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NET Interactive Notebooks extension, currently in Preview that's maintained as part of the /dotnet/interactive project.
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Whilst its Python notebook support is still the most complete, it's the optimal UI for working with C# and F# Notebooks with its. It provides a nicer UX over the traditional Notebook UX with niceties like intelli-sense and variable explorer and is better at opening stand-alone Notebooks outside the context of a Python project where its able to make use of pip's global OS packages.
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Visual Studio Code is another IDE popular with Python Developers that has their own built-in UX for Jupyter Notebooks: Jupyter's popularity with Data Scientists has prompted JetBrains to develop a stand-alone DataSpell IDE optimized for working with Data with a more refined lightweight UX for working with Notebooks: P圜harm is ideal for Python programmers and maintaining Notebooks as part of a Python project where it takes care of creating a Python virtual environment for the project, installing required local dependencies and executing Notebooks within the projects venv context.
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In addition to all the source code assistance and analysis you can expect from JetBrains smart IDEs to assist in writing Python, it also supports debugging as well as multiple edit and preview modes. JetBrains likely offers the most functional and capable IDEs for authoring and viewing Notebooks whose Notebook support is built-in to their leading Python IDE - P圜harm.
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JupyterLab is Jupyter's next-gen web-based development environment designed around maintaining an entire Workspace of Notebooks in a multi-tabbed splittable UI whereby many of them can be running at the same time:Īn easy way to install JupyterLab is to use the pip package manager installed with Python: The core UX for experiencing Jupyter Notebooks is through a Notebook App which thanks to Jupyter's momentum and vibrant ecosystem there are now many options to choose from, optimizing for different developers use-cases and integrated development workflows.ĭelivered and maintained as part of the Jupyter project are 2 self-hosted front-end Web Application UIs for authoring and running Notebooks: JupyterLab # NET Interactive Kernels and Notebooks VSCode extension to generate and execute C# and F# Notebooks:
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Generating Python Notebooks with Python ServiceStack Reference will let you get the most out of Jupyter Notebooks ecosystem, tooling and free hosting cloud services.Īlternatively. Create Python, C# and F# Jupyter Notebooks for any ServiceStack API #īy leveraging Add ServiceStack Reference's rich, typed ecosystem we're able to tap into the exciting interactive world of Jupyter Notebooks where ServiceStack API consumers are now able to generate custom-tailored notebooks for ServiceStack API using a Simple UI or generated from a single command-line if preferred. The culmination of which facilitates the creation and sharing of Live Executable Documents encapsulating an Interactive computing session that provides an ideal visual REPL environment for exploratory programming whose results and findings can be further annotated with Markdown documentation and exported in a number of formats to facilitate knowledge sharing including: HTML, PDF, Markdown, Latex, ReStructured Text, Asciidoc, Reveal.js. Jupyter Notebooks #Īt the core of Jupyter is the "Notebook" (Nb) - an open JSON document format that contains a complete record of user's sessions including code, narrative text, equations, visualizations and rich output. However its popularity, thriving ecosystem and rich tooling has seen it grow to encompass a wide range of interactive computing use-cases including data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more which now sees it support over 40 programming languages. Initially forged from the Interactive Python project, Jupyter is an exciting initiative to support an open standards, language agnostic interactive computing platform where it provides the ideal integrated exploratory programming environment for data science and scientific computing as represented by its 3 core languages for these domains in Julia, Python and R (Ju-Py-R). Embedded UMD ss-utils.js JavaScript Client Library.F# TechStacks FindTechnologies Notebook.C# TechStacks FindTechnologies Notebook.Create Python, C# and F# Jupyter Notebooks for any ServiceStack API.dotnet tool - Win/Mac/Linux Utility Belt.