Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...

There's been a running conversation among us about holding offline events, in collaboration with other communities, as a way to grow SciPy India beyond our online calls. BangPypers was the natural ...

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...

The atlassian-python-api library provides a simple and convenient way to interact with Atlassian products (such as Jira Service management, Jira Software, Confluence, Bitbucket and apps Insight, X-Ray ...

PhysioDSP 是一个开源 Python 库，目标是改变这种局面。它给出了一套统一、可扩展的框架来处理和分析生理传感器数据，核心关注点放在算法一致性、类型安全与可复现性上。项目托管在 GitHub，pip 安装即可使用： ...

Fast updates and fast environment switching make switching to Pixi worth it.

This important study combines real-time key point tracking with transdermal activation of sensory neurons as a general technique to explore how somatosensory stimulation impacts behavior in freely ...

Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...

在衡量大语言模型（LLM）代码生成能力的竞赛中，一个日益严峻的问题正浮出水面：当模型在 Humaneval、MBPP 等经典基准上纷纷取得近乎饱和的成绩时，我们究竟是在评估其真实的泛化推理能力，还是在检验其对训练语料库的「记忆力」？ 现有的代码基准正面临两大核心挑战：数据污染的风险，以及测试严谨性不足。前者使评测可能退化为「开卷考试」，后者则常常导致一种「正确的幻觉」（Illusion of Co ...

为了打破这种「高分幻觉」，来自北京航空航天大学的研究团队提出了一种全新的基准构建哲学 —— 双重扩展（Dual Scaling），并基于此构建了端到端的自动化框架 ...