Python for Data Science Book Reviews

AUTHOR
Yuli Vasiliev
SCORE
0
TOTAL RATINGS
82

Python for Data Science by Yuli Vasiliev Book Summary

A hands-on, real-world introduction to data analysis with the Python programming language, loaded with wide-ranging examples.

Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.

You will discover 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, matplotlib, and more. 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. Later chapters go in-depth with demonstrations of real-world data applications, including using location data to power a taxi service, market basket analysis to identify items commonly purchased together, and machine learning to predict stock prices.

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Book Name Python for Data Science
Genre Programming
Published
Language English
E-Book Size 1.42 MB

Python for Data Science (Yuli Vasiliev) Book Reviews 2024

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Summary of Python for Data Science by Yuli Vasiliev

The Python for Data Science book written by Yuli Vasiliev was published on 02 August 2022, Tuesday in the Programming category. A total of 82 readers of the book gave the book 0 points out of 5.

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