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Python Programming for Scientific Computing and Data Science

Lectures

Welcome to PyPro-SCiDaS
Lecture 0 — The Shell
Lecture 1 — Introduction to Python
Lecture 2 — Variables, Types, and Assignment
Lecture 3 — Strings and Files
Lecture 4 — Version Control with Git
Lecture 5 — Iterable Objects and Containers
Lecture 6 — Flow Control and Loops
Lecture 7 — Functions, Modules, and Packages
Lecture 8 — Recursion and Lambda
Lecture 9 — Errors and Debugging
Lecture 10 — NumPy, Part 1
Lecture 11 — NumPy, Part 2
Lecture 12 — Matplotlib
Lecture 13 — Object-Oriented Programming
Lecture 14 — List Comprehensions and Generators
Lecture 15 — Pandas for Data Analysis
Lecture 16 — Decorators and Context Managers
Lecture 17 — Data Formats and APIs

Light practicals

Practical_1: Variables and Assignments
Practical_2: String and files
Practical_3: Iterable objects or Containers
Practical_4: Flow control
Practical_5: Functions, Modules and Packages
Practical_6: Numpy
Practical_7: Matplotlib

Challenges

PyPro: Challenge 1
PyPro: Challenge 2
PyPro: Challenge 3

Labs and individual projects

Lab 0 — Taking Control of a Jupyter Notebook
Practical 1 — Version Control with Git (Local)
Practical 2 — Version Control with Git (Remote)
Individual Presentation Topics

Going deeper

Advanced Python Proficiency Projects with Real-Life Problems

Local development setup

Prerequisites
Integrating Git with Visual Studio Code
Integrating Git with GitHub Codespaces
Integrating Git with GitHub Copilot

Repository
Open issue

Index

By Yaé U. Gaba

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