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Python Data Analysis Cookbook by Ivan Idris-P2P

Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning.

Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You’ll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining.

In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code.

By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios.

Python Data Analysis Cookbook by Ivan Idris-P2P
Packt Publishing | 22 July 2016 | English | ISBN: 178528228X | 462 pages | PDF | 7,80 MB


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  1. 数据分析是一个迅速发展的领域,Python是一种多范式编程语言适合于面向对象的应用程序开发和功能设计模式。Python提供了用于所有目的的一系列的工具和库,它已经慢慢演变为对数据科学的主要语言,包括主题:数据分析,可视化,和机器学习。
    meoow12个月前 (07-29)