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by ziotom78
1800 days ago
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NumPy is not a good comparison, because Julia can produce faster code which takes less memory [1]. The Python library that is closest to Julia's spirit is Numba [2], and in fact I was able to learn Numba in a few hours thanks to my previous exposure to Julia. (It probably helps that they are both based on LLVM, unlike NumPy.) However, Numba is quite limited because it only works well for mathematical code (it is not able to apply its optimizations to complex objects, like lists of dictionaries), while on the other side Julia's compiler applies its optimizations to everything. [1] https://discourse.julialang.org/t/comparing-python-julia-and... [2] https://numba.pydata.org/ |
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