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Description
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 NumPy, 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 info@merclearning.com.
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
Information
-
Download - Immediately Available
- Format:PDF
- Pages:238 pages
- Publisher:Mercury Learning & Information
- Publication Date:02/04/2021
- Category:
- ISBN:9781683926535
Other Formats
- Paperback / softback from £33.95
Information
-
Download - Immediately Available
- Format:PDF
- Pages:238 pages
- Publisher:Mercury Learning & Information
- Publication Date:02/04/2021
- Category:
- ISBN:9781683926535
