When creating an executable file using PyInstaller, how can I bundle a specific Python interpreter and some library from specific versions?
I want to create an executable file from my.py script. My __main__.py
downloads some data from a website and transform them, then saves them in a folder as excel files.
And here are requirements.
For this, I found some related posts but never clear to me. My main .py needs Python3.6 to be executed, and the users of this.exe file won't necessarily have Python3.6, so I want to bundle this Python in the.exe file as well. But is just a single command python3 -m pyinstaller __main__.py
really enough? I'm not confident and I want to know what exactly I need to do.
I think I need to work with pure
in .spec
file as the documentation says "pure: pure python modules needed by the scripts". But I cannot find any documentation about what exactly I need to do make it include pandas==0.23, beautifulsoup4==4.9.1 etc.
Any help would be appreciated!
I do this using virtual environments: if you have an environment with the desired Python version and package versions, you can pip
install PyInstaller there and build the.EXE from that environment.
The Conda version would be:
conda create --name my_env_name python=3.6
conda activate my_env_name
pip install pandas==0.23
pip install beautifulsoup4==4.9.1
pip install pyinstaller
# or to get the developer version, which fixes some issues I have run into
# pip install https://github.com/pyinstaller/pyinstaller/archive/develop.zip
python pyinstaller myscript.py
Having this virtual environment can be a nice control as well for writing/testing your program, as it ensures no other dependencies are needed. Because of this, I tend to only install the necessary packages for the script into the environment.
However, I am not sure how one would do this with venv
, if you do not have Anaconda. But maybe this will still point you in a direction (or someone else can elaborate? also see this post ).
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