NumPy NumPy is the core library for scientific computing in Python. It It adds support for large, multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays. Installation The easiest way to get NumPy installed is to install one of the Python distirbutions, like Anaconda, which include all of the key packages for the scientific computing stack Usage To start using NumPy you need to import it
Data Science Getting Started Platform To get started quickly with data science, I started looking at python and its powerful set of libraries (like pandas, NumPy, Scikit-Learn, etc) that makes data analysis easier. I wanted to have a platform that is accessible over the internet so I can get to it from any laptop/PC that has internet access. I decided to get a minimal Virtual Private Server (VPS) that supports containers so I can set up a Docker container with all the languages and frameworks/libraries/tools and mount a path on the VPS that contains all the projects I am working on, which will be checked in to git.
