Windows script host python

Python Programming On Win32 by Andy Robinson, Mark Hammond

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Windows Scripting Host

Another handy Active Scripting tool is the Windows Scripting Host (WSH). WSH exposes an object model that makes it particularly suitable for tasks that are normally attempted with Windows batch files. WSH is often used for general Windows administration and can run the logon scripts as each user logs on to the network.

The Windows Scripting Host is included with Windows 98 and 2000, or can be obtained from http://msdn.microsoft.com/scripting for Windows 95 and NT. It’s packaged as two executables: cscript.exe , a command-line tool, suitable for running from the Windows command prompt; and wscript.exe , a GUI application generally run from Windows Explorer.

WSH uses simple text files to hold the script code; Python files run under the Windows Scripting Host using the extension .pys. There are no tags or any other special characters needed, so WSH files that use Python are syntactically identical to a Python source file. The only difference is that if the code were executed directly by Python, the object model exposed by WSH is not available.

Version 5 of the Windows Scripting Host supports the objects described in Table 21.2.

The top-level object containing information about the script being executed or the version of WSH, and methods to take specific actions, such as display a message, or create a COM object

An object exposed via Wscript.Arguments that provides .

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Making ActivePython Compatible with Windows Script Host

CPython, which is coded in C, serves as the standard implementation of Python. It compiles the Python language into an intermediate bytecode that a virtual machine can interpret. Meanwhile, PyPy is another implementation of Python, but it is written in the same language it implements.

Getting ActivePython to work with WSH

After installing ActivePython 2.7.2, I attempted to run a .pys script using both wscript and cscript through Microsoft’s WSH (Windows Scripting Host). However, when using wscript, I encountered two errors.

1. Your computer program requires MSVCR90.dll to start, which appears to be missing. You may fix this issue by reinstalling the program.
2. The script labeled engine Python is nowhere to be found.

Despite searching online and installing the Microsoft Visual C++ Redistributable Package (x86) from the official website, I still could not find a solution.

To register python, I attempted running ‘pyscript.py’ located at ‘c:\Python27\Lib\site-packages\win32comext\axscript\client\’ using ‘pythonw’.

Your assistance would be highly valued.

1. Get PyWin32, the Python for Windows Extensions.
2. Register python, \ \ \ \ \ \ C:\YourPythonVersion\Lib\site\-packages\win32comext\axscript\client\pyscript\.py\ \ \ \ \

How to create a Python Distribution like ActivePython?, The Python tarball that results can be run on any Linux including Centos, but the build script itself, needs to be run on a Debian derived system. …

How to create a Python Distribution like ActivePython?

How can I develop a Python distribution similar to ActivePython?

The software is exclusively designed for Centos 5 operating system on Linux. It would be ideal if it could function similarly to ActivePython, where I can simply extract it to a specific location such as an nfs share «/path/to/python» and utilize it for my scripts.

It is a typical situation in enterprise settings where standard server builds are not to be tampered with. For instance, RPMs should not be installed, and /usr/local should not be contaminated.

Although I could easily obtain and utilize ActivePython, my curiosity lies in comprehending the steps involved in developing such distributions.

The EPEL Python 2.6 Packages are not usable by me due to this being the primary issue, which is quite disappointing.

Take a look at the Python build script on github called pybuild by wavetossed. Execute it on a virtual machine of Debian or Ubuntu. The resulting Python tarball can be used on any Linux including Centos version, but the build script itself requires a system derived from Debian.

The build is configured with RUNPATH/RPATH, allowing it to be extracted into any directory. However, it requires a fix to operate correctly. To resolve this, use the included patchelf tool to —set-interpreter, pointing to the new path where the binaries exist. This modification only applies to the python binary and patchelf binaries. Therefore, it is recommended to extract the files into /data1/packages/python272, run patchelf, and then move them to the desired location in the directory tree.

Altering the value of $TARG prior to building it is also an option.

Python or Python3. What is the difference?, 2 Answers. Yes, it will make difference if you have different versions of python installed. This depends on the entries in on the PATH environment …

What is difference between win32com and pywin32?

As someone familiar with Microsoft’s word document object mode, I am interested in using Python as my development language. However, I am unsure about the differences between win32com and pywin32 and have been unable to find a clear answer. Can you provide guidance on which one to use for Python 3.X?

Pywin32 contains the «Component Object Model» known as win32com.

Check out this link as an illustration: http://docs.activestate.com/activepython/2.4/pywin32/html/com/win32com/HTML/QuickStartClientCom.html#Using

pywin32 works with python3.

Difference between CPython, Jython, IronPython, PyPy, The programming language section is one of computer science’s particular elements that has largely evolved. Python is one high-level programming …

What’s the differences python3 and pypy3

Today, I discovered that for any algorithm problem in input() , pypy3 outperforms Python 3 in terms of processing time. The performance gap between the two is as high as 12 times.

Why is there such a difference?

Please review this. When referring to Python programming language, we are not only talking about the language itself but also the implementation. Python which is a language specification capable of implementation through various methods.

The Python programming language is typically implemented using Cpython, which is a programming language that compiles python source code into an intermediate bytecode. This bytecode is then executed by the Cpython virtual machine, as the name suggests.

Jython is a version of Python that can be executed on the Java platform and utilizes Java classes instead of Python modules. It compiles into Java code, which can be executed by the Java virtual machine.

According to Guido van Rossum, if you wish to enhance the speed of your code, PyPy is the solution. Python, which is known to be slow, is a high-level language that works on bytecode, making it slower than native code. This is why PyPy is a better choice.

PyPy, a Python implementation, uses Just In Time (JIT) compilation methods to make the interpreter system more efficient and fast. The Interpreter is written in RPython, a subset of Python, and with JIT, the source code can be compiled into native machine code for faster execution. Additionally, PyPy supports stackless mode, providing micro-threads for massive concurrency, and is reported to be approximately 7.5 times faster than Cpython.

CPython

An interpreter is used for python language that is developed in C and C++. The interpreter converts Interpreter convert python code into machine code that is readable by machines, and this process involves various steps. CPython, written in C, is the standard implementation of Python, written. It compiles code into intermediate bytecode, which is then interpreted by a virtual machine. CPython offers high compatibility with both Python packages and C extension modules. If you want to target the largest possible audience with your open source Python code, it is best to aim for CPython. To utilize packages that depend on C extensions, CPython is the only implementation choice. Since CPython is the reference implementation, all versions of the Python language are implemented in C.

PyPy

PyPy is an interpreter for Python, written in RPython- a restricted statically-typed language. It includes a JIT compiler, which compiles code at runtime just before executing it. PyPy supports multiple back-ends such as C, CLI, and JVM, and aims for maximum compatibility with the reference CPython implementation while improving performance. It’s currently over 5 times faster than CPython on a suite of benchmarks, making it a great option for those looking to optimize their Python code. PyPy supports Python 2.7, while PyPy3 (currently in beta) targets Python 3.

Differences:

PyPy, which includes a JIT compiler, can offer significant speed advantages over the standard CPython. In fact, I observed a 10x increase in speed for one of my mathematical applications when using PyPy.

PyPy has a GIL that functions in a similar way to CPython’s. Although there were efforts to eliminate it, they were unsuccessful. However, PyPy has a distinct garbage collection mechanism that makes it more effective in multithreading.

PyPy, which is known for its compatibility with Python 3.6, often lags behind the standard Python by about six months.

PyPy’s incomplete API support limits the functionality of certain third-party extension modules, rendering them dysfunctional. As an example, a specific version of Numpy was developed solely for PyPy.

PyPy’s garbage collector results in only minor discrepancies in semantics.

It is my understanding that by referring to python3 , you are indicating the default and widely utilized implementation of the Python language, namely CPython .

The C and C++ serves as a medium to interpret Python language into machine code that can be read and understood by computers. This conversion process comprises of multiple steps and requires the use of an interpreter, such as convert python code, which is created and read by humans.

A JIT compiler for Python, coded in RPython , is available. JIT compiler execute code involves runtime compilation of code just before its execution.

The difference in handling python code between the two implementations is the cause of the varying integer speeds. For further information, please refer to the link provided.

Python language has several other implementations that are designed to accomplish varying objectives.

Design of CPython’s Compiler

What is the difference between ‘py’ and ‘python’ in the, On Windows. python is the Python executable of the Python installation which you have selected as a default during the installation. This …

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