Python 3 and Data Analytics Pocket Primer

✍ Scribed by Oswald Campesato

Publisher: Mercury Learning and Information
Year: 2021
Tongue: English
Leaves: 258
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. Itis intended to be a fast-paced introduction to some basic features of dataanalytics and also covers statistics, data visualization, and data cleaning. Thebook includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regularexpressions. Companion files with source code and color figures are available.

FEATURES:

Includes a concise introduction to Python 3
Provides a thorough introduction to data and data cleaning
Covers NumPy and Pandas
Introduces statistical concepts and data visualization (Matplotlib/Seaborn)
Features an appendix on regular expressions
Includes companion files with source code and figures

✦ Table of Contents

Python 3 and Data Analytics Pocket Primer_Ch00_FM_4pp.pdf
Python 3 and Data Analytics Pocket Primer_Ch01_4pp.pdf
Python 3 and Data Analytics Pocket Primer_Ch02_4pp.pdf
Python 3 and Data Analytics Pocket Primer_Ch03_4pp.pdf
Python 3 and Data Analytics Pocket Primer_Ch04_4pp.pdf
Python 3 and Data Analytics Pocket Primer_Ch05_4pp.pdf
Python 3 and Data Analytics Pocket Primer_Ch06_4pp.pdf
Python 3 and Data Analytics Pocket Primer_Ch07_App_4pp.pdf
Python 3 and Data Analytics Pocket Primer_Ch08_Index_1pp.pdf

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