In this article we will see how to use virtual environments to manage Python projects. We will see that it is possible to have a different Python version for each project, and also how packages and dependencies are controlled.
You have probably heard of data science or machine learning. And you may also have heard of, or worked with, the R or Python languages. Today’s article is about Anaconda, a distribution that aims to make it easier to install and manage tools for these two languages, especially for scientific applications.
SpeedCrunch is a high-precision scientific calculator with a simple but highly customizable interface. It has a large collection of constants and functions. Free and open source.
