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The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

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Project Jupyter | Home | jupyter.org Reviews

https://jupyter.org

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

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newsletter.jupyter.org newsletter.jupyter.org

Jupyter Newsletter

Jupyter Newsletter 12 March 30, 2017. IBM Brings Jupyter and Spark to the Mainframe. IBM Brings Jupyter and Spark to the Mainframe. Jupyter Newsletter 11 February 28, 2017. Dec 21, 2016. Jupyter Newsletter 10 December 21, 2016. Nbdime 0.1 and nbconvert 5.0 released. Nov 22, 2016. Jupyter Newsletter 9 November 22, 2016. Jupyter Branding Guidelines, Jupyter and NERSC’s Supercomputer. Oct 19, 2016. Jupyter Newsletter 8 October 19, 2016. Figshare Jupyter, Foundations of Data Science Course Grant. Sep 28, 2016.

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Jupyter Notebook Viewer

A simple way to share Jupyter Notebooks. Python for Signal Processing. Data Visualization with Lightning. Interactive data visualization with Bokeh. Interactive plots with Plotly. XKCD Plot With Matplotlib. Python for Vision Research. Partial Differential Equations Solver. Analysis of current events. This website does not host notebooks, it only renders notebooks available on other websites.

blog.jupyter.org blog.jupyter.org

Project Jupyter

Page 1 of 2. Older Posts →. Today is an exciting day! We have just finished releasing IPython 4.0, the last piece of the first release of Jupyter and IPython after The ». New funding for Jupyter. We are pleased to announce that the Jupyter/IPython project has received $6M in funding from three organisations: The Leona M. and Harry B. Helmsley Charitable ». Project Jupyter: Computational Narratives as the Engine of Collaborative Data Science. IPython 3.2 released. Rendering Notebooks on GitHub. Page 1 of 2.

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michele.sciabarra.com michele.sciabarra.com

ScalaGoodies - Atom, Ensime, Jupyter and Hydrogen | Michele Sciabarra's Blog

http://michele.sciabarra.com/2016/06/17/scala/ScalaGoodies

Tech notes from a Scala enthusiast. ScalaGoodies - Atom, Ensime, Jupyter and Hydrogen. In this post I am introducing a source kit ( ScalaGoodies. For installing my current favorite selection of Scala development tools, incidentally also. Here is a bird’s-eye view of what you can get:. Using my kit you should be able to add easily to your Scala project:. Editor configured for Scala including powerful completions (courtesy of Ensime. The ability to evaluate Scala code directly from Atom (thanks to Hydrogen.

michele.sciabarra.com michele.sciabarra.com

Announcing Sparkoin 0.1 | Michele Sciabarra's Blog

http://michele.sciabarra.com/2016/05/06/sparkoin/Sparkoin-0.1

Tech notes from a Scala enthusiast. Announcing Sparkoin 0.1. Did you ever dream of being able to analyze the Bitcoin Blockchain using Big Data tools? If this is your dream too, now it is a bit more close to reality than before. I am pleased to announce to the world the. Release of the open souce. Sparkoin is BigData for BitCoin. In practice, it is a system allowing to analyze the Blockchain using BigData technologies, most notably Hadoop and Spark. Sparkoin home is on GitHub, here:. You can use any ip in...

pbpython.com pbpython.com

Tips for Customizing Your IPython and Pandas Display - Practical Business Python

http://pbpython.com/ipython-pandas-display-tips.html

Taking care of business, one python script at a time. Mon 04 May 2015. Tips for Customizing Your IPython and Pandas Display. Posted by Chris Moffitt. The combination of IPython. Makes it easy to interact with and display your data. Not surprisingly, these tools are easy to customize and configure for your own needs. This article summarizes some of the most useful and interesting options. For this particular post, I will show the detailed examples in a Notebook. Please see the Notebook. Vote on Hacker News.

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GitHub - fatiando/fatiando: Python toolkit for modeling and inversion in geophysics

https://github.com/fatiando/fatiando

Python toolkit for modeling and inversion in geophysics. Http:/ www.fatiando.org. Use Git or checkout with SVN using the web URL. Jul 26, 2016. Only push coverage to coveralls if PR or master (. The current TravisCI config pushes coverage information to coveralls all the time. This is unnecessary. Only need to push if on Linux and only if on the master branch or in a PR. Failed to load latest commit information. Remove some unused badges and update the text of the README (. Jun 29, 2016. Jul 14, 2016.

blog.probcomp.org blog.probcomp.org

September | 2015 | MIT Probabilistic Computing Project

http://blog.probcomp.org/2015/09

MIT Probabilistic Computing Project. Monthly Archives: September 2015. Release Announcement: Bayeslite 0.1. September 22, 2015. The MIT Probabilistic Computing Project. Is pleased to announce a generally available pre-release of bayeslite, a new implementation of BayesDB. For installation instructions, documentation, and to provide us with feedback, please visit http:/ probcomp.csail.mit.edu/bayesdb. Bayeslite 0.1 provides a bare-bones implementation of the Bayesian Query Language (BQL), including:.

blog.nacyot.com blog.nacyot.com

nacyot의 프로그래밍 이야기 :: 서비스(service)

http://blog.nacyot.com/tags/service

Launchctl을 사용한 맥 OSX에서 서비스 등록하기 - 주피터(Jupyter, IPython = 3) 노트북 서비스 등록 예제. 2015년 05월 13일 발행. 아주 자주 사용하는 프로그램은 컴퓨터가 켜져있으면 어김없이 실행된다. 그래서 사용자들은 보통 이러한 프로그램을 시작 프로그램에 등록해서 사용하곤 한다. 이러한 프로그램이 백그라운드 작업을 하는 프로그램이거나 서버 프로그램이라면 매번 터미널을 열어서 실행한다는 것이 여간 번거로운 일이 아닐 것이다. 맥 OSX에서도 이와 같은 상황을 겪을 수 있는데, 적절히 커스텀 서비스를 등록해 이러한 번거로움을 피해갈 수 있다. 이 글에서는 Jupyter Notebook. 을 예제로 OSX 서비스 등록과 간단한 조작법에 대해서 살펴본다. Emacssexy 한국어 번역 및 OmegaT Travis Rake Github Pages를 활용한 번역. 2014년 03월 17일 발행. Mdash; nacyot (@nacyo t) 2014년 3월 16일.

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Uncategorized | MIT Probabilistic Computing Project

http://blog.probcomp.org/category/uncategorized

MIT Probabilistic Computing Project. Release Announcement: Bayeslite 0.1. September 22, 2015. The MIT Probabilistic Computing Project. Is pleased to announce a generally available pre-release of bayeslite, a new implementation of BayesDB. For installation instructions, documentation, and to provide us with feedback, please visit http:/ probcomp.csail.mit.edu/bayesdb. Bayeslite 0.1 provides a bare-bones implementation of the Bayesian Query Language (BQL), including:. PROBABILITY DENSITY OF col. Union of C...

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Config file and command line options. Running a notebook server. Security in the Jupyter notebook server. Security in notebook documents. Configuring the notebook frontend. Distributing Jupyter Extensions as Python Packages. Contributing to the Jupyter Notebook. Making a Notebook release. What is the Jupyter Notebook? Importing Jupyter Notebooks as Modules. Connecting to an existing IPython kernel using the Qt Console. Stack Overflow - Jupyter. Stack Overflow - Jupyter-notebook. Running a notebook server.

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Hackpads are smart collaborative documents. Join Hackpad Now. Phone: 1 (888) 240 2560; meeting ID: 5706274620. OutputArea (Jon, Kyle. Jupyter Content and Organization. Base font size = 15px. Line height = 1.4. Font sizes based on 1.4 font scale:. 765, 10.71, 15.0, 21.0, 29.4, 41.16, 57.62]. Line heights for those font sizes:. 21, 21, 21, 21, 42, 42, 33]. 4-6 blurbs describing the main features. With the Jupyter Notebook, you can write code in over 40 programming languages, including languages popular in.

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Project Jupyter | Home

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. August 21 - 25. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Try it in your browser.

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Overview — Jupyter Documentation 4.1.1 alpha documentation

Narratives and Use Cases. Installation, Configuration, and Usage. Narratives and Use Cases. Narratives of common deployment scenarios. An interactive Python kernel and REPL. Installation, Configuration, and Usage. How to contribute to the projects. New features, upgrades, deprecation notes, and bug fixes. Full table of contents. Last updated on 2017-01-06.

jupyterday-atlanta-2016.github.io jupyterday-atlanta-2016.github.io

JupyterDay Atlanta

Georgia Tech Research Institute. 250 14th Street, NW. Atlanta, Georgia 30318. Last day for 🎫 tickets! JupyterDay Kick off Event at General Assembly! Coffee and Donuts provided by Continuum Analytics. Open Source is the Medium of Innovation. Lunch provided by O'Reilly Media. Carol Willing - JupyterHub: A "Thing Explainer" overview. Workshops coding in several tracks with data sets, demos, code starting-points on GitHub. Learning and Deploying The Jupyter Stack. Bring Your Code Own Code (to Jupyter).

jupyterhub.readthedocs.io jupyterhub.readthedocs.io

JupyterHub — JupyterHub 0.8.0.dev documentation

Getting started with JupyterHub. Web Security in JupyterHub. Using JupyterHub’s REST API. Upgrading JupyterHub and its database. With JupyterHub you can create a multi-user Hub. Which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook. Server. Due to its flexibility and customization options, JupyterHub can be used to serve notebooks to a class of students, a corporate data science group, or a scientific research group. Three subsystems make up JupyterHub:.

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