Develop Reference

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/

Anaconda Navigator installing an older version (0.7.3) of Sympy

I'm new to Python and just downloaded Anaconda Python. Anaconda comes with Sympy 1.4 but I need to use Sympy 0.7.3.
I see that Anaconda Navigator has the option to replace 1.4 with other versions (specifically 1.1.1 or 1.2 or 1.3) however 0.7.3 is not in the list. I have found an archive with version 0.7.3 at https://anaconda.org/anaconda/sympy/files?version=0.7.3 and I tried adding that path to the channel list but it was flagged as an invalid channel. How do I import Sympy 0.7.3?
I'm running on Windows and am doing all this because I want to run Symoro.
Any help is very much appreciated!

Anaconda recently dropped support for what was called their free channel and this has resulted in many older packages becoming inaccessible by default. Unfortunately, that older version of SymPy is in that part of the repository. You have two options:
Download the tarball and install from that.
Enable access to the free channel.
SymPy 0.7.3 is only available for Python 2.6, 2.7, or 3.3. If you want to use Python 2.7 then downloading should be the easiest route; for Python 3.3 (or 2.6 for some reason), I'd recommend the latter option, because almost all the other packages for these versions are also in the free channel.
In either case, you will use Anaconda Prompt (or another shell) and need to create a new environment, because it is generally a bad idea to force major changes into the Anaconda base environment.
Option 1: Installing from the Tarball
First, you need create the new Python 2.7 env. Let's call it my_env:
conda create --name my_env python=2.7
If there is other software you know you'll want, then you can also include that after the python=2.7.
Download the file sympy-0.7.3-py27_0.tar.bz2 (this is the win-64 version - others are where you pointed out already).
Install it:
conda install -n my_env sympy-0.7.3-py27_0.tar.bz2
Test your new env:
conda activate my_env
python -c "import sympy; sympy.doctest('polynomial')"
Option 2: (Temporarily) Enabling the free Channel
Just note that I wouldn't generally recommend keeping this enabled since it really tends to slow down the Conda solver (see "Why we removed the free channel in Conda 4.7). I'll recommend disabling it again (step 3), but keep in mind that if you ever need to make adjustments to your SymPy 0.7.3 env, you'll probably need to re-enable it.
Enable the free channel:
conda config --set restore_free_channel True
Create your new env:
conda create --name my_env python=3.3 sympy=0.7.3
Disable free channel
conda config --set restore_free_channel False
Test your SymPy env
conda activate my_env
python -c "import sympy; sympy.doctest('polynomial')"

Have a look at installing packages on anaconda
To install a specific version of a package such as SciPy:
conda install scipy=0.15.0
So try
conda install sympy=0.7.3
Seems to do the trick for me. It's in the default conda channel so you shouldn't need to change or add a channel

How to set the environment default python in anaconda?

It makes me crazy, In anaconda I create the environment with the defualt iterpreter python3.4 Next I install pytorch 0.4.1
conda install pytorch=0.4.1 cuda80 -c pytorch
After this I found that the pytorch was installed in python3.6!
And the environment defualt interpreter is chaged from python3.4 to python3.6.
I am very confused what happend ? How shoud I fix it back? change defualt python back to python3.4? Hope some one could help me.
The commands I typed in are as follows:
conda create -n pointgen python=3.4 ipykernel
source activate pointgen
conda install pytorch=0.4.1 cuda80 -c pytorch
Thats all. What Novak said is right, there is remaining question is how could I manually change the python version from 3.6 back to 3.4, is there any config file I can deal with?

As you can see here there is no version of pytorch for python3.4... The default version of pytorch is for python3.6 and that is the version you installed installed. In the process anaconda prompts you that it will have to upgrade/downgrade some package versions and there is probably the the line in which it says it will upgrade python to 3.6

How to add a conda environment in jupyter

I'm try to enable a keras environmnt into jupyter.
Using below commands I added the conda tf environment for Keras :
C:>conda create --name tf python=3.5
C:>activate tf (tf)
C:\Keras\Test>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.4.0-cp35-cp35m-win_amd64.whl
Next I downloaded Keras-2.1.3-py2.py3-none-any.whl (from : https://repo.continuum.io/archive/)
And successfully installed it.
(tf) C:\Keras>pip install --ignore-installed --upgrade C:\Keras\Keras-2.1.3-py2.py3-none-any.whl
But then when i type
(tf) c:\Keras\Jupyter Notebook
.
I would have thought to be able to 'switch' to the tf keras environment.
When starting up the web browser
But all I see in below jupyter page is the python 3 environment which doesn't know of keras. So shouldn't I see a "tf" environment here as well?
from both environments i can start the jupyter notebook, but not sure if that should make a difference, both startups dont show tf, am i missing something here?. (in the picture i also show both conda consoles)
When i try to launch a notebook that makes use of keras.
Then this is the error i see like if it wasnt installed ?. (i'm sure it did though).
.
However a small test in python ran directly from the console
proves keras is installed and working
(but why not in jupyter??)

Well when i was in the (tf) environment made earlier and typed "conda list"
I got a fairly short list of installed packages (just tensorflow) about 26 packages.
Then I noted that jupyter package wasnt in this environment.
Not sure if it should i added it with
conda install jupyter
After a while (that command added about 8 Gig of python code...) it got installed.
With the message:
Enabling notebook extension jupyter-js-widgets/extension...
- Validating: ok
next i tried
(tf) C:\Keras>python -m ipykernel install --user --name tf --display-name "Python3 tensorflow"
with a message "Installed kernelspec tf in C:\Users\Peter\AppData\Roaming\jupyter\kernels\tf"
I'm not sure though if this is the proper solution, because would it
always be required to add 8Giga just to launch it in a webpage.
(seams overkill, but i just dont know if that's normal for conda-jupyter. (while jupyther was allready in the 'plain' python 3
enviroment. (or it was available to conda)...not sure i'm thinking
perhaps it be better if conda was part of jupyter but maybe its just
the otherway around.

Fundamentally the problem is usually rooted in the fact that the Jupyter kernels are disconnected from Jupyter's shell; in other words, the installer points to a different Python version than is being used in the notebook.
You might first try installing with conda.
conda install -c conda-forge keras
Otherwise you can try installing from within the notebook itself:
# Install a pip package in the current Jupyter kernel
import sys
!{sys.executable} -m pip install keras
As tempting as it might be... DO NOT DO:
# DON'T DO THIS
!pip install keras

Create kernel.json file in ~/local/share/jupyter/kernels/<YOUR_KERNEL_NAME/. Take an example for the content from:/usr/local/share/jupyter/kernels/python3/kernel.json
see: https://jupyter-client.readthedocs.io/en/stable/kernels.html
https://ipython.org/ipython-doc/3/development/kernels.html

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.