Python Coding Basics Tutorial

A comprehensive Python programming tutorial designed for beginners learning the fundamentals of coding.

Overview

This project contains interactive Jupyter notebooks that teach essential Python programming concepts through clear explanations, practical examples, and hands-on practice problems.

Topics Covered

Part 1: Foundation Concepts

• Variable Types: Understanding integers, floats, strings, and booleans
• Library Import: How to import and use Python libraries effectively
• NumPy Basics: Introduction to numerical computing with NumPy
• Data Structures:
  • Setting up matrices for linear algebra operations
  • Working with arrays for data storage
  • Using dictionaries for key-value mappings
  • Understanding hash tables and maps

Coming Soon

• File I/O operations
• Control flow (for loops, if-else statements)
• Data visualization and plotting
• Statistical analysis and significance testing
• Functions and classes
• Documentation best practices

Getting Started

1. Open the notebook python_basics_tutorial.ipynb
2. Follow along with the explanations and examples
3. Complete the practice problems in each section
4. Run the code cells to see the results

Requirements

• Python 3.x
• Jupyter Notebook or JupyterLab
• NumPy library

Installation

pip install numpy jupyter math datetime scipy collections matplotlib seaborn pandas warnings

Usage

Launch Jupyter Notebook and open the tutorial:

jupyter notebook python_basics_tutorial.ipynb

Learning Approach

Each topic follows this structure:

1. Brief Explanation: 2-3 sentences explaining the concept
2. Practical Example: Working code demonstrating the concept
3. Practice Problem: Hands-on exercise with guided completion

This approach ensures you understand both the theory and practical application of each concept.

Contributing

This is an educational project. Feel free to suggest improvements or additional topics that would benefit beginner programmers.