Python Runner Windows
You may need to change this command as follows throughout this section. On most Mac OS X systems, replace./python with./python.exe. On Windows, use python.bat. If using Python 2.7, replace test with test.regrtest. If you don’t have easy access to a command line, you can run the test suite from a Python or IDLE shell:. Fortunately, python has the “Python for Windows Extensions” package known as pywin32 that allows us to easily access Window’s Component Object Model (COM) and control Microsoft applications via python. This article will cover some basic use cases for this type of automation and how to get up and running with some useful scripts. Today the Windows team announced the May 2019 Update for Windows 10.In this post we’re going to look at what we, Microsoft’s Python team, have done to make Python easier to install on Windows by helping the community publish to the Microsoft Store and, in collaboration with Windows, adding a default “python.exe” command to help find it. Opening Up Wordpad. The code below shows how to open up Wordpad on a Windows computer. Import subprocess subprocess.Popen ('C:WindowsSystem32write.exe') The code above will open up Wordpad on a Windows computer. And there are many other. Manually Locate Where Python is Installed. Alternatively, you can manually locate where Python is installed by typing ‘Python’ in the Windows Search Bar: Right-click on the Python App, and then select “Open file location” as captured below: Right-click on the Python shortcut, and then select Properties: Click on “Open File Location“.
Welcome to Python Run Shell Command On Windows tutorial. In this tutorial, you will learn, how to run shell command in python. So let’s move forward.
Python Run Shell Command On Windows
What is Shell ?
- In computer science shell is generally seen as a piece of software that provides an interface for a user to some other software or the operating system.
- So the shell can be an interface between the operating system and the services of the kernel of this operating system

Python Modules For Running Shell command
Python provides lots of modules for executing different operations related to operating system.
Generally there are two important modules which are used to run shell command in python.
- Subprocess module
- OS module
Python Run Shell Command Using Subprocess module
The subprocess module allows you to spawn new processes, connect to their input/output/error pipes, and obtain their return codes. This module intends to replace several older modules and functions:
- os.system
- os.spawn*
- os.popen*
- popen2.*
- commands.*
The subprocess module allows users to communicate from their Python script to a terminal like bash or cmd.exe.
Now we will see different functions of subprocess module.
subprocess.call()
call() method create a separate process and run provided command in this process.
Write the following code to implement call() method of subprocess module.
2 4 | importsubprocess |
In this example, we will create a process for dir command
It’s output will be as follows.
subprocess.check_output()
check_output()is used to capture the output for later processing. So let’s see how it works.
2 4 | importsubprocess print(output) |
Output
Python Run Shell Command Using OS module
The OS module is used to interact with underlying operating system in several different ways.
OS is an python built-in module so we don’t need to install any third party module. The os module allows platform independent programming by providing abstract methods.
Executing Shell scripts with os.system()
The most straight forward approach to run a shell command is by using os.system().
2 4 | importos |
Capturing Output
The problem with this approach is in its inflexibility since you can’t even get the resulting output as a variable. os.system() doesn’t return the result of the called shell commands. So if you want to capture output then you have to use os.popen() method.
The os.popen() command opens a pipe from or to the command line. This means that we can access the stream within Python. This is useful since you can now get the output as a variable. Now let’s see it practically, so write the following code.
2 4 | importos print(output) |
- Here i used readlines() function, which splits each line (including a trailing n).
- You can also use read() method which will get the whole output as one string.
Now it’s output will be as follows.
So guys, that’s it for Python Run Shell Command On Windows tutorial. I hope it is helpful for you and if you have any query regarding this post then ask your questions in comment section. Thanks Everyone.
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Note
This document assumes you are working from anin-development checkout of Python. If youare not then some things presented here may not work as they may dependon new features not available in earlier versions of Python.
Running¶
The shortest, simplest way of running the test suite is the following commandfrom the root directory of your checkout (after you havebuilt Python):
You may need to change this command as follows throughout this section.On most Mac OS X systems, replace ./python
with ./python.exe
. On Windows, use python.bat
. If usingPython 2.7, replace test
with test.regrtest
.
If you don’t have easy access to a command line, you can run the test suite froma Python or IDLE shell:
This will run the majority of tests, but exclude a small portion of them; theseexcluded tests use special kinds of resources: for example, accessing theInternet, or trying to play a sound or to display a graphical interface onyour desktop. They are disabled by default so that running the test suiteis not too intrusive. To enable some of these additional tests (and forother flags which can help debug various issues such as reference leaks), readthe help text:
If you want to run a single test file, simply specify the test file name(without the extension) as an argument. You also probably want to enableverbose mode (using -v
), so that individual failures are detailed:
To run a single test case, use the unittest
module, providing the importpath to the test case:
If you have a multi-core or multi-CPU machine, you can enable parallel testingusing several Python processes so as to speed up things:
If you are running a version of Python prior to 3.3 you must specify the numberof processes to run simultaneously (e.g. -j2
).
Finally, if you want to run tests under a more strenuous set of settings, youcan run test
as:
The various extra flags passed to Python cause it to be much stricter aboutvarious things (the -Wd
flag should be -Werror
at some point, but thetest suite has not reached a point where all warnings have been dealt with andso we cannot guarantee that a bug-free Python will properly complete a test runwith -Werror
). The -r
flag to the test runner causes it to run tests ina more random order which helps to check that the various tests do not interferewith each other. The -w
flag causes failing tests to be run again to seeif the failures are transient or consistent.The -uall
flag allows the use of all availableresources so as to not skip tests requiring, e.g., Internet access.
To check for reference leaks (only needed if you modified C code), use the-R
flag. For example, -R3:2
will first run the test 3 times to settledown the reference count, and then run it 2 more times to verify if there areany leaks.
You can also execute the Tools/scripts/run_tests.py
script as found in aCPython checkout. The script tries to balance speed with thoroughness. But ifyou want the most thorough tests you should use the strenuous approach shownabove.
Unexpected Skips¶
Sometimes when running the test suite, you will see “unexpected skips”reported. These represent cases where an entire test module has beenskipped, but the test suite normally expects the tests in that module tobe executed on that platform.
Often, the cause is that an optional module hasn’t been built due to missingbuild dependencies. In these cases, the missing module reported when the testis skipped should match one of the modules reported as failing to build whenCompile and build.
In other cases, the skip message should provide enough detail to help figureout and resolve the cause of the problem (for example, the default securitysettings on some platforms will disallow some tests)
Writing¶
Writing tests for Python is much like writing tests for your own code. Testsneed to be thorough, fast, isolated, consistently repeatable, and as simple aspossible. We try to have tests both for normal behaviour and for errorconditions. Tests live in the Lib/test
directory, where every file thatincludes tests has a test_
prefix.
One difference with ordinary testing is that you are encouraged to rely on thetest.support
module. It contains various helpers that are tailored toPython’s test suite and help smooth out common problems such as platformdifferences, resource consumption and cleanup, or warnings management.That module is not suitable for use outside of the standard library.
When you are adding tests to an existing test file, it is also recommendedthat you study the other tests in that file; it will teach you which precautionsyou have to take to make your tests robust and portable.
Benchmarks¶
Benchmarking is useful to test that a change does not degrade performance.
Python Runner Windows 10

Python Runner Windows 10
The Python Benchmark Suitehas a collection of benchmarks for all Python implementations. Documentationabout running the benchmarks is in the README.txt of the repo.