IssueRaiser

> single-binary deployments More than performance (pure Python can be too slow, but NumPy is usually fast enough), this is what I miss ...

> single-binary deployments More than performance (pure Python can be too slow, but NumPy is usually fast enough), this is what I miss when using Python. There's currently no good solution for bundling Python code and the interpreter into a single binary. PyInstaller works, but the resulting binaries write lots of files to `/tmp` every time they run, which is a hack that leads to long startup times. PyOxidizer avoids this, but includes the entire standard library in every binary, making them too large by an order of magnitude.

Posted by pansa2 on Oct 29, 2020, 12:33 AM

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> single-binary deployments More than performance (pure Python can be too slow, but NumPy is usually fast enough), this is what I miss ...

pansa2Oct 29, 2020, 12:33 AM

> single-binary deployments More than performance (pure Python can be too slow, but NumPy is usually fast enough), this is what I miss when using Python. There's currently no good solution for bundling Python code and the interpreter into a single binary. PyInstaller works, but the resulting binaries write lots of files to `/tmp` every time they run, which is a hack that leads to long startup times. PyOxidizer avoids this, but includes the entire standard library in every binary, making them too large by an order of magnitude.

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