Python Roadmap
The most versatile path in software — Python opens doors to web development, data science, automation, and machine learning.
Phase 1: Phase 1 — Python Fundamentals
Variables & Types
Strings, integers, floats, booleans, and Python's dynamic typing system.
Control Flow
if/else, for loops, while loops, and list comprehensions.
Functions
Define, call, and compose functions. Understand scope, arguments, and return values.
Data Structures
Lists, tuples, dictionaries, and sets — when to use each.
File I/O & Errors
Read and write files, handle exceptions gracefully.
Phase 2: Phase 2 — Intermediate Python
Object-Oriented Python
Classes, inheritance, dunder methods, and OOP principles.
Modules & Packages
Import from the standard library, install and use third-party packages with pip.
Decorators & Generators
Higher-order functions, generator expressions, and Python's advanced features.
Testing with Pytest
Write unit tests, use fixtures, and test-driven development basics.
Phase 3: Phase 3 — Choose Your Direction
Web Dev: Django/Flask
Build web applications and APIs with Python's popular web frameworks.
Data: pandas & NumPy
Load, clean, analyze, and visualize data with the data science stack.
Automation: scripts & bots
Automate tasks with Python scripts, web scraping, and API integrations.
Phase 4: Phase 4 — Professional Python
SQL & Databases
Query databases with Python using SQLAlchemy or psycopg2.
Git & Collaboration
Use Git professionally, write good commit messages, and work with PRs.
Portfolio Projects
Build 2–3 Python projects that solve real problems and deploy them.