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| 003 | ES-MaUEC | ||
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| 008 | 180709s2018 xxu s 00| 0 eng d | ||
| 020 | _a9781491957639 | ||
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_aQA76.73 .P98 _b2018 EB |
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_aMcKinney, Wes _9682658 _eautor |
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| 245 | 1 | 0 |
_aPython for Data Analysis : _bData Wrangling with Pandas, NumPy, and IPython _cWes McKinney |
| 250 | _aSecond edition | ||
| 264 | 1 |
_aSebastopol _bO'Really _c2018 |
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| 300 | _a1 recurso en línea (529 páginas) | ||
| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 520 | 3 | _aGet complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the IPython shell and Jupyter notebook for exploratory computingLearn basic and advanced features in NumPy (Numerical Python)Get started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples. | |
| 650 | 7 |
_aPython (Lenguaje de programación) _2embne _9161036 |
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| 650 | 7 |
_aData mining _2embne _9162648 |
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| 856 | 4 | 0 |
_uhttp://search.ebscohost.com//login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1605925 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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| 998 |
_b03/2022 _dz _eu _zSI |
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