Fast numerical computation library for Python
This project has been quarantined.
PyPI Admins need to review this project before it can be restored. While in quarantine, the project is not installable by clients, and cannot be being modified by its maintainers.
Read more in the project in quarantine help article.
Project description
turbocalcng
Fast numerical computation library for Python.
Features
- Arithmetic — optimized basic operations with caching
- Statistics — mean, median, variance, standard deviation, percentiles
- Linear algebra — vector/matrix operations (dot product, matrix multiply, determinant, inverse)
- Calculus — numerical differentiation and integration
- Parallel — automatic parallelization for large datasets via
concurrent.futures
All operations work on plain Python lists — no external dependencies required.
Installation
pip install turbocalcng
Quick start
from turbocalcng import stats, linalg, calculus
# Statistics
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print(stats.mean(data)) # 5.5
print(stats.stdev(data)) # ~3.03
print(stats.percentile(data, 75)) # 7.75
# Linear algebra
a = [[1, 2], [3, 4]]
b = [[5, 6], [7, 8]]
print(linalg.matmul(a, b)) # [[19, 22], [43, 50]]
print(linalg.det(a)) # -2.0
print(linalg.inverse(a)) # [[-2.0, 1.0], [1.5, -0.5]]
# Calculus
import math
print(calculus.derivative(math.sin, 0)) # ~1.0
print(calculus.integrate(lambda x: x**2, 0, 1)) # ~0.333
Publishing to PyPI
pip install build twine
python -m build
twine upload dist/*
