| 000 | 01382nam a22002177a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20221107163137.0 | ||
| 008 | 221107b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9789355421906 | ||
| 040 | _cICTS-TIFR | ||
| 050 | _aQA76.73.P98 | ||
| 100 | _aMcKinney, Wes | ||
| 245 |
_aPython for data analysis: data wrangling with pandas, numpy & jupyter _c/ Wes McKinney |
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| 250 | _a3rd Ed. | ||
| 260 |
_aMumbai: _bShroff publishers & distributors pvt.ltd. (O'Reilly) _c2022 |
||
| 300 | _axvi, 561 p. | ||
| 505 | _a1. 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. Advanced pandas; 13. Introduction to modeling libraies in Python; 14. Data analysis examples; 15. Advanced NumPy; 16. More on the IPython system | ||
| 520 | _a"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process". | ||
| 650 | _aComputer science: Python | ||
| 942 |
_2lcc _cBK |
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| 999 |
_c3209 _d3209 |
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