Start learning right away, on any device.
checkmark bullet
More supportive. Get AI explanations and practice questions (select titles).
checkmark bullet
More interactive. Bring learning to life with audio, videos, and diagrams.
checkmark bullet
More memorable. Make concepts stick with highlights, search, notes, and flashcards.
checkmark bullet
More understandable. Translate text into 100+ languages with one tap.

Data science and machine learning – two of the world’s hottest fields – are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world’s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning.

Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once you’ve learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving.

Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more – all created with Colab (Jupyter compatible) notebooks, so you can execute all coding examples interactively without installing or configuring any software.