| 000 | 01668nam a22002897a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20220628085917.0 | ||
| 008 | 201108b ||||| |||| 00| 0 eng d | ||
| 020 | _a9781119547624 | ||
| 040 |
_bEnglish. _cCvSU-CCAT Campus Library. _erda. _aCvSU-CCAT Campus Library. |
||
| 050 |
_aQA 76.76 _bM84 2019 |
||
| 100 |
_aMueller, John Paul, author. _92908 |
||
| 245 |
_aPython for data science for dummies / _cby John Paul Mueller, Luca Massaron. |
||
| 250 | _aSecond edition. | ||
| 260 |
_aHoboken, New Jersey : _bJohn Wiley & Sons, _cc2019. |
||
| 300 |
_axvi, 467 pages : _billustrations ; _c23 cm. |
||
| 490 | _a(For dummies) | ||
| 504 | _aIncludes index. | ||
| 505 | _aPart 1 - Getting stared with data science and python Part 2 - Getting your hands dirty with data Part 3 - Visualizing information Part 4 - Wrangling data Part 5 - Learning from data Part 6 - The part of tens | ||
| 520 | _aPython 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. 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. | ||
| 546 | _aIn English Text. | ||
| 650 |
_aPython (Computer program language). _9302 |
||
| 650 |
_aComputer programming. _9512 |
||
| 700 |
_aMassaron, Luca, author. _92909 |
||
| 942 |
_2lcc _cBK _kCIR _hQA 76.76 M84 2019 |
||
| 999 |
_c15 _d15 |
||