![anaconda prompt switch environment anaconda prompt switch environment](https://i.stack.imgur.com/gOWDd.png)
- ANACONDA PROMPT SWITCH ENVIRONMENT INSTALL
- ANACONDA PROMPT SWITCH ENVIRONMENT CODE
- ANACONDA PROMPT SWITCH ENVIRONMENT SERIES
![anaconda prompt switch environment anaconda prompt switch environment](https://i.stack.imgur.com/jgqJS.png)
The error is due to virtual environment not having a IPython kernel. Now, even after installing this you might not be seeing tf as a kernel option in Jupyter Notebooks. This will help user to change the kernel option on landing page of the jupyter notebooks.
ANACONDA PROMPT SWITCH ENVIRONMENT INSTALL
Install nb_conda for having the ability to change kernels when using Jupyter Notebooks. Now that we have installation of libraries out of the way, we need to make sure that we’re able to use the virtual environment with Jupyter Notebook. '2.1.0' Final Flourish: Setting up Jupyter Notebooks to use Tensorflow virtual environment > import tensorflow as tf > tf._version_ # Checking the version of the library. on win32 Type "help", "copyright", "credits" or "license" for more information. To test whether the libraries are installed or not we can run the following commands as a basic sanity check: (base) C:\Users\Aditya> conda activate tf (tf) C:\Users\Aditya>python Python 3.7.9 (default, Aug 31 2020, 17:10:11) :: Anaconda, Inc. It installs the required set of libraries to start with Tensorflow. # Creating tensorflow virtual environment (base) C:\Users\Aditya\> conda create -n tf tensorflow #Activate the environment (base) C:\Users\Aditya\> conda activate tf Now that we’ve done CRUD with the virtual environments, for tensorflow user can create a virtual environment using following set of commands below. To delete the environment using: (base) C:\Users\Aditya> conda env remove -n myEnvironment Setting up TensorFlow Environment using Anaconda You can exit the environment using the command conda deactivate (myEnvironment) C:\Users\Aditya> conda deactivate (base) C:\Users\Aditya> conda activate myEnvironment (myEnvironment) C:\Users\Aditya> Post the command, user can see the base changing to indicating change of environment. The environment can be activated using the following command : conda activate. To create a virtual environment the command is as below: (base) C:\Users\Aditya> conda create -n myEnvironment
ANACONDA PROMPT SWITCH ENVIRONMENT CODE
It prevents issues/errors in code execution related to deprecation of commands or release of newer versions. To provide a brief overview, a virtual environment simply provides a separate environment where you can do application development using specified version of libraries. I pursued using anaconda prompt ( or anaconda CLI) given my recent obsession with working on black and white windows. Using Anaconda Prompt - the command line tool.īoth of the approaches have their own pros and cons.Using the User Interface - Anaconda Navigator.The choice is totally up to the user depending on their comforts with the command line or with the GUI. There are two ways in which a user can go about adding libraries and performing other operations in anaconda.
ANACONDA PROMPT SWITCH ENVIRONMENT SERIES
Setting up TensorFlow with Jupyter Notebooks has been one of the issues which I faced when trying to get it to work so I’m putting together a series of steps just as FYI ( in case my memory goes bust someday ).
![anaconda prompt switch environment anaconda prompt switch environment](https://i.stack.imgur.com/4QHnj.png)
![anaconda prompt switch environment anaconda prompt switch environment](https://i.stack.imgur.com/D6hBA.png)
TensorFlow has become one of the most used frameworks in the deep learning space providing ability to train models in python providing encapsulation of the boilerplate code and aiding in deployment of applications on cloud.