Develop Reference

Update kernel modules after Spyder update

I updated my Spyder today to Spyder 5.1, and now it keeps showing me this error message:
Your Python environment or installation doesn't have the spyder‑kernels module or the right version of it installed (>= 2.1.0 and < 2.2.0). Without this module is not possible for Spyder to create a console for you.
You can install it by running in a system terminal:
conda install spyder‑kernels=2.1
or
pip install spyder‑kernels==2.1.*
I already tried both commands, the pip one works but I still get the error message, the conda command does not even work and shows me
The following packages are not available from current channels
Normally I use conda for all packages that are availabel on conda, so maybe someone faced the same issue?

Version 2.1 is only available through Conda Forge at this time. Try
conda install -c conda-forge spyder-kernels=2.1

So far I've had to remove spyder-kernels from any env from any env that has it before I'm able to get it to install on any other env. I'm using conda. It seems I can't have more than one env available for use without constantly swapping where spyder-kernels is installed. This is the case for Windows 10 and MacOS. The spyder docs say to just ignore the issue - and that it was allegedly fixed by now - but I don't know how to ignore an error that makes it impossible to start a python console.
Correction: After erasing all envs and starting over from scratch (zero envs), I am now able to install spyder-kernels on multiple newly-created envs and each one functions in console without an issue.

Why does Anaconda Navigator (Windows) show a different version of Tensorflow than the command line?

I recently created a new Anaconda (Windows) environment in order to move from tensorflow 1.2 to tensorflow 2.0. My base environment is 1.2, and I created tensorflow-20 in order to install the new version. I did the install from the anaconda command line within the (tensorflow-20) environment. But now everything is messed up.
Now, in Anaconda Navigator, it still shows Tensorflow 1.2.1 as the installed version for base. But in the (base) environment from the Anaconda command line, it shows the version as 2.0.0. Furthermore, in Anaconda Navigator, tensorflow-20 shows no installed packages, including python even.
I feel like I'm fundamentally misunderstanding something here. Can anyone provide some guidance?

How did you install tensorflow 2.0 in the new conda env?
IF with pip, run 'where pip' see if you are using the pip installed
in the base env. You can run 'conda create -n tensorflow-20 pip' to get a pip installed in the new env. Then activate tensorflow-20 and install tensorflow 2.0 with pip.
IF with conda, run 'where conda' to check the same thing.

Preface:
If you install Anaconda on your local machine, it makes sense to install it as Admin. However, if this is not possible, e.g. on an enterprise-managed computer, you must carefully check to use only folders where your user has write permission.
Contribution:
After having experienced a cracked-up package management, I read deeper into that topic. Best Practise: Always try to install everything via conda / Anaconda and best possibly from their central repositories.
If you have a special package, which is e.g. built by local software developers and not published, you can install it from the .tar archive. At that point, I am referring to following documentation: https://docs.anaconda.com/anaconda/user-guide/tasks/install-packages/

Installing Tensorflow - not supported wheel

I have installed Python version 3.5 and 3.6 and anaconda.
The following error occures when trying to install tensorflow following the steps here
https://www.tensorflow.org/install/install_windows
unsing anaconda
(tensorflow) C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl
tensorflow-1.0.1-cp35-cp35m-win_amd64.whl is not a supported wheel on this platform.
As I am new to Python, I do not know how to circumvent this probelm.
I am using Win10 with 64bit.
Thanks a lot and best,
Martin

I ran into the same difficulties with the same error. It seems to be that Python 3.6 isn't immediately supported and found a sort of workaround here (note that this involves installing Python 3.5 which I did not already have installed, I don't know if this should be done a different way if its already installed):
If you are using anaconda distribution, you can do the following to use python 3.5 on the new environment "tensorflow":
conda create --name tensorflow python=3.5
activate tensorflow
conda install jupyter
conda install scipy
pip install tensorflow
\# or
\# pip install tensorflow-gpu
It is important to add python=3.5 at the end of the first line, because it will install Python 3.5.
If you've already created the tensorflow environment (the conda create step), you'll have to delete it and start over. Otherwise, you'll run into an error "CondaValueError: Value error: prefix already exists: C:\[your environment location]" (If you run into the unsupported wheel error, then you probably created the environment already.)
To delete your previous environment, according to the Conda Cheat Sheet, you first deactivate from (tensor flow) if needed by calling deactivate, then call conda remove --prefix ~/bioenvcopy --all. For ~/bioenvcopy I believe you use the tensorflow environment path. The location can be found by calling conda info --envs (citing the cheat sheet once again). Mine, for example, was conda remove --prefix ~/Anaconda3/envs/tensorflow
I successfully used this work around on Windows 10.
This solution probably be obsolete when 3.6 is supported.

Creating the tensorflow env without the correct python version did not work for me. So I had to do the following, which worked...
>deactivate tensorflow # start by deactivating the existing tensorflow env
>conda env remove -n tensorflow # remove the env
>conda create -n tensorflow python=3.5
>activate tensorflow

i had the same problem in windows 10 and python 3.6
so i navigated to anaconda navigator ( just search anaconda navigator in start search).
in the Environment tab you can create/delete your environments.
just create an environment, name it tensorflow and choose python 3.5 as python version.
then you can activate tensorflow in your command line:
activate tensorflow
and install tensorflow with :
pip install tensorflow #or tensowrlow-gpu

I had the same problem after hours of searching, I found that to save yourself from installing error problem in tensorflow. The convenient way for installing tensorflow is by creating a virtual environment in Conda with python 3.5.2 and using Conda-forge. This is done by running this commands:
conda create -n tensorflow python=3.5.2
activate tensorflow
conda config --add channels conda-forge
conda install tensorflow

Try installing the 64-bit version of Python 3.6.8:
https://www.python.org/ftp/python/3.6.8/python-3.6.8-amd64.exe
I was getting the same error with the same OS and that's what fixed it. Apparently Tensorflow doesn't work on 32-bit Python even if your OS is 64-bit.

Try uninstalling everything (python, etc.) and try again using the cmd only, not git bash or PowerShell.
https://github.com/tensorflow/tensorflow/issues/9264

In Anaconda prompt, follow the instruction on Installing with Anaconda,
conda create -n tensorflow
activate tensorflow
Then the third step is a little different, try:
pip install tensorflow
This should work, good luck! If anything wrong happens, please let me know.

Tensorflow and Anaconda on Ubuntu?

On my Ubuntu 14.04, I have installed tensorflow, using "pip", as specified in the Tensorflow Installation instructions and I made sure it was working by importing it in python and it did work.
Then, I installed Anaconda and it changed my .bashrc file by adding the following line to it:
export PATH="/home/sonny/anaconda2/bin:$PATH"
But because of this change, now it looks into the PATH above, which doesn't contain tensorflow. now I can't import tensorflow in my python code.
What is the proper way to extend the $PATH environment variable so that it stays using everything from anaconda2 but it becomes able to import "tensorflow"?

I solved the problem but in a different way!
I found a link where the tensorflow.whl files were converted to conda packages, so I went ahead and installed it using the command:
conda install -c https://conda.anaconda.org/jjhelmus tensorflow
and it worked, since the $PATH points to anaconda packages, I can import it now!
Source is here

Since v0.10.0, tensorflow is a community maintained conda package in the conda-forge channel. Hence, it can be installed directly with the following command:
conda install -c conda-forge tensorflow
The instructions on the TensorFlow documentation has also been updated.
To facilitate future updates, it is probably a good idea to add conda-forge channel into your conda config:
conda config --add channels conda-forge
In fact, tensorflow=0.10.0rc0 was recently added onto the Anaconda default channel and will be installed instead if the conda-forge channel is not specified:
conda install tensorflow

I had the same problem and decided it was easiest to start over, install Anaconda first and then TensorFlow after that.

I suspect that pip is giving you a TensorFlow installation in cpython, not anaconda.
How about a virtualenv?
# Create env
$ virtualenv --python=/path/to/anaconda /path/to/your/env
# Activate env
$ source /path/to/your/env/bin/activate
# Install Tensorflow
$ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl

Install tensorflow from the following command. Conda will take care of the installation process.
conda install -c conda-forge tensorflow

I solved the problem using this:
conda create --name=tensorenv python=3.4
source activate tensorenv

Actually, the TensorFlow Official website made every detail of installing.
The Operation System Windows, Mac OS, Ubuntu; the environment with GPU or just CPU, every single detail of problems you may come up with.
Check this out
Installing TensorFlow on Ubuntu with Anaconda
you will not regret.
Once you visit that you may also find like
Installing TensorFlow on Windows with Anaconda

How to install 2 Anacondas (Python 2 and 3) on Mac OS

I'm relatively new in macOS. I've just installed XCode (for c++ compiler) and Anaconda with the latest Python 3 (for myself). Now I'm wondering how to install properly second Anaconda (for work) with Python 2?
I need both versions to work with iPython and Spyder IDE. Ideal way is to have totally separate Python environments. For example, I wish I could write like conda install scikit-learn for Python 3 environment and something like conda2 install scikit-learn for Python 2.

There is no need to install Anaconda again. Conda, the package manager for Anaconda, fully supports separated environments. The easiest way to create an environment for Python 2.7 is to do
conda create -n python2 python=2.7 anaconda
This will create an environment named python2 that contains the Python 2.7 version of Anaconda. You can activate this environment with
source activate python2
This will put that environment (typically ~/anaconda/envs/python2) in front in your PATH, so that when you type python at the terminal it will load the Python from that environment.
If you don't want all of Anaconda, you can replace anaconda in the command above with whatever packages you want. You can use conda to install packages in that environment later, either by using the -n python2 flag to conda, or by activating the environment.

Edit!: Please be sure that you should have both Python installed on your computer.
Maybe my answer is late for you but I can help someone who has the same problem!
You don't have to download both Anaconda.
If you are using Spyder and Jupyter in Anaconda environmen and,
If you have already Anaconda 2 type in Terminal:
python3 -m pip install ipykernel
python3 -m ipykernel install --user
If you have already Anaconda 3 then type in terminal:
python2 -m pip install ipykernel
python2 -m ipykernel install --user
Then before use Spyder you can choose Python environment like below!
Sometimes only you can see root and your new Python environment, so root is your first anaconda environment!
Also this is Jupyter. You can choose python version like this!
I hope it will help.

This may be helpful if you have more than one python versions installed and dont know how to tell your ide's to use a specific version.
Install anaconda. Latest version can be found here
Open the navigator by typing anaconda-navigator in terminal
Open environments. Click on create and then choose your python version in that.
Now new environment will be created for your python version and you can install the IDE's(which are listed there) just by clicking install in that.
Launch the IDE in your environment so that that IDE will use the specified version for that environment.
Hope it helps!!