What is Anaconda?
Who uses Anaconda?
Why developers like Anaconda?
Here are some stack decisions, common use cases and reviews by companies and developers who chose Anaconda in their tech stack.
Jupyter Anaconda Pandas IPython
A great way to prototype your data analytic modules. The use of the package is simple and user-friendly and the migration from ipython to python is fairly simple: a lot of cleaning, but no more.
The negative aspect comes when you want to streamline your productive system or does CI with your anaconda environment: - most tools don't accept conda environments (as smoothly as pip requirements) - the conda environments (even with miniconda) have quite an overhead