🐍Python

FastAPIDjangoData ScienceAsync

Learn Python from fundamentals to professional development. Build APIs with FastAPI and Django, analyze data with pandas and NumPy, and master async programming.

Free Tutorial

Learn Python - From Fundamentals to Professional Development

Master Python from the ground up. Start with core fundamentals and progress through web frameworks (FastAPI, Django, Flask), data science (pandas, NumPy), async programming, testing with pytest, and professional best practices. Build real-world projects and become a confident Python developer.

Prerequisites

No prior programming experience is required for the beginner topics. For the web framework and data science sections, basic Python knowledge (covered in the first 10 lessons) is recommended.

Git Tutorial Docker Tutorial

What You'll Learn

✓ Python fundamentals and syntax
✓ Data types, control flow, and functions
✓ Object-oriented programming
✓ Decorators, generators, and comprehensions
✓ FastAPI for modern REST APIs
✓ Django for full-stack web apps
✓ pandas and NumPy for data science
✓ Async programming with asyncio
✓ Testing with pytest
✓ Professional best practices and tooling

Course Topics

Learn the basics of Python programming including syntax, execution model, and core concepts

Variables and Data Types

Master Python's built-in data types, variable assignment, type conversion, and memory model

Master if/elif/else, for and while loops, match statements, and control flow best practices

Functions and Modules

Learn to write reusable functions, work with arguments, and organize code into modules and packages

Lists, Tuples, Sets, and Dicts

Deep dive into Python's core collection types, their methods, and when to use each one

Master Python string methods, formatting, regular expressions, and text processing techniques

Learn to read, write, and manage files in Python including text, CSV, JSON, and binary files

Object-Oriented Python

Master classes, inheritance, polymorphism, special methods, and OOP design patterns in Python

Learn exception handling, custom exceptions, context managers, and defensive programming in Python

Decorators and Generators

Master Python decorators for metaprogramming and generators for memory-efficient iteration

Master list, dict, set, and nested comprehensions for concise and expressive Python code

Virtual Environments and pip

Learn to manage Python dependencies with virtual environments, pip, and modern packaging tools

Learn to use type annotations for better code quality, IDE support, and static analysis with mypy

Build modern, high-performance APIs with FastAPI, automatic documentation, and async support

Build a complete CRUD REST API with FastAPI, SQLAlchemy, and proper error handling

Learn Django, the batteries-included web framework for building full-stack web applications in Python

Learn Flask, the lightweight micro-framework for building web applications and APIs in Python

Python Testing with pytest

Master testing in Python with pytest, fixtures, mocking, and test-driven development practices

Master asyncio, async/await, concurrent programming, and building high-performance async applications

Python for Data Science

Explore Python's data science ecosystem including Jupyter, visualization, and data analysis workflows

Learn pandas for data manipulation including DataFrames, filtering, grouping, and data cleaning

Learn NumPy for fast numerical computing, array operations, and mathematical functions

Learn to extract data from websites using BeautifulSoup, requests, and ethical scraping practices

Learn to work with SQL and NoSQL databases using SQLAlchemy, sqlite3, and database best practices

Python Best Practices

Learn Python coding standards, project structure, linting, formatting, and professional development practices

→

Frequently Asked Questions

Is Python good for web development?

Yes, Python is excellent for web development with powerful frameworks like Django for full-stack applications, FastAPI for high-performance APIs, and Flask for lightweight microservices. Python's clean syntax, vast ecosystem of libraries, and strong community support make it one of the most popular choices for backend web development, powering companies like Instagram, Spotify, and Netflix.

How long does it take to learn Python?

Learning Python basics (variables, control flow, functions, and data structures) typically takes 2-4 weeks of consistent practice. Becoming proficient enough for professional development with frameworks like FastAPI or Django usually takes 3-6 months. Mastering advanced topics like async programming, design patterns, and specialized domains like data science takes 6-12 months of dedicated study and project work.

What is Python used for?

Python is used across many domains including web development (Django, FastAPI, Flask), data science and analytics (pandas, NumPy, matplotlib), machine learning and AI (TensorFlow, PyTorch, scikit-learn), automation and scripting, DevOps and infrastructure management, and scientific computing. Its versatility and readability make it one of the most widely-used programming languages in the world.

Should I learn Python or JavaScript first?

If you want to build web applications and work across the full stack (frontend and backend), JavaScript is a great first choice since it runs in browsers and on servers with Node.js. If you are more interested in data science, machine learning, automation, or backend development, Python is the better starting point. Both languages are beginner-friendly, and learning one makes it easier to pick up the other.

Ready to Learn Python?

Begin your Python journey with the fundamentals. You'll learn what Python is, how it works, and write your first programs.

Start Learning Python →