Introducing Numerically Speaking: The Anaconda Podcast

Anaconda is excited to introduce Numerically Speaking: The Anaconda Podcast, hosted by CEO Peter Wang. On the show, Peter and an impressive roster of guests including data science experts, creators of cutting-edge open-source tools, and executives pushing the boundaries of machine learning and artificial intelligence (AI) explore a variety of topics surrounding the dynamic world of data science, from quantitative computing to business and entrepreneurship and more.

Through this podcast, we aim to further Anaconda’s mission of democratizing data, empowering the world with data literacy, and contributing meaningful thought leadership to the data science community. Whether you want to learn about AI, kickstart your data science career, or simply better understand the numbers and computers that shape our world, this podcast is for you. We’re excited to bring you timely insights about the impact of data science from the people that make it happen.

Numerically Speaking: The Anaconda Podcast will officially launch in early September and can be found on Apple Podcasts, Spotify, Google Podcasts, and all other major podcast directories. We aim to release a new episode every other week. Follow or subscribe via your favorite app to stay up to date with new episodes, and leave a five-star review to let us know you like what you hear. For more information and to listen to available episodes, visit Anaconda.com/podcast.

About Host Peter Wang

Peter Wang is the CEO and co-founder of Anaconda. Prior to co-founding Anaconda (formerly Continuum Analytics), Peter spent 15 years 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 for increasing data literacy around the world. Peter holds a BA in Physics from Cornell University.

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