| Description |
1 online resource (1 volume) : illustrations |
| Series |
Community experience distilled |
|
Community experience distilled.
|
| Note |
"Quick answers to common problems." |
|
Includes index. |
| 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. |
| Subject |
Python (Computer program language)
|
|
Command languages (Computer science)
|
|
Information visualization.
|
|
Interactive computer systems.
|
|
Python (Langage de programmation) |
|
Langages de commande (Informatique) |
|
Visualisation de l'information. |
|
Systèmes conversationnels (Informatique) |
|
Command languages (Computer science) |
|
Information visualization |
|
Interactive computer systems |
|
Python (Computer program language) |
| Added Title |
Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python |
| ISBN |
9781783284825 |
|
178328482X |
|
9781322166223 |
|
1322166226 |
|
1783284811 |
|
9781783284818 |
|
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