Skip to contentif I have time, I can convert the actual code in these samples to Jupyter, and post the link in the doc.
In this folder are some Python samples I originally developed for the neighborhood coding program. These samples include a set of refactored Qiskit programs, a template for React apps with Flask backends, and a set of machine learning models, written in Tensorflow.
In order to demo Qiskit, I chose to try to refactor the teleportation and the QFT code from O’Reilly’s Programming Quantum Computers. Both are beautiful, but I wanted to try and see if I could make them smaller, or more Pythonic, while also walking through what the program is doing mathematically.
The template for the React app + Flask backend forms the basis for the simplest multipage app starter that I could develop, for educational purposes. After using Vue for the IBM interviews, I am curious to build a Vue + Flask skeleton, as Vue actually feels, in some ways, more coherent with Python.
The Tensorflow models include a number of project starters, as well as a YOLOv2 image recognition network I have used in projects for an urban planning group.
notes:
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