Four short links: 1 September 2017
Math is Hard, Rare Data, Social Spam, and Device Fragmentation
All Articles
The evolution of DevOps
Understanding the impact and expanding influence of DevOps culture, and how to apply DevOps principles to make your digital operations more performant and productive.
Four short links: 31 August 2017
The API Line, Pacemaker Upgrades, AR HIG, and Door Upgrades
Four short links: 30 August 2017
IRS Mining, Government as a Platform, Developing for Alexa, and Testing Reading Comprehension
Four short links: 29 August 2017
Hardware Security, Streaming SQL, GAN Successes, and Blame to Accountability
Four short links: 28 August 2017
Fishing for Fishermen, Conversation Analysis, Paper Walkthrough, and Botwiki
Making science happen faster
Jeremy Freeman describes a growing ecosystem of scientific solutions, many of which involve Jupyter.
Design for reproducibility
Lorena Barba explores how we can build a capacity to support reproducible research into the design of tools like Jupyter.
Jupyter at O’Reilly
Andrew Odewahn explains how O’Reilly Media applied the Jupyter architecture to create the next generation of technical content.
The give and take of open source
Brett Cannon looks at how healthy expectations can maintain a balanced relationship between open source users and project maintainers.
Where money meets open source
Nadia Eghbal explores how money can support open source development without changing its incentives.
Four short links: 25 August 2017
Mobile Clusters, Practicing Code, Speech Commands Data Set, and Robogami
Highlights from JupyterCon in New York 2017
Watch highlights covering Jupyter notebooks, data management, collaborative data science, and more. From JupyterCon in New York 2017.
Project Jupyter: From interactive Python to open science
Fernando Perez explains how Project Jupyter fits into a vision of collaborative development of tools that are applicable to research, education, and industry.
How the Jupyter Notebook helped fast.ai teach deep learning to 50,000 students
Rachel Thomas shares her experience using Jupyter notebooks to help students understand deep learning through experimentation.
Data science without borders
Wes McKinney makes the case for a shared infrastructure for data science.
Labz ‘N Da Wild 2.0: Teaching signal and data processing at scale using Jupyter notebooks in the cloud
Demba Ba explains how he designed and implemented two Harvard courses that use cloud-based Jupyter notebooks.
Four short links: 24 August 2017
Social Robotics, Reconstructing 3D, Electronic Skin, and Rules of Buyouts