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  • The types of threats facing the enterprise are relatively well understood—malware, advanced persistent threats, and leaked credentials—which are typically addressed by slowing the rate of change, because change is seen as a harbinger of a potential threat. However, these security threats are increasing in volume and speed. In other words, attackers are moving faster, while we are moving slower. T...

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  • Business, society, and technology are changing at an ever-increasing rate, and we technologists constantly create new programming languages, frameworks, platforms, and tools to help us keep up. However, in most cases it is not enough. We must also rethink how we approach the design and architecture of software for the future. Architectural modularity will be a cornerstone of these software applic...

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  • We like to think that technology can make the world a better place, but we (conveniently) forget how it can make it worse. Primum non nocere (first do no harm) is the first concept taught in medical school, serving as a reminder of the possible harm that any intervention might do. Cynthia Savard Saucier challenges the tech industry to come up with its own fundamental principle. Subscribe to O'Rei...

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  • O’Reilly Media’s Mike Hendrickson speaks with Deloitte Consulting’s Raj Kamath about the management of data stacks and the evolution of clients’ data architecture. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedi...

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  • O’Reilly Media’s Mike Hendrickson caught up with Brett Davis, Deloitte Consulting, to discuss how the pharmaceutical industry can take advantage of data and analytic transformation. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: h...

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  • O’Reilly Media’s Mike Hendrickson talks to Deloitte Consulting’s Ryan Hoffmeister about some of the best practices healthcare and life sciences organizations can adopt to take advantage of all Big Data has to offer. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.inst...

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  • Yuvi Panda (Data Science Education Program (UC Berkeley) Open data by itself is not enough. You need open computational infrastructures as well. Yuvi Panda offers an overview of a volunteer-led open knowledge movement that makes all of its data available openly and explores the free, open, and public computational infrastructure recently set up for people to play with and build things on its data...

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  • Sylvain Corlay (QuantStack), Johan Mabille (QuantStack) Xeus takes on the burden of implementing the Jupyter kernel protocol so that kernel authors can focus on more easily implementing the language-specific part of the kernel and support features, such as autocomplete or interactive widgets. Sylvain Corlay and Johan Mabille showcase a new C++ kernel based on the Cling interpreter built with Xeus...

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  • Kari Jordan (Data Carpentry) Diversity can be achieved through sharing information among members of a community. Jupyter prides itself on being a community of dynamic developers, cutting-edge scientists, and everyday users, but is our platform being shared with diverse populations? Kari Jordan explains how training has the potential to improve diversity and drive usage of Jupyter notebooks in bro...

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  • It’s not enough just to give data scientists access to Jupyter notebooks in the cloud. Skipper Seabold (Civis Analytics), Lori Eich (Civis Analytics) argue that to build truly data-driven organizations, everyone from data scientists and managers to business stakeholders needs to work in concert to bring data science out of the wilderness and into the core of decision-making processes. Subscribe t...

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  • Have you thought about what it takes to host 500+ Jupyter users concurrently? What about managing 17,000+ users and their content? Christopher Wilcox explains how Azure Notebooks does this daily and discusses the challenges faced in designing and building a scalable Jupyter service. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymed...

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  • Daniel Mietchen (University of Virginia) Jupyter notebooks are a popular option for sharing data science workflows. Daniel Mietchen shares best practices for reproducibility and other aspects of usability (documentation, ease of reuse, etc.) gleaned from analyzing Jupyter notebooks referenced in PubMed Central, an ongoing project that started at a hackathon earlier this year and is being document...

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  • M Pacer (Project Jupyter | Berkeley Institute for Data Science), Jess Hamrick (UC Berkeley), Damián Avila (Anaconda Powered by Continuum Analytics) explain how the structured nature of the notebook document format, combined with native tools for manipulation and creation, allows the notebook to be used across a wide range of domains and applications. Subscribe to O'Reilly on YouTube: http://goo.g...

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  • Matt Burton (University of Pittsburgh) While Jupyter notebooks are a boon for computational science, they are also a powerful tool in the digital humanities. Matt Burton offers an overview of the digital humanities community, discusses defactoring—a novel use of Jupyter notebooks to analyze computational research—and reflects upon Jupyter’s relationship to scholarly publishing and the production ...

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O'Reilly Media
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  • Zymergen approaches biology with an engineering and data-driven mindset. Its platform integrates robotics, software, and biology to deliver predictability and reliability during strain design and development. Danielle Chou explains the integral role Jupyter notebooks play in providing a shared Python environment between Zymergen's software engineers and scientists. Subscribe to O'Reilly on YouTub...

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  • Yoshi NOBU Masatani (National Institute of Informatics) Jupyter is useful for DevOps. It enables collaboration between experts and novices to accumulate infrastructure knowledge, while automation via notebooks enhances traceability and reproducibility. Yoshi Nobu Masatani shows how to combine Jupyter with Ansible for reproducible infrastructure and explores knowledge, workflow, and customer suppo...

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O'Reilly Media
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  • Christian Moscardi shares the practical solutions developed at the Data Incubator for using Jupyter notebooks for education. Christian explores some of the open source Jupyter extensions he has written to improve the learning experience as well as tools to clean notebooks before they are committed to version control. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twi...

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  • Leah Silen (NumFOCUS), Andy Terrel (NumFOCUS) What do the discovery of the Higgs boson, the landing of the Philae robot, the analysis of political engagement, and the freedom of human trafficking victims have in common? NumFOCUS projects were there. Join Leah Silen and Andy Terrel to learn how we can empower scientists and save humanity. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Fo...

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  • Patty Ryan, Lee Stott, Michael Lanzetta (Microsoft) explore four industry examples of Jupyter notebooks that illustrate innovative applications of machine learning in manufacturing, retail, services, and education and share four reference industry Jupyter notebooks (available in both Python and R)—along with demo datasets—for practical application to your specific industry value areas. Subscribe ...

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O'Reilly Media
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  • Christine Doig (Anaconda) offers an overview of the Anaconda Project, an open source library created by Continuum Analytics that delivers lightweight, efficient encapsulation and portability of data science projects. A JupyterLab extension enables data scientists to install the necessary dependencies, download datasets, and set environment variables and deployment commands from a graphical interfa...

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O'Reilly Media
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  • Alexandre Archambault (Teads.tv) explores why an official Scala kernel for Jupyter has yet to emerge. Part of the answer lies in the fact that there is no user-friendly, easy-to-use Scala shell in the console (i.e., no IPython for Scala). But there's a new contender, Ammonite—although it still has to overcome a few challenges, not least being supporting by big data frameworks like Spark, Scio, and...

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O'Reilly Media
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  • Feeling overwhelmed by huge amounts of data has become the norm. Creating effective visual representations of data offloads some of the work of quickly finding interesting patterns to our powerful perceptual system. Miriah Meyer explores the role that interactive visualizations can play in helping us find meaning in mounds of data and discusses the limitations of this approach. Subscribe to O'Rei...

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O'Reilly Media
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  • If great software is secure software, why are there still so many vulnerabilities? Don’t architects and developers want to build great systems? Software teams today must move fast to compete in the marketplace. They need to inherit functionality, scale, and performance. Can they inherit security as well? As defenders it is our job to make this inheritance possible. Ideally security inheritance is...

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