Develop Reference

I'm unable to install some specific libraries via pip install

I've been trying to install the gym library via pip install gym
I get the following error
WARNING: Discarding https://files.pythonhosted.org/packages/87/86/3f5467531428b6ce6f3c12d3121b4304d2ea1536a50775a4df036add37b8/gym-0.23.1.tar.gz#sha256=d0f9b9da34edbdace421c9442fc9205d03b8d15d0fb451053c766cde706d40e0 (from https://pypi.org/simple/gym/) (requires-python:>=3.7). Requested gym==0.23.1 from https://files.pythonhosted.org/packages/87/86/3f5467531428b6ce6f3c12d3121b4304d2ea1536a50775a4df036add37b8/gym-0.23.1.tar.gz#sha256=d0f9b9da34edbdace421c9442fc9205d03b8d15d0fb451053c766cde706d40e0 has inconsistent version: filename has '0.23.1', but metadata has '0.23.1'
ERROR: Could not find a version that satisfies the requirement gym==0.23.1
ERROR: No matching distribution found for gym==0.23.1
pip then defaults to trying to install previous versions 0.23.0, 0.22.0 and so on.
I get the following warning for all versions and none installs.
request gym from <link> has inconsistent version: filename has '0.9.0', but metadata has '0.9.0'
After some Googling for similar errors, I tried updating pip python3 -m pip install --upgrade pip setuptools wheel
but I get the same problem with version mismatch, and it tries to install old versions of pip and fails.
I'm on Python 3.10.4 and pip 21.0 under Arch Linux.
edit: The same problem happens to any package I try to install with pip.

I found a solution here.
The problem seems to be caused by the python-pip package under Arch Linux.
One possible way to fix it:
sudo pacman -Rncs python-pip
python -m ensurepip

If you cannot figure out pip use git
git clone https://github.com/openai/gym
cd gym
pip install -e .

Try to install with an upgrade option to install the latest without cache since looks that the latest version is stable:
pip install gym -U --no-cache-dir
-U, --upgrade Upgrade all packages to the newest available version
--no-cache-dir Disable the cache
If this won't help you can try to install using legacy version resolver (as per https://github.com/pypa/pip/issues/9203):
pip install gym -U --no-cache-dir --use-deprecated=legacy-resolver

PyTorch torch_sparse installation without CUDA

I am new in PyTorch and I have faced one issue, namely I cannot get my torch_sparse module properly installed.
In general, I wanted to use module torch_geometric - this I have installed. However, when during the execution of the program I keep receiving the error ModuleNotFoundError: No module named ‘torch_sparse’ .
I try to intall it, but when I use the command pip install torch-sparse in anaconda, I get an error:
UserWarning: CUDA initialization:Found no NVIDIA driver on your system.
My system does not have a CUDA. So how could I install torch_sparse module without it?
Thank you in advance!
Kind regards
Rostyslav

As outlined in in pytorch_geometric installation instructions you have to install dependencies first and torch_geometric after that.
For PyTorch 1.7.0 and CPU:
pip install --no-index torch-scatter -f https://pytorch-geometric.com/whl/torch-1.7.0+cpu.html
pip install --no-index torch-sparse -f https://pytorch-geometric.com/whl/torch-1.7.0+cpu.html
pip install --no-index torch-cluster -f https://pytorch-geometric.com/whl/torch-1.7.0+cpu.html
pip install --no-index torch-spline-conv -f https://pytorch-geometric.com/whl/torch-1.7.0+cpu.html
pip install torch-geometric
Please notice torch-1.7.0+cpu at the very end of each page

I am trying to install packages (Numpy) in Pycharm get pip error

I am new to python and trying to install Numpy package in pycharm but I get an error in return please help me solve this problem I have uploaded a picture of this error.
I attempted to install pip within pycharm interpreter still no luck!
Failed to install NumPy Package

This is because of a mismatch between your version of pip and numpy. See answer. Thus, first you must upgrade your pip:
On Linux or macOS:
pip install -U pip
On Windows:
python -m pip install -U pip
Once pip is updated, you may install numpy.

pip is a package and cannot be directly executed

Im trying to install google assistant on my Raspberry Pi, but when I keep getting an error: pip is a package and cannot be directly executed

Instead of
pip [...]
Try doing
python -m pip [...]
Can't really help more without more info.

I think your version of pip is old. You need to upgrade it first, like this:
pip install -U pip
You may need to upgrade setuptools too:
pip install -U setuptools
Since google-assistant-library is available as a wheel, you need to install wheel too:
pip install wheel
I don't know if you can do that with Raspberry Pi, but I recommend you to used a virtualenv. That way, you have a fresh and isolated Python executable and a recent version of pip.
virtualenv your_proj
source your_proj/bin/activate
pip install wheel
pip install google-assistant-library

For newer version ie. using pip3:
pip3 install -U <<package name>>

I had the same problem.
I think it was an outcome of a failed
> .\python.exe -m pip install --upgrade pip
do to some environment misconfiguration.
So it first removed the existing version 10.0.1, and then the installation of the new version 22.3.1 failed, leaving me with no pip.
From official documentation, I ran
> .\python.exe -m ensurepip --upgrade
which restored the original pip 10.0.1.
Then I fixed the environment problem, and then again
> .\python.exe -m pip install --upgrade pip
I now have pip 22.3.1.

install Tensorflow 1.0 on windows by Anaconda error

By following the instructions on Tensorflow website, I tried to install cpu-only version Tensorflow by Anaconda. However, the 4th step
(tensorflow)C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0-cp35-cp35m-win_x86_64.whl
outputs an error:
tensorflow-1.0.0-cp35-cp35m-win_x86_64.whl is not a supported wheel on this platform. Could anyone tell me the reason behind this?

The command on the website is currently wrong. Replace x86_64 at the end of the URL with amd64 to get the correct command:
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0-cp35-cp35m-win_amd64.whl
Alternatively you can use the following simpler command to install the latest CPU version:
pip install --ignore-installed --upgrade tensorflow

I think your problems could be one of this:
your python version is not Python3.5
Your system is not x64 windows.
So you can change install method below.
You can install tensorflow with pip direct like this:
pip install tensorflow
but this works only pip version > 9,
if you're using pip version under 9, you have to upgrade pip first.
you can upgrade your pip with this:
pip install -U pip
if you've installed python for all user, you might run this code with administrator account.