Discover the Next Generation of Data Science IDE

From Notebooks to JupyterLab—The Evolution of Data Science Environments
Travis Oliphant, President, Chief Data Scientist and Co-Founder, creator of NumPy and author of Guide to NumPy: 2nd Edition, will discuss the impact that the notebook experience has had on data science, and how JupyterLab—the next generation data science IDE—has evolved from the classic notebooks.
As notebooks grew in popularity, the data science community asked for more features to enable notebooks to play a more central role in data science projects. With this in mind, members of the community joined forces to create JupyterLab, an open source project that takes the classic notebook to the next level. The new platform adapts easily to multiple workflows, enabling data scientists to seamlessly move between notebooks, scripts, data, and applications. And this is just the beginning.
In this webinar, Travis, and Product Marketing Manager Gus Cavanaugh will cover:
  • The history of notebook environments
  • How JupyterLab differs from classic notebooks
  • Why JupyterLab will be the default experience for Anaconda Enterprise 5
  • A tour of key functionalities of JupyterLab
  • Examples of data science projects developed using JupyterLab

Meet Our Speakers

  • Travis Oliphant was President, Chief Data Scientist & Co-Founder of Anaconda. Travis takes pride in fostering the open source community and is dedicated to furthering the company’s open source projects. He also engages customers in all industries and helps guide technical direction of the company. He has served as a director of the Python Software Foundation and as a director of NumFOCUS.

    Travis holds a Ph.D. from the Mayo Clinic and BS and MS degrees in mathematics and electrical engineering from Brigham Young University. Since 1997, he has worked extensively with Python for numerical and scientific programming, most notably as the primary developer of the NumPy package, and as a founding contributor of the SciPy package. He is also the author of the definitive Guide to NumPy.

  • Gus Cavanaugh is a Product Marketing Manager at Anaconda, where he focuses on translating technical capabilities into user benefits. He has over five years’ experience in analytics and consulting for enterprises. Prior to joining Anaconda, he worked on projects ranging from small-scale data apps and dashboards to distributed Hadoop clusters at companies including IBM and Booz Allen Hamilton.

    Gus holds an MS in Systems Engineering from George Washington University and a BS in Business Administration from Washington & Lee University. He is a frequent speaker on analytics topics for non-technical audiences.

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