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 days of NumPy up to the current state and future of the PyData ecosystem and how Quansight is contributing to that future. Special thanks to my Patreons Andrew Ng, Daniel Gerlanc, and Richard Craib. If you would like to support the podcast go to: https://patreon.com/twiecki Follow Travis on Twitter: https://twitter.com/teoliphant Follow me on Twitter: https ..read more

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 around Dask called Coiled Computing. In this episode we talk about the insights into open source he gained through his career, what Dask is and how it is funded, and then of course his new company. Links: https://twitter.com/mrocklin https://dask.org https://coiled.io https://matthewrocklin.com https://rapids.ai https://pangeo.org https://prefect.io Than ..read more

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 dive into his background in risk management and his frustrations behind trying to automate certain tasks using the currently available tools. This inspired him to write Prefect, an open-source dataflow automation tool for Python which focuses on the data scientist's needs. We go on to discuss his decisions and experiences in founding a company with a significant portion of the software being open-source. Finally, Jeremiah explains how ..read more

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 Fonnesbeck: Professor for biostatistics at Vanderbilt University and, as of recent, Data Scientist at the New York Yankees. We start off this discussion by talking about Bayesian statistics, probabilistic programming. Chris then talks about the history of PyMC and what the current status of PyMC4 is. We then dive more into his background and how he moved from marine ..read more

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 reason for being, and meditation. We then dive into his current project -- rt.live -- a website which tracks the spread characteristics of COVID-19. The statistical model underlying the website is Bayesian and built using PyMC3. Kevin shares why he chose that approach and how he got started on PyMC3. Show notes Kevin Systrom on Twitter and his blog In ..read more

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 reason for being, and meditation. We then dive into his current project -- rt.live -- a website which tracks the spread characteristics of COVID-19. The statistical model underlying the website is Bayesian and built using PyMC3. Kevin shares why he chose that approach and how he got started on PyMC3. Show notes Kevin Systrom on Twitter and his blog In ..read more

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 dive into his background in risk management and his frustrations behind trying to automate certain tasks using the currently available tools. This inspired him to write Prefect, an open-source dataflow automation tool for Python which focuses on the data scientist's needs. We go on to discuss his decisions and experiences in founding a company with a significant portion of the software being open-source. Finally, Jeremiah explains how ..read more

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 around Dask called Coiled Computing. In this episode we talk about the insights into open source he gained through his career, what Dask is and how it is funded, and then of course his new company. Links: https://twitter.com/mrocklin https://dask.org https://coiled.io https://matthewrocklin.com https://rapids.ai https://pangeo.org https://prefect.io Than ..read more

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 days of NumPy up to the current state and future of the PyData ecosystem and how Quansight is contributing to that future. Special thanks to my Patreons Andrew Ng, Daniel Gerlanc, and Richard Craib. If you would like to support the podcast go to: https://patreon.com/twiecki Follow Travis on Twitter: https://twitter.com/teoliphant Follow me on Twitter: https ..read more

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 Fonnesbeck: Professor for biostatistics at Vanderbilt University and, as of recent, Data Scientist at the New York Yankees. We start off this discussion by talking about Bayesian statistics, probabilistic programming. Chris then talks about the history of PyMC and what the current status of PyMC4 is. We then dive more into his background and how he moved from marine ..read more