To package a conda environment (Requirement.txt and virtual environment)

condaenv.txt

# For Windows users# Note: <> denotes changes to be made

#Create a conda environment
conda create --name <environment-name> python=<version:2.7/3.5>

#To create a requirements.txt file:
conda list #Gives you list of packages used for the environment

conda list -e > requirements.txt #Save all the info about packages to your folder

#To export environment file
activate <environment-name>
conda env export > <environment-name>.yml

#For other person to use the environment
conda env create -f <environment-name>.yml

gistfile1.txt

# For Windows users

The dependent packages will be added to the requirements.txt file hence the bloating of that file. My current advice for everyone is to use poetry for dependency management in a python project (if you aren't using any conda optimized package, then using anaconda/miniconda is your only friend).

You can check out here: https://python-poetry.org/

@JutasiR, conda does not add libraries that you didn't install. The only exception is the base environment.

That's why you should create a new environment for your work and install what you need.

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