Research Catalog
IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python
- Title
- IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python / Cyrille Rossant.
- Author
- Rossant, Cyrille
- Publication
- Birmingham, UK : Packt Publishing Ltd., 2014.
Items in the Library & Off-site
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1 Item
| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
| Text | Request in advance | QA76.73.P98 R677 2014g | Off-site |
Holdings
Details
- Description
- v, 494 pages : illustrations; 24 cm
- Summary
- IPython Interactive Computing and Visualization Cookbook contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. The first part covers programming techniques, including code quality and reproducibility, code optimization, high-performance computing through dynamic compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics.
- 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. --
- Alternative Title
- Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python
- Subject
- Genre/Form
- Electronic books.
- Note
- "Quick answers to common problems"--Cover.
- Includes index.
- ISBN
- 1783284811
- 9781783284818
- OCLC
- 1040616819
- on1040616819
- SCSB-13571004
- Owning Institutions
- Columbia University Libraries