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Making sense of the AI we're being sold
MP #13: The AI we're wrestling with is not the kind we were told to watch out for.
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MP #13: The AI we're wrestling with is not the kind we were told to watch out for.
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MP #12: When to consider using arrays
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MP #11: We've all been there, but there's a lot you can do to get back up to speed.
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MP #10: Profiling Python code to support focused optimization efforts.
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MP #9: Be careful trying to learn with ChatGPT.
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MP #8: When are tuples a better choice than lists?
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MP #7: A clear, well-documented process is really helpful.
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MP #6: How cleanly and directly do different sites present the correct answer?
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MP #5: Understanding comprehensions
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MP #4: Code is just one thing to think about in a real-world project
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MP #3: When lists break down...
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MP #2: Why lists in Python are so clean
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16 years and counting...