Abstract¶
This notebook serves as a short reference to Python programming, numerical methods, data analysis, artificial intelligence related algorithms and visualization techniques. The content covers essential Python concepts, introduces interactive computing with Jupyter, and explores numerical approaches for solving mathematical problems. Additionally, it demonstrates how to analyze and visualize data using Python’s powerful libraries, enabling users to extract meaningful insights from both structured and unstructured datasets. The notebook emphasizes hands-on learning, providing directly executable code to facilitate understanding and application in real-world scenarios.
Introduction¶
Python is a versatile, high-level programming language known for its readability and wide range of applications, from web development to scientific computing. Jupyter is an interactive computing environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text.
Installation¶
Depending on the operating system, python can be installed right from your package manager, such as winget (Windows), brew (macOS), or apt (Ubuntu). I am using Arch Linux, where the following commands will install the required packages with pacman as my package manager,
sudo pacman -S python python-pip jupyter jupyter-bookFor other OS, look for python, pip, jupyter, and jupyter-book in your package manager or follow the instructions on their respective websites.
Target Audience¶
In my note I will not cover the basics in details. I will focus on codes for referencial purpose. Anyone with a good domain knowledge of any other programming language can easily understand the code snippets in this notebook, ing sha Allah!