McKinney, Wes  1985- <br/><br/>
Python for data analysis / 
Wes McKinney. 
 - Boston :   O´Reilly,   2013. 
 - 447 p. ;   24 cm 
<br/><br/>Preface. -- 1. Preliminaries. -- 2. Introductory examples. -- 3. Python : an interactive computing and development enviroement. -- 4. NumPY basic: Arrays and vectorized computation. -- 5. Getting started with pandas. -- 6. Daa loading, storage, and file formats. -- 7. Data wrangling: clean, transforms, merge, reshape. -- 8. Plotting and visualization. -- 9. Data aggregation ans group operations. -- 10. Tme series. -- 11. Financial and economic data applications. -- 12. Advanced NumPY. -- Appendix: Python language essentials. -- Index. 
<br/><br/><label>ISBN: </label>9781449319793 
<br/><br/><label>Subjects--Topical Terms: </label><br/>LENGUAJES DE PROGRMACIÓN<br/>PYTHON
<br/><br/><label>Universal Decimal Class. No.: </label>004.43