| 000 | 01152nam a2200229 a 4500 | ||
|---|---|---|---|
| 003 | AR-LpUFIB | ||
| 005 | 20250311170516.0 | ||
| 008 | 230201s2018 xxua r 000 0 eng d | ||
| 020 | _a9781491957660 | ||
| 024 | 8 |
_aDIF-M8488 _b8713 _zDIF007767 |
|
| 040 |
_aAR-LpUFIB _bspa _cAR-LpUFIB |
||
| 100 | 1 | _aMcKinney, Wes | |
| 245 | 1 | 0 |
_aPython for data analysis : _bdata wrangling with Pandas, NumPy, and IPython |
| 250 | _a2nd ed. | ||
| 260 |
_aSebastopol : _b O'Reilly, _c2018 |
||
| 300 |
_axvi, 528 p. : _bil. |
||
| 500 | _aIncluye Ãndice | ||
| 505 | 0 | _a 1 Preliminaries -- 2 Python Language Basics, IPython, and Jupyter Notebooks -- 3 Built-In Data Structures, Functions, and Files -- 4 NumPy Basics: Arrays and Vectorized Computation -- 5 Getting Started with pandas -- 6 Data Loading, Storage, and File Formats -- 7 Data Cleaning and Preparation -- 8 Data Wrangling: Join, Combine, and Reshape -- 9 Plotting and Visualization -- 10 Data Aggregation and Group Operations -- 11 Time Series -- 12 Introduction to Modeling Libraries in Python -- 13 Data Analysis Examples | |
| 650 | 4 | _aLENGUAJES DE PROGRAMACIÓN | |
| 650 | 4 | _aPYTHON | |
| 942 | _cBK | ||
| 999 |
_c57540 _d57540 |
||