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public:it:python [2018/02/28 13:48] – 外部编辑 127.0.0.1public:it:python [2024/01/15 15:33] (当前版本) – [Tips] oakfire
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   * In Terminal, type ''pydoc raw_input'' Read what it says about "raw_input". If you're on Windows try ''python -m pydoc raw_input'' instead. Get out of pydoc by typing ''q'' to quit.   * In Terminal, type ''pydoc raw_input'' Read what it says about "raw_input". If you're on Windows try ''python -m pydoc raw_input'' instead. Get out of pydoc by typing ''q'' to quit.
   * python为动态语言,与js类似, list,dict等object的''=''赋值在默认为引用. 如果不需要引用, 那么拷贝list用''list2 = list1[:]'',之后list2的改动便与list1无关.   * python为动态语言,与js类似, list,dict等object的''=''赋值在默认为引用. 如果不需要引用, 那么拷贝list用''list2 = list1[:]'',之后list2的改动便与list1无关.
 +  * python 变快的 9 个技巧：[[https://medium.com/techtofreedom/9-subtle-tricks-to-make-your-python-code-much-faster-50be6dd69a30|9-subtle-tricks-to-make-your-python-code-much-faster]]
 +    * 拼接字符串的速度, 直接 ''+'' 快于  ''join()'' 快于 ''+='' 一项项加.
 +    * Faster List Creation: Use “[]” Over “list()” 用 ''[]''来初始化列表
 +    * Faster Membership Testing: Use a Set Over a List
 +    * Faster Data Generation: Use Comprehensions Over For Loops  用内包代替循环
 +    * Faster Loops: Prioritize Local Variables 优先使用局部变量
 +    * Faster Execution: Prioritize Built-In Modules and Libraries 优先用内置模块和库
 +    * Faster Function Calls: Leverage Cache Decorator for Easy Memoization  
 +    * Faster Infinite Loop: Prefer “while 1” Over “while True” 但是现代解释器基本都优化过， ''while TRUE'' 还更有可读性
 +    * Faster Start-Up: Import Python Modules Smartly 
 ===== 从零开始 ===== ===== 从零开始 =====
   * [[http://learnpythonthehardway.org/book/ | learn python the hard way]] python2.   * [[http://learnpythonthehardway.org/book/ | learn python the hard way]] python2.
  • public/it/python.txt
  • 最后更改: 2024/01/15 15:33
  • 由 oakfire