Python for Data Science (No Starch Press)
Monday, 15 August 2022

This book provides  a hands-on introduction to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and activities. Yuli Vasiliev shows how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques and looks at Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn and matplotlib.

<ASIN:1718502206>

Examples show how to load data in various formats, how to streamline, group, and aggregate data sets, and how to create charts, maps, and other visualizations.

Author: Yuli Vasiliev
Publisher: No Starch
Date: August 2022
Pages: 240
ISBN: 978-1718502208
Print: 1718502206
Kindle: B09BKLV68X
Audience: Python developers interested in data analysis
Level: Intermediate
Category: Python

 

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Date: May 2021
Pages: 304
ISBN: 978-1718501447
Print: 1718501447
Kindle: B08TSYXJTS
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Rating: 5
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Date: March 2021
Pages: 416
ISBN: 978-1119712978
Print: 1119712971
Kindle: B08WZ2D7WC
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