Interesting!!!

Check out "Scientific computing with python" at freecodecamp.org . Once done you can also get a free certification after completing certain challenges.

Any dev company would do, just that I should feel motivated and inspired to work there and this happens only when the whole team is highly energetic and filled with passion to build something really amazing.

I was gonna move to GitLab for the private repos but now I think i'll stick to GitHub. And after the Microsoft acquisition of GitHub, many devs did migrate to other platforms but with this new move, maybe they'll switch back to Github, just like you said- more competition for GitLab for sure.

I like to hangout with my friends, and mostly I either try singing and play this little instrument called ukelele. or I draw something. else I'm reading or writing something or on Instagram :D

Trying to get some real good grip on javascript, understnad the concepts real well and hopefully build small web applications to test my learning!! And then I think, a bit of python in order to explore ML!!

Yes, I had put the script tag in the head section. Thank you so much for the detailed explanation, it cleared so many things. and i'll definitely improve my code :) .

1)Step by step hands-on guide. 2)how to debug errors efficiently 3) And tricky exercise revolving around what i've learnt fro that particular chapter.

While learning something new, I'd prefer to have some kind of guide, so that I understand the basics properly. Later it's definitely the vast ocean of Internet.

If you want to study machine learning in data science then kaggle is the best place to start with. They have hands-on tutorials that'll help you in getting started with the data and machine learning.