Python is a widely used general purpose programming language. It is a great first language for teaching purposes, and also a language that is in high demand in industry. Even better, it is free and open source, installed by default on most Linux and Mac OSX systems, and easily installed on Windows.
CentOS 7 is a rock-solid development and production platform, but this stability often means that default web-related packages are outdated. It turns out golang is no exception: the default CentOS 7 version is 1.4, whereas I wanted 1.6. There have been some changes in golang project layout between the two versions and I figured I may as well get with the program and update before starting a new API project.
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The Golang programming language is on a par with Python when it comes to ease of use, but the code compiles to a binary that runs almost as fast as C. So Golang is worth considering for any task that crunches large volumes of data. This is a curated list of Golang libraries useful in data science and related fields.
I recently upgraded my development laptop to CentOS 7 and while I was at it built a spare laptop running the same operating system. After manually creating a dozen MySQL databases and users and then importing their data from dump files on one laptop, I wasn’t interested in going through exactly the same process again on the second laptop.