Python 3 and Data Analytics Pocket Primer / / Oswald Campesato.

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 cle...

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Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2021]
©2021
Năm xuất bản:2021
Ngôn ngữ:English
Loạt:Pocket Primer
Truy cập trực tuyến:
Mô tả vật lý:1 online resource (238 p.)
Các nhãn: Thêm thẻ
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Miêu tả
Other title:Frontmatter --
Contents --
Preface --
Chapter 1. Introduction to Python --
Chapter 2. Working with Data --
Chapter 3. Introduction to NumPy --
Chapter 4. Introduction to Pandas --
Chapter 5. Introduction to Probability and Statistics --
Chapter 6. Data Visualization --
Appendix: Regular Expressions --
Index
Tóm tắt: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 3Provides a thorough introduction to data and data cleaningCovers NumPy and PandasIntroduces statistical concepts and data visualization (Matplotlib/Seaborn)Features an appendix on regular expressionsIncludes companion files with source code and figures
Định dạng:Mode of access: Internet via World Wide Web.
số ISBN:9781683926535
DOI:10.1515/9781683926535
Truy cập:restricted access
Hierarchical level:Monograph
Statement of Responsibility: Oswald Campesato.