Sematic + Ray: The Best of Orchestration and Distributed Compute at your Fingertips

1

PyTorch

Do quick and efficient distributed training on a PyTorch image classifier using PyTorch Lightning and Ray.

#Data Science And Machine Learning #Data Science Tools #AI 106 social mentions

2

Pandas

Sometimes, two tools seem to “just fit” together, and you forget that you’re even working with multiple tools as the lines blur into a coherent experience. One example that every ML Engineer or Data Scientist is familiar with is numpy and pandas. Numpy enables fast and powerful mathematical computations with arrays/matrices in Python. Pandas provides higher-level data structures for manipulating tabular data. While you can of course use one without (explicitly) using the other, they complement each other so well that they are often used together. Pandas works as a usability layer, while numpy supercharges it with compute efficiency.

#Data Science And Machine Learning #Data Science Tools #Python Tools 198 social mentions

3

NumPy

Sometimes, two tools seem to “just fit” together, and you forget that you’re even working with multiple tools as the lines blur into a coherent experience. One example that every ML Engineer or Data Scientist is familiar with is numpy and pandas. Numpy enables fast and powerful mathematical computations with arrays/matrices in Python. Pandas provides higher-level data structures for manipulating tabular data. While you can of course use one without (explicitly) using the other, they complement each other so well that they are often used together. Pandas works as a usability layer, while numpy supercharges it with compute efficiency.

#Data Science And Machine Learning #Data Science Tools #Python Tools 107 social mentions