GitHub - vega/ipyvega: IPython/Jupyter notebook module for Vega and Vega-LiteYou 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
Jupyter Notebook Best Practices for Data Science
September 10th, 2015 The Jupyter Notebook is a fantastic tool that can be used in many different ways. Because of its flexibility, working with the Notebook on data science problems in a team setting can be challenging. We present here some best-practices that SVDS has implemented after working with the Notebook in teams and with our clients. The need to keep work under version control, and to mai
GitHub + Jupyter Notebooks =
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
Bokeh 0.5 Released!
We are excited to announce the release of version 0.5 of Bokeh, an interactive web plotting library for Python! This release includes some major new features: support for Widgets and Dashboards, preliminary integration of Abstract Rendering for big data visualization, and a new schematic bokeh.charts interface for very high level statistical charting. Additionally, tighter Pandas integration makes
IPython Notebookをアドホック分析環境として使う
こんにちは、Gunosyのエンジニアの粟飯原です。Gunosyでは、主に広告配信サーバー全般の開発運用インフラを行いつつ、データ集計や分析等を行なっています。 Gunosyのエンジニアブログはこちら http://gunosy.github.io/2014/07/08/iptyhonnotebook.html 今回は、自分が開発業務や分析業務で日常的に利用しているIPython Notebookを便利に使う方法を紹介させて頂きます。 基本的に、pipでライブラリがインストールできる環境とnumpy、scipyの環境が揃っていることが前提で進めます。windows環境であれば、ライブラリのインストールは以下のURLのパッケージ群を利用すると快適です。とはいえこのページで紹介しているライブラリはwindowsでは動かないものもあります。 http://www.lfd.uci.edu/~gohl
The Jupyter Notebook — IPython
The Jupyter Notebook¶ (Formerly known as the IPython Notebook)¶ The IPython Notebook is now known as the Jupyter Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. For more details on the Jupyter Notebook, please see the Jupyter website. © Copyright the IPython development team. Python is trademark of the
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GitHub - Bridgewater/scala-notebook: Interactive Scala REPL in a browser
nbviewer.ipython.org - A simple way to share Jupyter Notebooks