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Python Data Science Handbook: full text in Jupyter Notebooks
Google Research
Learn how to design, develop, deploy and iterate on production-grade ML applications.
IPython Parallel: Interactive Parallel Computing in Python
PySpark-Tutorial provides basic algorithms using PySpark
GPU-Jupyter: Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
Book: Introduction to Python for Computational Science and Engineering
All things Qiskit Global Summer School 2023: Theory to Implementation - Lecture notes, Labs and Solutions
A runway dataset and a generator of synthetic aerial images with automatic labeling.
Examples and demos showing how to call functions from the nAG Library for Python
A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks
