python小技巧 - 如何成为Python高手

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http://blog.csdn.net/pipisorry/article/details/44801859

How to become a proficient(熟练的) Python programmer如何成为Python高手

《如何成为Python高手》是Alain M. Lafon收集的一些文章摘要，总结主要集中在四个方面上：函数式编程、性能、测试、编码规范。如果一个程序员能把这些方面的内容知识都吸收消化，那他会有巨大收获。

Spoiler: This post is primarily gonna be an excerpt(摘录) of my bookmarks collection. That’s because more intelligent men than me have already written great articles on the topic of how to become a great Python programmer.

I will focus on four primary topics: Functional programming, performance, testing and code guidelines. When those four aspectsmerge(合并) in one programmer, he or she will gaingreatness(伟大) no matter what.

Functional programming函数式编程

Writing code in an imperative(必要的) style has become the defacto(事实上的) standard. Imperative programs consist of statements that describe change of state. While this might sometimes be a performant way of coding, it sometimes isn’t (for example for sake ofcomplexity(复杂)) – also, it probably is not the mostintuitive(直觉的) way when compared withdeclarative(宣言的) programming.

If you don’t know what I’m talking about, that’s great. Here are some starter articles to get your mind running. Butbeware(当心), it’s a little like the red pill
– once you tasted functional programming, you don’t want to go back.

http://www.amk.ca/python/writing/functional
http://www.secnetix.de/olli/Python/lambda_functions.hawk
http://docs.python.org/howto(基本知识的)/functional.html

Performance性能

There’s so much talk going on about how inefficient(无效率的) these ‘scripting languages’ (Python, Ruby, …) are, that it’s easy to forget that very often it’s the algorithm chosen by the programmer that leads to horrible runtime behaviour.

Those articles are a great place to get a feel for the ins and outs of Python’s runtime behaviour, so you can get your high performing application writting in a language that isconcise(简明的) and fun to write. And if your manager asks about Python’s performance, don’t forget to mention that the second largest search engine in the world is run by Python – namely Youtube(seePython quotes).

http://jaynes.colorado.edu/PythonIdioms.html
http://wiki.python.org/moin/PythonSpeed/PerformanceTips

Testing测试

Testing is probably one the most misjudged topics in computer science these days. Some programmers really got it andemphasize(强调) TDD(test driven development) and it’s successor BDD(behaviour driven development) whereever possible. Others simply don’t feel it yet and think it’s a waste of time. Well, I’m gonna be that guy and tell you: If you haven’t started out on TDD/BDD yet, you have missed out greatly!

It’s not about introducing a technology to replace that release management automaton(自动机) in your company that mindlessly clicks through the application once in a while, it is about giving you a tool to deeply understand your own problem domain – to reallyconquer(战胜),manipulate(操纵) and twist it the way you want and need it to be. If you haven’t yet, give it a shot. These articles will give you someimpulses(冲动):

http://www.oreillynet.com/lpt/a/5463
http://www.oreillynet.com/lpt/a/5584
http://wiki.cacr.caltech.edu/danse/index.php/Unit_testing_and_Integration_testing
http://docs.python.org/library/unittest.html

Code guidelines编码规范

Not all code is created equal. Some can be read and changed by any great programmer out there. But some can only be read and only sometimes changed by the original author – and that maybe only a couple of hours after he or she wrote it. Why is that? Because of missing test coverage (see above) and the lack of proper usage of coding guidelines.

These articles establish an absolute minimum to adhere(坚持) to. When you follow these, you will write more consise and beautiful code. As a side effect it will be more readable andadaptable(适合的) by you or anyone else.

http://www.python.org/dev/peps/pep-0008/
http://www.fantascienza.net/leonardo/ar/python_best_practices.html

from:http://blog.csdn.net/pipisorry/article/details/44801859

ref:http://blog.dispatched.ch/2011/06/12/how-to-become-a-proficient-python-programmer/

StarterLearningPython/n001.md

Python高级编程技巧

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