These are my go-to libraries for Python data crunching.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on Colab. We start with the fundamentals of connection management ...

This project implements some basic functions related to 3D faces. You can use this to process mesh data, generate 3D faces from morphable model, reconstruct 3D face with a single image and key points ...

NumPy is ideal for data analysis, scientific computing, and basic ML tasks. PyTorch excels in deep learning, GPU computing, and automatic gradients. Combining both libraries allows fast data handling ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

Participate in the InnovateHER AI-ML Hiring Challenge to showcase your skills and gain career opportunities. Complete a Python Coding Assessment to evaluate programming and AI-ML problem-solving ...

Author: David M. Cooke, Francesc Alted, and others. NumExpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like '3*a+4*b') are accelerated and use ...

In today's data-driven world, organizations are inundated with vast amounts of data generated from various sources such as sensors, social media, and transactional systems. Effectively exploring and ...