A collection of resources for pandas (Python) and related subjects.
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HTTP(S) benchmark tools, testing/debugging, & restAPI (RESTful)
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A summary from a Chinese author "bitcarmanlee". Chinese contents. Please go to the author's link https://github.com/bitcarmanlee/easy-algorithm-interview-and-practice
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Set of Jupyter notebook supporting articles on https://medium.com/@vdekanovsky
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These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
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Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs. From Samir Saci
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Build a simple methodology of Supply Chain Network Design that is considering the fluctuation of the demand.
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PyPortfolioOpt is a library that implements portfolio optimization methods, including classical mean-variance optimization techniques and Black-Litterman allocation
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Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics.
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The simplest, fastest repository for training/finetuning medium-sized GPTs.
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Neural Networks: Zero to Hero
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https://github.com/karpathy/makemore makemore takes one text file as input, where each line is assumed to be one training thing, and generates more things like it.
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Large Language Model Course
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