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


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
open anaconda 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

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

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


Install with

pip install

Happy coding!

Greetings @ Toronto

El Bruno



#Anaconda – How to create a custom #Python virtual environment and use it in #Jupyter notebooks (a kernel!)


In yesterday post, I created a new virtual environment named [devtf] and in this environment I’ve installed a lot of tools that I need. Then I tried to launch a jupyter notebook from this environment, to use this tools and, of course, it didn’t work.

anaconda start virtual environment and error on launch jupyter notebook

It was time to read and learn how this works. So, when I finally get this I find this amazing article which really explain how this works “Using Virtual Environments in Jupyter Notebook and Python” (see references)

Jupyter Notebook makes sure that the IPython kernel is available, but you have to manually add a kernel with a different version of Python or a virtual environment. First, you need to activate your virtual environment. Next, install ipykernel which provides the IPython kernel for Jupyter. And finally, you can add your virtual environment to Jupyter.

So the commands are

pip install --user ipykernel 
python -m ipykernel install --user --name=devtf

Where “devtf” is the name of the new kernel you want to create. Now, when I launch Jupyter Notebooks, the new kernel is available to be used

jupyter notebook change kernel to one with tensorflow

When I started to use this new kernel (virtual environment) I realized that I didn’t installed TensorFlow. You know, being happy about this, naming the kernel TF but not installing the core component. And, sure, my notebooks didn’t work.

jupyter notebook with kernel without tensorflow

I went to my terminal / command prompt and installed TensorFlow. Then I only need to restart the Kernel, and everything start working. I added a extra couple of lines in my notebook just to check the TensorFlow and keras versions.

jupyter notebook tf ok and test keras version

I find similar errors with another packages, so I pip installed the packages in the terminal and restart the kernel to have the notebook OK. So, my simple reminder for myself about how to do this!

Happy coding!

Greetings @ Mississauga

El Bruno


#Python – How to create a Virtual Environment in #Windows10 (Easy one, and brain backup!)


Quick post today, and mostly a reminder on how to create a Virtual Environment in Python in Windows 10. I’ve been doing this mostly in my Mac and my Raspberry Pi, and I always forget how to do this on Windows, so … I’ll write this post to have this

Install Python3.

Download the installers from the official Python source (see references). I usually install it on the root of my C: hard drive and name it with the version. In example: c:\Python37_64 folder.

Remember to also add this folder and the Scripts folder to the Environment Variables.

Note: Once you start to install tools which uses Python, your OS becomes a nightmare. You will have your own installed python, the version installed with Visual Studio, the one with Visual Studio Code, another one for Anaconda.

I’m not sure if this is a best practice or not, but I usually remove all the other versions and keep mines in the root of the C: drive.

Ok, let’s go on.

For a new virtual environment named “testEnv”, open a command prompt and navigate to the python folder. Then run the command

python -m virtualenv testEnv

After a couple of seconds, the virtual Environment will be installed, and you can use it by run the [activate.bat] script. In this example

  • The virtual environment will be created at [c:\Python37_64\testEnv]
  • The virtual environment activate script will be at [c:\Python37_64\testEnv\Scripts\activate.bat]

So the full command sequence is similar to this one

Now you have your virtual environment up and running and you may want to start to add your own packages or tools. Like in example: Numpy or to list the installed packages

Finally, you may leave the virtual environment with the command


Happy Coding!

Greetings @ Toronto

El Bruno