作为数据科学家，从加载数据到创建和部署模型，我们几乎每天都在使用Jupyter notebook。 Jupyter Notebooks使用非常简单并且对于任何面向python的任务都可以非常方便的使用。只要它的内核处于活动状态，就可以用数据子集运行和测试脚本，而不用每次重启程序，这样 ...

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Overview The Jupyter notebook system gives Python users a visual, interactive way to run code, display the results, and share the source with others. But Jupyter notebooks have limited interactivity.

In what might be seen as a challenge to the super-popular combination of Visual Studio Code and its Python extension, JetBrains is testing its own IDE for data scientists. Called JetBrains DataSpell, ...

在日常数据分析和开发工作中,我们经常会遇到这样的困扰: • Jupyter 等工具在处理大量并发时性能下降明显 • 现有笔记本工具内存占用大,启动速度慢 • 云端解决方案如 Databricks 价格昂贵且需要依赖网络 • 本地计算资源无法得到充分利用 正是基于这些实际 ...

Alpine Data Labs is continuing its efforts to bridge the gap between data scientists and the C-suite with release 6.0 of its Chorus analytics platform. Chorus is a data science and machine learning ...