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Home > Computing and Information Technology Books > Computer programming / software engineering > Web programming > 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
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

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


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About the Book

Key Features Book DescriptionIntended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.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:
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


About the Author :
Cyrille Rossant, PhD, is a neuroscience researcher and software engineer at University College London. He is a graduate of École Normale Supérieure, Paris, where he studied mathematics and computer science. He has also worked at Princeton University and Collège de France. While working on data science and software engineering projects, he gained experience in numerical computing, parallel computing, and high-performance data visualization. He is the author of Learning IPython for Interactive Computing and Data Visualization, Second Edition, Packt Publishing.


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Product Details
  • ISBN-13: 9781783284825
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Language: English
  • Sub Title: Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes
  • ISBN-10: 178328482X
  • Publisher Date: 25 Sep 2014
  • Binding: Digital (delivered electronically)
  • No of Pages: 512


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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
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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
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