Foundations for analytics with Python
If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and ana...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing, China :
O'Reilly
2016.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629899406719 |
| Sumario: | If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python. After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. |
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| Descripción Física: | 1 online resource (351 pages) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781491922484 9781491922521 9781491922507 |
