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¶
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. Python is a popular language for AI development due to its simplicity and the availability of powerful libraries.
For starters we will start with basic algorithms...
Installation¶
Besides python, we may need to install,
numpy: for numerical operationsmatplotlib: for plotting and visualization