How are data and next-generation computing technologies transforming our world? Who are the inventors, the business leaders, and the rebels and scientists at the heart of the AI revolution? On Numerically Speaking, we connect with guests from around the world to help you learn what's new, what's good, and what's next.
Numerically Speaking: The Anaconda Podcast
Claim This Podcastby Anaconda
5.0(6 reviews)
11 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
How are data and next-generation computing technologies transforming our world? Who are the inventors, the business leaders, and the rebels and scientists at the heart of the AI revolution? On Numerically Speaking, we connect with guests from around the world to help you learn what's new, what's good, and what's next.
Language
🇺🇲
Publishing Since
6/22/2022
2 verified contact emails on file for Numerically Speaking: The Anaconda Podcast
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
January 11, 2023
Data Engineering as a Scientific Tool
<p><span style="font-weight: 400;">In this episode, host</span> <a href="https://www.linkedin.com/in/pzwang/"><span style= "font-weight: 400;">Peter Wang</span></a> <span style= "font-weight: 400;">is joined by Dr. Patrick Kavanagh, an astrophysicist and software developer at the</span> <a href= "https://www.linkedin.com/school/dublin-institute-for-advanced-studies/"> <span style="font-weight: 400;">Dublin Institute for Advanced Studies</span></a><span style="font-weight: 400;">. Patrick works on the</span> <a href="https://webb.nasa.gov/"><span style= "font-weight: 400;">James Webb Space Telescope</span></a> <span style="font-weight: 400;">(JWST), helping to write code that allows scientists to interpret the raw data they receive from space.<br /> <br /></span> <span style="font-weight: 400;">Patrick talks to Peter about cleaning telescope data sets to make them more scientifically useful, and more. Patrick’s team working on the Mid-Infrared Instrument on the JWST writes software in Python to help deliver science-ready data to astronomers and astrophysicists. Patrick’s work facilitates more precise study of distant stars and galaxies in a way that fosters public trust.<br /> <br /> Peter Wang - <a href= "https://www.linkedin.com/in/pzwang/">https://www.linkedin.com/in/pzwang/</a></span></p> <p><span style="font-weight: 400;">Dublin Institute for Advanced Studies - <a href= "https://www.linkedin.com/school/dublin-institute-for-advanced-studies/"> https://www.linkedin.com/school/dublin-institute-for-advanced-studies/</a></span></p> <p><span style="font-weight: 400;">James Webb Space Telescope - <a href= "https://webb.nasa.gov/">https://webb.nasa.gov/</a></span></p> <p> </p> <p> </p> <p><span style="font-weight: 400;">Check out these relevant resources:</span></p> <ul> <li style="font-weight: 400;" aria-level="1"><a href= "https://ep2022.europython.eu/keynoters/patrick-kavanagh"><span style="font-weight: 400;"> Dr. Patrick Kavanagh - EuroPython</span></a></li> <li style="font-weight: 400;" aria-level="1"><a href= "https://analyticsindiamag.com/the-breakthrough-nasas-image-of-the-universe-has-a-unique-python-angle/"> <span style="font-weight: 400;">Python and James Webb</span></a></li> <li style="font-weight: 400;" aria-level="1"><a href= "https://explorersweb.com/james-webb-telescope-jupiter-images/#:~:text=Judy%20Schmidt%2C%20a%20Modesto%2C%20California,NASA's%20James%20Webb%20Space%20Telescope."> <span style="font-weight: 400;">Judy Schmidt (citizen scientist)</span></a><span style= "font-weight: 400;"> </span></li> </ul> <p><span style="font-weight: 400;">If you enjoyed today’s show, please leave a 5-star review. For more information, visit</span> <a href="http://anaconda.com/podcast"><span style= "font-weight: 400;">anaconda.com/podcast</span></a><span style= "font-weight: 400;">.</span></p> <p> </p> <p> </p> <p><span style="font-weight: 400;">#Computing #AI #Data #DataScience #Analytics</span></p>
December 28, 2022
Optimizing Python for Speed and Compatibility
<p><span style="font-weight: 400;">In the penultimate episode of season one, host</span> <a href= "https://www.linkedin.com/in/pzwang/"><span style= "font-weight: 400;">Peter Wang</span></a> <span style= "font-weight: 400;">and</span> <a href= "https://www.linkedin.com/in/carljm/"><span style= "font-weight: 400;">Carl Meyer</span></a><span style= "font-weight: 400;">, Software Engineer at</span> <a href= "https://www.linkedin.com/company/instagram/"><span style= "font-weight: 400;">Instagram</span></a> <span style= "font-weight: 400;">(owned by Meta), discuss considerations around making Python faster while maximizing compatibility and performance.</span></p> <p> </p> <p><span style="font-weight: 400;">Several years ago, Carl and his team started working on a project called</span> <a href= "https://github.com/facebookincubator/cinder"><span style= "font-weight: 400;">Cinder</span></a> <span style= "font-weight: 400;">in an effort to improve CPU efficiency across Meta’s servers by “[optimizing] things at the level of Python runtime.” While initially meant to serve as a stop gap, Cinder yielded impressive wins that transformed it into a premier and ongoing project at Instagram.</span></p> <p> </p> <p><span style="font-weight: 400;">In addition to Cinder, Peter and Carl discuss:</span></p> <p><span style="font-weight: 400;">- Carl’s experiences with various programming languages like TI-Basic, Perl, and PHP</span></p> <p><span style="font-weight: 400;">- Challenges around innovating on an established language with 30+ years of history</span></p> <p><span style="font-weight: 400;">- The potential evolution of Python use cases and best practices</span></p> <p><span style="font-weight: 400;">- And more!</span></p> <p> </p> <p><span style="font-weight: 400;">Peter Wang - <a href= "https://www.linkedin.com/in/pzwang/">https://www.linkedin.com/in/pzwang/</a></span></p> <p><span style="font-weight: 400;">Carl Meyer - <a href= "https://www.linkedin.com/in/carljm/">https://www.linkedin.com/in/carljm/</a></span></p> <p><span style="font-weight: 400;">Instagram - <a href= "https://www.linkedin.com/company/instagram/">https://www.linkedin.com/company/instagram/</a></span></p> <p><span style="font-weight: 400;">Cinder - <a href= "https://github.com/facebookincubator/cinder">https://github.com/facebookincubator/cinder</a></span></p> <p> </p> <p><span style="font-weight: 400;">If you enjoyed today’s show, please leave a 5-star review. For more information, visit</span> <a href= "https://www.anaconda.com/podcast">https://www.anaconda.com/podcast</a>.</p> <p> </p> <p><span style="font-weight: 400;">#Computing #AI #Data #DataScience #Analytics</span></p>
December 14, 2022
Climate Science, Scientific Computing, and Data Accessibility
<p><span style="font-weight: 400;">This episode’s conversation between host Peter Wang and</span> <a href= "https://www.linkedin.com/in/ryan-abernathey-32a70652/"><span style="font-weight: 400;"> Ryan Abernathey</span></a><span style="font-weight: 400;">, Associate Professor at</span> <a href= "https://www.linkedin.com/school/columbia-university/"><span style= "font-weight: 400;">Columbia University in the City of New York</span></a><span style="font-weight: 400;">, explores climate science, scientific computing, data accessibility, and more. </span></p> <p> </p> <p><span style="font-weight: 400;">Topics that Peter and Ryan cover include:</span></p> <p><span style="font-weight: 400;">- Cloud computing</span></p> <p><span style="font-weight: 400;">- Open data and collaboration</span></p> <p><span style="font-weight: 400;">- Climate science and the private sector</span></p> <p><span style="font-weight: 400;">- Open-source projects like</span> <a href="https://pangeo-forge.org/"><span style= "font-weight: 400;">Pangeo Forge</span></a> <span style= "font-weight: 400;">and</span> <a href= "https://docs.xarray.dev/en/stable/"><span style= "font-weight: 400;">Xarray</span></a></p> <p> </p> <p><span style="font-weight: 400;">Climate data is sometimes restricted in the way it flows between interested parties; the growth of private industry around data storage and dissemination has put up barriers to entry that can limit access to valuable systems and data. This is especially troubling to Ryan because these barriers often exclude some of the people who are most affected by climate change. He feels that usable information can and should be made accessible without undermining private interests.</span></p> <p> </p> <p>Peter Wang - <a href= "https://www.linkedin.com/in/pzwang/">https://www.linkedin.com/in/pzwang/</a></p> <p>Ryan Abernathey - <a href= "https://www.linkedin.com/in/ryan-abernathey-32a70652/">https://www.linkedin.com/in/ryan-abernathey-32a70652/</a></p> <p>Columbia University in the City of New York - <a href= "https://www.linkedin.com/school/columbia-university/">https://www.linkedin.com/school/columbia-university/</a></p> <p>Pangeo Forge - <a href= "https://pangeo-forge.org/">https://pangeo-forge.org/</a></p> <p>Xarray - <a href= "https://docs.xarray.dev/en/stable/">https://docs.xarray.dev/en/stable/</a></p> <p> </p> <p><span style="font-weight: 400;">You can find a human-verified transcript of this episode</span> <a href= "https://know.anaconda.com/rs/387-XNW-688/images/ANACON_%20Ryan%20Abernathey_HVT.docx.pdf"> <span style="font-weight: 400;">here</span></a><span style= "font-weight: 400;">. - <a href= "https://know.anaconda.com/rs/387-XNW-688/images/ANACON_%20Ryan%20Abernathey_HVT.docx.pdf"> https://know.anaconda.com/rs/387-XNW-688/images/ANACON_%20Ryan%20Abernathey_HVT.docx.pdf</a></span></p> <p> </p> <p><span style="font-weight: 400;">If you enjoyed today’s show, please leave a 5-star review. For more information, visit <a href= "https://www.anaconda.com/podcast">https://www.anaconda.com/podcast</a>.</span></p> <p> </p>
11 total episodes available
Deep-dive analytics for Numerically Speaking: The Anaconda Podcast
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Numerically Speaking: The Anaconda Podcast?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.