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The list also contains some real-world, practical advice of what not to do while working with Python in form of "How to Make Mistakes in Python" free eBook. This is the one I liked most because we all make mistakes and if we continue to learn from our own mistakes we won't learn much in whole life, but if start learning from other's mistakes then we can quickly learn a lot of things. Also learning from the own mistake is very costly, so you should always try to learn from other's mistake to avoid the same situation in your project and career.
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In short, these free Python books provide a brief yet comprehensive introduction to Python for engineers, researchers, and data scientists who are already familiar with another programming language e. Author Caleb Hattingh diligently spent time finding and testing hidden gems in the huge crowd of Python open source libraries that fit several criteria e.
You will learn about little-known standard library modules: collections, contextlib, concurrent. He is the a, which is based on his experiences as a MapReduce developer.
Some have been simple and silly; others were embarrassing and downright costly.
In this free Python eBook, he dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong. For example, you could install every third-party package that looks interesting and ends up with a tangled mess where nothing works right. Or you could write a test that manages to break the build.
In this free Python book David Mertz, author of Text Processing in Python , examines the functional aspects of the language and points out which options work well and which ones you should generally decline. Unknown November 20, at 5: Unknown December 5, at 1: Unknown December 15, at 5: Unknown January 22, at Unknown February 5, at Unknown February 11, at 3: GrowHigh Pro February 17, at Unknown March 10, at 3: Shadman Sakib Khan March 14, at 1: Unknown March 24, at 8: Social Profiles.
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