Python Learning Roadmap (Chapter-wise)

Chapter 1: Introduction to Python

  • Python kya hai, features kya hain, aur kaise install karein.
  • Python run karne ke tareeke: CLI, IDEs (VS Code, PyCharm, Jupyter).

Chapter 2: Variables and Data Types

  • Variables banana, input lena, print karna.
  • Data Types: int, float, string, bool, complex, type casting.

Chapter 3: Operators

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

Chapter 4: Control Flow

  • if, else, elif statements, nested conditions.

Chapter 5: Loops

  • for, while loops, break, continue, nested loops.

Chapter 6: Functions

  • Function define karna, arguments, return values, recursion.
  • Lambda functions.

Chapter 7: Data Structures

  • Lists, Tuples, Sets, Dictionaries - creation, access, modification.

Chapter 8: Strings in Python

  • String methods, slicing, formatting, manipulation.

Chapter 9: Object-Oriented Programming

  • Classes & Objects, __init__, instance/class variables.
  • Inheritance, Polymorphism, Encapsulation, Abstraction.
  • Operator Overloading, super(), Method Overriding.

Chapter 10: Modules and Packages

  • Python modules (math, random, os, etc.)
  • Custom module banana, import karna, packages banana.

Chapter 11: File Handling

  • open(), read, write, append modes.
  • Working with text, JSON, and CSV files.

Chapter 12: Exception Handling

  • try, except, else, finally blocks.
  • Custom exceptions banana.

Chapter 13: Python Libraries

  • NumPy, Pandas, Matplotlib overview.

Chapter 14: Web Development with Python

  • Flask: basic app, routing, templates.
  • Django: overview and comparison.

Chapter 15: Data Science with Python

  • Data cleaning & preprocessing.
  • Visualization (Seaborn, Matplotlib).
  • Basic machine learning with Scikit-learn.

Chapter 16: Automation & Scripting

  • Task automation: File handling, Email automation, Selenium basics.

Chapter 17: APIs and Web Scraping

  • Working with APIs (requests, json).
  • Web scraping with BeautifulSoup.

Chapter 18: Databases with Python

  • sqlite3, MySQL connection, CRUD operations.

Chapter 19: Environment Management

  • pip, requirements.txt, virtual environments.

Chapter 20: Real Projects & Career Path

  • Projects: Web apps, Chatbots, Data dashboards.
  • Open Source contributions, Hackathons, Cloud deployment, Blockchain basics.