Using tools like notebooks extensions and interactive widgets make the notebook come to life and make our jobs as data scientists more efficient. Then write some code in the Notebook. Using Interactive Jupyter Notebooks with R •What is Jupyter? The Jupyter Notebook is a great data exploration and analysis environment. By default, the notebook config file has all fields commented out. $ jupyter notebook --generate-config In the ~/.jupyter directory, edit the notebook config file, jupyter_notebook_config.py. When I want someone to interact with my Jupyter notebooks, I like to use Kaggle for this. In addition to writing .NET Code in Jupyter Notebooks, users can now write their code in nteract. After a lot of research on the internet, I found no practical tutorial explaining how to embed Jupyter Notebooks in Static Websites using only free technologies. Project Jupyter is a broad collaboration that develops open-source tools for interactive and exploratory computing. To Run the code, press the Run button as depicted in the picture above. With over 200,000 notebooks available on GitHub, you already have a lot to read! The tools include: over 100 computer languages (with a focus on Python), the Jupyter Notebook, JupyterHub, and an ecosystem of extensions contributed by a large community. JupyterLab: Jupyter’s Next-Generation Notebook Interface JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. Jupyter Notebook is a web-based development tool that makes it easier for developers to manage projects. Jupyter Notebooks shared through GitHub are rendered, but are static. I found a way to do it using Github Gists, MyBinder and NBInteract along with IPython Widgets and I want to share it so no one has to reinvent the wheel. Interactive Coronavirus Map With Jupyter Notebook and Plotly¶This article updates each day automatically with the latest data ... Interactive Coronavirus Map With Jupyter Notebook and Plotly ... You can find my original Github repo here. However, by itself, it doesn’t offer the best functionality. GitHub is a development platform where we “can host and review code, manage projects, and build software.” A GitHub repository can be created, populated, and shared without command line or other special-purpose version control tools. The minimum set of configuration options that you should uncomment and edit in :file:`jupyter_notebook_config.py` is the following: Jupyter Notebook GitHub Integration 3 minute read At ReviewNB, we’ve studied hundreds of teams successfully collaborating on Jupyter Notebooks via GitHub Pull Requests. Click Add Files -> Create New File. •R User Interface Evolution –Command Line –RStudio –RStudio with Markdown –Jupyter Notebook •Jupyter Markdown Cells •Jupyter Code Cells •Installation of Jupyter The main purpose for github is to store and share code and for version control. With a user-friendly interface, Jupyter includes interactive elements to create and share live documents that contain … JupyterLab is flexible: configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. "The interactive features of the notebook, such as custom JavaScript plots, will not work in your repository on GitHub. For an example, see Linking and Interactions.ipynb." So, this is our code: Upload project directly into Github without using Notebook: Click on File -> Download as -> Notebook(.ipynb) Make a new repository into Github. nteract is an open-source organization that builds SDKs, applications, and libraries that helps people make the most of interactive notebooks and REPLs. More than 100,000+ notebooks have been reviewed on our platform by cutting edge data science teams from Amazon, Microsoft, Google, NASA JPL and many others. We are excited to see how this feature will impact science education and research on GitHub, as well as encourage the adoption of the Jupyter notebook as a standard file format across a wide range of fields.