How to use python code in django

In today’s post, we’ll see how to create development environments and how to install Django using the Anaconda distribution.

In my Data Analysis and Data Science with Python posts, I always recommended the use of the Anaconda distribution to start working with the language.

It is tested and used by thousands of people and it already comes with lots of important Python packages. Anaconda also comes with . works as an environment and package manager.

Miniconda install django

Regarding environments, its functioning is similar to . In this way, you can use it to create environments, where projects will have their own isolated configurations and packages installed, not messing with other projects setup. This is considered a good practice, because when you are working with more than one project, you can quickly start to have version conflicts between packages versions and Python’s version itself.

Regarding Anaconda installation, I already talked about it in this post, so, if you still don’t have it installed, it is pretty simple.

Now, let’s talk about the creation of environments using , and af

anaconda python and django