Module 2.1: Introduction to Python Programming (Part 1) | Programming for Data Science (2026)

Описание: MODULE 2: INTRODUCTION TO PYTHON FOR DATA SCIENCE
2.1 — Tooling and Jupyter Notebooks
Lecture Conducted on: March 2026

This session dives deep into the primary development environments used in data science, highlighting the differences between compiled and interpreted languages. The session provides a hands-on walkthrough of installing and utilising Jupyter Notebooks, Jupyter Lab, and Google Colab, demonstrating how to construct notebooks using Markdown and code cells.

00:00:15 Session Introduction and Makeup Scheduling 📅
00:03:51 High-Level vs. Low-Level Abstraction in Programming 🧠
00:08:12 Essential Tooling: Interpreters and Text Editors ⌨️
00:18:56 Introduction to Jupyter Notebooks and Jupyter Lab 📓
00:30:33 Installing and Launching Jupyter Locally 💻
00:41:00 Structuring Notebooks: Text, Code, and Markdown Cells 📝
01:05:03 Lists and Formatting in Markdown 📌
01:09:33 Executing Python Code and Shell Magics 🚀

➡️ Lecture 01 Part 1:    • Programming for Data Science (2025/26 CSC ...  
➡️ Lecture 01 Part 2:    • Programming for Data Science (2025/26 CSC ...  
📍 Lecture 02 Part 1: (You are here)

Course Resources:
👨‍🏫 Instructor: Dr. Lighton Phiri (https://datalab.unza.zm/people/lighto...)
💻 GitHub Repository: https://github.com/lightonphiri/misc-...
🎓 Moodle Portal: https://classroom.google.com/c/ODUwND...
📺 Full Playlist:    • Programming for Data Science (2025/26 CSC ...  

Copyright & Licensing:
© 2026 Lighton Phiri. Department of Computing and Informatics, The University of Zambia.
This work is licensed under a Creative Commons Attribution 4.0 International Licence.
View Licence Deed: https://creativecommons.org/licenses/...