Introduction to Python Programming

Introductory-to-Python notebooks for the purposes of the course "Numerical Analysis" (by Prof. Nikolaos Stergioulas).

A first version lives in v1.0@2021 (based on "Introduction to Scientific Computing in Python" by Robert Johansson).

1. Introduction to Python : The Basics

• General Informations about Python language
• Variables and types
• Operators
• Compound types: Strings, List and dictionaries
• Control Flow
• Loops
• Functions
• Modules

2. Introduction to Python : NumPy

• About NumPy
• Creating NumPy arrays
• Numpy's native file format
• Manipulating arrays
• Functions for extracting data from arrays
• Linear algebra
• Data processing
• Reshaping, resizing and stacking arrays
• Iterating over array elements
• Using arrays in conditions

3. Introduction to Python : Matplotlib

• About Matplotlib
• Basic (2D)
• Subplots
• What Is The Difference Between add_axes() and add_subplot()
• Legend and labels
• LaTeX formating
• Fontsize and font family
• Advance Customization
• Custom tick labels and axes
• Multiple plots and control over axis appearance
• Axis grid

4. Introduction to Python : Problems

• A Brief Review
• Machine Precision
• Random Distribution
• Using one function as an input to another
• Examples
• Using Python to solve problems in Numerical Analysis

5. Introduction to Python : Classes

• Python : An object oriented programming language
• How to define a class?
• Subclasses