Fundamental…

• EAFP, LBYL

Caveats

• The Mutable Default Argument
• Python 3 integers have unlimited precision

Features

• Preserving the order of **kwargs in a function
• PEP 584 – Add union operator to dict

dims = [idims[i] for i from 0 <= i < ndims]

Generators, decorators

• Recursion and Generators
• Trying out a Retry decorator in Python

Profiling

• line_profiler

Scientific computing

• SciPy Cookbook
• Views versus copies in NumPy
• A gallery of interesting Jupyter Notebooks
  • Lectures on scientific computing with Python
• Awkward Array - a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms (Python library with C++ backend).
• Dask https://docs.dask.org/en/latest/deploying-hpc.html
• JAX: High-Performance Array Computing
• Python Plotting With Matplotlib (Guide)

Optimization

• Speeding up Python (NumPy, Cython, and Weave)
• A beginners guide to using Python for performance computing
• Cython for NumPy users
• Numba

Parallel computing

• MPI for Python
• https://pythonspeed.com/articles/python-multiprocessing/

CUDA libraries

• PyCUDA
• PyCULA
• scikit-cuda

PyQt

• PyQt5 tutorial
• pynsist (tool for building Windows installers)

Tutoring

• https://pythontutor.com/visualize.html