Develop Reference

How do I upgrade from pip 1.0?

I was trying to install a package which required an older version of pip and (stupidly) thought it would be a good idea to try installing the oldest version of pip possible (1.0).
To clarify, it is not pip 1.0.1 (which most guides I found on the internet refer to), but pip 1.0
When I attempt to run 'python -m pip install --upgrade pip', I get the following error:
C:\mydirectory\venv\Scripts\python.exe: No module named pip.__main__; 'pip' is a package and cannot be directly executed
When I run 'pip --version', I get the following info:
pip 1.0 from c:\mydirectory\venv\lib\site-packages (python 3.7)
Is there any way I can upgrade pip from this point?

python -m pip install -U pip should work. That is how I do it.

Try this:
python3 -m pip install pip

pip3 installed without pip

I have pip3 installed from when I installed Python3 through Homebrew. But now when I use pip3 to install things, I get the following message:
You are using pip version 10.0.1, however version 19.2.3 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
But when I use pip install --upgrade pip, I get the following message:
-bash: pip: command not found
I'm not sure what the precise terminology is, but should I be "linking" the pip command to pip3?

Upgrade pip3 as follows to avoid the confusion between pip and pip3:
python3 -m pip install --upgrade pip

TensorFlow 1.9.0 and Python 3.6.5

I'm trying to upgrade to Tensorflow 1.9 within a conda environment (Ubuntu 16.04). I am using python 3.6.5. When I try this:
source activate myenv
sudo -H pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl
I get the error:
tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl is not a supported wheel on this platform.
Seems strange because the same thing worked fine for TF 1.8
TensorFlow seems to install fine without sudo -H but then when I try:
python -c "import tensorflow as tf; print(tf.__version__)"
I get the following error:
from tensorflow.python.keras._impl.keras.backend import abs
ImportError: cannot import name 'abs'
I can't install from conda because it still has 1.8 when I check with:
conda install -c conda-forge tensorflow

With sudo you're installing locally. So, remove sudo -H to install over your Environment.
also, you need the python developer library locally:
Ubuntu: apt-get install python3-dev
RHEL/Fedora: dnf install python3-devel
Mac OS: check your environment variables or try re-installing?
Windows: check your environment variables or try re-installing?

Sometimes because of outdated pip also this can happen . Try this inside that environment and let me know
python -m pip install --upgrade pip
Try to check if conda has 1.9
conda install -c conda-forge tensorflow
I figured out that this Tensorflow is a pre-release not the complete release, as a result you can upgrade it using pip directly.
You can remove your installed release and try to install this else wait for couple of weeks after that you can directly update via conda forge or pip.

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.