#497: Outlier Detection with Python

Python in 2025 is in a delightfully refreshing place: the GIL's days are numbered, packaging is getting sharper tools, and the type checkers are multiplying like gremlins snacking after midnight. On this episode, we have an amazing panel to give us a range of perspectives on what ...  Show more

Have you ever thought about getting your small product into production, but are worried about the cost of the big cloud providers? Or maybe you think your current cloud service is over-architected and costing you too much? Well, in this episode, we interview Michael Kennedy, auth ...  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. 

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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 ...