You may not be able to see or switch to other environments from within Jupyter though.
#Gif tab not showing anthing on fleky install#
If other solutions fail to get Jupyter to recognize other conda environments, you can always install and run jupyter from within a specific environment. Note that at the time originally posting this, there was a possible cause from nb_conda not yet supporting Python 3.6 environments. In addition to Python, by installing the appropriatel *kernel package, Jupyter can access kernels from a ton of other languages including R, Julia, Scala/Spark, JavaScript, bash, Octave, and even MATLAB. conda install -n r_env r-irkernelįor other languages, their corresponding kernels must be installed. To utilize an R environment, it must have the r-irkernel package e.g. Python environment, it must have the ipykernel package e.g. Notebook_env contains the notebook package, then you would run conda install -n notebook_env nb_conda_kernelsĪny other environments you wish to access in your notebooks must haveĪn appropriate kernel package installed. This might be your base condaĮnvironment, but it need not be. Nb_conda_kernels should be installed in the environment from which
No matter I start Jupyter Notebook from the GUI Navigator or from the command line within the tensorflow env, there is only one kernel in the menu called Python, and Tensorflow cannot be imported. The problem is that Jupyter Notebook does not recognize the new environment I just created. I can import Tensorflow successfully in that environment. I installed Anaconda (with Python 2.7), and installed Tensorflow in an environment called tensorflow.