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Content Data scientists while their model is training

Drawing a circle in Pygame using pygame.draw.circle() is straightforward enough. But somehow, you'll end up with a hexagon. Then you'll fiddle with anti-aliasing, wonder if you need gfxdraw, question your coordinate system, adjust the radius by 0.5 pixels, and still get a hexagon. Eventually you just accept that circles are a social construct and ship it. The players won't notice if you call it "stylized art direction."

So Python the programming language is 27 years old (born 1991), but a ball python snake can live up to 30 years. Let that sink in. The reptile literally outlives the code you wrote in it. The guy's face says it all—first panel is like "oh cool, Python's been around for a while" and the second panel hits different when you realize nature's version has better longevity than Guido van Rossum's creation. Even funnier when you consider Python 2 basically died at 20 years old because nobody wanted to maintain it anymore, while the snake just keeps slithering along. Talk about choosing the wrong Python to invest in.

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Content C and JAVA developer: learning PYTHON PYTHON developer: learning JAVA and C

Six years into database work and still writing SELECT * then filtering in Python. That's like ordering the entire menu at a restaurant and picking out what you want at home. The beauty here is the contrast between understanding that SQL is "wild" with its declarative syntax and execution trees, yet completely missing the point by yanking all the data and doing the actual filtering in application code. It's the database equivalent of buying a sports car and only driving it in first gear. Pro tip: Let the database do what databases do best. Your network bandwidth and memory will thank you. Unless you're trying to justify that beefy server upgrade, in which case, carry on.