Podcast: Data Engineering as a Scientific Tool
Show Notes In this episode, host Peter Wang is joined by Dr. Patrick Kavanagh, an astrophysicist and software developer at the Dublin Institute for Advanced Studies. Patrick works on the James Webb Space Telescope (JWST), helping to write code that allows scientists to interpret the raw data they receive from space. Patrick talks to Peter about cleaning telescope data sets […]
Optimizing Python for Speed and Compatibility
Show Notes In the penultimate episode of season one, host Peter Wang and Carl Meyer, Software Engineer at Instagram (owned by Meta), discuss considerations around making Python faster while maximizing compatibility and performance. Several years ago, Carl and his team started working on a project called Cinder in an effort to improve CPU efficiency across Meta’s servers by “[optimizing] things at the […]
Climate Science, Scientific Computing, and Data Accessibility
Show Notes This episode’s conversation between host Peter Wang and Ryan Abernathey, Associate Professor at Columbia University in the City of New York, explores climate science, scientific computing, data accessibility, and more. Topics that Peter and Ryan cover include: Cloud computing Open data and collaboration Climate science and the private sector Open-source projects like Pangeo Forge and Xarray Climate data […]
Shaping Best Practices for Monitoring ML Models
Show Notes In this episode, host Peter Wang is joined by Elena Samuylova, CEO and Co-Founder of Evidently AI. Peter and Elena discuss how Evidently AI’s open-source tooling is helping users monitor machine learning (ML) models, and why that’s important. Elena has found that Evidently AI’s open-source approach is attractive to data scientists and ML engineers who are ramping […]
Podcast: Snowflake and Advanced Analytics
Show Notes anaconda-snowflake-and-advanced-analytics-podcast-episode6-transcriptIn this episode, host Peter Wang speaks with Torsten Grabs, Director of Product Management at Snowflake, about how Snowflake solutions support professionals in data science, machine learning, and advanced analytics. Torsten has worked with data throughout his entire career. At Snowflake, he focuses on Snowflake’s data lake, data pipelines, and data science workloads, as well as Snowflake’s […]
Podcast: Modern Complexity and the Cybernetic Future
Show Notes In “Autopoiesis in Systems of People and Machines,” Peter Wang welcomes Paco Nathan. Paco is a Managing Partner at Derwen, Inc., a company that offers enterprise customers full-stack engineering for AI applications at scale, with an emphasis on open-source integrations. Paco forged a career in artificial intelligence when many people were skeptical of it and now boasts […]
Podcast: From Enthusiastic User to pandas Maintainer
Show Notes On this episode of Numerically Speaking: The Anaconda Podcast, host Peter Wang welcomes pandas maintainer Jeff Reback, Managing Director at Two Sigma. Jeff began his career on Wall Street in the 1990’s and used Perl for a long time. He developed an interest in Python in the 2000’s. He was then quickly drawn to pandas and began to […]
Podcast: A Specialized Approach to Hardware
Show Notes End users who are not schooled in hardware can often default to, “just give me something that works.” David Liu, Staff AI Engineer, Strategy & Vision for Data Science and AI Products at Intel, understands this thinking but also believes that end users can be educated on the advantages of configuring their computer hardware to […]
Podcast: Human in the Loop
Show Notes Machine learning (ML) has reached an exciting phase of development, a phase that Vicki Boykis, Senior ML Engineer at Duo Security* has characterized as the “steam-powered days.” In this episode of Numerically Speaking: The Anaconda Podcast, Vicki talks about the state of the industry and where she sees things heading. Vicki’s discussion with host Peter Wang covers: the […]
Software, Venture Capital, and the Future of Work
Show Notes While today’s software may seem magical compared to that of previous generations, it still takes multiple software iterations to fold in new fundamental technologies. Joining us for this episode is James Cham, Partner at Bloomberg Beta. Bloomberg Beta runs several seed-stage investment funds, with a particular interest in low-code/no-code/WebAssembly startups. In this episode, James and […]
