What is the translation of " JUPYTER NOTEBOOKS " in Chinese?

• jupyter notebook
• jupyter notebooks
• jupyter笔记本

Examples of using Jupyter notebooks in English and their translations into Chinese

In fact, most of my posts are Jupyter notebooks.
实际上，我的大部分帖子都是Jupyternotebook。

I usually do this in Jupyter notebooks and share them with the team.
我经常在Jupyter中这样做，并且将这些笔记分享给团队。

Reasons why data scientists love Jupyter notebooks.
数据】数据科学家喜欢JupyterNotebook的10个原因.

In this way, Jupyter Notebooks have become living texts and reports.
通过这种方式，JupyterNotebooks变成了生动的文本和报告。

Reasons why data scientists love Jupyter notebooks.
上一篇：数据科学家喜欢JupyterNotebook的10个原因.

Jupyter notebooks also are considered likely to replace the traditional PDF documents.
Jupyternotebooks还被认为可能会取代传统的PDF文档。

Home Data News 10 reasons why data scientists love Jupyter notebooks.
数据】数据科学家喜欢JupyterNotebook的10个原因.

And since it's popular, examples(and Jupyter notebooks) are available far and wide.
而且，由于它很受欢迎，因此示例（和Jupyternotebooks）可以广泛使用。

The results can be explored and audited through a dashboard or Jupyter notebooks.
其结果可以通过仪表板或Jupyter笔记本进行浏览和审核。

Jupyter Notebooks are very widely used in the community, especially those in research and scientific fields.
Jupyter笔记本在社区中应用非常广泛，尤其是在科研领域。

There are over 1.7 million public Jupyter notebooks hosted on GitHub.
在GitHub上有超过170万个公共JupyterNotebook1。

Jupyter Notebooks have become the preferred development environment of many data scientists and ML researchers.
Jupyter笔记本已经成为许多数据科学家和ML研究人员的首选开发环境。

Many of today's data scientists and students use Jupyter notebooks in their work.
现在许多数据科学家和学生在工作中使用Jupyter笔记本。

But moving from Excel to Jupyter notebooks and python has a huge number of benefits, your work becomes:.
但是从Excel转移到Jupyter笔记本和Python有很多好处，你的工作变成：.

One is JupyterHub, a service that allows institutions to provide Jupyter notebooks to large pools of users.
一个是JupyterHub，这种工具允许机构向大量用户提供Jupyternotebook。

Jupyter Notebooks allow data scientists to create and share their documents, from codes to full blown reports.
JupyterNotebooks允许数据科学家创建和共享他们的文档，从代码到全面的报告都可以。

For example, we're seeing an explosion of Jupyter Notebooks being shared on GitHub with more than 2.5 Million and counting.
例如，我们看到在GitHub上共享的Jupyter笔记本爆炸超过250万并且还在增加。

Jupyter Notebooks have become the preferred development environment of many data scientists and ML researchers.
JupyterNotebook已经成为很多数据科学家和机器学习(ML)研究人员的首选开发环境。

Azure Notebooks is a free service to develop and run Jupyter notebooks in the cloud with no installation.
AzureNotebooks是免费的托管服务，用于在云中开发和运行Jupyter笔记本而无需进行安装。

The Jupyter notebooks are fully annotated and available with every coding video, as well as through a GitHub repository.
Jupyter笔记本被完全注释并可用于每个写程式的影片，也可通过GitHub储存库取得。

Jupyter Notebook is a web-based interactive computational environment for creating Jupyter notebooks documents.
JupyterNotebook:是一个基于Web的交互式计算环境，用于创建jupyternotebook文档。

Jupyter Notebooks are a web-based and interactive tool that the machine learning and data science community uses a lot.
JupyterNotebook是一个基于Web的交互式工具，机器学习和数据科学社区都频繁使用它。

Due to these and several other reasons you will see below, Jupyter Notebooks are one of the most popular tools among data scientists.
由于这些以及你将在下面看到的原因，JupyterNotebooks成了数据科学家最常用的工具之一。

Jupyter Notebooks provide an interactive scratch pad for developers and data scientists to explore and experiment with.
JupyterNotebook为开发人员和数据科学家提供了交互式草稿板，以供他们进行探索和试验。

The AI Hub is a one-stop destination for plug-and-play ML content, including pipelines, Jupyter notebooks, TensorFlow modules, and more.
AIHub是即插即用的机器学习一站式平台，包括管道、JupyterNotebook、TensorFlow模块等。

Jupyter notebooks are great for experiments and demonstrations, but outside of these cases there's always something better.
Jupyternotebooks的确非常适用于实验和演示，但除此之外，在其他方面总是会有更好的选择。

Stress-free Reproducible experiments: Jupyter notebooks can help you conduct efficient and reproducible interactive computing experiments with ease.
轻松可重复实验：Jupyter笔记本可以帮助您轻松进行高效且可重复的交互式计算实验。

Jupyter notebooks can be shared amongst the team to enable internal collaboration and boost the teamwork on the data analysis.
JupyterNotebook可以在团队中共享，以实现内部协作，并促进团队共同合作进行数据分析。

Jupyter Notebooks are powerful, versatile, shareable and provide the ability to perform data visualization in the same environment.
JupyterNotebooks很强大，功能多，可共享，并且提供了在同一环境中执行数据可视化的功能。

Jupyter Notebooks makes it easy to interact with code, plots and results, and is becoming one of the preferred tools for data scientists.
JupyterNotebooks』让我们更容易与代码、绘图和结果进行交互，它正逐渐成为一款数据科学家们所喜爱的工具。