| 000 | 01688cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88949082 | ||
| 003 | FRCYB88949082 | ||
| 005 | 20250108002729.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250108s2021 fr | o|||||0|0|||eng d | ||
| 020 | _a9781683926535 | ||
| 035 | _aFRCYB88949082 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
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| 100 | 1 | _aCampesato, Oswald | |
| 245 | 0 | 1 |
_aPython 3 and Data Analytics Pocket Primer _c['Campesato, Oswald'] |
| 264 | 1 |
_bMercury Learning and Information _c2021 |
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| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
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| 337 |
_bc _2rdamdedia |
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| 338 |
_bc _2rdacarrier |
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| 650 | 0 | _a | |
| 700 | 0 | _aCampesato, Oswald | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88949082 _qtext/html _a |
| 520 | _aAs 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 | ||
| 999 |
_c77982 _d77982 |
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