PHYS 1655

This class is very informative and actually teaches you things which you will use in industry whether its Data science, Physics, or statistics. There is 1 homework coding assignment and 1 reading assignment every week. The reading isn't hard takes less than 30 minutes but the homework can range from 30 minutes to 3-4 hours depending on how comfortable you are with the content. I typically spend less than 2 hours a week doing work for this class but I am also familiar with python. If you are not familiar with python then you will be spending 5-6 hours. But those hours will be worth it because they teach you valuable skills.

The first half of the course is learning the basics of python, the other half is using data science tools. It does take a bit to adjust to the linux environment but I find that it's not that bad once you get the hang of it. Plus in industry that's what is commonly used for data science.

Professor Group is an amazing Professor, he will always help you if you have questions. The course is made to teach you valuable things. I would recommend taking even if you don't want to do physics, and just want to learn data science.

if you don't already know much python, you should be highly motivated. I did not know python when I first went into class.
Excellent class, prepare to work!

The way this was advertised on the syllabus it sounded like a python for boomers class (i.e. no previous computer experience at all, for non cs ppl).
Imo as a certified boomer, it was not Y_____Y.
It was fire and brimstone every Monday and Wednesday in that class feeling like the only one who doesn't know C or Bayesian statistics or some obscure sounding thing to me that is apparently common knowledge to everyone else.
The only perk was we had Friday off so my soul could find some repose.
I'd never used GitHub in my life or Jupyter notebook or really any command line level stuff. But those all seemed expected of you?
All in all I don't regret the class. I felt like I did learn a lot by the end of the class. I went from not knowing any programming to knowing a bit of python to fit data to functions like gaussian and extract statistical information like means, errors, std. We also did some machine learning at the end which was cool. There's a lot of cool content in the class and prof is an interesting lecturer.
I ended with a 98, but only because a lot of the work is completion, i mean if you got stumped early in the code you cant really skip around like a math worksheet. So it would have either been a 98 or 70.
Just. I had a lot of stress and used a lot of my otherwise free time to keep up in the class.
Ur grade is mostly HW and those are all soft deadlines. Class ‘lab’ is a 100% everyday; you just work through a Jupyter notebook and leave when you’re done.
If I had a list of things I needed to know before the class that would've made my experience a lot better.
I guess if u are someone who knows nothing about computers like me, its a question of do u have the time/value ur sanity. You’ll probably end w an A if u work hard. But at what cost Y___Y.