Windows wins here with its Excel and easy presentation techniques. When dealing with metadata, which is what data scientists are popularly known to do in their daily work life, there needs to be a good tool or set of tools for arranging data. Linux has Libre Office but Windows’ Microsoft Office is much more powerful.
Majority of the Linux software is free and open source. Compared to Linux, Windows has considerably less number of free products. The open source contribution could be a small modification or feature enhancement of an already existing software or it can even be a completely new application. Regular users and programmers contribute applications all the time. Linux has all of the features you can need in an OS and it is fully hardware compatible. Not only one is getting the software for no charge but also has the option to modify the source code and add more features if you understand the programming language. It has many applications and features suitable for the data science community. So data scientists, who are also generally avid enthusiasts of open-source projects, can contribute to the Linux community and suggest changes according to the work of data scientists. Accessing, scrubbing and deploying data is far easier in Linux than in Windows. Because of this, one can run on older hardware for longer without having to worry about new resources being available to one’s applications. If Windows is given 8 gigs of RAM it runs poorly for functions as heavy as the job of a data scientist. The amount of resources that it takes to run is much less than that of Windows. It has great flexibility of functionality. It can be made to run on almost anything and everything. Software on Linux comes with more features and greater usability than software on Windows. One could search for a text editor on Freshmeat and get a number of results. Linux has many software choices when it comes to doing a specific task compared to Windows. For GPU-accelerated algorithms, Linux definitely wins. To run the Docker containers on NVIDIA Docker, which is an NVIDIA GPU, one can only use a Linux host machine. It helps to create independent containers to run the algorithms, some of which are capable of running at a fast speed only on GPUs and not CPUs. Windows is not a very good platform as it fails on the computing speed compared to Linux.Īnother aspect is the use of Docker which lets one develop experiments that can run simultaneously without interfering with each other. Data scientists run data so large in number that it gets difficult to handle. The computing power of Linux is much more than that of Windows, plus it comes with excellent hardware support. Speedĩ0% of the world’s fastest supercomputers run on Linux, compared to the 1% on Windows. But in this article, we will talk about which of the two operating systems is better for the role of a data scientist. There is no conflict that Linux is a better option than Windows for programmers.
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