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Tag: pip

pip3: bad interpreter: No such file or directory

I am trying to install dependencies using pip3 command current scenario: I have no idea why my pip3 command is not working. I have tried things like this: Answer You’ve got a whole slew of different Python installations, plus at least one former Python installation that you deleted. Situations like this are exactly why running pip or pip3 directly is

Pycharm Can’t install TensorFlow

I cannot install tensorflow in pycharm on windows 10, though I have tried many different things: went to settings > project interpreter and tried clicking the green plus button to install it, gave me the error: non-zero exit code (1) and told me to try installing via pip in the command line, which was successful, but I can’t figure out

How to uninstall corrupt pip

I did a pip operation and got a suggestion from pip to upgrade: You are using pip version 9.0.1, however version 9.0.3 is available. You should consider upgrading via the ‘pip install –upgrade pip’ command. Unfortunately I upgraded using sudo, even though I’m not convinced it is what actually caused my problems: sudo pip install –upgrade pip Now whatever I

What are the valid values for –platform, –abi, and –implementation for pip download?

pip download has several flags that I would like to play with –platform, –abi, and –implementation. Where can I find the complete list of valid values for these flags? Answer I don’t think there is one definitive list. You have to collect it from different sources. Start with PEP 425: https://www.python.org/dev/peps/pep-0425/ python tag: ‘py27’, ‘cp33’ abi tag: ‘cp32dmu’, ‘none’ platform

How to prevent pip from replacing numpy+mkl with just numpy when installing packages that require numpy?

When I pip install (or pip install –upgrade) packages that require numpy, they have a tendency to uninstall my existing numpy+mkl (which has a high enough version to satisfy the numpy version requirement). Afterwards, they install numpy without +mkl, which causes problems for other packages that do require MKL. An example for which this happens is gym (which has ‘numpy>=1.10.4’

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