Up to 25 times faster than df.loc by combining np.select and numexpr.evaluate (works with utf-8)

Calculate overlapping values between two arrays and return the results as a DataFrame

Counts the unique colors in an image and returns a DataFrame with color counts and optional color coordinates.

Uses pandas/numpy/numexpr for operations on pictures - very fast

Finds rectangle intersections

Converts an image to ASCII art using numpy / numexpr / cv2

Splits the elements in a Series using a common separator character and returns a DataFrame.

finds sequences [3, 4, 5] in NumPy arrays [1, 2, 3, 4, 5, 1, 2, 3, 4, 5] - result: [2 7]

Fast multitemplate matching with support for different sizes using numexpr / cupy / fftw / scipy / multiprocessing

Pandas DataFrame/Series operations 8 times faster (or even more)

Um projeto de calculadora desenvolvido em Python utilizando a biblioteca PySide6 para criar uma interface gráfica intuitiva. A calculadora oferece funcionalidades básicas de cálculo, como adição, subtração, multiplicação e divisão.

Get the difference between 2 images

Locate RGB values in a picture! 40x faster than PIL, 5x faster than numpy

faster image quality metrics than skimage (PSNR, SSIM, MS-SSIM)

Create easy-to-use Query objects that can apply on NumPy structured arrays, astropy Table, and Pandas DataFrame

Generic Optimization by Genetically Evolved Operation Trees

The NumExpr library is designed to handle and evaluate arithmetic expressions. It enables parsing and analyzing expressions, as well as performing calculations with user-defined functions