#497: Outlier Detection with Python

You've built your FastAPI app, it's running great locally, and now you want to share it with the world. But then reality hits -- containers, load balancers, HTTPS certificates, cloud consoles with 200 options. What if deploying was just one command? That's exactly what Sebastian ...  Show more

Building on the web is like working with the perfect clay. It’s malleable and can become almost anything. But too often, frameworks try to hide the web’s best parts away from us. Today, we’re looking at PyView, a project that brings the real-time power of Phoenix LiveView directl ...  Show more

Ready to take your data analysis skills to the next level? In this episode of What's New at CFI, we chat with subject matter expert Joseph Yeates about his newest course, Data Analysis in Python. This course is the perfect follow-up to our "Getting Started with Python" series and ...  Show more

Django core contributor Andrew Godwin joins the show to tell us all about Python and Django. If you've ever wondered why people love Python, what Django's virtues are as a web framework, or how Django Channels measure up to Phoenix's Channels and Rails' Action Cable, this is the ...  Show more

We talked with Steve Dower and Dan Taylor at Microsoft Build 2018 about the history of Python at Microsoft, the origination of IronPython, Python Tools for Visual Studio, flying under the radar to add support Python, fighting from within to support open source, and more. 

<div>

NumPy enables efficient storage and vectorized computation on large numerical datasets in RAM by leveraging contiguous memory allocation and low-level C/Fortran libraries, drastically reducing memory footprint compared to native Python lists. Pandas, built on top of NumP ...