However, these methods fall short in flexibility and scalability when applied to function spaces, exposing a critical limitation that researchers sought to address. Researchers from NVIDIA and Caltech ...

nvmath-python brings the power of the NVIDIA math libraries to the Python ecosystem. The package aims to provide intuitive pythonic APIs that provide users full access to all the features offered by ...

This research contributes to enhancing spreadsheet capabilities for end-user programmers by leveraging Python’s power within Excel. Future research could explore expanding data analysis capabilities ...

Another powerful library for speeding up math operations is Numba. Write some Python code for numerical manipulation and wrap it with Numba’s JIT (just-in-time) compiler, and the resulting code ...

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

Python has grown in popularity over the years to become one of the most popular programming languages for machine learning (ML) and artificial intelligence (AI) tasks. It has replaced many of the ...

Numpy is a Python library that can be seamlessly utilized for large multi-dimensional array and matrix processing. It uses a large set of high-level mathematical functions that make it especially ...

SymPy, (49) or Symbolic Python, is a Python library aimed at evaluating mathematical expressions in a symbolic way rather than numerically. It has extensive functions that can compute derivatives and ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Cephes4py is a Python interface to the HCephes library, which is a reformatted version of Netlib Cephes. It provides a convenient way to access the functionality of the HCephes library within Python.