Python Tutorial for Beginners

Table of Contents

• Introduction
• Environment Setup
• Installation Instructions
• Resources
• License
• Conclusion
• About Author

Introduction

Python is a popular high-level programming language that is used for a wide range of applications, including web development, data analysis, artificial intelligence, machine learning, scientific computing, and more. It was created in the late 1980s by Guido van Rossum, and has since become one of the most widely used programming languages in the world.

This tutorial is an introduction to Python and the numpy library for those who are already familiar with programming in another language.

In this tutorial, we will cover:

• Basic Python: Basic data types, Containers (Lists, Dictionaries,, Tuples), Control Flow Statements, Errors and Exceptions, Functions, Classes
• numpy: Arrays, Array indexing, Datatypes, Array math, Broadcasting
• matplotlib: Basic Visualization, Subplots, Image Visualization

Attribution:

• Parts of this notebook are adapted from a tutorial from CS231N at Stanford University , which is shared under the MIT license.
• Parts of this notebook are adapted from Jake VanderPlas’s Whirlwind Tour of Python, which is shared under the Creative Commons CC0 Public Domain Dedication license.
• The visualizations in this notebook are from A Visual Intro to NumPy by Jay Alammar, which is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Credit of this work: (https://scholar.google.com/citations?user=41k4_N8AAAAJ)

Environment Setup

Prerequisites: Ensure Python 3.6 or newer is installed on your system.

1. Create a Virtual Environment:

   • Install virtualenv if you prefer it over the built-in venv (optional):

     pip install virtualenv

   • Create the environment:
     • With venv (Python 3.3+):

       python -m venv env

     • Or, with virtualenv:

       virtualenv env

   • Activate the environment:
     • Windows: env\Scripts\activate
     • Unix/MacOS: source env/bin/activate
   • To deactivate: deactivate

2. Dependencies: Ensure all dependencies are listed in requirements.txt. Install them using:

   pip install -r requirements.txt

Installation Instructions

To use this project, clone the repository and set up the environment as follows:

1. Clone the Repository:

   https://github.com/Imran-ml/Python-Tutorial-for-Beginners.git

2. Setup the Environment:
   • Navigate to the project directory and activate the virtual environment.
   • Install the dependencies from requirements.txt.

Resources

• Kaggle Notebook: View Notebook

License

This project is made available under the MIT License.

Conclusion

I hope this tutorial has served as a comprehensive introduction to Python and the numpy library, providing you with a solid foundation in these essential tools for programming across a variety of applications. From basic Python constructs and data types to advanced array operations and data visualization with matplotlib, this guide aims to equip you with the knowledge and skills to tackle your next project with confidence. Whether you're venturing into web development, data science, AI, or any other field where Python shines, the concepts and techniques covered here will be invaluable. I encourage you to experiment with the examples, explore further, and continue your learning journey in Python programming. Happy coding!

About Author

• Name: Muhammad Imran Zaman
• Email: imranzaman.ml@gmail.com
• Professional Links:
  • Kaggle: Profile
  • LinkedIn: Profile
  • Google Scholar: Profile
  • YouTube: Channel
• Project Repository: GitHub Repo