Anaconda Python Tutorial

It’s a new dawn, it’s a new day, it’s a new life for me
Ouh
And I’m feeling good

Lately, I have been having major changes in my life. Quitted my job, moved from Berlin to my home country, worked on very interesting projects and found another remote iOS developer job at a SF based startup. As it wasn’t enough, today I got enrolled to Udacity Deep Learning Nanodegree Program. Hooraayyyyyyy 👊💪🍾

As a part of the program, I had to refresh my knowledge about Anaconda. It’s very easy to install. Go to the website, and download appropriate version and install it.

Create New Virtual Environment with Python3

conda create -n env_name python=3

Start Using Specific Virtual Environment

conda activate env_name

Stop Using An Environment

conda deactivate

Remove Existing Virtual Environment

conda env remove -n env_name

Install A Package

conda install package_name

Remove A Package

conda remove package_name

Now that, you know most widely used commands, let’s shift the gear and learn how to export and import environments to use it in our later. This will be useful if we share our codebase with others.

Exporting An Environment

conda env export > environment.yaml

This command will create a file named `environment.yaml` which contains all installed conda packages with installed versions.

On top of conda, we might be also using pip to install some of our pacakages. If we do that, it would be good to export/import it as well.

pip freeze > requirements.txt

Importing An Environment

conda env create -f environment.yaml

Now, lets import pip environment as well.

pip install -r requirements.txt

Hope, this little tutorial is helpful for you peeps. 😉 See ya! 👋