💻 Coding Exercises

Interactive Python practice exercises organized by difficulty level

🎠 Main Page 🧠 Principles 📚 Lecture Notes 📝 Assignments

Welcome to the Coding Exercises section! Here you'll find interactive Jupyter notebooks organized by difficulty level. All notebooks can be opened directly in Google Colab - no installation required!

🎯 Choose Your Level

🟢 Level 0 - Beginner

Perfect for absolute beginners - Start here if you're new to programming

Py01: Python Basics

Variables, data types, and basic operations

🚀 Open in Colab 📖 Theory 🎥 Video

Py02: Working with Arrays

Lists and basic array operations

🚀 Open in Colab 📖 Theory 🎥 Video

Py03: Introduction to Pandas

DataFrames and basic data manipulation

🚀 Open in Colab 📖 Theory 🎥 Video

Py04: Basic Plotting

Creating simple visualizations

🚀 Open in Colab 📖 Theory 🎥 Video

PyE: Data Science Introduction

First steps in data science

🚀 Open in Colab 📖 Theory 🎥 Video

🟡 Level 1 - Easy

For those with basic Python understanding

Py01: Python Fundamentals

Functions, loops, and conditionals

🚀 Open in Colab 📖 Theory

Py02: Array Operations

List comprehensions and array manipulation

🚀 Open in Colab 📖 Theory

Py03: Data with Pandas

Data filtering and aggregation

🚀 Open in Colab 📖 Theory

Py04: Data Visualization

Matplotlib and Seaborn basics

🚀 Open in Colab 📖 Theory

🟠 Level 2 - Medium

Intermediate challenges to strengthen your skills

Py01: Advanced Python

Classes, decorators, and advanced functions

🚀 Open in Colab

Py02: Complex Arrays

Multi-dimensional arrays and NumPy

🚀 Open in Colab

Py03: Advanced Pandas

Merging, pivoting, and time series

🚀 Open in Colab

Py04: Advanced Plotting

Interactive and statistical plots

🚀 Open in Colab

🔴 Level 3 - Hard

Advanced problems for experienced programmers

Py01: Expert Python

Meta-programming and optimization

🚀 Open in Colab

Py02: Expert Arrays

Performance optimization with arrays

🚀 Open in Colab

Py03: Expert Pandas

Complex data transformations

🚀 Open in Colab

Py04: Expert Plotting

Custom visualizations and animations

🚀 Open in Colab

💡 Learning Tips

  1. Start at your level - Don't skip ahead too quickly
  2. Read the theory first - Check the linked lecture notes
  3. Watch the videos - Visual learning reinforces concepts
  4. Complete all TODOs - Each exercise has specific tasks
  5. Experiment - Try modifying the code to see what happens
📝 Try Assignments 📚 Review Theory
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Happy Coding! 🐍✨