February 2024
Intermediate to advanced
292 pages
4h 11m
Chinese
Overview
学习Python编程，轻松应对大数据分析任务，掌握信号处理、时间序列、文本数据分析、机器学习等高级技能
Key Features
- 在本书的最后，采用3个附录的形式为读者补充了一些重要概念、常用函数以及在线资源等重要内容。
- 示例丰富、简单易懂
Book Description
Python作为一种高级程序设计语言，凭借其简洁、易读及可扩展性日渐成为程序设计领域备受推崇的语言。同时，Python语言的数据分析功能也逐渐为大众所认可。
本书就是一本介绍如何用Python进行数据分析的学习指南。全书共12章，从Python程序库入门、NumPy数组和Pandas入门开始，陆续介绍了数据的检索、数据加工与存储、数据可视化等内容。同时，本书还介绍了信号处理与时间序列、应用数据库、分析文本数据与社交媒体、预测性分析与机器学习、Python生态系统的外部环境和云计算、性能优化及分析、并发性等内容。在本书的最后，还采用3个附录的形式为读者补充了一些重要概念、常用函数以及在线资源等重要内容。
本书延续了上一版示例丰富、简单易懂的优点，非常适合对Python语言感兴趣或者想要使用Python语言进行数据分析的读者参考阅读。
What you will learn
- 使用Python处理和操作数据
- 完成复杂的分析和建模
- 借助NumPy和Pandas来学习数据的各种操作
Who this book is for
Python程序开发人员、数据分析人员、计算机专业学生，想要使用Python完成数据科学任务的读者
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