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Data Analysis with Python and PySpark. Jonathan Rioux

Data Analysis with Python and PySpark. Jonathan Rioux
В наличии
Код: WM-021724
799₴
Оплата
Наложенный платеж (Новая Почта)
Наложенный платеж (Новая Почта)
Безналичный рассчет (IBAN)
Безналичный рассчет (IBAN)

Описание Data Analysis with Python and PySpark. Jonathan Rioux

Data Analysis with Python and PySpark by Jonathan Rioux is a practical guide for data professionals looking to leverage the power of PySpark for big data processing and analysis. This book bridges the gap between traditional Python-based data analysis and distributed computing, enabling readers to handle large datasets efficiently.
What's inside:

  • PySpark Basics: Installing, Configuring, and Running Code
  • Working with DataFrames and Spark SQL for Data Processing
  • Using Grouping, Aggregation, and Windowing Functions
  • Scalable Machine Learning and Statistical Analysis with PySpark
  • Optimizing Performance and Managing Cluster Resources


The book is aimed at data scientists, analysts, and developers who want to integrate PySpark into their projects and improve the efficiency of working with large volumes of data.

Основные характеристики Data Analysis with Python and PySpark. Jonathan Rioux

Основные характеристики
Автор Jonathan Rioux
Обложка Мягкая
Количество страниц 456
Язык издания Английский
Тип полиграфической бумаги офсет

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Data Analysis with Python and PySpark. Jonathan Rioux
Data Analysis with Python and PySpark. Jonathan Rioux
Код: WM-021724
В наличии
799₴
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