The Fifth Elephant 2019

Gathering of 1000+ practitioners from the data ecosystem


The Anaconda Journey

Submitted by Peter Wang (@pwang) on Wednesday, 19 June 2019

Session type: Full talk of 40 mins Status: Confirmed & Scheduled

View proposal in schedule


The founder of Anaconda talks about the history (and pre-history) of PyData, Anaconda, and the modern Python data science ecosystem. Candid stories about successes and failures along the way, and how the two are often intertwined.


  • The Early Years
    • Founding visions
    • State of Python and Scipy in early 2010s
    • Python & “Big Data”
  • Creation of Conda, Anaconda, PyData
    • Community
    • Technical initiatives
    • Creating an OSS Business
  • Future
    • Challenges as we grow & scale
    • Technical and Community hurdles



Speaker bio

Peter Wang is a co-founder of Anaconda, Inc., where he is CTO and leads the Open Source and Community Innovation team. He has been developing commercial scientific computing and visualization software for 20 years. He has extensive experience in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging.

As a creator of the PyData community and conferences, he devotes time and energy to growing the Python data science community and advocating and teaching Python at conferences around the world. Peter holds a BA in Physics from Cornell University.


  •   Amas Brown 4 months ago

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    It provides rich data types and easier to read syntax than any other programming languages
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    Compared to other programming languages, it allows more run-time flexibility
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    Libraries in Pythons are cross-platform compatible with Linux, Macintosh, and Windows
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    It supports interactive mode that allows interacting Testing and debugging of snippets of code
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