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| 008 | 181219s2018 xxu|||| o |||| 0|eng | ||
| 010 | _a 2019758735 | ||
| 020 | _a9781484241134 | ||
| 024 | 7 |
_a10.1007/978-1-4842-4113-4 _2doi |
|
| 035 | _a(DE-He213)978-1-4842-4113-4 | ||
| 040 |
_aDLC _beng _epn _erda _cAIMIT LIBRARY |
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_a005.762 _21 _bPORV |
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_aPorcu, Valentina, _932682 |
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| 245 | 1 | 0 |
_aPython for Data Mining Quick Syntax Reference / _cby Valentina Porcu. |
| 250 |
_a1st ed. _bSouth Asian Edition |
||
| 260 |
_aBerkeley, CA : _bApress : _c2018 |
||
| 264 | 1 |
_aBerkeley, CA : _bApress : _bImprint: Apress, _c2018. |
|
| 300 |
_axv, 260p ; _c23.3 cm |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 505 | 0 | _a1. Getting Started -- 2. Introductory Notions -- 3. Basic Objects and Structures -- 4. Functions -- 5. Conditional Instructions and Writing Functions -- 6. Other Basic Concepts -- 7. Importing Files -- 8. pandas -- 9. SciPy and NumPy -- 10. Matplotlib -- 11. scikit-learn. | |
| 520 | _aLearn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis. Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning. | ||
| 588 | _aDescription based on publisher-supplied MARC data. | ||
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_aBig data. _932683 |
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_aPython (Computer program language). _932684 |
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_aPython. _932685 |
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_aBig Data. _0https://scigraph.springernature.com/ontologies/product-market-codes/I29120 _932686 |
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_iPrint version: _tPython for data mining quick syntax reference _z9781484241127 _w(DLC) 2018966554 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781484241127 |
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_iPrinted edition: _z9781484241141 |
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_iPrinted edition: _z9781484247426 |
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