Before this lesson , we recommend you go through

• Getting started with Python
• Developer mindset

After this lesson, you'll be able to

• Understand Python libraries and their usage for Data Science
• Work with basic Python data types
• Work with Python Loops
• Perform List Operations
• Understand Set operations

• Why Python for Data Science
• Setup the Programming Environment - The Python Machine Learning Setup repositoryhas all the necessary instructions. You'll have to go through all the steps outlined there (choose the py27 environment, which is the default example used there).
• Python Libraries
• Hands On Code along with the Instructor on Python Basics

@gslides

Basic python jupyter notebook

• Find all the even number between 1 to 100
• Generate Fibonacci sequence up to 10

& many more inside commit.live.

• Learning Python for Data Science from Scratch
• Complete Codecademy's free "Learn Python" course to practice your Python syntax. Pay close attention to lists, dictionaries, and functions.