At some point every Python developer writes a while True loop with a break, or a teetering stack of nested with blocks, and feels vaguely certain there's a better way. There usually is. The standard ...

用 NumPy 编写自定义算子 （ extend/customop.md ）：基于 mxnet.np 直接构建自定义 MXNet 算子； 后端算子开发 ：New Operator Creation（CustomOp Python 或 C++ 后端算子）、MXNet 后端 C++ 算子实现指南、以及用 RTC（Runtime Compilation）在 MXNet 中编写 CUDA 内核。

Python is a preferred programming language for image processing, thanks to its broad selection of libraries that accommodate various image processing activities. This article will explore some of the ...

A practical roadmap for data science beginners, covering fundamentals, key libraries, projects, and advanced skills. It focuses on real-world learning, avoiding common mistakes, and building job-ready ...

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 ...

Registration is open for the RCS Spring 2026 Tutorials. Please also be aware that we have lots of recordings and slides available from past tutorials by RCS staff and ...

A machine learning pipeline splits a complete machine learning task into a multistep workflow. Each step is a manageable component that you can develop, optimize, configure, and automate individually.

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 ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.