A basic introduction to Python

Python
Jupyter Lab
Data analytics
Tutorial
Author

Harsha Chamara Hewage

Published

March 3, 2025

Who is the course for?

This course is primarily aimed at learners who require a practical introduction to Python. It assumes no previous experience using Python.

Learning Objectives

  • Familiarize yourself with Python and an Integrated Development Environment (IDE) such as Jupyter Lab or VS Code, which we’ll use to interact with Python.
  • Understand the basics of working with Python, including how to write and execute code.
  • Use three different ways to work with Python: Python Shell, Python Scripts, and Jupyter Lab.
  • Learn about Python’s basic data types and structures.
  • Install and import required libraries.
  • Find resources for help when coding in Python.

Prerequisites

Course Topics

Python and IDE Essentials

Section 1: Introduction to Python and IDEs

  • Introduction to Python
  • Installing Python
  • Setting up an Integrated Development Environment (IDE)
  • Overview of Jupyter Lab, VS Code, Google Colab, and Anaconda

Section 2: Working with Jupyter Lab

  • Understanding the basic syntax
  • Writing and executing code in Python
  • Setting up and organizing a Python project
Click on the following link to open the tutorial.
Introduction to Python
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