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    • IPython is based on an architecture that provides parallel and distributed computing. IPython enables parallel applications to be developed, executed, debugged and monitored interactively.
    • IPython Notebook is a web-based interactive computational environment for creating IPython notebooks. An IPython notebook is a JSON document containing an ordered list of input/output cells which can contain code, text, mathematics, plots and rich media. IPython notebooks can be converted to a number of open standard output formats (HTML, HTML presentation slides, LaTeX, PDF, ReStructuredText, Markdown, Python) through 'Download As' in the web interface and 'ipython nbconvert' in a shell.
    • Jupyter - IPython will continue to exist as a Python shell and a kernel for Jupyter, while the notebook and other language-agnostic parts of IPython will move under the Jupyter name.[11] Jupyter added support for Julia, R, Haskell and Ruby.
    • Django (Python frameworks)

Parallel Processing in Python

see Parallel Processing and Multiprocessing in Python

Parallel Computing?

GPU Cuda (local)

  • NVIDIA's Cuda GPUs
  • PyCuda - PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python

Cluster Computing

Cloud Computing

data/computing.txt · Last modified: 2016/09/05 10:53 by admin