| 000 | 01458cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88949058 | ||
| 003 | FRCYB88949058 | ||
| 005 | 20250108002757.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250108s2022 fr | o|||||0|0|||eng d | ||
| 020 | _a9781683928256 | ||
| 035 | _aFRCYB88949058 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aCampesato, Oswald | |
| 245 | 0 | 1 |
_aPandas Basics _c['Campesato, Oswald'] |
| 264 | 1 |
_bMercury Learning and Information _c2022 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
||
| 650 | 0 | _a | |
| 700 | 0 | _aCampesato, Oswald | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88949058 _qtext/html _a |
| 520 | _aThis book is intended for those who plan to become data scientists as well as anyonewho needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code areavailable for downloading from the publisher.FEATURES:Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualizationIncludes an introductory chapter on PythonCompanion files with code | ||
| 999 |
_c78022 _d78022 |
||