675: Pandas for Data Analysis and Visualizati...

Benjamin Todd, co-founder and President of 80,000 Hours and author of the new Penguin Random House book 80,000 Hours: How to Have a Fulfilling Career That Does Good, joins Jon Krohn for a major update on career strategy in the AI era, his first appearance since before ChatGPT exi ...  Show more

In this month's episode of ICYMI, hear from Chip Huyen, Andrey Kurenkov, Frank Basso and Gilbert Eijkelenboom, discussing why moats are shifting toward physical systems and accumulated product intuition, how Astrocade built vibe coding before the term existed, what it's really li ...  Show more

In this episode I speak about data transformation frameworks available for the data scientist who writes Python code. The usual suspect is clearly Pandas, as the most widely used library and de-facto standard. However when data volumes increase and distributed algorithms are ...

See the full show notes for this episode on the website at talkpython.fm/474 

Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us ...  Show more

How to Make Stunning Data Visualizations: An interview with Roshaan Khan, a Tableau Savant, my frijend, and one of Tableau’s featured artists of 2020. We talk about data visualization, Tableau vs Power BI, the power of personal projects, and how Roshaan got started wit ...