nuitka
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Numba
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nuitkaBased on our record, NumPy should be more popular than nuitka. It has been mentiond 107 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is a good place to mention https://nuitka.net/ which aims to compile python programs into standalone binaries. - Source: Hacker News / about 1 month ago
For Python, you could make a proper deployment binary using Nuitka (in standalone mode – avoid onefile mode for this). I'm not pretending it's as easy as building a Go executable: you may have to do some manual hacking for more unusual unusual packages, and I don't think you can cross compile. I think a key element you're getting at is that Go executables have very few dependencies on OS packages, but with Python... - Source: Hacker News / about 2 months ago
There is already an AOT compiler for Python: Nuitka[0]. But I don't think it's much faster. And then there is mypyc[1] which uses mypy's static type annotations but is only slightly faster. And various other compilers like Numba and Cython that work with specialized dialects of Python to achieve better results, but then it's not quite Python anymore. [0] https://nuitka.net/ [1] - Source: Hacker News / 5 months ago
Nuitka deals pretty well with those in general: https://nuitka.net/. - Source: Hacker News / 10 months ago
Have a look at Nuitka, which is a "real" Python compiler into C. It uses CPython in its backend and should be completely compatible to "regular" Python. The compiled code can, but does not have to improve performance. It's probably worth looking into. Source: about 1 year ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 8 months ago
PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...
OpenCV - OpenCV is the world's biggest computer vision library
Cython - Cython is a language that makes writing C extensions for the Python language as easy as Python...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
