【作者简介】 Holden Karau　资深软件开发工程师，现就职于Databricks公司，之前曾就职于谷歌、亚马逊、微软和Foursquare等著名公司。他对开源情有独钟，参与了许多开源项目，如Linux内核无线驱动、Android程序监控、搜索引擎等，对存储系统、推荐系统、搜索分类等都有深入研究。 【译者简介】 余璜　阿里巴巴核心系统研发工程师，OceanBase核心开发人员，对分布式系统理论和工程实践有深刻理解，专注于分布式系统设计、大规模数据处理，乐于分享，在CSDN上分享了大量技术文章。 张磊　Spark爱好者，曾参与分布式OLAP数据库系统核心开发，热衷于大数据处理、分布式计算。

Data is getting bigger, arriving faster, and coming in varied formats—and it all needs to be processed at scale for analytics or machine learning. How can you process such varied data workloads efficiently? Enter Apache Spark. Updated to emphasize new features in Spark 2.x., this second edition shows data engineers and scientists why structure and unification in Spark matters. ...(展开全部)

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common fu...(展开全部)

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common fu...(展开全部)

Free read at https://deeplearningwithpython.io/ Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python. In Deep ...(展开全部)

Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A...(展开全部)

Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A...(展开全部)

Processing最初是面向艺术家和设计师开发的程序。由Casey Reas和Ben Fry编著的《爱上Processing》适合零基础的初学者。《爱上Processing》的1～6章介绍了Processing的基础用法，而7～10章则结合计算机高级编程语言的基础知识，通过示例让初学者更加透彻地理解编程的逻辑思路以及语言。第11章结合Arduino物理模块进行了延伸。《爱上Processing》与《爱上Arduino》一书相呼应，向大家展现了Processing的强大拓展性和创造性。

If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane’s Taming Big Data with Apache Spark and Python will also help you.

This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes.