| 000 | 01848cam a2200301 i 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20250716161248.0 | ||
| 008 | 240720t20222022maua 001 0 eng d | ||
| 020 | _a9789355421906 | ||
| 040 | _cSTCPL | ||
| 041 | _aENG | ||
| 082 | 0 | 4 |
_a005.133 _bWES-P |
| 100 | 1 | _aMcKinney, Wes | |
| 245 | 1 | 0 |
_aPython for data analysis : _bdata wrangling with pandas, NumPy, and Jupyter / _cby Wes McKinney |
| 250 | _a3rd ed. | ||
| 260 |
_aSebastopol: _bO'REILLY, _c2022. |
||
| 300 |
_a561 p. _bPB |
||
| 505 | 0 | _aPreliminaries -- Python language basics IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaing and preparation -- Data wrangling: join, combine, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Introduction to modeling libraries in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system. | |
| 520 | _a"Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third 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, and Jupyter in the process. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing." -- | ||
| 650 | 0 | _aData anlysis | |
| 650 | 0 | _aPython (Computer program language) | |
| 650 | 0 | _aProgramming languages (Electronic computers) | |
| 650 | 0 | _aData mining | |
| 650 | 7 | _aProgramming languages (Electronic computers) | |
| 942 | _cBK | ||
| 942 | _2ddc | ||
| 942 | _2ddc | ||
| 999 |
_c86927 _d86927 |
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