When you get fascinated by a new language or on some occasions, need arises to learn a new or less experienced language, many newbies and even some professionals find it hectic to go through the initial stages of pre-learning or practicing those languages i.e Setting up the environment.
Many of the systems give the programmer hard time as many times you have to at least watch 2 setup videos or go through big documentation page of that programming language's setup and installing guides and even after that you still can code because there might arise error in your code because of some missing setup constraints.
As a student, these problems arose almost every time for me and made my enthusiasm drain. Much important stuff was getting skipped just because the solution was too complicated to be understood by me at that time or my system configuration was not up to the mark.
The list mentioned below are some online editor I came to know in the journey of coding. I found them really powerful, time saver and (especially for me) enthusiasm saver as well.
ONLINEGDB
I came across this site when the need for a small logical python block of a mini project needed to be tested and I felt lazy to make a new page or comment out the rest of logical blocks just to output one that I wanted.
This site stands out for me as it was really cool and supported many mainstreams as well as non-trending programming languages as well.
Many of my colleagues used this for building the logic of competitive programming solutions as the test cases make the result calculation a little bit slower and also individual logic blocks verification seems hard as UNSUCCESSFUL really flashes in your face.
JSFIDDLE
If you're just starting to try out JavaScript or your quite experienced but need fast results on one page of code and results itself embedded into it then this website does it all for you
It also comes with much cool features and an attractive GUI is very easy to use even for a beginner
COLLAB by GOOGLE
Aspiring data scientists and AI beginner's enthusiasm comes to hault frequently for reasons that many of them faces in the beginning or many at their intermediate level as well.
The problem of installing packages especially in Python and if you have a mediocre system specification then and you're just starting out then this problem occurrence probability is quite high.
Windows 10 or any other Microsoft OS doesn't make it easy for Data scientists to start out exploring data easily, Thats where collab comes into picture.
Need to worry about version control is eliminated efficiently by this online tool and one can easily start coding without installing heavy dependencies.
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