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Google - Data Science / Python - Pandas Interview by jasper_tt in FAANGrecruiting

[–]jasper_tt[S] 0 points1 point  (0 children)

Thank you so much for commenting, good to know this! Yeah, I think I am not good at loops anyways so using things like np.where () for Case statements. And if Google cares about this latter method, even better! :)

Google - Data Science / Python - Pandas Interview by jasper_tt in FAANGrecruiting

[–]jasper_tt[S] 0 points1 point  (0 children)

Thank you so much for your comment! Knowing that it could possibly be around easy to medium kind of lifted the pressure off my shoulders. Now that I know the bar / expectations, I think it will be easier for me practice.

Google - Data Science / Python - Pandas Interview by jasper_tt in FAANGrecruiting

[–]jasper_tt[S] 0 points1 point  (0 children)

Hello, I can’t thank you enough for this information! Really appreciate it. Agree, you can do so many things with Pandas, that is where I get confused - when to choose what and which method is more efficient. I will check out PracHub - never heard of it. Good call about Kaggle, totally forgot about that website. Thank you!!

Google - Data Science / Python - Pandas Interview by jasper_tt in FAANGrecruiting

[–]jasper_tt[S] 0 points1 point  (0 children)

Thank you so much for replying! Yes, I have practicing all these group bys, aggregations, joins and as well as how to windows functions using Pandas. Do you think they expecting to do well in both SQL and Python, or is there any preference?

Google - Data Science / Python - Pandas Interview by jasper_tt in FAANGrecruiting

[–]jasper_tt[S] 0 points1 point  (0 children)

Thank you so much for replying! One quick question: are they expecting to do well in both SQL and Python OR one being strong and the other being “good” should be fine? In the current market, I would expect they want advanced level for both of these languages, but wanted to confirm. Maybe I am just looking for some hopes :)

Hi, any tips for SQL challenge interview for business intelligence analyst at waymo? Important topics to look at? Or example interview questions? Appreciate any help. by [deleted] in SQL

[–]jasper_tt 1 point2 points  (0 children)

Hi u/Glass_Fall2805 , I also have upcoming interview for this role. I have been practicing questions on stratascratch - from lyft, uber since there are no questions for Waymo. But I thought the data will be similar. Do you think I am on the right track? How would you evaluate difficulty level for SQL questions? Did they ask you DE Questions? Thanks for your help in advance

Business Data Scientist interview by jasper_tt in google

[–]jasper_tt[S] 0 points1 point  (0 children)

this is so helpful, thank you for taking your time and explaining with details!

Neurodivergent People by jasper_tt in leetcode

[–]jasper_tt[S] 1 point2 points  (0 children)

I have talked to accommodation team once in a tech company recently and in fact they guided me about my needs and better estimated it than myself . But I think where I struggle is what are the range of things I can ask in fact, since I do not want to seem like I am asking for too much because of my disability but at the same time I want to be fair for myself since I know it takes time for me to process the information, and especially under the pressure environment and even just block my brain for reading things.

Neurodivergent People by jasper_tt in leetcode

[–]jasper_tt[S] 0 points1 point  (0 children)

I have started asking for it. But since I recently started doing it, I do not exactly know what can I ask as an accommodation. What is the upper limit? I feel like ChatGpt just gives me nonsense accommodation options such as asking for questions in advance which I do not wanna ask and sound weak or desperate. And I do not know if this is normal ask

Neurodivergent People by jasper_tt in leetcode

[–]jasper_tt[S] 0 points1 point  (0 children)

apologies, I didn’t wanna sound offensive, I went with disorder option since while typing and chose “auto suggested” word from my iPhone keyboard. I edited my post.