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denvaar.dev | ||
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lambdaland.org
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| | | | | This is the story of how I solved a problem (ugly, cumbersome boilerplate code) that I ran into while writing a program in a functional language (Elixir). Functional programming languages often pride themselves on expressiveness and elegance; but occasionally they are not amenable to the most obvious solutions to the problems we wish to solve. In this case, the simplest solution to my problem would have been to have a global mutable variable. But no one likes those. | |
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culttt.com
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| | | | | Elixir is a functional programming language which makes use of the Pipe Operator to simplify the combining of functions and data transformations. | |
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degoes.net
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| | | | | Functional programming has a bit of jargon, but that doesn't have to stop you from understanding core concepts | |
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bayesianneuron.com
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| | | [AI summary] The user has shared a detailed exploration of optimizing the 0/1 Knapsack problem using dynamic programming with Python and NumPy. They discuss various optimization techniques, including reducing memory usage with a 2-row approach, vectorization using NumPy's `np.where` for faster computation, and the performance improvements achieved. The final implementation shows significant speedups, especially for large-scale problems, and the user highlights the importance of vectorization and efficient memory management in computational tasks. | ||