Guide — Columbus
NumPy Inspector
Visualize any NumPy array with instant dimension awareness. Support for high-dimensional, large arrays.
import svetoviz_webgpu as sv data = np.random.rand(4, 4, 32, 32).astype(np.float32) sv.array(data, gap_size=10)Learn More
Please mention the word **EXCELED** and tag RMTM4LjE5Ny4yMy4yNTU= when applying to show you read the job post completely (#RMTM4LjE5Ny4yMy4yNTU=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
Visualize any NumPy array with instant dimension awareness. Support for high-dimensional, large arrays.
import svetoviz_webgpu as sv data = np.random.rand(4, 4, 32, 32).astype(np.float32) sv.array(data, gap_size=10)Learn More
Please mention the word **EXCELED** and tag RMTM4LjE5Ny4yMy4yNTU= when applying to show you read the job post completely (#RMTM4LjE5Ny4yMy4yNTU=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
