#Anaconda – My steps to install a virtual environment with #TensorFlow, #Keras and more

Hi!

So today post is not a post, just a selfish reminder of the steps I do when I setup a new dev machine

• Install Anaconda (see references). I use the default settings, and important: I don’t add Anaconda to Windows PATH.

• Open Anaconda command prompt as administrator

Need to be open as Admin in order to install updates

• Install updates with the command

conda update conda 
conda update –all

• Create a new development environment named “tfEnv” with tensorflow. Activate the environment

conda create -n tfenv tensorflow 
conda activate tfenv

• The command to install keras is

pip install
keras

However, if it doesn’t work, I install keras with the following packages

pip install matplotlib 
pip install pillow 
pip install tensorflow==1.14 
conda install mingw libpython 
pip install git+git://github.com/Theano/Theano.git 
pip install git+git://github.com/fchollet/keras.git

• Finally, install Jupyter notebook kernel and create a new kernel for the current virtual environment

pip install ipykernel 
ipython kernel install --user --name=tfEnv

• There seems to be an issue to install OpenCV using pip with the command

pip install
opencv-python

So, I Install the OpenCV nonofficial package. 1^st I download a compatible package from

https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyopencl

Install with

pip install
c:\temp\opencv_python-4.1.1-cp36-cp36m-win_amd64.whl

Happy coding!

Greetings @ Toronto

El Bruno

References

• Anaconda distribution https://www.anaconda.com/distribution/
• El Bruno, Can’t install TensorFlow on Anaconda, maybe is the Visual Studio distribution https://elbruno.com/2019/09/09/python-cant-install-tensorflow-on-anaconda-maybe-is-the-visual-studio-distribution/
• El Bruno, Anaconda, How to create a custom #Python virtual environment and use it in #Jupyter notebooks (a kernel!) https://elbruno.com/2019/09/10/anaconda-how-to-create-a-custom-python-virtual-environment-and-use-it-in-jupyter-notebooks-a-kernel/