How about 'Fluent Python'

Imagine that when I first learn Python (or other languages), I only learn the 20% of commonly used ones. If I am not willing to improve, then I may never have the opportunity to understand descriptors or use metaclasses. In the end, I became a frog in the well who thought I could program and was familiar with Python, so I refused at the time.

Because I hope to fully understand the capabilities of this language. I may not be able to grasp some advanced features right away, but when I use it in the future, I need to know whether it can actually be used. Do it. Along the way, I have actually used the technique of "wait and look again when needed" many times. On the one hand, I have limited energy, and on the other hand, I don't have a good book to advance these concepts that are rarely used and difficult to understand in my work. Organize the content.

"Smooth Python" is such a rare Python advanced book. Many newcomers may not know why "Smooth Python" is so famous in the circle. This is because it is a book that specifically introduces advanced and even unique features of the Python language. Being familiar with these contents will be very helpful for engineers. Big improvement.

On the other hand, the market is flooded with a large number of introductory books, which will only teach you the syntax of Python that can be learned from the official Python website (this is why many people recommend reading the official documents directly to learn), the author Limited by their own technical strength, they often avoid mentioning the essence of the language, advanced usage, unique perspectives, etc., and the code they write is far from Pythonic and Idiomatic. In "Fluent Python" you can learn a lot of practical methods, grammatical features and the author's understanding. The most important thing is to help you establish correct values.

Let me give you a few examples:

Extended Reading & Miscellaneous Talk

There is "Extended Reading" at the end of each chapter Chapters list the addresses of speech PPTs, videos, interviews and other content, as well as relevant book chapters, etc., allowing you to extend your reading beyond the book. In addition, the "Miscellaneous Talks" chapter is more interesting and contains the author's understanding and opinions of the corresponding chapter content. , such as the chapter "Using Futures Processing and Development", he said:

我觉得 concurrent.futures 包很棒，它把线程、进程和队列视作服务的基础设置，不用自己动手直接处理。

This is really the core feature of concurrent.futures. I hope this bag will be more and more recognized by everyone.

GIL

Alas, this topic is heavy. Many people who hack Python like this. The book has a relatively in-depth explanation of GIL, especially the following sentence (knock on the blackboard, please pay attention):

GIL是CPython解释器的局限，与Python语言无关。Jython和IronPython没有这种限制。

Closure

"What is Closure?" is a very common interview question. You can find many blog articles on the Internet talking about it, but I don’t remember anyone summarizing it more concisely and clearly than this book:

闭包指延伸了作用域的函数，其中包含函数定义体中引用，但是不在定义体中定义的非全局变量... 它能访问定义体之外定义的非全局变量。

Author: Luciano Ramalho

ThoughtWorks technical master, senior Python programmer, member of Python Software Foundation. Co-owner of Python.pro.br (a training company in Brazil) and co-founder of Garoa Hacker Clube, Brazil’s first makerspace. He has led multiple software development teams and taught Python courses in media, banking, and government sectors in Brazil.

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