MIT Graduate. I make educational videos on Computer Science, Programming, Board Games, and more!
I found online videos to be extremely helpful as I progressed through the educational system growing up so I decided to make a channel of my own. Let me know what I should make next!
At 30:40, the code for athletes that start and end with the same letter throws an error. Can anyone suggest me the correct solution? I tried str.extract but I can't include the na=False since it's throwing an error. Wrong code - bios[bios["name"].str.contains(r'^(.).*\1$', na=False)] Correct code -??
I just double checked and I see that a warning pops up (but it's not actually an error). You can ignore the warning. That being said, you might not see results because the names start with an uppercase letter & end with a lowercase letter. You can fix this by passing case=False into.your str.contains() method (see below) Correct code: start_end_same = bios[bios['name'].str.contains(r'^(.).*\1$', na=False, case=False)]
Did anyone notice how our keith has been sneaking a quick peek to the right at the beginning in the last few videos? 😂 Seriously though, loving the content!"
Back when the first iteration was released i was in college having no idea about what a dataframe is now I'm a developer and still watching your videos. Thanks Keith for being a part of my learning journey❤
Would love to have a follow up video on seaborn from this guy with these same csv files shown. the parquet and excel files do not seem to want to copy paste from the browser when you select raw
Thank you for posting an updated tutorial! I'm now doing Harvard's Intro to Data Science, and your old tutorial really helped me! Keep up the good work
Thanks. While watching your introduction, I start to wonder if you're going to do a video on NumPy, especially when a major version has released. No hurry, please take your time. Thanks in advance.
@@KeithGalli dude this video was exactly what i was looking for as someone relatively new to python trying to get into data science. NumPy and Seaborn would be good follow up videos if you used the same data. The CSV files seemed to copy paste well from the browse but the parquet and excel did not want to and made me load as a .txt at that point i just crossed my fingers hoping you would use the csv and 20 mins in so far you have great video so far. excellent focus on detail great beginner level examples and functions...tried datawars and datacamp before coming here...thank you truely..
Hi Keith! At 51:04, We could've just sorted the list right? cities = sorted(df['City'].unique()) From what I've seen, groupby() always orders the data in ascending. So, sorting cities seemed like the solution.
