This one-day workshop introduces NumPy, the fundamental library for numerical computing in Python, and how to use its building blocks. We will use iPython (or equivalently, Jupyter) notebook, an excellent interactive computing system, as the key interface to the numerical library. Although iPython is a great companion of NumPy, the former is not only useful in the numerical computing.
Attendees should be familiar with Python and Unix-based terminal operations (command-line user interface). Attendees should bring their own computers. The workshop will prepare a VirtualBox virtual machine image of Ubuntu Linux that is loaded with the necessary software packages and the workshop materials.
- Albert Huang
- Tzer-jen Wei
- Yung-Yu Chen
- Environment preparation
- User Interface
- Terminal mode
- Notebook
- ? for help
- Useful magic
- timeit, who
- run, load, edit, debug
- pylab, matplotlib, gui
- html, javascript, latex
- load_ext
- Administration
- !, %ls, %cd, %shell, %mkdir
- The look and feel of ndarray
- Visualization: matplotlib
- Creation of ndarray
- Manipulation of ndarray
- Iteration of ndarray
- Broadcasting
- Slicing
- Ufunc
- Performance
- Linear algebra
- Discrete Fourier transform
- Cython
- Image recognition
- JPEG-like image compression
- Hyrid image