Brought to you by NumFOCUS Foundation and O’Reilly Media Inc.
The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

Tutorials

On Wednesday, August 23, choose from half-day tutorials. These expert-led presentations give you a chance to dive deep into the subject matter. Please note: to attend, your registration package must include tutorials on Wednesday; does not include access to training courses.

Wednesday, August 23

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9:00am–12:30pm Wednesday, August 23, 2017
Location: Concourse F Level: Intermediate
Laurent Gautier (Verily)
Average rating: *****
(5.00, 1 rating)
Python is popular for data analysis, but restricting yourself to Python means missing a wealth of libraries or capabilities available in R or SQL. Laurent Gautier walks you through a pragmatic, reasonable, and good-looking polyglot approach, all thanks to R visualizations. Read more.
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9:00am–12:30pm Wednesday, August 23, 2017
Location: Concourse E Level: Intermediate
Min Ragan-Kelley (Simula Research Laboratory), Carol Willing (Cal Poly San Luis Obispo), Yuvi Panda (Data Science Education Program (UC Berkeley)), Ryan Lovett (Department of Statistics, UC Berkeley)
Average rating: **...
(2.00, 1 rating)
JupyterHub, a multiuser server for Jupyter notebooks, enables you to offer a notebook server to everyone in a group—which is particularly useful when teaching a course, as students no longer need to install software on their laptops. Min Ragan-Kelley, Carol Willing, Yuvi Panda, and Ryan Lovett get you started deploying and customizing JupyterHub for your needs. Read more.
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9:00am–12:30pm Wednesday, August 23, 2017
Location: Concourse A Level: Beginner
Andreas Mueller (Columbia University)
Average rating: *****
(5.00, 2 ratings)
Andreas Müller walks you through a variety of real-world datasets using Jupyter notebooks together with the data analysis packages pandas, seaborn, and scikit-learn. You'll perform an initial assessment of data, deal with different data types, visualization, and preprocessing, and build predictive models for tasks such as health care and housing. Read more.
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9:00am–12:30pm Wednesday, August 23, 2017
SOLD OUT
Location: Concourse B Level: Beginner
Sylvain Corlay (QuantStack), Jason Grout (Bloomberg)
Average rating: ****.
(4.80, 5 ratings)
Jupyter widgets allow you to build user interfaces with graphical controls inside a Jupyter notebook and provide a framework for building custom controls. Sylvain Corlay and Jason Grout demonstrate how to use Jupyter widgets effectively for interactive computing, explore the ecosystem of custom controls, and walk you through building your own control. Read more.
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1:30pm–5:00pm Wednesday, August 23, 2017
SOLD OUT
Location: Concourse F Level: Intermediate
Aaron Kramer (DataScience.com)
Average rating: ***..
(3.00, 2 ratings)
Modern natural language processing (NLP) workflows often require interoperability between multiple tools. Aaron Kramer offers an introduction to interactive NLP with SpaCy within the Jupyter Notebook, covering core NLP concepts, core workflows in SpaCy, and examples of interacting with other tools like TensorFlow, NetworkX, LIME, and others as part of interactive NLP projects. Read more.
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1:30pm–5:00pm Wednesday, August 23, 2017
Location: Concourse A Level: Beginner
Steven Silvester (Anaconda Powered by Continuum Analytics), Jason Grout (Bloomberg)
Average rating: ****.
(4.50, 2 ratings)
Steven Silvester and Jason Grout lead a walkthrough of JupyterLab as a user and as an extension author, explore its capabilities, and offer a demonstration of how to create a simple extension to the environment. Read more.
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1:30pm–5:00pm Wednesday, August 23, 2017
Location: Concourse B Level: Beginner
Safia Abdalla (nteract)
Average rating: ****.
(4.00, 3 ratings)
Have you wondered what it takes to go from a Jupyter user to a Jupyter pro? Wonder no more. Safia Abdalla explores the core concepts of the Jupyter ecosystem, including the extensions ecosystem, the kernel ecosystem, and the frontend architecture, leaving you with an understanding of the possibilities of the Jupyter ecosystem and practical skills on customizing the Jupyter Notebook experience. Read more.
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1:30pm–5:00pm Wednesday, August 23, 2017
SOLD OUT
Location: Concourse E Level: Intermediate
James Bednar (Anaconda, Inc.), Philipp Rudiger (Anaconda Inc.)
Average rating: ****.
(4.50, 2 ratings)
It can be difficult to assemble the right set of packages from the Python scientific software ecosystem to solve complex problems. James Bednar and Philipp Rudiger walk you step by step through making and deploying a concise, fast, and fully reproducible recipe for interactive visualization of millions or billions of data points using very few lines of Python in a Jupyter notebook. Read more.