Introduction

Introduction

Welcome to Introduction to Python and Jupyter Notebooks!

In this lesson, you’ll set up your computer with a programming environment you can use to write Python applications in JupyterLab, the “computational notebook” environment you’ll use throughout this course. Once the environment is set up, you’ll get a quick course to acquaint you with JupyterLab and Python programming.

This lesson covers the following topics:

• Configure a Python development environment for AI programming.
• Demonstrate the use of Jupyter notebooks for interactive coding and documentation.
• Understand basic Python syntax, data types and control structures.

JupyterLab is a web-based user interface for working with computational notebooks, interactive documents that combine code, text, images, and visualizations. JupyterLab’s computational notebooks, often referred to as Jupyter notebooks, are the preferred development environment for data science and AI development, with 80% of data scientists and AI developers using them regularly.

Python is known for its simplicity, consistency, readability, and flexibility. These qualities, combined with its vast collection of libraries, especially for data science and machine learning, have made it popular with data scientists and AI developers.

This lesson will cover a lot of ground, so it’s time to start!