Python Learning Roadmap

Stage 1: Basic Concepts of Python (2–4 weeks)

Topics to Cover:

• Python Syntax & Basic Data Types
• Variables & Operators
• Conditionals: if, else, elif
• Loops: for, while
• Functions: Defining, calling functions, arguments, return values
• Lists, Tuples, and Dictionaries
• Input/Output

Estimated Time:

• Daily commitment: 1–2 hours
• Total time: 2–4 weeks

Stage 2: Intermediate Python (4–6 weeks)

Topics to Cover:

• File Handling
• Error and Exception Handling
• Modules and Packages
• Comprehensions
• OOP: Classes, Objects, Inheritance
• Decorators and Generators
• Lambda Functions

Estimated Time:

• Daily commitment: 1–2 hours
• Total time: 4–6 weeks

Stage 3: Advanced Python (4–8 weeks)

Topics to Cover:

• Data Structures: Lists, Dictionaries, Sets, Heaps, etc.
• Algorithms: Sorting, Searching, Recursion
• Concurrency: asyncio, threading, multiprocessing
• Context Managers
• Regular Expressions
• Testing: Unit tests, pytest
• Writing Pythonic Code

Estimated Time:

• Daily commitment: 1–2 hours
• Total time: 4–8 weeks

Stage 4: Specialization (8+ weeks)

Select your specialization based on your goals:

1. Web Development with Django/Flask

• Topics: HTTP, HTML/CSS, APIs, Databases, Deployment

2. Data Science & Machine Learning

• Topics: Pandas, NumPy, Scikit-learn, TensorFlow, Visualization

3. Automation & Scripting

• Topics: OS Module, Web Scraping, Automating Tasks