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IPython Interactive Computing and Visualization Cookbook - Cyrille Rossant

IPython Interactive Computing and Visualization Cookbook

By: Cyrille Rossant

eText | 25 September 2014 | Edition Number 1

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Book Description

Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

What you will learn

  • Code better by writing highquality, readable, and welltested programs; profiling and optimizing your code, and conducting reproducible interactive computing experiments
  • Master all of the new features of the IPython notebook, including the interactive HTML/JavaScript widgets
  • Analyze data with Bayesian and frequentist statistics (Pandas, PyMC, and R), and learn from data with machine learning (scikitlearn)
  • Gain valuable insights into signals, images, and sounds with SciPy, scikitimage, and OpenCV
  • Learn how to write blazingly fast Python programs with NumPy, PyTables, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA and OpenCL), parallel IPython, MPI, and many more

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