skill-based roadmap · Languages
Python Roadmap
A structured path from Python fundamentals to production-ready skills, covering core syntax, OOP, data handling, APIs, testing, and real-world project patterns employers expect.
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1. Stage 1: Python Foundations
Environment Setup & Python Basics
Solid setup prevents wasted debugging time early on.
Variables, Data Types & Operators
Every program manipulates data; types are foundational.
Control Flow: if/else, loops
Logic and iteration drive all program behaviour.
Functions & Scope
Functions are the primary unit of reusable code.
2. Stage 2: Core Data Structures & Modules
Lists, Tuples & Dictionaries
These containers underpin virtually every Python program.
Sets & Comprehensions
Efficient data transformation with clean, Pythonic syntax.
Modules, Packages & pip
Reusing code and installing libraries is daily dev work.
File I/O & Exception Handling
Reading files and handling errors makes programs robust.
3. Stage 3: Object-Oriented Programming
Classes, Objects & Methods
OOP is essential for structuring larger codebases.
Inheritance & Polymorphism
Code reuse and flexible design depend on inheritance.
Dunder Methods & Pythonic Patterns
Idiomatic Python code is more readable and maintainable.
Virtual Environments & Project Structure
Isolated environments prevent dependency conflicts in projects.
4. Stage 4: Working with Data & APIs
Working with JSON & CSV
Most real-world data arrives in these two formats.
HTTP Requests & REST APIs
Consuming APIs is a core backend and scripting skill.
Databases with SQLite & SQLAlchemy
Persisting data to a database is required in most apps.
pandas for Data Manipulation
pandas is the standard tool for tabular data in Python.
5. Stage 5: Testing & Code Quality
Unit Testing with pytest
Tested code is trustworthy and easier to maintain.
Debugging & Logging
Finding and recording errors is a daily production skill.
Type Hints & Static Analysis
Type hints catch bugs early and improve team readability.
Code Style: PEP 8 & linting with ruff
Consistent style is required on every professional team.
6. Stage 6: Web & API Development
FastAPI Fundamentals
FastAPI is the modern standard for Python REST APIs.
Authentication & Security Basics
Every production API must handle auth and protect data.
Async Python & asyncio
Async unlocks high-performance I/O-bound applications.
Containerising Python Apps with Docker
Docker ensures apps run identically across all environments.
7. Stage 7: Job-Ready Projects & Best Practices
Git & GitHub Workflow
Version control and collaboration are non-negotiable skills.
CI/CD with GitHub Actions
Automated pipelines are expected in every modern team.
Portfolio Project: End-to-End Python App
Employers hire based on shipped, demonstrable projects.
Python Interview Prep
Passing technical interviews requires deliberate practice.