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Back ✅ Outline: Series in Python 25 Jun, 2025

🧠 1. Introduction to Python

  • What is Python?

  • History and Features

  • Installing Python (Windows/Mac/Linux)

  • Setting up IDE (VSCode, PyCharm, Jupyter, etc.)

  • Running Python scripts: IDE vs Command Line vs Notebook


🔤 2. Python Syntax and Basics

  • Python Syntax & Indentation

  • Comments and Docstrings

  • Variables and Constants

  • Keywords and Identifiers

  • Input/Output (input(), print())


🧮 3. Data Types and Type Conversion

  • Numbers, Strings, Booleans

  • Lists, Tuples, Sets, Dictionaries

  • Type Checking (type()) and Conversion (int(), str())


4. Operators

  • Arithmetic, Assignment, Comparison

  • Logical, Bitwise, Identity, Membership

  • Operator Precedence


🔁 5. Control Flow Statements

  • Conditional Statements: if, elif, else

  • Loops:

    • for loop

    • while loop

    • break, continue, pass

  • Nested Loops and Conditions


🎒 6. Functions

  • Defining and Calling Functions

  • Arguments and Return Values

  • Default and Keyword Arguments

  • *args and **kwargs

  • Lambda Functions

  • Recursion


🧰 7. Built-in Functions and Modules

  • Common Built-in Functions (len(), range(), enumerate(), zip(), etc.)

  • Importing Modules (import, from, as)

  • Math, Random, Datetime, OS, etc.


🗃️ 8. Data Structures in Detail

  • List Operations & Methods

  • Tuple Immutability & Use Cases

  • Set Properties & Methods

  • Dictionary Key-Value Pairs


🧱 9. Object-Oriented Programming (OOP)

  • Classes and Objects

  • __init__() Method

  • self Keyword

  • Inheritance

  • Encapsulation & Polymorphism

  • Special (Magic) Methods like __str__, __len__


🔎 10. Exception Handling

  • Try-Except Block

  • else, finally

  • Handling Multiple Exceptions

  • Raising Exceptions

  • Custom Exceptions


🗂️ 11. File Handling

  • Reading and Writing Files

  • File Modes (r, w, a, b)

  • Working with with statement

  • CSV, JSON basics


📦 12. Working with Libraries

  • pip and Package Installation

  • Introduction to NumPy, Pandas, Matplotlib

  • Creating Virtual Environments


🧪 13. Testing and Debugging

  • Using assert

  • Basic Unit Testing with unittest

  • Debugging Tools in IDE


🧩 14. Advanced Topics (Optional / Later Phase)

  • List Comprehensions & Generator Expressions

  • Decorators

  • Iterators and Generators

  • Context Managers

  • Modules & Packages

  • Working with APIs (e.g., requests)


🧠 15. Project Ideas for Practice

  • To-do list CLI app

  • Simple calculator

  • Contact book with file storage

  • Weather app using API

  • Mini-Quiz Game

  • Data analysis on CSV using Pandas


📘 16. Resources & Practice

  • Books and Documentation

  • Online Platforms (HackerRank, LeetCode, W3Schools, Real Python)

  • GitHub Projects to Follow