链接| https://towardsdatascience.com/4-awesome-tips-for-enhancing-jupyter-notebooks-4d8905f926c5 编译| CONFIDANT、邺调 对于所有希望分享自己工作成果的开发人员来说,Jupyter Notebooks是一个非常棒的工具。它们提供了一种简单的方式来共享笔记本——文本、代码和图形的组合,旨在增强我们向观众传达信息的方式。它...
Towards Data Sciencehttps://towardsdatascience.com/bringing-the-best-out-of-jupyter-notebooks-for-d...
When you remove a container, all data in that container is deleted. To save notebooks outside of the container, you can use a volume. Run a JupyterLab container with a volume To start the container with a volume, open a terminal and run the following command ...
Netflixaims to provide personalized content to their 130 million viewers. One of the significant ways by which data scientists and engineers at Netflix interact with their data is throughJupyter notebooks. Notebooks leverage the use of collaborative, extensible, scalable, and reproducible data science....
Jupyter Notebooks have seen widespread adoption in data science with over 2.5 million notebooks posted on GitHub as of September 2018.1 With the ability to construct and view code, figures, and markdown text all in one place, Jupyter Notebooks are ideal for constructing well-documented, reproducib...
ArcGIS Notebooks provide a Jupyter notebook experience optimized for spatial analysis. Combine industry-leading spatial analysis algorithms with open-source Python libraries to build precise spatial data science models. Reduce time spent managing dependencies across data science ecosystems, and increase cross...
Esc+bto add cells below Esc+mto activate markdown cell andCtrl+Enterto execute. Esc+dto delete cell Related: Best Practices for Using Notebooks for Data Science Jupyter Notebook for Beginners: A Tutorial Running R and Python in Jupyter More On This Topic...
可在Data Science Workspace内从头开始创建方法。 若要开始,请导航到Adobe Experience Platform并选择左侧的Notebooks选项卡。 要创建新笔记本,请从JupyterLab Launcher中选择方法生成器模板。 方法生成器笔记本允许您在笔记本内运行训练和评分运行。 这样,您就可以灵活地在针对训练和评分数据运行实验...
Template for general Python projects Template for Datascience projects Related Resources A Practical Introduction to Reproducible Computational Workflows Putting the science back in data science Reproducible research best practices @JupyterCon Data Carpentry - Reproducible Research using Jupyter Notebooks ...
Data Science 虛擬機器 資料科學和機器學習服務需要新的工具,其中有許多可能不熟悉.NET 開發人員。所幸,Microsoft Azure 提供的虛擬機器 (VM) 映像,稱為資料科學虛擬機器 (DSVM) — 的預先載入一些工具和公用程式資料科學和機器學習服務工作。DSVM 映像輕鬆快速入門與深入學習技術,...