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Python data science book

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Python Data Science Handbook: Tools and Techniques for Developers: Essential Tools for Working with Data

Python Data Science Handbook: Tools and Techniques for Developers: Essential Tools for Working with Data

(9781491912058 / 43425631) - Web programming - Sebastopol, United States - Dimensions: 238 x 182 x 28 mm - Format: 548 pages - ISBN: 9781491912058 - Number of pages: 548 - Languages: English - Publisher: O'Reilly Media, Inc, USA
Data Science from Scratch: First Principles with Python

Data Science from Scratch: First Principles with Python

Learn the fundamentals of data science with Python and gain the skills to apply them in real-world scenarios. Data Science from Scratch provides a comprehensive introduction to essential concepts and techniques.
Douglas Adams's Starship Titanic: From the Minds Behind The Hitchhiker's Guide to the Galaxy and Monty Python - Book, Science Fiction, Humor, Adventure, Author: Douglas Adams & Terry Jones, Publisher: Random House, Publication Date:

Douglas Adams's Starship Titanic: From the Minds Behind The Hitchhiker's Guide to the Galaxy and Monty Python - Book, Science Fiction, Humor, Adventure, Author: Douglas Adams & Terry Jones, Publisher: Random House, Publication Date:

A hilarious space adventure that blends Douglas Adams' wit with Terry Jones’ Monty Python flair, taking readers aboard the eccentric Starship Titanic for a wild, satirical journey through science‑fiction nonsense.
Python Data Science Handbook: Essential Tools for Working with Data by Jake Vanderplas, published by Ingram Book Co

Python Data Science Handbook: Essential Tools for Working with Data by Jake Vanderplas, published by Ingram Book Co

Unlock data science mastery with Jake Vanderplas’ Python Data Science Handbook—your essential guide to libraries, tools, and techniques for extracting insight from real‑world data.
Foundational Python for Data Science

Foundational Python for Data Science

A concise guide that builds core Python skills and introduces data‑science libraries, showing how to clean data, perform analysis, and create visualizations with practical examples.
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