We study Pandas. High -performance processing and analysis of data in Python
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The Pandas library is a popular package for analyzing and processing data in Python. It offers effective, fast, high -performance data structures that make it possible to significantly simplify the work. This book will introduce you to the extensive set of tools offered by the Pandas library - starting from a review of data loading from remote sources, performing numerical and statistical analysis, indexation, aggregation and ending with data visualization and financial information analysis.
new applications are added to the second edition devoted to preliminary preparation of data and setting up hyperparameters, working with dates, lines and warnings. The algorithms of random forest, the gradient boosting of CatBoost and logistics regression are highlighted in detail.
The publication is intended for all developers in Python, interested in data processing.
2nd edition, supplemented
new applications are added to the second edition devoted to preliminary preparation of data and setting up hyperparameters, working with dates, lines and warnings. The algorithms of random forest, the gradient boosting of CatBoost and logistics regression are highlighted in detail.
The publication is intended for all developers in Python, interested in data processing.
2nd edition, supplemented
Author:
Author:Heidt Michael
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-97060-670-4
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