675: Pandas for Data Analysis and Visualizati...

In ICYMI Episode #1024, Jon Krohn tracks the gap between AI investment and AI return, from the technology side to the people side. Hear from Pete Johnson, Jerry Yurchisin, Priyanka Vergadia and Tristan Handy, discussing why four out of five organizations have the structures for A ...  Show more

In Episode #1023, Aishwarya Srinivasan (Co-Founder of The Gen Academy) joins Jon Krohn to work out where a competitive moat comes from once anything you can build in ten minutes, somebody else can build in ten minutes too. Ash came to teaching through Illuminate AI, the mentorshi ...  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 ...