Move all Python packages to new computer (same versions)
Question:
I need to mirror all my Python settings and modules on Computer A vs Computer B.
I could list all packages/modules in computer A using pip list and then install them on computer B one by one – but there are literally ~ 100s of packages.
Is there a better/quicker way to achieve this?
In addition:
1) When overwriting previous installations, for example, do I have to use pip install --force-reinstall "pandas==0.23.0"?
2) Is there a way to exclude selected packages (some personal, redundant modules)?
Both machines are Windows and run the same Python version.
Answers:
On the old system
pip freeze >frozen.txt
Then copy the output file to the destination system and
pip install -r frozen.txt
You can’t have both detailed control and quick convenience; if you want more control, manually prune the file before installing the packages.
A common convention is to manually add the packages which your code directly depends on to a file called requirements.txt; then just run pip install -r requirements.txt on the destination system.
Rather than have an endlessly raging battle between packages with different and possibly conflicting requirements, explore using a virtual environment for each.
I need to mirror all my Python settings and modules on Computer A vs Computer B.
I could list all packages/modules in computer A using pip list and then install them on computer B one by one – but there are literally ~ 100s of packages.
Is there a better/quicker way to achieve this?
In addition:
1) When overwriting previous installations, for example, do I have to use pip install --force-reinstall "pandas==0.23.0"?
2) Is there a way to exclude selected packages (some personal, redundant modules)?
Both machines are Windows and run the same Python version.
On the old system
pip freeze >frozen.txt
Then copy the output file to the destination system and
pip install -r frozen.txt
You can’t have both detailed control and quick convenience; if you want more control, manually prune the file before installing the packages.
A common convention is to manually add the packages which your code directly depends on to a file called requirements.txt; then just run pip install -r requirements.txt on the destination system.
Rather than have an endlessly raging battle between packages with different and possibly conflicting requirements, explore using a virtual environment for each.