000 | 01731cam a2200289zu 4500 | ||
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001 | 88945234 | ||
003 | FRCYB88945234 | ||
005 | 20250108001943.0 | ||
006 | m o d | ||
007 | cr un | ||
008 | 250108s2019 fr | o|||||0|0|||eng d | ||
020 | _a9781119547624 | ||
035 | _aFRCYB88945234 | ||
040 |
_aFR-PaCSA _ben _c _erda |
||
100 | 1 | _aMueller, John Paul | |
245 | 0 | 1 |
_aPython for Data Science For Dummies _c['Mueller, John Paul', 'Massaron, Luca'] |
264 | 1 |
_bFor Dummies _c2019 |
|
300 | _a p. | ||
336 |
_btxt _2rdacontent |
||
337 |
_bc _2rdamdedia |
||
338 |
_bc _2rdacarrier |
||
650 | 0 | _a | |
700 | 0 | _aMueller, John Paul | |
700 | 0 | _aMassaron, Luca | |
856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88945234 _qtext/html _a |
520 | _aThe fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s?and named after Monty Python?that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction. | ||
999 |
_c77279 _d77279 |