Foundational Python for Data Science (Addison-Wesley Data & Analytics Series)

Behrman, Kennedy

ISBN 10: 0136624359 / ISBN 13: 9780136624356

Published by Prentice-Hall, 2021

About this Item

1st edition NO-PA16APR2015-KAP.

Seller Inventory # 26386845796

Bibliographic Details

• Title: Foundational Python for Data Science (Addison-Wesley Data & Analytics Series)
• Publisher: Prentice-Hall
• Publication Date: 2021
• Language: English
• ISBN 10: 0136624359
• ISBN 13: 9780136624356
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.

About the Author

Kennedy Behrman is a veteran software and data engineer. He first used Python writing asset management systems in the Visual Effects industry. He then moved into the startup world, using Python at startups using machine learning to characterize videos and predict the social media power of athletes.