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lukesingham.com
| | zietlow.io
2.8 parsecs away

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| | Basic data structure and algorithms implemented within go
| | initialcommit.com
3.1 parsecs away

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| | The graphs in computer software are a little different from the bar graphs in high school. Sure, they are still a mapping of relations just represented differently.
| | bayesianneuron.com
3.6 parsecs away

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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.
| | www.timdbg.com
23.0 parsecs away

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| [AI summary] This article provides an introduction to reading x86 assembly language, emphasizing its importance for understanding how programs operate at a fundamental level. It covers the basics of assembly syntax, common instructions, and practical tools for reading and analyzing assembly code. The author explains that while assembly is often viewed as complex, it's actually more approachable than many believe, especially for debugging and reverse engineering tasks. The article also highlights the differences between Intel and AT&T syntax, the structure of assembly instructions, and the role of registers and memory addressing in x86 architecture.