| 000 | 01254nam a22002537a 4500 | ||
|---|---|---|---|
| 003 | IIITD | ||
| 005 | 20240928020005.0 | ||
| 008 | 231214b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9781098104030 | ||
| 040 | _aIIITD | ||
| 082 |
_a006.312 _bMCK-P |
||
| 100 | _aMcKinney, Wes | ||
| 245 |
_aPython for data analysis : _bdata wrangling with pandas, NumPy & Jupyter _cby Wes McKinney |
||
| 250 | _a3rd ed. | ||
| 260 |
_bShroff Publishers, _aMumbai : _c©2022 |
||
| 300 |
_axvi, 561 p. : _bill. ; _c23 cm. |
||
| 504 | _aThis book includes index. | ||
| 505 |
_t1. Preliminaries _t2. Python language basics, IPython, and Jupyter notebooks _t3. Built-in data structures, functions, and files _t4. NumPy basics: arrays and vectorized computation _t5. Getting started with pandas _t6. Data loading, storage, and file formats _t7. Data cleaning and preparation _t8. Data wrangling: join, combine, and reshape _t9. Plotting and visualization _t10. Data aggregation and group operations _t11. Time series _t12. Introduction to modeling libraies in Python _t13. Data analysis examples |
||
| 650 | _aPython (Computer program language) | ||
| 650 | _aData mining | ||
| 650 | _aProgramming languages (Electronic computers) | ||
| 650 | _aPython 3.6 | ||
| 942 |
_2ddc _cBK _04 |
||
| 999 |
_c172005 _d172005 |
||