | if-elif-else, for loops, while loops, break, continue, and pass. |
| 9 | List Comprehensions | Efficient, one-line list creation. |
| 10-11 | Functions & Scope | Defining functions, *args, **kwargs, lambda, map, filter, and variable scope. |
| 12 | Advanced Methods | os module, shutil, working with text files, and error handling (try-except). |
| 13-14 | OOP (Object-Oriented Programming) | Classes, instances, methods, inheritance, polymorphism, and special methods (__str__, __repr__). |
| 15 | Modules & Packages | Creating and importing your own modules, working with pip and standard library modules. |
| 16-17 | Errors & Testing | Debugging, pdb, unit testing with unittest. |
| 18 | Decorators & Generators | Advanced function patterns for efficient code. |
| 19-21 | Final Projects | Milestone Project 1 (Tic-Tac-Toe), Milestone Project 2 (War Card Game), and a capstone project involving data analysis. |
| 22 | Bonus Section | Introduction to GUI programming with Tkinter, web scraping with BeautifulSoup, and data science with NumPy/Pandas (brief). |