Pandas 1.x Cookbook
| Autor: | Matt Harrison, Theodore Petrou |
|---|---|
| EAN: | 9781839218910 |
| eBook Format: | ePUB |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 27.02.2020 |
| Untertitel: | Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python |
| Kategorie: | |
| Schlagworte: | Data wrangling; data processing; data manipulation; Boolean indexing; Python; pandas; Scikit; Scikit-Learn; machine learning; statistical computing; Scientific computing; Data Science; tidy data; Data Exploration; Dataframes; Exploratory data analysi |
57,59 €*
Versandkostenfrei
Die Verfügbarkeit wird nach ihrer Bestellung bei uns geprüft.
Bücher sind in der Regel innerhalb von 1-2 Werktagen abholbereit.
The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.
This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.