Python Mastery Roadmap

A step-by-step path that takes an absolute beginner from installing Python all the way to advanced topics such as data science, web development, concurrency, testing, and deployment.

Duration

24 weeks

Level

Beginner to Advanced

Learners

25K+

Career Opportunity

Python Developer, Backend Engineer, Data Engineer, Machine Learning Engineer, DevOps Engineer

Prerequisites

Basic computer literacy

Familiarity with command-line interface

Willingness to practice coding daily

Overall Progress

0 of 33 Completed

Learning Path

1. Getting Started & Installation

0/3 completed0%

Resources:

Why Learn Python?

Installing Python (Windows, macOS, Linux)

Setting Up a Code Editor (VS Code)

2. Python Fundamentals

0/3 completed0%

Resources:

The Python Tutorial

First Python Program & REPL Usage

PEP 8 Style Guide

3. Data Types & Variables

0/2 completed0%

Resources:

Numbers, Strings, Booleans

Lists, Tuples, Sets, Dictionaries

4. Control Flow

0/2 completed0%

Resources:

Conditionals & Loops

Comprehensions

5. Functions & Modules

0/2 completed0%

Resources:

Defining Functions & *args/**kwargs

Modules & Packages

6. Virtual Environments & Dependency Management

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Resources:

venv & virtualenv Basics

pip & requirements.txt

Poetry & pipenv (optional)

7. Object-Oriented Programming

0/2 completed0%

Resources:

Classes & Objects

Inheritance & Polymorphism

8. File I/O & Error Handling

0/2 completed0%

Resources:

Reading/Writing Files

Exceptions & Context Managers

9. Testing & Debugging

0/2 completed0%

Resources:

unittest & pytest

Debugging with pdb & VS Code

10. Data Science Foundations

0/3 completed0%

Resources:

NumPy Basics

Pandas for Data Analysis

Matplotlib & Seaborn Visualization

11. Web Development

0/2 completed0%

Resources:

Flask Fundamentals

Django Framework

12. Concurrency & Parallelism

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Resources:

asyncio & await

Threading & Multiprocessing

13. Packaging & Distribution

0/2 completed0%

Resources:

setup.py & PyPI Publishing

Building Wheels

14. Deployment & DevOps

0/3 completed0%

Resources:

Dockerizing Python Apps

CI/CD with GitHub Actions

Deploying to Heroku / Render

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