#126: Kubernetes for Pythonistas

#126: Kubernetes for Pythonistas

Containers are revolutionizing the way we deploy and manage applications. These containers allow us to build, develop, test, and even deploy on the exact same system. We can build layered systems that fill in our dependencies. They even can play a crucial role in zero-downtime upgrades.

Episoder(542)

#343: Do Excel things, get notebook Python code with Mito

#343: Do Excel things, get notebook Python code with Mito

Here's a question: What's the most common way to explore data? Would you say pandas and matplotlib? Maybe you went more general and said Jupyter notebooks. How about Excel, or Google Sheets, or Number...

30 Nov 20211h 6min

#342: Python in Architecture (as in actual buildings)

#342: Python in Architecture (as in actual buildings)

At PyCon 2017, Jake Vanderplas gave a great keynote where he said, "Python is a mosaic." He described how Python is stronger and growing because it's being adopted and used by people with diverse tech...

23 Nov 20211h 1min

#341: 25 Pandas Functions You Didn’t Know Existed

#341: 25 Pandas Functions You Didn’t Know Existed

Do you do anything with Jupyter notebooks? If you do, there is a very good chance you're working with the pandas library. This is one of THE primary tools of anyone doing computational work or data ex...

17 Nov 202159min

#340: Time to JIT your Python with Pyjion?

#340: Time to JIT your Python with Pyjion?

Is Python slow? We touched on that question with Guido and Mark last episode. This time we welcome back friend of the show, Anthony Shaw. Here's there to share the massive amount of work he's been doi...

10 Nov 20211h 13min

#339: Making Python Faster with Guido and Mark

#339: Making Python Faster with Guido and Mark

There has a been a bunch of renewed interested in making Python faster. While for some of us, Python is already plenty fast. For others, such as those in data science, scientific computing, and even t...

4 Nov 20211h 1min

#338: Using cibuildwheel to manage the scikit-HEP packages

#338: Using cibuildwheel to manage the scikit-HEP packages

How do you build and maintain a complex suite of Python packages? Of course, you want to put them on PyPI. The best format there is as a wheel. This means that when developers use your code, it comes ...

17 Okt 20211h 17min

#337: Kedro for Maintainable Data Science

#337: Kedro for Maintainable Data Science

Have you heard of Kedro? It's a Python framework for creating reproducible, maintainable and modular data science code. We all know that reproducibility and related topics are important ones in the da...

9 Okt 20211h 3min

#336: Terminal magic with Rich and Textual

#336: Terminal magic with Rich and Textual

Have you heard of the package Rich? This library allows you to create very, well, rich terminal-based UIs in Python. When you think of what you can typically build with basic print statements, that ma...

5 Okt 202159min

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