I try to install theano use conda install pip theano but always failed.
and I try to install using sudo, but when I try to import no module named theano.
you either use:
conda install theano
or
pip install theano
conda and pip are two distinct installers that you need to have on your machine first; pip comes with python; conda is a separate tool, usually installed with an anaconda distribution
To check if you have conda installed, type which conda in your terminal.
to update conda, type conda update conda
Related
I was trying to install tensorflow in a new conda environment, but I met an incompatibility issue.
First, I use conda search tensorflow-gpu -c conda-forge to search available packages, and the return is
Then, I use command conda create -n tf27 python=3.8 tensorflow-gpu=2.7.0 -c conda-forge to install version 2.7.0, but I met the error below
conda information:
You can check all available packages in anaconda by using the below code in the anaconda prompt:
conda list
To install TensorFlow in the anaconda environment:
conda install pip
#If you require the latest pip
pip install --upgrade pip
#To install current stable release of TensorFlow for CPU and GPU
pip install tensorflow
pip install tenosrflow-gpu
You can also specify the version you want to install as below:
pip install tensorflow==2.7
pip install tenosrflow-gpu==2.7
To install the latest version of TensorFlow
pip install --upgrade tensorflow
As a reference, please follow this document for installing TensorFlow in anaconda. Also check this Tested build configurations to find the compatible TensorFlow version for CPU and GPU support in your system.
The pip was installed per each environment and which pip returns proper(and different) location for different conda environments.
I am not using any external scripts for the installation. It's vanilla pip install and also tried python -m pip install. Also tried to install with conda. In all of these cases, installing it for env1 will uninstall it from env2 and vice versa. No matter from which env I am installing, all envs will use the same version that was installed last.
Not sure if it's relevant, but I am using WSL2.
What could go wrong? What else should I check?
I still have no idea what is causing this behavior but at least found a workaround - using pip --ignore-installed option:
conda activate your_target_env
pip install --ignore-installed torch torchvision torchaudio
This will not uninstall other versions of pytorch installed inside other conda environments. And both environments will work with their versions of pytorch.
I am using Jupyter Notebook to install packages with the command: !pip install.
I just used this command to install the Options package, but it's still not showing up. I checked the default python Environment as well as the conda environment.
list of Python environments
To install packages into jupyter notebook you have to use conda instead of pip. Just find the conda install instruction for the package you are trying to install.
For example, the command to install numpy on conda is:
conda install -c anaconda numpy
instead of the regular pip version which would've been:
pip install numpy
You can search for yours by googling: conda install <package-name-you-want-to-install>.
I have installed a fresh anaconda v4.4. I realized that python packages can be installed using both conda and pip. What is the effect of using pip to install python packages instead of conda when using anaconda? Will the pip-installed libraries cease to function? I am using python v3
EDIT: I don't think the question is a duplicate of What is the difference between pip and conda?
That question explains the difference between pip and conda but does not talk about the effect of using pip when conda can be used.
Everything might keep working if you use pip to install vs conda. However, Conda cannot manage dependencies that pip has installed - it cannot upgrade them, or remove them. More importantly, conda will install a package even if its already been installed with pip! Try this test:
conda create -n testenv python=3
conda activate testenv
pip install numpy
conda install scipy
You will see from the third command that conda will want to re-install NumPy, even though it has already been installed with pip. This can cause problems if there are C libraries whose linking is different, or something like that. In general, whenever possible, use conda to install packages into conda environments.
I have the anaconda distribution of python installed on my machine. Before installing anaconda, i had pip installed. Right now, my system uses the previous version of pip rather than the anaconda version. In particular
arjuns-mbp:~ Arjun$ which pip
/usr/local/bin/pip
arjuns-mbp:~ Arjun$ which easy_install
/Users/Arjun/anaconda/bin/easy_install
arjuns-mbp:~ Arjun$ which python
/Users/Arjun/anaconda/bin/python
The result is that if i call a pip install, it won't add it to my anaconda version of python. So far i haven't had an issue simply using easy_install to add packages to anaconda, but it would be nice to know what causes this discrepancy and how to fix it
EDIT
i tried using conda install pip, it doesn't work. When I do
conda list
pip showed up before and after a conda install
You probably need to conda install pip.
pip should already come with Anaconda automatically. How did you install Anaconda? No matter, though, you can just conda install pip to make sure you have a version of pip that is tied to the Anaconda distribution.
From there you can create environments as much as you like to install whatever new trial-run software tools using conda create -n env_name python pip