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. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using Num Py, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at [email protected].
FEATURES:
Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using Num Py, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at [email protected].
FEATURES:
- Includes a concise introduction to Python 3
- Provides a thorough introduction to data and data cleaning
- Covers Num Py and Pandas
- Introduces statistical concepts and data visualization (Matplotlib/Seaborn)
- Features an appendix on regular expressions
- Includes companion files with source code and figures
€50.96
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شكل PDF ● صفحات 238 ● ISBN 9781683926535 ● الناشر Mercury Learning and Information ● نشرت 2021 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 8808976 ● حماية النسخ Adobe DRM
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المزيد من الكتب الإلكترونية من نفس المؤلف (المؤلفين) / محرر
16٬459 كتب إلكترونية في هذه الفئة
