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ondrejcertik.com | ||
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www.matecdev.com
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| | | | | Combining the incredible flexibility of Python with Fortran for high-performance number-crunching is an excellent idea, especially if you already have some legacy Fortran code hanging around. Here's how to do it. | |
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tomaugspurger.net
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| | | | | Today we released the first version of dask-ml, a library for parallel and distributed machine learning. Read the documentation or install it with pip install dask-ml Packages are currently building for conda-forge, and will be up later today. conda install -c conda-forge dask-ml The Goals dask is, to quote the docs, "a flexible parallel computing library for analytic computing." dask.array and dask.dataframe have done a great job scaling NumPy arrays and pandas dataframes; dask-ml hopes to do the same in the machine learning domain. | |
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jakevdp.github.io
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| | | | | [AI summary] This blog post compares the performance of Numba and Cython in optimizing pairwise distance calculations, highlighting Numba's significant speed improvements over previous versions and its ease of use. | |
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www.jeremykun.com
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| | | Last time we covered an operation in the LWE encryption scheme called modulus switching, which allows one to switch from one modulus to another, at the cost of introducing a small amount of extra noise, roughly $\sqrt{n}$, where $n$ is the dimension of the LWE ciphertext. This time we'll cover a more sophisticated operation called key switching, which allows one to switch an LWE ciphertext from being encrypted under one secret key to another, without ever knowing either secret key. | ||
