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today I choose violence

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Copy and paste from stack overflow
I did this on one project
KPMG speaking facts.
Pick something you want to do with it and tackle it. For example, automate a work flow. Working through the headaches will help you learn and a project that’s worth completing will keep you going.
Senior manager, data science instructor, and R&D lead here:
Pick a project you’d like to tackle and post it to your personal public GitHub. Doing coursework style knowledge consumption will help with the basics, but coding up the actual project you’d like to explore will kick your learning into high gear.
When ever I have someone I want to work with to “upskill” this is how I do it.
Tons of cool project ideas to get into. More than happy to discuss.
For myself or others?
For myself: I have a healthy set of industrial interests and problems I think are interesting.
For others: I ask as many questions as I can to learn about what they find interesting. Then we get to work trying to outline and build.
Throw in a dash of creativity and we are off to the races. Always happy to chat more.
Mentor
So much good advice in this thread
That said, I think the two are fairly interoperable at this point, but, take with grain of salt as I don’t really code much these days
Udemy and then doing the rxcercises with the video playing. Really pandas, loc/iloc is what you need. I struggle with functions to this very day lol
Yeah I can’t remember the function declarations for the life of me.
I review packages in R and Python daily - my team is multi-lingual…so I just have to do it both ways :)
I had an interviewer tell me once that my Python skills were not up to par. I told them: well you have half my experience, and I’ve got a 5 person team to run, you best be on your way, and hung up.
Delivered package that week triggering a new IP event at my company.
Use Google collab n kaggle and give yourself a scenario to extract information like you doing it for a client
Don’t worry fam. As a fellow R to Python user I got you https://pandas.pydata.org/docs/getting_started/comparison/comparison_with_r.html
Start using it. Maybe solve some problems you’ve done before in python.
If you know R, then it’s easy to just look for projects on Kaggle.com and study the Python code equivalent. Also you can try your hands on projects with Python yourself. A good online resource for studying Python for data analytics is w3school.com. Hope this helps.
I really like using Real Python as a source, they’ve even got a great podcast.
Quickest is codeacademy. It cost a bit of money but the Python path is really good.
Datacamp
Dataquest is expensive but it dunks on datacamp and forces you to code everything. Maybe just do a couple months. I learned a ton.
Thanks for the advice everyone! Going to check these ideas out!! Much appreciated! 😊
no one here said read the python docs? 😅
Mentor
Nerd alert
Also r is vectorized Python isn’t
huh i always thought python was vectorized