Publication

2014 - Packt Publishing, No place, unknown, or undetermined

Language

English

Word Count

128,000 words, Guess

Page Count

512 pages

Identifiers

and 2 more

Classifications

  • DDC006.78
  • LCCQA76.73.P98 R6773 2013eb

Description

With its widely acclaimed web-based notebook, IPython is an ideal gateway to data analysis and numerical computing in Python. This book contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. You will learn how to: code better by writing high-quality, readable, and well-tested 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 (scikit-learn); gain insight into signals, images, and sounds with SciPy, scikit-image, and OpenCV; write blazingly fast Python programs with NumPy, PyTables, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA and OpenCL), parallel IPython, MPI, and many more. --

Subjects

Links

Other Editions

  • IPython Interactive Computing and Visualization CookbookPackt Publishing2014-01-01

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