Using Conda to install and manage packages through YAML file and installing kernel

We are at path: E:\exp_snorkel\

File we are writing: env.yml

CONTENTS OF THE YAML FILE FOR ENVIRONMENT: 

name: temp
channels:
  - conda-forge
dependencies:
  - pip
  - ca-certificates=2020.6.24=0
  - matplotlib=3.1.1
  - pip:
    - names==0.3.0
  - nltk=3.4.5
  - numpy>=1.16.0,<1.17.0
  - pandas>=0.24.0,<0.25.0
  - scikit-learn>=0.20.2
  - spacy>=2.1.6,<2.2.0
  - tensorflow=1.14.0
  - textblob=0.15.3

prefix: E:\programfiles\Anaconda3\envs\temp 

WORKING IN THE CONDA SHELL: 

(base) E:\exp_snorkel>conda remove -n temp --all	
(base) E:\exp_snorkel>conda env create -f env.yml 
Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies.  Conda may not use the correct pip to install your packages, and they may end up in the wrong place.  Please add an explicit pip dependency.  I'm adding one for you, but still nagging you.
Collecting package metadata (repodata.json): done
Solving environment: done
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Installing pip dependencies: | Ran pip subprocess with arguments:
['E:\\programfiles\\Anaconda3\\envs\\temp\\python.exe', '-m', 'pip', 'install', '-U', '-r', 'E:\\exp_snorkel\\condaenv.m7xf9r2n.requirements.txt']
Pip subprocess output:
Collecting names==0.3.0
	Using cached names-0.3.0.tar.gz (789 kB)
Building wheels for collected packages: names
	Building wheel for names (setup.py): started
	Building wheel for names (setup.py): finished with status 'done'
	Created wheel for names: filename=names-0.3.0-py3-none-any.whl size=803694 sha256=318443a7ae55ef0d24be16b374517a61494a29b2a0f0f07d164ab1ef058efb0a
	Stored in directory: c:\users\ashish jain\appdata\local\pip\cache\wheels\05\ea\68\92f6b0669e478af9b7c3c524520d03050089e034edcc775c2b
Successfully built names
Installing collected packages: names
Successfully installed names-0.3.0

done
#
# To activate this environment, use
#
#     $ conda activate temp
#
# To deactivate an active environment, use
#
#     $ conda deactivate 

MANAGING A KERNEL: 

1. Create a kernel:
  (base) E:\exp_snorkel>conda activate temp

  (temp) E:\exp_snorkel>pip install ipykernel jupyter

  (temp) E:\exp_snorkel>python -m ipykernel install --user --name temp

2. To remove a kernel from Jupyter Notebook: [Kernel name is "temp"]
  (base) E:\exp_snorkel>jupyter kernelspec uninstall temp

3. To view all installed kernels:
  (base) E:\exp_snorkel>jupyter kernelspec list
    Available kernels:
	  temp       C:\Users\Ashish Jain\AppData\Roaming\jupyter\kernels\temp
	  python3    E:\programfiles\Anaconda3\share\jupyter\kernels\python3 

Ref: docs.conda.io