Here are the key steps to kickstart your Python journey🚀🚀:

  • Below the ending, there are links on where you can get started👍 Python is only this much👇😊

0.Intro • Overview • History • Installation

1.Basic Syntax • Print Statement • Variables • Data Types • Operators

2. Data Types • Numeric • String • Boolean • None • Sequence • Set • Dictionary

4.Operators • Arithmetic • Comparison • Assignment • Logical • Bitwise • Membership • Identity

2.Control Structures • if • elif • else • for • while • Break • Continue

3. Data Structures • Lists and • List Comprehensions • Tuples • Dictionaries • Sets

4.Functions • Function Definition • Parameters • Return Statement • Lambda Functions

5.Object-Oriented Programming • Classes and • Objects • Inheritance • Polymorphism • Encapsulation • Abstraction

6.Exception Handling • Try • Except Blocks • Raise Statement

7.File Handling • Opening • Reading • Writing Files • Closing Files

8.Modules and Packages • Importing Modules • Creating Packages

9.Advanced Concepts • List Comprehensions • Decorators • Generators

10.Standard Libraries • os • sys • datetime • math • random • urllib • json

11. Data Manipulation • String Manipulation • Regular Expressions

12.Database Interaction • Using SQLite • or other databases

13.Testing • unittest Framework

14.Virtual Environments • Creating and Managing Virtual Environments

15.Web Development (Optional) • Flask or • Django Framework

16. Data Science and Visualization (Optional) • Pandas • NumPy • Matplotlib

17.Version Control • Git Basics

18.Documentation • Writing Comments • Docstrings

19.Concurrency and Parallelism • Threading • Multiprocessing Basics

20.Web Scraping (Optional) • BeautifulSoup • Requests

21.RESTful APIs (Optional) • Using requests library to interact with APIs

22.Asynchronous Programming (Optional) • Asyncio Basics

23.GUI Development (Optional) • tkinter • PyQt

24.Machine Learning and AI (Optional) • scikit-learn • TensorFlow • PyTorch Basics

25. Best Practices • PEP 8 Guidelines • Code Readability • Clean Code Principles

26.Continuous Learning • Exploring New Python Features • Libraries

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1. Official python tutorial docs.python.org/3/tutorial/ind… 2.Real Python realpython.com

3. YouTube - Corey Schafer youtube.com/@coreyms?si=ST…

- Real Python youtube.com/@realpython?si…

4. Google's Python Class developers.google.com/edu/python