It doesn’t matter what is the operating system but, the programs and the tools that you’re using are going to determining the factors of being able to be a high-quality Data Scientist, Analyst, Big Data Scrubber, etc. This post will help you to choose an OS for Data Science.
The Operating system is not what matters to you in the data science industry. Its the programs and various tools that you’ll be using. Certain tools and certain programs only run on a certain operating system. One must check the prereqs on the operating systems that you’re going to be diving into. Still, there are many grounds through which you can judge which operating system will work better for your job. The major issues of confusion are between Linux and windows, which must be preferred in the data science field.
Here Are The Five Factors You Should Consider for OS
Apparently, 90% of the world’s supercomputer works on Linux and only 1% of the computer work on the Windows Operating system. The computing power of Linux is much much faster than the windows. As earlier stated, the choice mostly depends upon your preferred programming language and tools that are available on the operating system. Linux provides excellent hardware support as well as tools that would be required.
Windows don’t provide as good of the computing speed as compared to that of Linux. Linux also provides us with the use of Donkers, which lets one development run isolatedly and simultaneously without any interference or overlapping. the algorithms running on the donkey are capable of running on fast speeds that are only possible on GPUs, not in CPUs, which can only be hosted by using the Linux host machine.
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Linux again provides a variety of choices in the software when it comes to doing any of the specific tasks, comparing to windows. The software comes with more features and more functional Softwares than windows.
Linux is very limber. you can run anything and everything on Linux because of its functionality property. it requires less quantity of source than windows to run any software. Windows might run poorly for some heavy programs that are constructed by data scientists. Linux would perform the same function at lower RAMs. but at a good speed. This leads to the durability of the older hardware.
4. Free Applications
This we all know that Linux Os is free, also open-sourced. The data scientist who is fanatic about working on open projects can make a contribution with the help of the Linux community by providing suggestions according to a data scientist designation. It also comes with many useful and helpful application with the feature that is suitable for the data science field. You get the software with no charge as well as are also allowed to have changed in the source code which can turn the simple application into something new with different modifications.
5. Presentations and Worksheets
Linux has Libre Office whereas Windows comes with Microsoft Office, which is more robust than the prior. One of the tasks that data scientist has to do on a regular basis is dealing with the metadata, needs to have a set of great powerful tools for managing data. Windows let us a much easier platform for handling spreadsheets and word processing.
I hope now it is clear that which OS should you choose for Data Science? It’s always better to pick Linux over Windows, as it provides a more developer-friendly and gives a more flexible and accessible platform than windows. Comment down what you think is the better Os?