Python Tools for Data Scientists Pocket Primer

Book Description

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available.

FEATURES:

• Introduces Python, NumPy, Sklearn, SciPy, and awk
• Covers data cleaning tasks and data visualization
• Features numerous code samples throughout
• Includes companion files with source code

中文：

书名：数据科学家的Python工具袖珍入门

作为最畅销的Pocket Primer系列的一部分，本书旨在为数据科学家提供对众多Python工具的全面介绍。本书涵盖了NumPy和Pandas的功能，如何编写正则表达式以及如何执行数据清理任务。它包括有关数据可视化以及与Sklearn和SciPy合作的单独章节。提供带有源代码的配套文件。

特点:

• 介绍Python、NumPy、Sklearn、SciPy、awk
• 覆盖数据清洗任务和数据可视化
• 具有大量代码示例
• 包含源代码的配套文件