GitHub - jtpio/jupyterlite: Wasm powered Jupyter running in the browser 💡You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
JupyterLab 3.0 is released!
The 3.0 release of JupyterLab brings many new features to users and substantial improvements to the extension system. InstallationTo install JupyterLab with pip: pip install jupyterlab==3With mamba: mamba install -c conda-forge jupyterlab=3With conda: conda install -c conda-forge jupyterlab=3(Note that many third-party extensions are still in the process of updating to be compatible with JupyterLa
Introducing the Jupyter Extension for VS Code - Python
We’re excited to announce that we’re releasing the new Jupyter extension for Visual Studio Code today! The Jupyter extension is the latest step in our journey to bring the power of Jupyter Notebook into VS Code for a variety of languages and scenarios. Jupyter Notebook enables creating and sharing documents that contain live code, equations, text, and visualizations, and is the de facto data scien
A visual debugger for Jupyter
Most of the progress made in software projects comes from incrementalism. The ability to quickly see the outcome of an execution and iterate has been one of the main reasons for the success of Jupyter, especially in scientific exploratory workflows. Jupyter users like to experiment in the notebook, and to use the notebook as an interactive communication tool. However, for more classical software d
.NET Interactive is here! | .NET Notebooks Preview 2 - .NET Blog
.NET Interactive is here! | .NET Notebooks Preview 2 In November 2019, we announced .NET support for Jupyter notebooks with both C# and F# support. Today we are excited to announce Preview 2 of the .NET Notebook experience. What’s new New Name – Meet .NET interactive As our scenarios grew in Try .NET, we wanted a new name that encompassed all our new experiences from the runnable snippets on the w
Announcing Support for Native Editing of Jupyter Notebooks in VS Code - Python
Email Subscriptions are here! Get notified in your email when a new post is published to this blog With today’s October release of the Python extension, we’re excited to announce the support of native editing of Jupyter notebooks inside Visual Studio Code! You can now directly edit .ipynb files and get the interactivity of Jupyter notebooks with all of the power of VS Code. You can manage source c
pandasのStyling機能で強化するJupyter実験レポート / PyConJP 2019
PyConJP 2019: https://pycon.jp/2019/ Speaker: [Twitter] @komo_fr (https://twitter.com/komo_fr) [GitHub] @komo-fr (https://github.com/komo-fr) Video: https://www.youtube.com/watch?v=T8lL9Nb3hMM GitHub: https://github.com/komo-fr/PyConJP2019_pandas_styling nbviewer: https://nbviewer.jupyter.org/github/komo-fr/PyConJP2019_pandas_styling/blob/master/notebooks/styling.ipynb Togetter: https://togetter.c
木星を継ぐもの 〜JupyterLab よこんにちは〜 | Research Blog
AI Lab で主に NLP を担当している張です。 突然ですが、まだ Jupyter Notebook で消耗していませんか？ 2011 年に IPython Notebook (現 Jupyter Notebook) の登場1によって研究やデータサイエンスの環境は一変しました。 それまではソースコードの実行やグラフの出力、メモやノートなどをすべて別々に取っておく必要があったものが、このツールによって一箇所にまとめて表示できるようになり、管理や閲覧が一元化され圧倒的に便利になりました。IPython Notebook の登場は研究者やデータ分析する人に革命的な効率改善をもたらしたのです。まさに働き方改革です。 2019 年現在、初登場から約 8 年もの年月が過ぎました。この 8 年の間に Python のバージョンは 3.2 から 3.7 にあがり、GPU は GTX 500 番台から
RunKit is Node prototyping
RunKit is a node playground. Full node environment, right in the browser with every npm package already pre-installed Create a Notebook Prototype and explore your ideas RunKit notebooks completely remove the friction of trying new ideas. With one click you'll have a sandboxed JavaScript environment where you can instantly switch node versions, use every npm module without having to wait to install
neuron - Visual Studio Marketplace
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter. neuron for Visual Studio Code An Interactive Programming Experience for Data Scientists neuron is a robust application that seamlessly combines the power of Visual Studio Code with the interactivity of Jupyter Notebook. Getting started Download the latest release from the releases page or via the VS Code Marketplace.
Data Science in Visual Studio Code using Neuron, a new VS Code extension – Microsoft Faculty Connection
Guest post by Lorenzo Silvestri, Electronic and Information Engineering Student at Imperial College London. Introduction In this post, I’ll give a short explanation of neuron, a Visual Studio Code extension that aims to be a one-stop-shop for data scientists. It’s an extension I developed as part of a team of students at Imperial College London, in collaboration with Microsoft, in the summer of 20
Why Jupyter is data scientists’ computational notebook of choice
Perched atop the Cerro Pachón ridge in the Chilean Andes is a building site that will eventually become the Large Synoptic Survey Telescope (LSST). When it comes online in 2022, the telescope will generate terabytes of data each night as it surveys the southern skies automatically. And to crunch those data, astronomers will use a familiar and increasingly popular tool: the Jupyter notebook. Jupyte
Beyond Interactive: Notebook Innovation at Netflix
By Michelle Ufford, M Pacer, Matthew Seal, and Kyle Kelley Notebooks have rapidly grown in popularity among data scientists to become the de facto standard for quick prototyping and exploratory analysis. At Netflix, we’re pushing the boundaries even further, reimagining what a notebook can be, who can use it, and what they can do with it. And we’re making big investments to help make this vision a
[作業効率化] Jupyterの拡張機能を全部調べてみた - Qiita
今までも、いくつか拡張機能は使っていたものの、大部分は使わずに過ごしていたため、食わず嫌いはいけないな・・と思いドキュメント読みながら使ってみてまとめます。 まえおき 拡張機能（nbextensions）自体や、過去の記事で触れたHinterlandやTable of Contents (2)などはそちらの記事（Jupyter 知っておくと少し便利なTIPS集）をご確認ください。 結構抄訳などしています。（浅く広く。詳細はドキュメントに任せるとして、こんな拡張機能あるのか、程度にご使用ください） nbextensionsを入れたときに最初から入っている拡張機能を対象とします。 全部といっても、nbextensionsの設定画面を表示するための拡張機能だったり、基本的にデフォルトで有効で、且つ変えることがほぼなさそうなものは割愛します。 環境は「Python 3.6.5 :: Anacond
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GitHub - connorferster/handcalcs: Python library for converting Python calculations into rendered latex.
New! Free GPUs for AI & ML Development | Paperspace
GitHub - microsoft/tensorwatch: Debugging, monitoring and visualization for Python Machine Learning and Data Science
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GitHub - jupyter/nbdime: Tools for diffing and merging of Jupyter notebooks.
