The CPython interpreter scans the command line and the environment for various settings.
CPython implementation detail: Other implementations’ command line schemes may differ. See Alternate Implementations for further resources.
When invoking Python, you may specify any of these options:
python [-BdEiOQsRStuUvVWxX3?] [-c command | -m module-name | script | - ] [args]
The most common use case is, of course, a simple invocation of a script:
The interpreter interface resembles that of the UNIX shell, but provides some additional methods of invocation:
In non-interactive mode, the entire input is parsed before it is executed.
An interface option terminates the list of options consumed by the interpreter, all consecutive arguments will end up in sys.argv – note that the first element, subscript zero (sys.argv), is a string reflecting the program’s source.
Execute the Python code in command. command can be one or more statements separated by newlines, with significant leading whitespace as in normal module code.
If this option is given, the first element of sys.argv will be "-c" and the current directory will be added to the start of sys.path (allowing modules in that directory to be imported as top level modules).
Since the argument is a module name, you must not give a file extension (.py). The module-name should be a valid Python module name, but the implementation may not always enforce this (e.g. it may allow you to use a name that includes a hyphen).
Package names are also permitted. When a package name is supplied instead of a normal module, the interpreter will execute <pkg>.__main__ as the main module. This behaviour is deliberately similar to the handling of directories and zipfiles that are passed to the interpreter as the script argument.
This option cannot be used with built-in modules and extension modules written in C, since they do not have Python module files. However, it can still be used for precompiled modules, even if the original source file is not available.
Many standard library modules contain code that is invoked on their execution as a script. An example is the timeit module:
python -mtimeit -s 'setup here' 'benchmarked code here' python -mtimeit -h # for details
PEP 338 – Executing modules as scripts
New in version 2.4.
Changed in version 2.5: The named module can now be located inside a package.
Changed in version 2.7: Supply the package name to run a __main__ submodule. sys.argv is now set to "-m" while searching for the module (it was previously incorrectly set to "-c")
Execute the Python code contained in script, which must be a filesystem path (absolute or relative) referring to either a Python file, a directory containing a __main__.py file, or a zipfile containing a __main__.py file.
If this option is given, the first element of sys.argv will be the script name as given on the command line.
Changed in version 2.5: Directories and zipfiles containing a __main__.py file at the top level are now considered valid Python scripts.
Print a short description of all command line options.
Changed in version 2.5: The --help variant.
If given, Python won’t try to write .pyc or .pyo files on the import of source modules. See also PYTHONDONTWRITEBYTECODE.
New in version 2.6.
Turn on parser debugging output (for wizards only, depending on compilation options). See also PYTHONDEBUG.
New in version 2.2.
When a script is passed as first argument or the -c option is used, enter interactive mode after executing the script or the command, even when sys.stdin does not appear to be a terminal. The PYTHONSTARTUP file is not read.
This can be useful to inspect global variables or a stack trace when a script raises an exception. See also PYTHONINSPECT.
Division control. The argument must be one of the following:
PEP 238 – Changing the division operator
Turn on hash randomization, so that the __hash__() values of str, bytes and datetime objects are “salted” with an unpredictable random value. Although they remain constant within an individual Python process, they are not predictable between repeated invocations of Python.
This is intended to provide protection against a denial-of-service caused by carefully-chosen inputs that exploit the worst case performance of a dict construction, O(n^2) complexity. See http://www.ocert.org/advisories/ocert-2011-003.html for details.
Changing hash values affects the order in which keys are retrieved from a dict. Although Python has never made guarantees about this ordering (and it typically varies between 32-bit and 64-bit builds), enough real-world code implicitly relies on this non-guaranteed behavior that the randomization is disabled by default.
See also PYTHONHASHSEED.
New in version 2.6.8.
Issue a warning when a source file mixes tabs and spaces for indentation in a way that makes it depend on the worth of a tab expressed in spaces. Issue an error when the option is given twice (-tt).
Force stdin, stdout and stderr to be totally unbuffered. On systems where it matters, also put stdin, stdout and stderr in binary mode.
Note that there is internal buffering in file.readlines() and File Objects (for line in sys.stdin) which is not influenced by this option. To work around this, you will want to use file.readline() inside a while 1: loop.
See also PYTHONUNBUFFERED.
Print a message each time a module is initialized, showing the place (filename or built-in module) from which it is loaded. When given twice (-vv), print a message for each file that is checked for when searching for a module. Also provides information on module cleanup at exit. See also PYTHONVERBOSE.
Warning control. Python’s warning machinery by default prints warning messages to sys.stderr. A typical warning message has the following form:
file:line: category: message
By default, each warning is printed once for each source line where it occurs. This option controls how often warnings are printed.
Multiple -W options may be given; when a warning matches more than one option, the action for the last matching option is performed. Invalid -W options are ignored (though, a warning message is printed about invalid options when the first warning is issued).
Starting from Python 2.7, DeprecationWarning and its descendants are ignored by default. The -Wd option can be used to re-enable them.
Warnings can also be controlled from within a Python program using the warnings module.
The simplest form of argument is one of the following action strings (or a unique abbreviation) by themselves:
The full form of argument is:
Here, action is as explained above but only applies to messages that match the remaining fields. Empty fields match all values; trailing empty fields may be omitted. The message field matches the start of the warning message printed; this match is case-insensitive. The category field matches the warning category. This must be a class name; the match tests whether the actual warning category of the message is a subclass of the specified warning category. The full class name must be given. The module field matches the (fully-qualified) module name; this match is case-sensitive. The line field matches the line number, where zero matches all line numbers and is thus equivalent to an omitted line number.
Skip the first line of the source, allowing use of non-Unix forms of #!cmd. This is intended for a DOS specific hack only.
The line numbers in error messages will be off by one.
Turns all string literals into unicodes globally. Do not be tempted to use this option as it will probably break your world. It also produces .pyc files with a different magic number than normal. Instead, you can enable unicode literals on a per-module basis by using:
from __future__ import unicode_literals
at the top of the file. See __future__ for details.
Reserved for alternative implementations of Python to use for their own purposes.
These environment variables influence Python’s behavior, they are processed before the command-line switches other than -E. It is customary that command-line switches override environmental variables where there is a conflict.
Change the location of the standard Python libraries. By default, the libraries are searched in prefix/lib/pythonversion and exec_prefix/lib/pythonversion, where prefix and exec_prefix are installation-dependent directories, both defaulting to /usr/local.
Augment the default search path for module files. The format is the same as the shell’s PATH: one or more directory pathnames separated by os.pathsep (e.g. colons on Unix or semicolons on Windows). Non-existent directories are silently ignored.
In addition to normal directories, individual PYTHONPATH entries may refer to zipfiles containing pure Python modules (in either source or compiled form). Extension modules cannot be imported from zipfiles.
An additional directory will be inserted in the search path in front of PYTHONPATH as described above under Interface options. The search path can be manipulated from within a Python program as the variable sys.path.
If this is the name of a readable file, the Python commands in that file are executed before the first prompt is displayed in interactive mode. The file is executed in the same namespace where interactive commands are executed so that objects defined or imported in it can be used without qualification in the interactive session. You can also change the prompts sys.ps1 and sys.ps2 in this file.
Set this to a non-empty string to cause the time module to require dates specified as strings to include 4-digit years, otherwise 2-digit years are converted based on rules described in the time module documentation.
If this is set to a non-empty string it is equivalent to specifying the -i option.
This variable can also be modified by Python code using os.environ to force inspect mode on program termination.
If this is set to a non-empty string it is equivalent to specifying the -u option.
If this is set, Python ignores case in import statements. This only works on Windows, OS X, OS/2, and RiscOS.
If this is set, Python won’t try to write .pyc or .pyo files on the import of source modules. This is equivalent to specifying the -B option.
New in version 2.6.
If this variable is set to random, the effect is the same as specifying the -R option: a random value is used to seed the hashes of str, bytes and datetime objects.
If PYTHONHASHSEED is set to an integer value, it is used as a fixed seed for generating the hash() of the types covered by the hash randomization.
Its purpose is to allow repeatable hashing, such as for selftests for the interpreter itself, or to allow a cluster of python processes to share hash values.
The integer must be a decimal number in the range [0,4294967295]. Specifying the value 0 will lead to the same hash values as when hash randomization is disabled.
New in version 2.6.8.
Overrides the encoding used for stdin/stdout/stderr, in the syntax encodingname:errorhandler. The :errorhandler part is optional and has the same meaning as in str.encode().
New in version 2.6.
New in version 2.6.
New in version 2.6.
If this environment variable is set, sys.argv will be set to its value instead of the value got through the C runtime. Only works on Mac OS X.
Setting these variables only has an effect in a debug build of Python, that is, if Python was configured with the --with-pydebug build option.
If set, Python will print threading debug info.
Changed in version 2.6: Previously, this variable was called THREADDEBUG.
If set, Python will dump objects and reference counts still alive after shutting down the interpreter.
If set, Python will print memory allocation statistics every time a new object arena is created, and on shutdown.