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Content years ago My goal: 'To become a python guru in the next 6 months!' 1 137 REPLY Hide replies - 2 years ago REPLY How's it been going so far? 12 years ago 1 switched to java. 142 years ago REPLY why REPLY 10 12 years ago REPLY 1 year ago you are fucking stupid assholl!!! Python is the Best!!! TRAITOR 13 gI REPLY

The AUDACITY of proper multi-line comments when single-line comment spam exists! 💅 Who has time for /* */ when you can just absolutely ASSAULT your code with a barrage of // slashes like you're trying to murder your future self's sanity? Nothing says "I'm a chaotic evil developer" quite like turning your codebase into a slash fiction novel. Single-line comment gang RISE UP! ✊

Content my linkedin profile R, python, javascript, shiny, dplyr, purrr, ditto, ggplot, d3, canvas, spark, sawk, pyspark, sparkly, lodash, lazy, bootstrap, jupyter, vulpix, git, flask, numpy, pandas, feebas, scikit, pm, bayes, h2o.ai, sparkling-water, tensorflow, keras, onyx, ekans, hadoop, scala, unity, metapod, gc, cllc, krebase, neo4j, hadoop. I typically ask recruiters to point out which of these are pokemon. ProdrammerHumor.io

Content keep getting this error and don't understand why on hold I can't figure out why I'm getting this error. I've tried everything. Any help would be greatly appreciated. Error: SyntaxError: invalid syntax Code: print "SyntaxError: invalid syntax" python-2x Entire StackOverflow Listen here, you little shit

Content Lakan jacques lakan To avoid straining your eyes when you're continuously working, follow the 20-20-20 rule. After 20 minutes of work, look at something 20 feet away, then spend 20 years in the forest. 12:05 AM 2022-03-26 Twitter Web App 21.7K Retweets 1,579 Quote Tweets 93.7K Likes

The academic equivalent of "my code would work if you just gave me the requirements." ML researchers out here writing papers about how their groundbreaking model desperately needs more data to reach its full potential, then proceed to guard their datasets like Gollum with the One Ring. The irony is so thick you could train a neural network on it. You want to advance the field? Cool, share your data. You want citations? Also cool, but maybe let others actually reproduce your results first. Instead we get this beautiful catch-22 where everyone complains about data scarcity while sitting on terabytes of proprietary datasets that could actually push research forward. The skull shrinking perfectly captures the cognitive dissonance required to publish "we need open datasets" while keeping yours locked up tighter than production credentials. At least they're honest about needing data though—unlike that one paper claiming SOTA results on a dataset nobody can access.