Articulating the ineffable. Programming language theory 
cognitive psychology. PhD @Stanford
You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
Pandas is such a unique learning experience. It's the only tool where my mental model changes substantively every time I use it. Yet, I find Pandas hard to "properly" learn because all the tutorials are boring stock market examples.
There's infinite cases where I can articulate the high-level task, and have no idea how to accomplish it without a for loop & iterrows.
Like today, I wanted to filter outliers within a group defined by two columns. Found an SO post about doing this within a single-column group. It used a novel mechanism (broadcasting between dataframes of different sizes) and I kept failing to transfer the example to my task.
Maybe Pandas is just overly complex. I liked @yifanwu's example of 8 different ways to filter a dataframe.pic.twitter.com/J3xLfiVHeG
But at the same time, for the parts of the programming model that I do understand, I feel really productive. It's like a beautiful mix of SQL and jq. I never have to use a for-loop, and I rarely even need a higher-order function.
out if curiosity, have you tried taking the tasks you do with for loop and iterrows and tried to translate them into something more "pandas native"?
My knee jerk is that you probably want to break up operations instead of doing them all at once. like, maybe you're using a for loop to accumulate into variables, but you could make new columns and then aggregate them; something like that
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
