As part of the best-selling
Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, Num Py, R, SQL, No SQL, and Pandas. Companion files with source code and color figures are available.
FEATURES:
Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, Num Py, R, SQL, No SQL, and Pandas. Companion files with source code and color figures are available.
FEATURES:
- Includes a concise introduction to Python 3 and linear algebra
- Provides a thorough introduction to data visualization and regular expressions
- Covers Num Py, Pandas, R, and SQL
- Introduces probability and statistical concepts
- Features numerous code samples throughout
- Companion files with source code and figures
€75.36
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định dạng PDF ● Trang 428 ● ISBN 9781683927327 ● Nhà xuất bản Mercury Learning and Information ● Được phát hành 2021 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 8809002 ● Sao chép bảo vệ Adobe DRM
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