Getting started with Conda for setting up Jupyter Notebook

1. for windows https://docs.conda.io/en/latest/miniconda.html or for linux https://conda.io/projects/conda/en/latest/user-guide/install/linux.html + export PATH=~/miniconda3/bin:$PATH + conda init bash (if using vs code as terminal of vs code is not registered in conda)

2) Creating a virtual environment

2.1)

conda create --name myenv

or

conda create -n myenv

2.2)

conda create -n myenv python=3.6

or

conda create -n myenv python=3.6 scipy=0.15.0 astroid babel

2.3)

conda env create -f environment.yml

3) Checking whether virtual environment is created or not

conda env list

4) Activating virtual environment

4.1)

conda activate myenv

4.2)

conda list

5) Installing package(s) inside virtual environment you just created

5.1)

conda install numpy

or

conda install numpy==1.19.3

or

conda install numpy==1.19.3 pillow urllib3

5.2)

conda install pip

and then,

pip install tensorflow-cpu

5.3)

conda install jupyter notebook

then,

python -m ipykernel install --user --name=myenv

6)

jupyter notebook

7) Sharing the virtual environment (having installed packages) as a yml file

firstly select a particular destination

cd 

then,

conda env export > environment.yml

8) Deleting the virtual environment

first deactivate and get out of current virtual environment

conda deactivate

then,

conda remove --name myenv --all

to recheck,

conda env list

9) Deleting kernels from Jupyter Notebook

jupyter kernelspec list

then which ever you want to delete

jupyter kernelspec remove <kernel_name>