#31: Machine Learning with Python and scikit-learn

#31: Machine Learning with Python and scikit-learn

Machine learning allows computers to find hidden insights without being explicitly programmed where to look or what to look for. Thanks to the work of some dedicated developers, Python has one of the best machine learning platforms called scikit-learn. In this episode, Alexandre Gramfort is here to tell us all about scikit-learn and machine learning.

Avsnitt(524)

#397: Evaluating New Open Source Tech Panel

#397: Evaluating New Open Source Tech Panel

The beauty of open source software and libraries is that you're not stuck with a single option some vendor is offering. This is especially true when that support is poor and antiquated. Almost any capability you think of has multiple options even for a single language such as Python. Just think about how many web frameworks you can pick today.

5 Jan 20231h 3min

#396: AI Goes on Trial For Writing Code (crossover)

#396: AI Goes on Trial For Writing Code (crossover)

For links and very detailed show notes, please view [the original episode page](https://pythonbytes.fm/episodes/show/312/ai-goes-on-trial-for-writing- code) over on Python Bytes. Thanks for listening!

30 Dec 202237min

#395: Tools for README.md Creation and Maintenance

#395: Tools for README.md Creation and Maintenance

If you maintain projects on places like GitHub, you know that having a classy readme is important and that maintaining a change log can be helpful for you and consumers of the project. It can also be a pain. That's why I'm excited to welcome back Ned Batchelder to the show. He has a lot of tools to help here as well as some opinions we're looking forward to hearing. We cover his tools and a bunch of others he and I found along the way.

22 Dec 20221h 13min

#394: Awesome Jupyter Libraries and Extensions in 2022

#394: Awesome Jupyter Libraries and Extensions in 2022

Jupyter is an amazing environment for exploring data and generating executable reports with Python. But there are many external tools, extensions, and libraries to make it so much better and make you more productive. On this episode, we are going to cover a ton of them. We have Markus Schanta, the maintainer of the awesome-jupyter list on the show and we'll highlight a bunch of Jupyter gems.

15 Dec 20221h 2min

#393: Space Science with Python

#393: Space Science with Python

Space science is one of the few sciences that can spark wonder and imagining in almost anyone. It also happens to be the domain of Python with many missions, telescopes, and analysis happening with Python playing a major role.

8 Dec 20221h 3min

#392: Data Science from the Command Line

#392: Data Science from the Command Line

When you think data science, Jupyter notebooks and associated tools probably come to mind. But I want to broaden your toolset a bit and encourage you to look around at other tools that are literally at your fingertips. The terminal and shell command line tools. On this episode, you'll meed Jeroen Janssens. He wrote the book Data Science on The Command Line Book and there are a bunch of fun and useful small utilities that will make your life simpler that you can run immediately in the terminal. For example, you can query a CSV file with SQL right from the command line.

2 Dec 20221h 11min

#391: Pyscript powered by MicroPython

#391: Pyscript powered by MicroPython

No Python announcement of 2022 was met with more fanfare than pyscript. This project, announced at PyCon 2022, allows you to write Python files and run them in your browser in place of JavaScript or even with interactions between Python and JavaScript. There was just one catch: The runtime download was a 9MB WebAssembly file. That made its uses quite limited.

29 Nov 20221h 11min

#390: Mastodon for Python Devs

#390: Mastodon for Python Devs

Wondering what Mastodon is all about? More importantly, what does it offer Python developers and other open source folks compared to Twitter? There is a huge amount of interest in the tech community about what's happening at Twitter and whether they should expand to or even move to a new location. So I decided to put together a set of experienced Python developers who have been Mastodon inhabitants for a long time to discuss what this unexpected shift means for one of our important online watering holes.

15 Nov 20221h 8min

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