If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

We have refactored the entire library to make it easier to understand and use. To avoid installing extra dependencies for additional features, we have commented out the non-numpy dependencies. If you ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for ...

The following is the textbook used for the Scientific Computing Chemists course intended to teach chemists and chemistry students basic computer programming in Python and Jupyter Notebooks and ...

C tool with 125 MS/s sampling—perfect for fieldwork, classrooms, or your desktop Compact, cost-effective i.MX 91 development board optimized for embedded Linux development Building an indoor ...

本文的目的，是让你相信把 Rust 与 Python 结合并不难。 Rust 负责高性能与安全，但上手曲线更陡；Python 负责极快迭代，但存在性能上限。 Python 与 Rust 风格截然不同，但组合起来却意外合拍。在讨论如何把二者拼在一起之前，先快速认识一下 Rust。你大概听过它的 ...

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark ...

传感器监控、安全运营、欺诈检测——这些场景都需要及时发现异常状况。但是问题在于，异常样本出现频率低导致标注数据稀缺，监督学习模型难以构建。虽然异常(anomaly)和新颖性(novelty)这两个概念经常混用，但它们在建模假设和处理流程上存在本质差异。