Python Learning Roadmap

Python Learning Roadmap —

 a visual guide showing what topics to study and in what order to master Python programming. Here’s a clear breakdown of its key sections:

 

 1. Basics

Start here to build a strong foundation:

Basic Syntax

Variables

Data Types

Conditionals (if, else, etc.)

Loops

Exceptions

Functions

Lists, Tuples, Sets, Dictionaries

 

 2. Advanced Topics

Once comfortable with the basics, dive deeper into:

List Comprehensions

Generators

Expressions

Closures

Regular Expressions (Regex)

Decorators

Iterators

Lambdas

Functional Programming (map, reduce, filter)

Threading

Magic Methods

 

 3. Package Managers

Learn how to manage and install libraries:

pip (default Python package manager)

conda (used in Anaconda for scientific computing)

 

 4. DSA (Data Structures & Algorithms)

Understand core computer science principles:

Arrays & Linked Lists

Heaps, Stacks, Queues

Hash Tables

Binary Search Trees

Recursion

Sorting Algorithms

 

 5. Automation

Python shines in automating repetitive tasks:

File Manipulation

Web Scraping (BeautifulSoup, Selenium)

GUI Automation (PyAutoGUI)

Network Automation

 

 6. Testing

Learn how to test your code to ensure reliability:

Unit Testing

Integration Testing

End-to-End Testing

Load Testing

 

 7. Data Science

Explore Python’s data analysis & machine learning libraries:

NumPy

Pandas

Matplotlib

Seaborn

Scikit-learn

TensorFlow

PyTorch

 

8. Web Frameworks

 

For web development using Python:

Django (Full-stack framework)

Flask (Lightweight framework)

FastAPI (Modern async framework)

 

9. OOP (Object-Oriented Programming)

Master object-based programming principles:

Classes

Inheritance

Methods