Speed and time is a key factor for any Data Scientist. In business, you do not usually work with toy datasets having thousands of samples. It is more likely that your datasets will contain millions… (more…)
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Python has proven itself as a highly capable language — approachable for newcomers, but powerful in the hands of experts. Why shouldn’t you… (more…)
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nanobind — Seamless operability between C++17 and Python - GitHub - wjakob/nanobind: nanobind — Seamless operability between C++17 and Python... (more…)
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Rapid fuzzy string matching in Python using various string metrics - rapidfuzz/RapidFuzz... (more…)
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In this post I'll show how to JIT compile a tiny subset of Python into native
x86-64 machine code. (more…)
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