Anaconda

Revolutionizing Data Science Package Management with conda

Manage Your Data Science Packages, Dependencies & Environments Through the Power of conda
Travis Oliphant, President, Chief Data Scientist & Co-Founder, creator of NumPy and author of Guide to NumPy: 2nd Edition, discusses how Anaconda solved one of the most headache-inducing problems in data science—overcoming the package dependency nightmare—through the power of conda.

Powering Anaconda Distribution at its core, conda is a cross-platform package and environment manager that helps data scientists easily manage their project dependencies and share environments with their peers.
In this webinar, Travis and conda Tech Lead Kale Franz demonstrate:
  • Why conda is the package manager loved by data scientists
  • Why conda is trusted by enterprises to manage their data science environments
  • How conda complements other packaging solutions, such as pip & Docker
  • How conda serves as a flexible packaging solution for your custom in-house needs
  • How conda simplifies data science software packaging and deployments

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.

  • Kale Franz is the lead developer for the conda project. He received an undergraduate degree in physics from the Colorado School of Mines and a Ph.D. in electrical engineering from Princeton University. Kale is a domain expert in the field of quantum cascade lasers, and made infrared semiconductor lasers for the NASA Jet Propulsion Laboratory immediately after graduate school. Before joining Continuum to lead conda development, Kale was a backend developer and DevOps tech lead at 23andMe.
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