is compiled python file under debian is compatible with ubuntu - python

I'm using nuitka to compile my python codes. I use --module option to import my code inside other python files:
nuitka --module --recurse-none file.py
Output: file.so
If I don't need to import the code and just need to run on terminal, I'm following regular compiling process:
nuitka --recurse-none file.py
Output: file.exe
I'm compiling these files under Debian and they work without a problem under Debian. When I move these files to an Ubuntu system, I sometimes get Segmentation Fault errors. Is it because a compiled python code under Debian is not compatible with Ubuntu or am I doing a personal mistake (like missing library etc.)

As answered by abarnert, if you want to make your executable independent from the specific python installation on your device, you need to use the --standalone option.
You can check that info in the Nuitka Manual

Dynamic Linking
From the docs,
It translates the Python into a C level program that then uses "libpython" to execute in the same way as CPython does.
Do you have libpython installed and pointing to the same version as the one you are compiling from? Example, on arch:
$ whereis libpython
libpython: /usr/lib/libpython3.so
Shows I have libpython installed and belonging to python 3.x (notice 3 at end of path).
Static linking.
The other way to do is I guess as suggested by others, i.e, using --standalone option. This should avoid the need of libpython

I'm kind of suspicious that you have your hint right in your question. *.exe is generally a Windows executable, while *.so is a UNIX/Linux reloadable module. Without delving into the manual very far, I notice that in one example you have --module and you get, sure enough, a Linux module. In the other case, you don't. And you don't.

Related

Is there any specified way for makes a executable from python file? [duplicate]

This question already has answers here:
Create a single executable from a Python project [closed]
(3 answers)
Closed 1 year ago.
I'm building a Python application and don't want to force my clients to install Python and modules.
So, is there a way to compile a Python script to be a standalone executable?
You can use PyInstaller to package Python programs as standalone executables. It works on Windows, Linux, and Mac.
PyInstaller Quickstart
Install PyInstaller from PyPI:
pip install pyinstaller
Go to your program’s directory and run:
pyinstaller yourprogram.py
This will generate the bundle in a subdirectory called dist.
pyinstaller -F yourprogram.py
Adding -F (or --onefile) parameter will pack everything into single "exe".
pyinstaller -F --paths=<your_path>\Lib\site-packages yourprogram.py
running into "ImportError" you might consider side-packages.
pip install pynput==1.6.8
still runing in Import-Erorr - try to downgrade pyinstaller - see Getting error when using pynput with pyinstaller
For a more detailed walkthrough, see the manual.
You can use py2exe as already answered and use Cython to convert your key .py files in .pyc, C compiled files, like .dll in Windows and .so on Linux.
It is much harder to revert than common .pyo and .pyc files (and also gain in performance!).
You might wish to investigate Nuitka. It takes Python source code and converts it in to C++ API calls. Then it compiles into an executable binary (ELF on Linux). It has been around for a few years now and supports a wide range of Python versions.
You will probably also get a performance improvement if you use it. It is recommended.
Yes, it is possible to compile Python scripts into standalone executables.
PyInstaller can be used to convert Python programs into stand-alone executables, under Windows, Linux, Mac OS X, FreeBSD, Solaris, and AIX. It is one of the recommended converters.
py2exe converts Python scripts into only executable on the Windows platform.
Cython is a static compiler for both the Python programming language and the extended Cython programming language.
I would like to compile some useful information about creating standalone files on Windows using Python 2.7.
I have used py2exe and it works, but I had some problems.
It has shown some problems for creating single files in Windows 64 bits: Using bundle_files = 1 with py2exe is not working;
It is necessary to create a setup.py file for it to work. http://www.py2exe.org/index.cgi/Tutorial#Step2;
I have had problems with dependencies that you have to solve by importing packages in the setup file;
I was not able to make it work together with PyQt.
This last reason made me try PyInstaller http://www.pyinstaller.org/.
In my opinion, it is much better because:
It is easier to use.
I suggest creating a .bat file with the following lines for example (pyinstaller.exe must be in in the Windows path):
pyinstaller.exe --onefile MyCode.py
You can create a single file, among other options (https://pyinstaller.readthedocs.io/en/stable/usage.html#options).
I had only one problem using PyInstaller and multiprocessing package that was solved by using this recipe: https://github.com/pyinstaller/pyinstaller/wiki/Recipe-Multiprocessing.
So, I think that, at least for python 2.7, a better and simpler option is PyInstaller.
And a third option is cx_Freeze, which is cross-platform.
pyinstaller yourfile.py -F --onefile
This creates a standalone EXE file on Windows.
Important note 1: The EXE file will be generated in a folder named 'dist'.
Important note 2: Do not forget --onefile flag
You can install PyInstaller using pip install PyInstaller
NOTE: In rare cases there are hidden dependencies...so if you run the EXE file and get missing library error (win32timezone in the example below) then use something like this:
pyinstaller --hiddenimport win32timezone -F "Backup Program.py"
I like PyInstaller - especially the "windowed" variant:
pyinstaller --onefile --windowed myscript.py
It will create one single *.exe file in a distination/folder.
You may like py2exe. You'll also find information in there for doing it on Linux.
Use py2exe.... use the below set up files:
from distutils.core import setup
import py2exe
from distutils.filelist import findall
import matplotlib
setup(
console = ['PlotMemInfo.py'],
options = {
'py2exe': {
'packages': ['matplotlib'],
'dll_excludes': ['libgdk-win32-2.0-0.dll',
'libgobject-2.0-0.dll',
'libgdk_pixbuf-2.0-0.dll']
}
},
data_files = matplotlib.get_py2exe_datafiles()
)
I also recommend PyInstaller for better backward compatibility such as Python 2.3 - 2.7.
For py2exe, you have to have Python 2.6.
For Python 3.2 scripts, the only choice is cx_Freeze. Build it from sources; otherwise it won't work.
For Python 2.x I suggest PyInstaller as it can package a Python program in a single executable, unlike cx_Freeze which outputs also libraries.
Since it seems to be missing from the current list of answers, I think it is worth mentioning that the standard library includes a zipapp module that can be used for this purpose. Its basic usage is just compressing a bunch of Python files into a zip file with extension .pyz than can be directly executed as python myapp.pyz, but you can also make a self-contained package from a requirements.txt file:
$ python -m pip install -r requirements.txt --target myapp
$ python -m zipapp -p "interpreter" myapp
Where interpreter can be something like /usr/bin/env python (see Specifying the Interpreter).
Usually, the generated .pyz / .pyzw file should be executable, in Unix because it gets marked as such and in Windows because Python installation usually registers those extensions. However, it is relatively easy to make a Windows executable that should work as long as the user has python3.dll in the path.
If you don't want to require the end user to install Python, you can distribute the application along with the embeddable Python package.
py2exe will make the EXE file you want, but you need to have the same version of MSVCR90.dll on the machine you're going to use your new EXE file.
See Tutorial for more information.
You can find the list of distribution utilities listed at Distribution Utilities.
I use bbfreeze and it has been working very well (yet to have Python 3 support though).
Not exactly a packaging of the Python code, but there is now also Grumpy from Google, which transpiles the code to Go.
It doesn't support the Python C API, so it may not work for all projects.
Using PyInstaller, I found a better method using shortcut to the .exe rather than making --onefile. Anyway, there are probably some data files around and if you're running a site-based app then your program depends on HTML, JavaScript, and CSS files too. There isn't any point in moving all these files somewhere... Instead what if we move the working path up?
Make a shortcut to the EXE file, move it at top and set the target and start-in paths as specified, to have relative paths going to dist\folder:
Target: %windir%\system32\cmd.exe /c start dist\web_wrapper\web_wrapper.exe
Start in: "%windir%\system32\cmd.exe /c start dist\web_wrapper\"
We can rename the shortcut to anything, so renaming to "GTFS-Manager".
Now when I double-click the shortcut, it's as if I python-ran the file! I found this approach better than the --onefile one as:
In onefile's case, there's a problem with a .dll missing for the Windows 7 OS which needs some prior installation, etc. Yawn. With the usual build with multiple files, no such issues.
All the files that my Python script uses (it's deploying a tornado web server and needs a whole freakin' website worth of files to be there!) don't need to be moved anywhere: I simply create the shortcut at top.
I can actually use this exact same folder on Ubuntu (run python3 myfile.py) and Windows (double-click the shortcut).
I don't need to bother with the overly complicated hacking of .spec file to include data files, etc.
Oh, remember to delete off the build folder after building. It will save on size.
Use Cython to convert to C, compile, and link with GCC.
Another could be, make the core functions in C (the ones you want to make hard to reverse), compile them and use Boost.Python to import the compiled code (plus you get a much faster code execution). Then use any tool mentioned to distribute.
I'm told that PyRun is also an option. It currently supports Linux, FreeBSD and Mac OS X.

Run python .exe on any computer [duplicate]

This question already has answers here:
Create a single executable from a Python project [closed]
(3 answers)
Closed 1 year ago.
I'm building a Python application and don't want to force my clients to install Python and modules.
So, is there a way to compile a Python script to be a standalone executable?
You can use PyInstaller to package Python programs as standalone executables. It works on Windows, Linux, and Mac.
PyInstaller Quickstart
Install PyInstaller from PyPI:
pip install pyinstaller
Go to your program’s directory and run:
pyinstaller yourprogram.py
This will generate the bundle in a subdirectory called dist.
pyinstaller -F yourprogram.py
Adding -F (or --onefile) parameter will pack everything into single "exe".
pyinstaller -F --paths=<your_path>\Lib\site-packages yourprogram.py
running into "ImportError" you might consider side-packages.
pip install pynput==1.6.8
still runing in Import-Erorr - try to downgrade pyinstaller - see Getting error when using pynput with pyinstaller
For a more detailed walkthrough, see the manual.
You can use py2exe as already answered and use Cython to convert your key .py files in .pyc, C compiled files, like .dll in Windows and .so on Linux.
It is much harder to revert than common .pyo and .pyc files (and also gain in performance!).
You might wish to investigate Nuitka. It takes Python source code and converts it in to C++ API calls. Then it compiles into an executable binary (ELF on Linux). It has been around for a few years now and supports a wide range of Python versions.
You will probably also get a performance improvement if you use it. It is recommended.
Yes, it is possible to compile Python scripts into standalone executables.
PyInstaller can be used to convert Python programs into stand-alone executables, under Windows, Linux, Mac OS X, FreeBSD, Solaris, and AIX. It is one of the recommended converters.
py2exe converts Python scripts into only executable on the Windows platform.
Cython is a static compiler for both the Python programming language and the extended Cython programming language.
I would like to compile some useful information about creating standalone files on Windows using Python 2.7.
I have used py2exe and it works, but I had some problems.
It has shown some problems for creating single files in Windows 64 bits: Using bundle_files = 1 with py2exe is not working;
It is necessary to create a setup.py file for it to work. http://www.py2exe.org/index.cgi/Tutorial#Step2;
I have had problems with dependencies that you have to solve by importing packages in the setup file;
I was not able to make it work together with PyQt.
This last reason made me try PyInstaller http://www.pyinstaller.org/.
In my opinion, it is much better because:
It is easier to use.
I suggest creating a .bat file with the following lines for example (pyinstaller.exe must be in in the Windows path):
pyinstaller.exe --onefile MyCode.py
You can create a single file, among other options (https://pyinstaller.readthedocs.io/en/stable/usage.html#options).
I had only one problem using PyInstaller and multiprocessing package that was solved by using this recipe: https://github.com/pyinstaller/pyinstaller/wiki/Recipe-Multiprocessing.
So, I think that, at least for python 2.7, a better and simpler option is PyInstaller.
And a third option is cx_Freeze, which is cross-platform.
pyinstaller yourfile.py -F --onefile
This creates a standalone EXE file on Windows.
Important note 1: The EXE file will be generated in a folder named 'dist'.
Important note 2: Do not forget --onefile flag
You can install PyInstaller using pip install PyInstaller
NOTE: In rare cases there are hidden dependencies...so if you run the EXE file and get missing library error (win32timezone in the example below) then use something like this:
pyinstaller --hiddenimport win32timezone -F "Backup Program.py"
I like PyInstaller - especially the "windowed" variant:
pyinstaller --onefile --windowed myscript.py
It will create one single *.exe file in a distination/folder.
You may like py2exe. You'll also find information in there for doing it on Linux.
Use py2exe.... use the below set up files:
from distutils.core import setup
import py2exe
from distutils.filelist import findall
import matplotlib
setup(
console = ['PlotMemInfo.py'],
options = {
'py2exe': {
'packages': ['matplotlib'],
'dll_excludes': ['libgdk-win32-2.0-0.dll',
'libgobject-2.0-0.dll',
'libgdk_pixbuf-2.0-0.dll']
}
},
data_files = matplotlib.get_py2exe_datafiles()
)
I also recommend PyInstaller for better backward compatibility such as Python 2.3 - 2.7.
For py2exe, you have to have Python 2.6.
For Python 3.2 scripts, the only choice is cx_Freeze. Build it from sources; otherwise it won't work.
For Python 2.x I suggest PyInstaller as it can package a Python program in a single executable, unlike cx_Freeze which outputs also libraries.
Since it seems to be missing from the current list of answers, I think it is worth mentioning that the standard library includes a zipapp module that can be used for this purpose. Its basic usage is just compressing a bunch of Python files into a zip file with extension .pyz than can be directly executed as python myapp.pyz, but you can also make a self-contained package from a requirements.txt file:
$ python -m pip install -r requirements.txt --target myapp
$ python -m zipapp -p "interpreter" myapp
Where interpreter can be something like /usr/bin/env python (see Specifying the Interpreter).
Usually, the generated .pyz / .pyzw file should be executable, in Unix because it gets marked as such and in Windows because Python installation usually registers those extensions. However, it is relatively easy to make a Windows executable that should work as long as the user has python3.dll in the path.
If you don't want to require the end user to install Python, you can distribute the application along with the embeddable Python package.
py2exe will make the EXE file you want, but you need to have the same version of MSVCR90.dll on the machine you're going to use your new EXE file.
See Tutorial for more information.
You can find the list of distribution utilities listed at Distribution Utilities.
I use bbfreeze and it has been working very well (yet to have Python 3 support though).
Not exactly a packaging of the Python code, but there is now also Grumpy from Google, which transpiles the code to Go.
It doesn't support the Python C API, so it may not work for all projects.
Using PyInstaller, I found a better method using shortcut to the .exe rather than making --onefile. Anyway, there are probably some data files around and if you're running a site-based app then your program depends on HTML, JavaScript, and CSS files too. There isn't any point in moving all these files somewhere... Instead what if we move the working path up?
Make a shortcut to the EXE file, move it at top and set the target and start-in paths as specified, to have relative paths going to dist\folder:
Target: %windir%\system32\cmd.exe /c start dist\web_wrapper\web_wrapper.exe
Start in: "%windir%\system32\cmd.exe /c start dist\web_wrapper\"
We can rename the shortcut to anything, so renaming to "GTFS-Manager".
Now when I double-click the shortcut, it's as if I python-ran the file! I found this approach better than the --onefile one as:
In onefile's case, there's a problem with a .dll missing for the Windows 7 OS which needs some prior installation, etc. Yawn. With the usual build with multiple files, no such issues.
All the files that my Python script uses (it's deploying a tornado web server and needs a whole freakin' website worth of files to be there!) don't need to be moved anywhere: I simply create the shortcut at top.
I can actually use this exact same folder on Ubuntu (run python3 myfile.py) and Windows (double-click the shortcut).
I don't need to bother with the overly complicated hacking of .spec file to include data files, etc.
Oh, remember to delete off the build folder after building. It will save on size.
Use Cython to convert to C, compile, and link with GCC.
Another could be, make the core functions in C (the ones you want to make hard to reverse), compile them and use Boost.Python to import the compiled code (plus you get a much faster code execution). Then use any tool mentioned to distribute.
I'm told that PyRun is also an option. It currently supports Linux, FreeBSD and Mac OS X.

Is there a way to compile a python application into static binary?

What I'm trying to do is ship my code to a remote server, that may have different python version installed and/or may not have packages my app requires.
Right now to achieve such portability I have to build relocatable virtualenv with interpreter and code. That approach has some issues (for example, you have to manually copy a bunch of libraries into your virtualenv, since --always-copy doesn't work as expected) and generally slow.
There's (in theory) a way to build python itself statically.
I wonder if I could pack interpreter with my code into one binary and run my application as module. Something like that: ./mypython -m myapp run or ./mypython -m gunicorn -c ./gunicorn.conf myapp.wsgi:application.
There are two ways you could go about to solve your problem
Use a static builder, like freeze, or pyinstaller, or py2exe
Compile using cython
This answer explains how you can go about doing it using the second approach, since the first method is not cross platform and version, and has been explained in other answers. Also, using programs like pyinstaller typically results in huge file sizes, while using cython will result in a file that's much smaller
First, install cython.
sudo -H pip3 install cython
Then, you can use cython to generate a C file out of the Python .py file
(in reference to https://stackoverflow.com/a/22040484/5714445)
cython example_file.py --embed
Use GCC to compile it after getting your current python version (Note: The below assumes you are trying to compile it to Python3)
PYTHONLIBVER=python$(python3 -c 'import sys; print(".".join(map(str, sys.version_info[:2])))')$(python3-config --abiflags)
gcc -Os $(python3-config --includes) example_file.c -o output_bin_file $(python3-config --ldflags) -l$PYTHONLIBVER
You will now have a binary file output_bin_file, which is what you are looking for
Other things to note:
Change example_file.py to whatever file you are actually trying to compile.
Cython is used to use C-Type Variable definitions for static memory allocation to speed up Python programs. In your case however, you will still be using traditional Python definitions.
If you are using additional libraries (like opencv, for example), you might have to provide the directory to them using -L and then specify the name of the library using -l in the GCC Flags. For more information on this, please refer to GCC flags
The above method might not work for anaconda python, as you will likely have to install a version of gcc that is compatible with your conda-python.
You might wish to investigate Nuitka. It takes python source code and converts it in to C++ API calls. Then it compiles into an executable binary (ELF on Linux). It has been around for a few years now and supports a wide range of Python versions.
You will probably also get a performance improvement if you use it. Recommended.
You're probably looking for something like Freeze, which is able to compile your Python application with all its libraries into a static binary:
PyPi page of Freeze
Python Wiki page of Freeze
Sourceforge page of Freeze
If you are on a Mac you can use py2app to create a .app bundle, which starts your Django app when you double-click on it.
I described how to bundle Django and CherryPy into such a bundle at https://moosystems.com/articles/14-distribute-django-app-as-native-desktop-app-01.html
In the article I use pywebview to display your Django site in a local application window.
Freeze options:
https://pypi.python.org/pypi/bbfreeze/1.1.3
http://cx-freeze.sourceforge.net/
However, your target server should have the environment you want -> you should be able to 'create' it. If it doesn't, you should build your software to match the environment.
I found this handy guide on how to install custom version of python to a virtualenv, assuming you have ssh access: https://stackoverflow.com/a/5507373/5616110
In virtualenv, you should be able to pip install anything and you shouldn't need to worry about sudo privileges. Of course, having those and access to package manager like apt makes everything a lot easier.
I have created a docker image that relies on Nuitka and a custom statically linked python3.10 to create a static binary.
Did not test it extensively, if you have the chance please let me know if it works for your use case.
You can check it at:
https://github.com/joaompinto/docker-build-python-static-bin

How to Destribute python and openCV based tool as single setup file with all the dependencies [duplicate]

This question already has answers here:
Create a single executable from a Python project [closed]
(3 answers)
Closed 1 year ago.
I'm building a Python application and don't want to force my clients to install Python and modules.
So, is there a way to compile a Python script to be a standalone executable?
You can use PyInstaller to package Python programs as standalone executables. It works on Windows, Linux, and Mac.
PyInstaller Quickstart
Install PyInstaller from PyPI:
pip install pyinstaller
Go to your program’s directory and run:
pyinstaller yourprogram.py
This will generate the bundle in a subdirectory called dist.
pyinstaller -F yourprogram.py
Adding -F (or --onefile) parameter will pack everything into single "exe".
pyinstaller -F --paths=<your_path>\Lib\site-packages yourprogram.py
running into "ImportError" you might consider side-packages.
pip install pynput==1.6.8
still runing in Import-Erorr - try to downgrade pyinstaller - see Getting error when using pynput with pyinstaller
For a more detailed walkthrough, see the manual.
You can use py2exe as already answered and use Cython to convert your key .py files in .pyc, C compiled files, like .dll in Windows and .so on Linux.
It is much harder to revert than common .pyo and .pyc files (and also gain in performance!).
You might wish to investigate Nuitka. It takes Python source code and converts it in to C++ API calls. Then it compiles into an executable binary (ELF on Linux). It has been around for a few years now and supports a wide range of Python versions.
You will probably also get a performance improvement if you use it. It is recommended.
Yes, it is possible to compile Python scripts into standalone executables.
PyInstaller can be used to convert Python programs into stand-alone executables, under Windows, Linux, Mac OS X, FreeBSD, Solaris, and AIX. It is one of the recommended converters.
py2exe converts Python scripts into only executable on the Windows platform.
Cython is a static compiler for both the Python programming language and the extended Cython programming language.
I would like to compile some useful information about creating standalone files on Windows using Python 2.7.
I have used py2exe and it works, but I had some problems.
It has shown some problems for creating single files in Windows 64 bits: Using bundle_files = 1 with py2exe is not working;
It is necessary to create a setup.py file for it to work. http://www.py2exe.org/index.cgi/Tutorial#Step2;
I have had problems with dependencies that you have to solve by importing packages in the setup file;
I was not able to make it work together with PyQt.
This last reason made me try PyInstaller http://www.pyinstaller.org/.
In my opinion, it is much better because:
It is easier to use.
I suggest creating a .bat file with the following lines for example (pyinstaller.exe must be in in the Windows path):
pyinstaller.exe --onefile MyCode.py
You can create a single file, among other options (https://pyinstaller.readthedocs.io/en/stable/usage.html#options).
I had only one problem using PyInstaller and multiprocessing package that was solved by using this recipe: https://github.com/pyinstaller/pyinstaller/wiki/Recipe-Multiprocessing.
So, I think that, at least for python 2.7, a better and simpler option is PyInstaller.
And a third option is cx_Freeze, which is cross-platform.
pyinstaller yourfile.py -F --onefile
This creates a standalone EXE file on Windows.
Important note 1: The EXE file will be generated in a folder named 'dist'.
Important note 2: Do not forget --onefile flag
You can install PyInstaller using pip install PyInstaller
NOTE: In rare cases there are hidden dependencies...so if you run the EXE file and get missing library error (win32timezone in the example below) then use something like this:
pyinstaller --hiddenimport win32timezone -F "Backup Program.py"
I like PyInstaller - especially the "windowed" variant:
pyinstaller --onefile --windowed myscript.py
It will create one single *.exe file in a distination/folder.
You may like py2exe. You'll also find information in there for doing it on Linux.
Use py2exe.... use the below set up files:
from distutils.core import setup
import py2exe
from distutils.filelist import findall
import matplotlib
setup(
console = ['PlotMemInfo.py'],
options = {
'py2exe': {
'packages': ['matplotlib'],
'dll_excludes': ['libgdk-win32-2.0-0.dll',
'libgobject-2.0-0.dll',
'libgdk_pixbuf-2.0-0.dll']
}
},
data_files = matplotlib.get_py2exe_datafiles()
)
I also recommend PyInstaller for better backward compatibility such as Python 2.3 - 2.7.
For py2exe, you have to have Python 2.6.
For Python 3.2 scripts, the only choice is cx_Freeze. Build it from sources; otherwise it won't work.
For Python 2.x I suggest PyInstaller as it can package a Python program in a single executable, unlike cx_Freeze which outputs also libraries.
Since it seems to be missing from the current list of answers, I think it is worth mentioning that the standard library includes a zipapp module that can be used for this purpose. Its basic usage is just compressing a bunch of Python files into a zip file with extension .pyz than can be directly executed as python myapp.pyz, but you can also make a self-contained package from a requirements.txt file:
$ python -m pip install -r requirements.txt --target myapp
$ python -m zipapp -p "interpreter" myapp
Where interpreter can be something like /usr/bin/env python (see Specifying the Interpreter).
Usually, the generated .pyz / .pyzw file should be executable, in Unix because it gets marked as such and in Windows because Python installation usually registers those extensions. However, it is relatively easy to make a Windows executable that should work as long as the user has python3.dll in the path.
If you don't want to require the end user to install Python, you can distribute the application along with the embeddable Python package.
py2exe will make the EXE file you want, but you need to have the same version of MSVCR90.dll on the machine you're going to use your new EXE file.
See Tutorial for more information.
You can find the list of distribution utilities listed at Distribution Utilities.
I use bbfreeze and it has been working very well (yet to have Python 3 support though).
Not exactly a packaging of the Python code, but there is now also Grumpy from Google, which transpiles the code to Go.
It doesn't support the Python C API, so it may not work for all projects.
Using PyInstaller, I found a better method using shortcut to the .exe rather than making --onefile. Anyway, there are probably some data files around and if you're running a site-based app then your program depends on HTML, JavaScript, and CSS files too. There isn't any point in moving all these files somewhere... Instead what if we move the working path up?
Make a shortcut to the EXE file, move it at top and set the target and start-in paths as specified, to have relative paths going to dist\folder:
Target: %windir%\system32\cmd.exe /c start dist\web_wrapper\web_wrapper.exe
Start in: "%windir%\system32\cmd.exe /c start dist\web_wrapper\"
We can rename the shortcut to anything, so renaming to "GTFS-Manager".
Now when I double-click the shortcut, it's as if I python-ran the file! I found this approach better than the --onefile one as:
In onefile's case, there's a problem with a .dll missing for the Windows 7 OS which needs some prior installation, etc. Yawn. With the usual build with multiple files, no such issues.
All the files that my Python script uses (it's deploying a tornado web server and needs a whole freakin' website worth of files to be there!) don't need to be moved anywhere: I simply create the shortcut at top.
I can actually use this exact same folder on Ubuntu (run python3 myfile.py) and Windows (double-click the shortcut).
I don't need to bother with the overly complicated hacking of .spec file to include data files, etc.
Oh, remember to delete off the build folder after building. It will save on size.
Use Cython to convert to C, compile, and link with GCC.
Another could be, make the core functions in C (the ones you want to make hard to reverse), compile them and use Boost.Python to import the compiled code (plus you get a much faster code execution). Then use any tool mentioned to distribute.
I'm told that PyRun is also an option. It currently supports Linux, FreeBSD and Mac OS X.

Install GVIM on windows with Python3 support?

How do I install GVIM for Windows with Python3 support? I have installed VIM 7.4 which says in it's version file (run :version command) "+python3/dyn" and "-DDYNAMIC_PYTHON3_DLL=\"python32.dll\". So it looks like it's ready to support Python 3. When I run
:echo has("python3")
it returns zero. And if I test with
:py3 print("hello")
it says it cannot load python32.dll.
Here is an approach that I used to get VIM 7.x to work with Python 3.x.
Install a VIM of your preference. Suggestion: get the latest version from VIM.org, though this site seems to have only 32-bit versions. If you want 64-bit (my preference) get a pre-built at https://bintray.com/veegee/generic/vim_x64 or choose your own pre-built elsewhere, or build your own.
Type the command :py3 print("hello")
It probably will not find the python dll, in which case it gives an error message like cannot load pythonXX.dll where XX is a two-digit number. In my case, VIM was looking for python35.dll, which comes from Python 3.5.1 (and probably any Python 3.5.x). The number will vary depending on the version of VIM you use.
Go find a matching Python distribution. Matching means that both VIM and Python must be either 32-bit or 64-bit, and the DLL that VIM wants (in step 3) is present. So for example, it appears that Python 3.5.x provides python35.dll. Install it.
I don't recall having to do anything special to get VIM to find the python DLL, other than ensuring that the directory it is in should be in the path, and I think it already was. If not, add the directory with the DLL to your path.
Retry step 2. It should work now.
If in the future you upgrade VIM or Python, you may need to upgrade the other one at the same time, to ensure that the test in step 2 still works.
The problem that makes this question so hard is that specific solutions very quickly become obsolete. The day the solution is posted the version of vim or python is updated or links change. The steps provided by #mark-colon are fantastic but oriented for vim-7.
Generic instructions:
vim and python need to be in sync on many different levels:
Both need to be 32bit or 64bit
Vim needs to find a specific python dll version. It depends on who compiled your version of gvim. For example, gvim-8.1.x may use python3.6 or python3.7 and the exact version is required! Sometimes you can use: gvim --version to see what specific dll is being searched by vim at launch, otherwise you need to find out from where you downloaded gvim. This is the version of python that you must search the internet and install on your system. (Alternatively, if the version of python is more important to you than the version of vim, you can try to find a version of vim that was compiled for python but this will be harder to find.)
Make sure the directory that holds the python dll needs to be on the %PATH% environment variable. (Note: some just copying the python dll to the $VIM folder to get things working only works in the short term. You don't have all the necessary python libraries that are often assumed to be available.)
Finally, verify with ex command :python2 print("hello") or :python3 print("hello") depending on what version of python you wanted.
Specific links (if you must):
Note: these will all soon be out of date, but the following are some links to various compiled versions of gvim and python that could work together:
For gvim-8.1.x & python-3.7.x or python-2.7.x as of 2018-08:
https://tuxproject.de/projects/vim/
http://winpython.github.io/ or https://www.python.org/downloads
For gvim-8.1.x & python-3.6.x or python-2.7.x as of 2018-08:
https://github.com/vim/vim-win32-installer/releases
https://www.python.org/downloads
For gvim-7.4.x & python-3.5.x or python-2.7.x as of 2018-08:
https://bintray.com/veegee/generic/vim_x64
https://www.python.org/downloads
Unfortunately this took me a day to figure out. Here's the simplest way to remedy this problem, if you are looking to have Python3 support with GVIM 7.3+ on Windows.
I am running 64-bit Windows 8, but, make sure you grab a 32-bit version of Python. You will most likely have a 32-bit version of GVIM by default, and those 2 need to match. Specifically, grab a 3.2.x version of Python3 because that's what VIM is looking for as far as a DLL is concerned (python32.dll). Don't bother with the latest version of Python 3, 3.4.0 at the time of writing; and if you do need that, then I'm not sure how to help.
Once you have Python 3.2.x installed, make sure you do this last tricky part:
The python32.dll is not placed in system32 folder, it is actually in the C:\Windows\SysWOW64 folder. You need to add "C:\Windows\SysWOW64" to your PATH environment variable.
Now re-try your python3 tests in GVIM and it should be successful.
I use Haroogan's compiled version, it's great and has a 64-bit version for windows.
EDIT:
veegee's version seems to be a good alternative. Thanks to Markus Meskanen in the comment.
I have tested that you should use the same architecture for both vim and python.
see https://vi.stackexchange.com/questions/11004/how-to-get-python-support
If you just need python feature in vim, download python36.dll and put in $VIM and verify by :echo has('python3')

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