Uploaded March 2022 | Updated September 2026, 2 weeks ago
This is the seventh episode of #PythonLiveLessons, a weekly live stream about Python code and more, hosted by Sebastiaan Mathôt. In this episode, we'll learn how to use pyproject.toml to add information about our package, and how to use flit to build our package and upload it to pypi so that users can easily install it with `pip install markdown_code_exec`.
This is the seventh episode of #PythonLiveLessons, a weekly live stream about Python code and more, hosted by Sebastiaan Mathôt. In this episode, we'll learn how to use pyproject.toml to add information about our package, and how to use flit to build our package and upload it to pypi so that users can easily install it with `pip install markdown_code_exec`.
![Classifying images with MobileNetV2 using Keras and Python [Part 3]
(See https://python.cogsci.nl for code and written tutorials.) This is the third of a series of video tutorials about deep learning with Keras in Python. Here I show how to import a pretrained neural network, MobileNetV2, and how to use this to classify an image. Classifying images with MobileNetV2 using Keras and Python [Part 3]](https://i.ytimg.com/vi/w8Qx40tHeEM/mqdefault.jpg)
![Python Generators 2: send and yield
[https://www.buymeacoffee.com/cogsci] For more Python tutorials, visit http://python.cogsci.nl/. In this video, I demonstrate how you can send information to generator functions to implement bi-directional communication. Code is available on osf.io/eyxc3. Python Generators 2: send and yield](https://i.ytimg.com/vi/x3N3JmgjXxg/mqdefault.jpg)







