Don’t overwhelm to learn Python,🙄

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

– – – – – – – – – – – END – – – – – – – – – –

1. Official python tutorial

https://docs.python.org/3/

2.Real Python

realpython.com

3. YouTube

• Corey Schafer
• youtube.com/@coreyms
• Real Python
• youtube.com/@realpython

4. Google’s Python Class

developers.google.com/edu/python