Please respond to this tweet with any mistaken perceptions or practices you had when you first started out doing data science work that you can still remember, even though you're now experienced.
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Replying to @generativist
When I first started analyzing data (in Python) I relied too much on object-oriented programming. If I was analyzing census data, I'd create State + County classes, with methods like get_population() / plot_income() You can burn 1000s of lines of code and feel totally productive
6 replies 6 retweets 105 likes -
Replying to @drob @generativist
David Robinson Retweeted David Robinson
Now that I'm looking at it, a common thread of my mistakes was that I tricked myself into feeling productive without getting very much donehttps://twitter.com/drob/status/1135922953776979974 …
David Robinson added,
David Robinson @drobAs an undergrad researcher I thought that the longer something took to run the more impressive the results would be, and I loved training models overnight. Even worse, if a model trained quickly I found it unsatisfying. Learn to love quick results! https://twitter.com/generativist/status/1135598900893536256 …1 reply 2 retweets 13 likes
💥 (wannabe) Ƀreaker of (the Bad) Loops 💫 Retweeted 💥 (wannabe) Ƀreaker of (the Bad) Loops 💫
Oh, I get that one,https://twitter.com/generativist/status/767331531522211840 …
💥 (wannabe) Ƀreaker of (the Bad) Loops 💫 added,
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