Uploaded January 2018 | Updated September 2026, 2 weeks ago
(For more, visit https://pythontutorials.eu !) In this video, I show how you can create your own interactive Python interpreter, somewhat similar to the well-known IPython interpreter. In the process, I will demonstrate several powerful Python techniques, including generator functions, generator expressions, higher-order functions, and referential transparency. You can find the code here: osf.io/va78n
(For more, visit https://pythontutorials.eu !) In this video, I show how you can create your own interactive Python interpreter, somewhat similar to the well-known IPython interpreter. In the process, I will demonstrate several powerful Python techniques, including generator functions, generator expressions, higher-order functions, and referential transparency. You can find the code here: osf.io/va78n
![Set comprehensions in Python [Python comprehensions #3]](https://i.ytimg.com/vi/uTUV2eONqSQ/mqdefault.jpg "Set comprehensions in Python [Python comprehensions #3]
[https://www.buymeacoffee.com/cogsci] In this video, I demonstrate set comprehensions in Python. This is a way to build set objects with a single expression. The notebook for this video is available at https://osf.io/2b8wz/. For more tutorials, visit https://python.cogsci.nl/.")
![Classifying images with MobileNetV2 using Keras and Python [Part 3]](https://i.ytimg.com/vi/w8Qx40tHeEM/mqdefault.jpg "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.")
