Python for Data Analysis: Step-By-Step with Projects - Setting Up Python environment

This video tutorial introduces a Python course for beginners and those looking to review Python basics. It covers setting up a Python environment using Anaconda, a popular data science platform, and introduces Jupyter Notebook and Jupyter Lab for interactive coding. The tutorial provides step-by-step instructions for installing Anaconda, running Jupyter Lab, and creating and managing notebooks. It also explains the use of markdown for text formatting and keyboard shortcuts for efficient notebook management.

What is the recommended distribution to start using Python for data science?

What are the two main interfaces mentioned for working with Jupyter?

Describe the process to install Anaconda on your computer.

What command do you type in the command line to run Jupyter Lab?

How can you create a new notebook in Jupyter Lab?

What keyboard shortcut is used to run a cell in Jupyter?

What is the purpose of markdown cells in Jupyter?