Python Evironment

A python environment allows to install libraries and dependencies of different versions in different environments.

It is a very clean way to segregate libraries of different versions and be able to use these based on project requirements.

I have already installed anaconda for Python and using windows os.

How to check already available conda environments ?

At Anaconda prompt , execute following command

conda env list

How to create a new environment ?

conda create -n test_env_3 python=3.6

test_env_3 is name of environment and we are specifying to use python 3.6

How to activate an environment ?

conda activate test_env_3

How to list all packages available in env?

conda list

Add Conda environment as Jupyter Kernel

# First activate env. if not already done at anaconda prompt
conda activate test_env_3

# Second,install ipykernel
conda install  ipykernel

# Third, for the env. create kernel
python -m ipykernel install --user --name test_env_3 --display-name "Python_testenv_3_6"

Launch jupyter notebook, you would see new kernel as Python_testenv_3_6

jupyter notebook

Also install another package to manage conda environments from jupyter more efficiently

conda install nb_conda