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Python Tools for Data Scientists Pocket Primer. A Quick Guide to Essential Python Libraries for Data Science Mercury Learning and Information, Oswald Campesato

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Python Tools for Data Scientists Pocket Primer. A Quick Guide to Essential Python Libraries for Data Science Mercury Learning and Information, Oswald Campesato - okladka książki

Python Tools for Data Scientists Pocket Primer. A Quick Guide to Essential Python Libraries for Data Science Mercury Learning and Information, Oswald Campesato - okladka książki

Python Tools for Data Scientists Pocket Primer. A Quick Guide to Essential Python Libraries for Data Science Mercury Learning and Information, Oswald Campesato - audiobook MP3

Python Tools for Data Scientists Pocket Primer. A Quick Guide to Essential Python Libraries for Data Science Mercury Learning and Information, Oswald Campesato - audiobook CD

Autorzy:
Mercury Learning and Information, Oswald Campesato
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
323
Dostępne formaty:
     PDF
     ePub
This book, part of the best-selling Pocket Primer series, offers a comprehensive introduction to essential Python tools for data scientists. It begins with an overview of Python basics, followed by in-depth coverage of NumPy and Pandas, focusing on their features and applications. The text also addresses the critical tasks of writing regular expressions and performing data cleaning.
Further sections delve into data visualization techniques and the use of Sklearn and SciPy, providing practical knowledge and skills for handling complex data analysis tasks. This structured approach ensures that readers gain a complete understanding of the tools and techniques necessary for effective data science.
Designed to be accessible yet thorough, this book includes numerous code samples to reinforce learning. Companion files with source code are available for download, making it an invaluable resource for anyone looking to master Python for data science and enhance their data analysis capabilities.

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O autorach książki

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

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