| Description |
1 online resource (1 volume) : illustrations |
| Series |
Community experience distilled |
|
Community experience distilled.
|
| Summary |
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. -- Edited summary from book |
| Notes |
"Quick answers to common problems." |
|
Includes index |
|
Online resource; title from cover (Safari, viewed October 26, 2014) |
| Subject |
Python (Computer program language)
|
|
Command languages (Computer science)
|
|
Information visualization.
|
|
Interactive computer systems.
|
|
COMPUTERS -- Data Visualization.
|
|
COMPUTERS -- Mathematical & Statistical Software.
|
|
COMPUTERS -- Data Modeling & Design.
|
|
Command languages (Computer science)
|
|
Information visualization
|
|
Interactive computer systems
|
|
Python (Computer program language)
|
| Form |
Electronic book
|
| ISBN |
9781783284825 |
|
178328482X |
|
9781322166223 |
|
1322166226 |
|
1783284811 |
|
9781783284818 |
|
