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Computer coding for science

ยท 2 min read
Ali Safari
Sci. App Dev. @ XiTechniX

The statistical package R for many researchers is their first experience to the programming world. This free and popular statistical language is available in online repositories. R can perform powerful data manipulation as well as data visualization.

However, programming for a reasearch focused branch is not limited to R any more, but highly likely starts often with R.

Sometimes, having knowledge in other operating systems other than the popular Windows is needed. Sometimes, an analytical tool require a Linux Operating System. In such case, maybe you need to set up a virtual machine (VM), in order to install and work with a linux based software.

Fortunately, by having the Internet and googling in you side, you can have access to a lot of open source packages and shared repositories that are developed by both researchers and professional developers.

Nowadays, as a researcher if you want to do an analysis, most probably you can find a software or a tool that is available online, or can be further developed by you to fulfill your requirements.

This is the way that science trajectory is leading to, and to be a successful researcher you need to gain some knowledge and skills in computer programming.

As a developer for scientific applications, I have the passion and motivation to go further across deciplines and share my knowledge in programming with scientific comunities and developers.

Welcome!

ยท One min read
Ali Safari
Sci. App Dev. @ XiTechniX
Hi there!#
This is Ali!#

And this is the repo contains the code and content that empowers my website. All the content is generated with Docusaurus, a modern Static Site Generator, in which using a static contents hosting service the content can be served. You may view the site at my website.