{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Introducing Numerically Speaking: The Anaconda Podcast","description":"In this introductory episode of Numerically Speaking: The Anaconda Podcast, Anaconda CEO Peter Wang provides an overview of what to expect from this podcast. &amp;nbsp; Peter will be exploring a variety of topics within the dynamic world of data science, including quantitative computing, business, and entrepreneurship. Guests will include top data science experts as well as creators of cutting-edge open-source tools. &amp;nbsp; Whether you want to learn about AI, grow your data science career, or simply better understand the numbers and computers that shape our world, this podcast is for you. &amp;nbsp; We're excited to bring you insights about data science and the people that make it happen. &amp;nbsp; Be sure to subscribe to stay up to date with new episodes. &amp;nbsp; This episode is brought to you by Anaconda, the world's most popular data science platform. We are committed to increasing data literacy and providing data science technology for a better world. Anaconda is the best way to get started with, deploy, and secure Python data science software. &amp;nbsp; If you enjoyed today\u2019s show, please leave a 5-star review. For more information and links to the resources mentioned in this episode, please visit anaconda.com. &amp;nbsp; - Peter Wang on Twitter - https:\/\/twitter.com\/pwang  - Anaconda, Inc. on Twitter - https:\/\/twitter.com\/anacondainc   - Anaconda Website - https:\/\/anaconda.com  - Python - https:\/\/www.python.org\/  ","author_name":"Numerically Speaking: The Anaconda Podcast","author_url":"https:\/\/sites.libsyn.com\/422309","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/23506799\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/130409915"}