Courses cover beginner-level topics such as data visualization with Python as well as advanced Python and machine learning concepts. Each course varies in length, from less than one hour to 23 hours.

The course is divided into 11 sections, including 112 lectures covering Python fundamentals, strings, functions, flow control, loops, lists, dictionaries, tuples and sets.

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

Aside from covering the basics—Python syntax, data, and container types, flow control, functions/modules—it also provides detail on classes and object-oriented programming, writing self ...

If you are adept at Python and remember your high school algebra, you might enjoy [Oliver Holloway’s] tutorial on getting started with Tensorflow in Python. [Oliver] gives links on how to do the ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

One of Python’s strengths is its ability to invoke code written in more modern programming languages. Most of the big data science libraries written in Python are just lightweight wrappers that call ...