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
- Basic Interactive Computing with Ipython
- Best practices in Interactive Computing
- Master the Notebook
- Profiling and Optimization
- High-Performance Computing
- Advanced Visualization
- Statistical Data Analysis
- Machine Learning
- Numerical Optimization
- Signal Processing
- Image and Audio Processing
- Deterministic Dynamical Systems
- Stochastic Dynamical Systems
- Graphs and Geometry
- Symbolic and Numerical Mathematics
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