dats'n'stats
        Interview-based podcast on all things data science, entrepreneurship, statistics, machine learning, open source, and Python. Formerly PyData Deep Dive.
      
      
    Episodes
5 episodes
    Kevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3
Kevin Systrom is the co-founder and former CEO of Instagram. In this episode we talk about his time after leaving the company, whether becoming a billionaire made him happier, how to decide what to work on, the Japanese concept of Ikigai, or a ...
        
          
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            Season 1
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            Episode 5
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          49:21
        
      
    Jeremiah Lowin - How to navigate your startup through the COVID-19 pandemic
In this episode I talk with Jeremiah Lowin, founder and CEO of Prefect, the company behind the open-source dataflow automation tool of the same name.We first...
        
          
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            Season 1
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            Episode 4
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          50:27
        
      
    Matt Rocklin - Parallel Computing & Founding OSS Companies
In this episode I talk with Matt Rocklin. Matt is best known for his work on Dask, a parallel computing package built into the PyData stack. After working on open source software at Anaconda and NVIDIA he now founded his own company centered ar...
        
          
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            Season 1
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            Episode 3
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          52:28
        
      
    Travis Oliphant - The past, present and future of PyData
Let's welcome the new year with a new episode of the PyData Deep Dive.In this episode I talk to Travis Oliphant: Founder of Anaconda Inc and Quansight Inc, as well as the creator of NumPy. In this episode Travis takes us from the early ...
        
          
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            Episode 2
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          1:01:37
        
      
    Chris Fonnesbeck - Probabilistic Programming
I am beyond excited to share this first episode of the PyData podcast with you. The idea is to have a free-form discussion with interesting guests which does not shy away from more advanced topics.In this episode I talk to Chris Fonnesb...
        
          
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            Season 1
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            Episode 1
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          54:07