Media Summary: Jupyter widgets allow building user interfaces with graphical controls such as sliders and textboxes inside a Jupyter notebook. So the other thing that i wanted to talk about really briefly since i don't have so much time left is the use of PyData London 2016 GitHub Repo: 00:00 Welcome! 00:10 Help us add time stamps or ...

Plotcon 2017 Sylvain Corlay Interactive - Detailed Analysis & Overview

Jupyter widgets allow building user interfaces with graphical controls such as sliders and textboxes inside a Jupyter notebook. So the other thing that i wanted to talk about really briefly since i don't have so much time left is the use of PyData London 2016 GitHub Repo: 00:00 Welcome! 00:10 Help us add time stamps or ... Brains are beautiful, complicated, and really hard to study. From the early days of single-cell imaging with microscopes, to the ... The advent of microarrays and high throughput sequencing has transformed the study of biology into an increasingly data driven ... Model visualization (model-vis) is a novel tool that can help us better understand advanced statistical analyses (Wickham et al ...

Today's connected workplaces demand a much faster, more nimble use of data. Businesses now have access to huge quantities ... R & D labs often seek to define and improve production processes. While a well-written protocol spells out a process like a favorite ... A large quantity of useful data is available only in the form of graphical visualizations. It is often necessary to reverse engineer ... Compelling visualizations are a powerful output. They enable insight, communicate knowledge, and drive change. Sharing the ... The deep sea (ocean habitats 200m, beyond continental shelf depth) is the largest ecosystem on earth, yet, less than 0.01% of the ... Do you check your stats after each run? Do you check your spending on your banking portal? Did you ever decide on renewing a ...

Visibility is everything. At least, it is if you're a company that runs 24x7 production infrastructure. If you can't see what's going on ... We live in a world where we want our devices and our internet experience to "just work" seamlessly. Catalina Labs makes ...

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PLOTCON 2017: Sylvain Corlay, Interactive Data Visualization in JupyterLab with Jupyter
PyParis 2017 -  Keynote by Sylvain Corlay
Sylvain Corlay - Interactive Visualization in Jupyter with Bqplot and Interactive Widgets
PLOTCON 2017: Chris Holdgraf, Visualizing the human brain
PLOTCON 2017: Steve Lianoglou, Facilitating the collaborative pursuit of scientific discovery
PLOTCON 2017: Carson Sievert, Practical Tools for Exploratory Web Graphics
PLOTCON 2017: Kyle Kelley, nteract for data science
PLOTCON 2017: Sam Tyner, Social Network Model Visualization
PLOTCON 2017: Mike Driscoll, The Cognitive Design Principles of Interactive Analytics
PLOTCON 2017: Alastair Dant, Visual tools for Research & Development
Sylvain Corlay
PLOTCON 2017: Srinivas Kumar Sunkara, bqplot: A d3-js based interactive plotting library
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PLOTCON 2017: Sylvain Corlay, Interactive Data Visualization in JupyterLab with Jupyter

PLOTCON 2017: Sylvain Corlay, Interactive Data Visualization in JupyterLab with Jupyter

Jupyter widgets allow building user interfaces with graphical controls such as sliders and textboxes inside a Jupyter notebook.

PyParis 2017 -  Keynote by Sylvain Corlay

PyParis 2017 - Keynote by Sylvain Corlay

So the other thing that i wanted to talk about really briefly since i don't have so much time left is the use of

Sponsored
Sylvain Corlay - Interactive Visualization in Jupyter with Bqplot and Interactive Widgets

Sylvain Corlay - Interactive Visualization in Jupyter with Bqplot and Interactive Widgets

PyData London 2016 GitHub Repo: https://github.com/SylvainCorlay/tutorial 00:00 Welcome! 00:10 Help us add time stamps or ...

PLOTCON 2017: Chris Holdgraf, Visualizing the human brain

PLOTCON 2017: Chris Holdgraf, Visualizing the human brain

Brains are beautiful, complicated, and really hard to study. From the early days of single-cell imaging with microscopes, to the ...

PLOTCON 2017: Steve Lianoglou, Facilitating the collaborative pursuit of scientific discovery

PLOTCON 2017: Steve Lianoglou, Facilitating the collaborative pursuit of scientific discovery

The advent of microarrays and high throughput sequencing has transformed the study of biology into an increasingly data driven ...

Sponsored
PLOTCON 2017: Carson Sievert, Practical Tools for Exploratory Web Graphics

PLOTCON 2017: Carson Sievert, Practical Tools for Exploratory Web Graphics

Interactive

PLOTCON 2017: Kyle Kelley, nteract for data science

PLOTCON 2017: Kyle Kelley, nteract for data science

nteract is a new project for

PLOTCON 2017: Sam Tyner, Social Network Model Visualization

PLOTCON 2017: Sam Tyner, Social Network Model Visualization

Model visualization (model-vis) is a novel tool that can help us better understand advanced statistical analyses (Wickham et al ...

PLOTCON 2017: Mike Driscoll, The Cognitive Design Principles of Interactive Analytics

PLOTCON 2017: Mike Driscoll, The Cognitive Design Principles of Interactive Analytics

Today's connected workplaces demand a much faster, more nimble use of data. Businesses now have access to huge quantities ...

PLOTCON 2017: Alastair Dant, Visual tools for Research & Development

PLOTCON 2017: Alastair Dant, Visual tools for Research & Development

R & D labs often seek to define and improve production processes. While a well-written protocol spells out a process like a favorite ...

Sylvain Corlay

Sylvain Corlay

Sylvain Corlay

PLOTCON 2017: Srinivas Kumar Sunkara, bqplot: A d3-js based interactive plotting library

PLOTCON 2017: Srinivas Kumar Sunkara, bqplot: A d3-js based interactive plotting library

bqplot: A d3-js based

PLOTCON 2017: Ankit Rohatgi, Reverse engineering chart data with WebPlotDigitizer

PLOTCON 2017: Ankit Rohatgi, Reverse engineering chart data with WebPlotDigitizer

A large quantity of useful data is available only in the form of graphical visualizations. It is often necessary to reverse engineer ...

PLOTCON 2017: Ben Hamner, Reproducible Data Visualizations

PLOTCON 2017: Ben Hamner, Reproducible Data Visualizations

Compelling visualizations are a powerful output. They enable insight, communicate knowledge, and drive change. Sharing the ...

PLOTCON 2017: Holly Bik, Phinch: An interactive, web-based data visualization framework

PLOTCON 2017: Holly Bik, Phinch: An interactive, web-based data visualization framework

The deep sea (ocean habitats 200m, beyond continental shelf depth) is the largest ecosystem on earth, yet, less than 0.01% of the ...

PLOTCON 2017: Adrien Schmidt, An easy way to build analytics for your customers

PLOTCON 2017: Adrien Schmidt, An easy way to build analytics for your customers

Do you check your stats after each run? Do you check your spending on your banking portal? Did you ever decide on renewing a ...

PLOTCON 2017: Anny He, Visualizing Infrastructure Health with Refocus

PLOTCON 2017: Anny He, Visualizing Infrastructure Health with Refocus

Visibility is everything. At least, it is if you're a company that runs 24x7 production infrastructure. If you can't see what's going on ...

PyParis 2017 - Quantstack, contributor to Jupyter by Sylvain Corlay

PyParis 2017 - Quantstack, contributor to Jupyter by Sylvain Corlay

Quantstack, contributor to Jupyter.

PLOTCON 2017: Rahul Belur, Data, Take the Wheel!

PLOTCON 2017: Rahul Belur, Data, Take the Wheel!

We live in a world where we want our devices and our internet experience to "just work" seamlessly. Catalina Labs makes ...

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