百度360必应搜狗淘宝本站头条
当前位置:网站首页 > 技术文章 > 正文

python散装笔记——109: 解释器(命令行控制台)

itomcoil 2025-03-12 15:52 25 浏览

1: 获得一般帮助

如果在控制台中调用 help 函数而不带任何参数,Python 就会显示一个交互式帮助控制台,您可以在其中找到有关 Python 模块、符号、关键字等的信息。

>>> help()

Welcome to Python 3.4's help utility!

If this is your first time using Python, you should definitely check out
the tutorial on the Internet at http://docs.python.org/3.4/tutorial/.

Enter the name of any module, keyword, or topic to get help on writing
Python programs and using Python modules. To quit this help utility and
return to the interpreter, just type "quit".

To get a list of available modules, keywords, symbols, or topics, type
"modules", "keywords", "symbols", or "topics". Each module also comes
with a one-line summary of what it does; to list the modules whose name
or summary contain a given string such as "spam", type "modules spam".

2: 参考最后一个表达式

要获取控制台中最后一个表达式的最后结果值,请使用下划线 _

>>> 2 + 2
4
>>> _
4
>>> _ + 6
10

这个神奇的下划线值只有在使用 Python 表达式产生值时才会更新。定义函数或 for 循环不会更改该值。如果表达式引发异常,_ 不会发生变化。

>>> "Hello, {0}".format("World")
'Hello, World'
>>> _
'Hello, World'
>>> def wontchangethings():
...     pass
>>> _
'Hello, World'
>>> 27 / 0
Traceback (most recent call last):
  File "", line 1, in 
ZeroDivisionError: division by zero
>>> _
'Hello, World'

请记住,这个神奇的变量只能在交互式 python 解释器中使用。运行脚本时无法使用。

3: 打开 Python 控制台

在 Windows 控制台中键入 py 或在其他平台上键入 python,通常就能打开 Python 主版本的控制台。

$ py
Python 3.4.3 (v3.4.3:9b73f1c3e601, Feb 24 2015, 22:44:40) [MSC v.1600 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>

如果您有多个版本,那么默认情况下,它们的可执行文件将分别映射到 python2 或 python3。

当然,这取决于 Python 可执行文件是否在你的 PATH 中。

4: PYTHONSTARTUP变量

您可以为 Python 控制台设置一个名为 PYTHONSTARTUP 的环境变量。每当进入 Python 控制台时,这个文件就会被执行,这样就可以为控制台添加额外的功能,比如自动导入常用模块。

如果将 PYTHONSTARTUP 变量设置为包含以下内容的文件的位置:

print("Welcome!")

然后打开 Python 控制台,就会出现这些额外的输出:

$ py
Python 3.4.3 (v3.4.3:9b73f1c3e601, Feb 24 2015, 22:44:40) [MSC v.1600 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Welcome!
>>>

5: 命令行参数

Python 有多种命令行开关可以传递给 py。执行 py --help 可以找到这些开关,在 Python 3.9 上的输出是这样的:

% python3 --help
usage: /usr/local/bin/python3 [option] ... [-c cmd | -m mod | file | -] [arg] ...
Options and arguments (and corresponding environment variables):
-b     : issue warnings about str(bytes_instance), str(bytearray_instance)
         and comparing bytes/bytearray with str. (-bb: issue errors)
-B     : don't write .pyc files on import; also PYTHONDONTWRITEBYTECODE=x
-c cmd : program passed in as string (terminates option list)
-d     : turn on parser debugging output (for experts only, only works on
         debug builds); also PYTHONDEBUG=x
-E     : ignore PYTHON* environment variables (such as PYTHONPATH)
-h     : print this help message and exit (also --help)
-i     : inspect interactively after running script; forces a prompt even
         if stdin does not appear to be a terminal; also PYTHONINSPECT=x
-I     : isolate Python from the user's environment (implies -E and -s)
-m mod : run library module as a script (terminates option list)
-O     : remove assert and __debug__-dependent statements; add .opt-1 before
         .pyc extension; also PYTHONOPTIMIZE=x
-OO    : do -O changes and also discard docstrings; add .opt-2 before
         .pyc extension
-q     : don't print version and copyright messages on interactive startup
-s     : don't add user site directory to sys.path; also PYTHONNOUSERSITE
-S     : don't imply 'import site' on initialization
-u     : force the stdout and stderr streams to be unbuffered;
         this option has no effect on stdin; also PYTHONUNBUFFERED=x
-v     : verbose (trace import statements); also PYTHONVERBOSE=x
         can be supplied multiple times to increase verbosity
-V     : print the Python version number and exit (also --version)
         when given twice, print more information about the build
-W arg : warning control; arg is action:message:category:module:lineno
         also PYTHONWARNINGS=arg
-x     : skip first line of source, allowing use of non-Unix forms of #!cmd
-X opt : set implementation-specific option. The following options are available:

         -X faulthandler: enable faulthandler
         -X oldparser: enable the traditional LL(1) parser; also PYTHONOLDPARSER
         -X showrefcount: output the total reference count and number of used
             memory blocks when the program finishes or after each statement in the
             interactive interpreter. This only works on debug builds
         -X tracemalloc: start tracing Python memory allocations using the
             tracemalloc module. By default, only the most recent frame is stored in a
             traceback of a trace. Use -X tracemalloc=NFRAME to start tracing with a
             traceback limit of NFRAME frames
         -X importtime: show how long each import takes. It shows module name,
             cumulative time (including nested imports) and self time (excluding
             nested imports). Note that its output may be broken in multi-threaded
             application. Typical usage is python3 -X importtime -c 'import asyncio'
         -X dev: enable CPython's "development mode", introducing additional runtime
             checks which are too expensive to be enabled by default. Effect of the
             developer mode:
                * Add default warning filter, as -W default
                * Install debug hooks on memory allocators: see the PyMem_SetupDebugHooks() C function
                * Enable the faulthandler module to dump the Python traceback on a crash
                * Enable asyncio debug mode
                * Set the dev_mode attribute of sys.flags to True
                * io.IOBase destructor logs close() exceptions
         -X utf8: enable UTF-8 mode for operating system interfaces, overriding the default
             locale-aware mode. -X utf8=0 explicitly disables UTF-8 mode (even when it would
             otherwise activate automatically)
         -X pycache_prefix=PATH: enable writing .pyc files to a parallel tree rooted at the
             given directory instead of to the code tree

--check-hash-based-pycs always|default|never:
    control how Python invalidates hash-based .pyc files
file   : program read from script file
-      : program read from stdin (default; interactive mode if a tty)
arg ...: arguments passed to program in sys.argv[1:]

Other environment variables:
PYTHONSTARTUP: file executed on interactive startup (no default)
PYTHONPATH   : ':'-separated list of directories prefixed to the
               default module search path.  The result is sys.path.
PYTHONHOME   : alternate 
 directory (or 
:).
               The default module search path uses 
/lib/pythonX.X.
PYTHONPLATLIBDIR : override sys.platlibdir.
PYTHONCASEOK : ignore case in 'import' statements (Windows).
PYTHONUTF8: if set to 1, enable the UTF-8 mode.
PYTHONIOENCODING: Encoding[:errors] used for stdin/stdout/stderr.
PYTHONFAULTHANDLER: dump the Python traceback on fatal errors.
PYTHONHASHSEED: if this variable is set to 'random', a random value is used
   to seed the hashes of str and bytes objects.  It can also be set to an
   integer in the range [0,4294967295] to get hash values with a
   predictable seed.
PYTHONMALLOC: set the Python memory allocators and/or install debug hooks
   on Python memory allocators. Use PYTHONMALLOC=debug to install debug
   hooks.
PYTHONCOERCECLOCALE: if this variable is set to 0, it disables the locale
   coercion behavior. Use PYTHONCOERCECLOCALE=warn to request display of
   locale coercion and locale compatibility warnings on stderr.
PYTHONBREAKPOINT: if this variable is set to 0, it disables the default
   debugger. It can be set to the callable of your debugger of choice.
PYTHONDEVMODE: enable the development mode.
PYTHONPYCACHEPREFIX: root directory for bytecode cache (pyc) files.

6: 获取有关对象的帮助

Python 控制台添加了一个新函数 help,用来获取函数或对象的信息。

对于一个函数,help 会打印它的签名(参数)和 docstring(如果函数有 docstring)。

>>> help(print)
Help on built-in function print in module builtins:
  
print(...)
  print(value, ..., sep=' ', end='\n', file=sys.stdout, flush=False)
  
  Prints the values to a stream, or to sys.stdout by default.
  Optional keyword arguments:
  file: a file-like object (stream); defaults to the current sys.stdout.
  sep: string inserted between values, default a space.
  end: string appended after the last value, default a newline.
  flush: whether to forcibly flush the stream.

对于一个对象,help 列出了该对象的 docstring 以及该对象的不同成员函数。

>>> x = 2
>>> help(x)
Help on int object:

class int(object)
| int(x=0) -> integer
| int(x, base=10) -> integer
|
| Convert a number or string to an integer, or return 0 if no arguments
| are given. If x is a number, return x.__int__(). For floating point
| numbers, this truncates towards zero.
|
| If x is not a number or if base is given, then x must be a string,
| bytes, or bytearray instance representing an integer literal in the
| given base. The literal can be preceded by '+' or '-' and be surrounded
| by whitespace. The base defaults to 10. Valid bases are 0 and 2-36.
| Base 0 means to interpret the base from the string as an integer literal.
| >>> int('0b100', base=0)
| 4
|
| Methods defined here:
|
| __abs__(self, /)
| abs(self)
|
| __add__(self, value, /)
| Return self+value...

相关推荐

Python编程实现求解高次方程_python求次幂
Python编程实现求解高次方程_python求次幂

#头条创作挑战赛#编程求解一元多次方程,一般情况下对于高次方程我们只求出近似解,较少的情况可以得到精确解。这里给出两种经典的方法,一种是牛顿迭代法,它是求解方程根的有效方法,通过若干次迭代(重复执行部分代码,每次使变量的当前值被计算出的新值...

2025-10-23 03:58 itomcoil

python常用得内置函数解析——sorted()函数

接下来我们详细解析Python中非常重要的内置函数sorted()1.函数定义sorted()函数用于对任何可迭代对象进行排序,并返回一个新的排序后的列表。语法:sorted(iterabl...

Python入门学习教程:第 6 章 列表

6.1什么是列表?在Python中,列表(List)是一种用于存储多个元素的有序集合,它是最常用的数据结构之一。列表中的元素可以是不同的数据类型,如整数、字符串、浮点数,甚至可以是另一个列表。列...

Python之函数进阶-函数加强(上)_python怎么用函数

一.递归函数递归是一种编程技术,其中函数调用自身以解决问题。递归函数需要有一个或多个终止条件,以防止无限递归。递归可以用于解决许多问题,例如排序、搜索、解析语法等。递归的优点是代码简洁、易于理解,并...

Python内置函数range_python内置函数int的作用

range类型表示不可变的数字序列,通常用于在for循环中循环指定的次数。range(stop)range(start,stop[,step])range构造器的参数必须为整数(可以是内...

python常用得内置函数解析——abs()函数

大家号这两天主要是几个常用得内置函数详解详细解析一下Python中非常常用的内置函数abs()。1.函数定义abs(x)是Python的一个内置函数,用于返回一个数的绝对值。参数:x...

如何在Python中获取数字的绝对值?

Python有两种获取数字绝对值的方法:内置abs()函数返回绝对值。math.fabs()函数还返回浮点绝对值。abs()函数获取绝对值内置abs()函数返回绝对值,要使用该函数,只需直接调用:a...

贪心算法变种及Python模板_贪心算法几个经典例子python

贪心算法是一种在每一步选择中都采取当前状态下最优的选择,从而希望导致结果是全局最优的算法策略。以下是贪心算法的主要变种、对应的模板和解决的问题特点。1.区间调度问题问题特点需要从一组区间中选择最大数...

Python倒车请注意!负步长range的10个高能用法,让代码效率翻倍

你是否曾遇到过需要倒着处理数据的情况?面对时间序列、日志文件或者矩阵操作,传统的遍历方式往往捉襟见肘。今天我们就来揭秘Python中那个被低估的功能——range的负步长操作,让你的代码优雅反转!一、...

Python中while循环详解_python怎么while循环

Python中的`while`循环是一种基于条件判断的重复执行结构,适用于不确定循环次数但明确终止条件的场景。以下是详细解析:---###一、基本语法```pythonwhile条件表达式:循环体...

简单的python-核心篇-面向对象编程

在Python中,类本身也是对象,这被称为"元类"。这种设计让Python的面向对象编程具有极大的灵活性。classMyClass:"""一个简单的...

简单的python-python3中的不变的元组

golang中没有内置的元组类型,但是多值返回的处理结果模拟了元组的味道。因此,在golang中"元组”只是一个将多个值(可能是同类型的,也可能是不同类型的)绑定在一起的一种便利方法,通常,也...

python中必须掌握的20个核心函数——sorted()函数

sorted()是Python的内置函数,用于对可迭代对象进行排序,返回一个新的排序后的列表,不修改原始对象。一、sorted()的基本用法1.1方法签名sorted(iterable,*,ke...

12 个 Python 高级技巧,让你的代码瞬间清晰、高效

在日常的编程工作中,我们常常追求代码的精简、优雅和高效。你可能已经熟练掌握了列表推导式(listcomprehensions)、f-string和枚举(enumerate)等常用技巧,但有时仍会觉...

Python的10个进阶技巧:写出更快、更省内存、更优雅的代码

在Python的世界里,我们总是在追求效率和可读性的完美平衡。你不需要一个数百行的新框架来让你的代码变得优雅而快速。事实上,真正能带来巨大提升的,往往是那些看似微小、却拥有高杠杆作用的技巧。这些技巧能...