×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Pandas Cookbook. Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition William Ayd, Matthew Harrison, Wes McKinney

(ebook) (audiobook) (audiobook) Książka w języku 1
Pandas Cookbook.  Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition William Ayd, Matthew Harrison, Wes McKinney - okladka książki

Pandas Cookbook.  Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition William Ayd, Matthew Harrison, Wes McKinney - okladka książki

Pandas Cookbook.  Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition William Ayd, Matthew Harrison, Wes McKinney - audiobook MP3

Pandas Cookbook.  Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition William Ayd, Matthew Harrison, Wes McKinney - audiobook CD

Autorzy:
William Ayd, Matthew Harrison, Wes McKinney
Serie wydawnicze:
Cookbook
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
404
Dostępne formaty:
     PDF
     ePub
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.

With this latest edition unlock the full potential of pandas 2.x onwards. Whether you're a beginner or an experienced data analyst, this book offers a wealth of practical recipes to help you excel in your data analysis projects. This cookbook covers everything from fundamental data manipulation tasks to advanced techniques for handling big data, visualization, and more. Each recipe is designed to address common real-world challenges, providing clear explanations and step-by-step instructions to guide you through the process.

Explore cutting-edge topics such as idiomatic pandas coding, efficient handling of large datasets, and advanced data visualization techniques.  Whether you're looking to sharpen or expand your skills, the Pandas Cookbook is your essential companion for mastering data analysis and manipulation with pandas 2.x, and beyond.

Wybrane bestsellery

O autorach książki

Will Ayd is a core maintainer of the pandas project, serving in that role since 2017. For over a decade working as a consultant, Will has helped countless clients get the most value from their data using pandas and the open-source ecosystem surrounding it
Matt Harrison has been using Python since 2000. He runs MetaSnake, which provides corporate training for Python and Data Science. He is the author of Machine Learning Pocket Reference, the bestselling Illustrated Guide to Python 3, and Learning the Pandas Library, among other books

Wes McKinney ― twórca oprogramowania open source, autor projektu pandas i współtwórca Apache Arrow. Członek The Apache Software Foundation, a także PMC Apache Parquet. Obecnie pełni funkcję dyrektora technicznego Voltron Data, gdzie zajmuje się przyspieszonymi technologiami obliczeniowymi opartymi na Apache Arrow.

William Ayd, Matthew Harrison, Wes McKinney - pozostałe książki

Zobacz pozostałe książki z serii Cookbook

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
125,10 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.