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IPython Interactive Computing and Visualization Cookbook Cover

IPython Interactive Computing and Visualization Cookbook

Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes

Publisher:Packt Publishing Limited
By:
Paid access
|Oct 2014

Key Features

    Book Description

    What you will learn

    • Code better by writing highquality, readable, and welltested 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 (scikitlearn)
    • Gain valuable insights into signals, images, and sounds with SciPy, scikitimage, and OpenCV
    • Learn how to write blazingly fast Python programs with NumPy, PyTables, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA and OpenCL), parallel IPython, MPI, and many more

    Who this book is for

    Table of Contents

    1. Basic Interactive Computing with Ipython
    2. Best practices in Interactive Computing
    3. Master the Notebook
    4. Profiling and Optimization
    5. High-Performance Computing
    6. Advanced Visualization
    7. Statistical Data Analysis
    8. Machine Learning
    9. Numerical Optimization
    10. Signal Processing
    11. Image and Audio Processing
    12. Deterministic Dynamical Systems
    13. Stochastic Dynamical Systems
    14. Graphs and Geometry
    15. Symbolic and Numerical Mathematics
    PDF ISBN: 978-1-78328-482-5
    Publisher: Packt Publishing Limited
    Copyright owner: © 2014 Packt Publishing Limited
    Publication date: 2014
    Language: English
    Pages: 512
    Related subjects:
    Computer sciences,
    Computer sciences, other

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