JupyterCon New York 2018

• Keynote speeches by Luciano Resende (IBM Watson) on how IBM leverages the Jupyter stack to offer business critical services; Will Farr (Stony Brook University) on the benefits of using Jupyter for large, global scientific collaborations; and Mark Hansen (Columbia Journalism School) on why today’s new generation of journalists must understand and use the newest tools in data analysis.
• Tutorials by Rachael Tatman (Kaggle) on how to teach a class more effectively using live coding in Jupyter notebooks; Jason Grout (Bloomberg) and Matthias Bussonnier (UC Berkeley BIDS) on how to transition from classic Jupyter Notebooks to the JupyterLab; and Carol Willing (Cal Poly San Luis Obispo) on how to deploy cloud-based JupyterHubs.
• Total access to the JupyterCon Strata Business Summit—these sessions featured concise, high-level executive briefings on the most important Jupyter developments in business from Jupyter leaders at Capital One, IBM, Oracle, Teradata, PayPal, Two Sigma, Capsule8, GE, and more.
• Multiple Jupyter usage sessions, including Dave Stuart (Department of Defense) on a “citizen data scientist” program at DoD; and Yuvi Panda (UC Berkeley) on how UCB’s MYBinder team develops JupyterHub infrastructure code in a collaborative manner.
• 15+ reproducible research and open science sessions, including Viral Shah (Julia Computing) on Julia’s path toward becoming the default language for all forms of data science; and Adam Thornton (LSST) on combining JupyterLab, JupyterHub, and Kubernetes to enable the analysis of very large datasets.
• Education and training sessions, including Laura Noren’s (Obsidian Security) comparison of data science research infrastructure in Canada versus the US.
• Jupyter extensions sessions, including Stephanie Stattel (Bloomberg LP) and Paul Ivanov (Bloomberg LP) on how to design and combine extensions to build custom JupyterLab solutions.
• Data visualization sessions, including Lindsay Richman’s (McKinsey & Co.) on using JupyterLab, Plotly, and a Python-based Dash framework to create dynamic charts and interactive reports.
• Enterprise and organizational adoption sessions, including Diogo Castro (CERN) on SWAN—CERN’s Jupyter-based interactive data analysis service.
• Dozens of other sessions relating to topics such as Jupyter communities, kernels, and JupyterHub deployments.
• More than 70 hours of video to view at your own pace and schedule.

Keyword: Get Business online course

Information about business:

Business is the activity of making one’s living or making money by producing or buying and selling products (such as goods and services).
[need quotation to verify] Simply put, it is “any activity or enterprise entered into for profit.
It does not mean it is a company, a corporation, partnership, or have any such formal organization, but it can range from a street peddler to General Motors.”

Having a business name does not separate the business entity from the owner, which means that the owner of the business is responsible and liable for debts incurred by the business.
If the business acquires debts, the creditors can go after the owner’s personal possessions.
A business structure does not allow for corporate tax rates. The proprietor is personally taxed on all income from the business.