#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(543)

#344: SQLAlchemy 2.0

#344: SQLAlchemy 2.0

SQLAlchemy is the most widely used ORM (Object Relational Mapper) for Python developers. It's been around since February 2006. But we might be in for the most significant release since the first one: ...

9 Dec 20211h 6min

#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

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