Top 5 Books to Learn Data Science in 2020

栏目: IT技术 · 发布时间: 6年前

In the article subtitle, I’ve mentioned the idea of books being generally better than online courses for learning data science, or in fact, learning any other tech skill. If you are a huge fan of online courses I just hope you’re reading this paragraph, and haven’t already gone to the comment section.

Let me elaborate. Books require concentration to get through, especially technical ones. On the other side, with online courses I find myself watching the video through the end, but not really paying attention. Further, knowledge from the books will just “stick” better for the majority of us.

Don’t get me wrong, online courses are great for heavily practical stuff, but reading books is a way better solution for learning basics and theoretical concepts — something necessary before jumping to code.

Combining both — books for basics and theory, and online courses for the practical part will make sure you master both aspects in the long run.

Anyhow, you’re here for the top 5 books, so let’s see which the first one is.


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正则表达式必知必会(修订版)

正则表达式必知必会(修订版)

福达 (Ben Forta) / 杨涛 / 人民邮电出版社 / 2015-1-1 / 29.00元

《正则表达式必知必会》从简单的文本匹配开始,循序渐进地介绍了很多复杂内容,其中包括回溯引用、条件性求值和前后查找,等等。每章都为读者准备了许多简明又实用的示例,有助于全面、系统、快速掌握正则表达式,并运用它们去解决实际问题。正则表达式是一种威力无比强大的武器,几乎在所有的程序设计语言里和计算机平台上都可以用它来完成各种复杂的文本处理工作。而且书中的内容在保持语言和平台中立的同时,还兼顾了各种平台之......一起来看看 《正则表达式必知必会(修订版)》 这本书的介绍吧!

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