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
.
To cross-compile, you must download the Python source code and cross-compile Python itself for the platform you are targeting - it is not possible from a binary installation of Python (as the . lib etc file for other platforms are not included.)
Python, as a dynamic language, cannot be "compiled" into machine code statically, like C or COBOL can. You'll always need an interpreter to execute the code, which, by definition in the language, is a dynamic operation.
There are two ways you could go about to solve your problem
pyinstaller
, or py2exe
cython
I will explain how you can go about doing it using the second, 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, where as using cython will result in a file that's KBs in size
First, install cython
. Then, rename your python file (say test.py
) into a .pyx
file
sudo pip install cython mv test.py test.pyx
Then, you can use cython
along with GCC to compile it (cython
generates a C file out of a Python .pyx
file, and then GCC compiles the C file)
(in reference to https://stackoverflow.com/a/22040484/5714445)
cython test.pyx --embed gcc -Os -I /usr/include/python3.5m -o test test.c -lpython3.5m -lpthread -lm -lutil -ldl
NOTE: Depending on your version of python, you might have to change the last command. To know which version of python you are using, simply use
$ python -V
You will now have a binary file 'test', which is what you are looking for
Other things to note:
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 flagsIf you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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