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Cyrille Rossant
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. --
| Publisher | Packt Publishing |
|---|---|
| Pages | 512 |
| Search language | english |
| ISBN_10 | 1-322-16622-6 primary |
| ISBN_10 | 1-783-28481-1 primary |
| ISBN_10 | 1-783-28482-X primary |
| ISBN_13 | 978-1-322-16622-3 primary |
| ISBN_13 | 978-1-783-28481-8 primary |
| ISBN_13 | 978-1-783-28482-5 primary |
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