TEXTBOOK

Markup Lessons

1 – Notebooks and Colab

2 – Markdown

3 – LaTeX

4 – Exercises

Python Lessons

1 – Operators and types

2 – Variables and Assignment

3 – Functions

4 – Booleans and Conditionals

5 – Bounded Loops

6 – Unbounded Loops

7 – Exercises

8 – Problems

Data Science Lessons

1 – Introduction to Data Visualization

Methodology

1 – Word problem solving

2 – Tracing a code

1️⃣ Notebooks and Colab

Notebooks

Notebooks are the tool professional data scientists use to present thought process, code, and results in one place.

They are organized into cells, which can contain either code (to be executed) or text (for explanations, formulas, and visuals), allowing clear, step-by-step documentation and experimentation.

Note:

A code cell is a section of a notebook where you can write and run Python code. When executed with ▶️, it displays the output just below the cell, such as calculations, tables, or graphs,…

💻 EXAMPLE:

Notebooks are specific files with extension .ipynb. Colab, Kaggle are examples of platforms used to create, run and share notebooks.

Colab Platform

Google Colab is an online notebook environment that lets you write and run notebook code directly in your browser — without installing anything.

Getting Started

  • Login to Colab using your Google Account
  • Follow the tutorial video to create a notebook and turn it into classroom