galois
NumPy
| galois | NumPy | |
|---|---|---|
| 1 | 272 | |
| 269 | 26,413 | |
| - | 1.1% | |
| 8.0 | 10.0 | |
| about 2 months ago | 3 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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galois
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New Python package for finite fields using NumPy arrays
I just released my first proper open-source Python package galois. It extends NumPy arrays to operate over finite fields (Galois fields), instead of just R or Z. The library uses Numba to JIT compile the finite field ufuncs. This means the finite field arithmetic is nearly as fast as C / native NumPy.
NumPy
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
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:
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Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
- help with installing numpy, please
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A Comprehensive Guide to NumPy Arrays
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.
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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NumPy 2.0 development status & announcements: major C-API and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
What are some alternatives?
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