NumPy cookbook - Info and Reading Options

"NumPy cookbook" Table Of Contents:

• 1- Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Winding Along with IPython; Introduction; Installing IPython; Using IPython as a shell; Reading manual pages; Installing matplotlib; Running an IPython notebook; Exporting an IPython notebook; Importing a web notebook; Configuring a notebook server; Exploring the SymPy profile; Chapter 2: Advanced Indexing and Array Concepts; Introduction; Installing SciPy; Installing PIL; Resizing images; Creating views and copies; Flipping Lena; Fancy indexing.
• 2- Indexing with a list of locationsIndexing with Booleans; Stride tricks for Sudoku; Broadcasting arrays; Chapter 3: Getting to Grips with Commonly Used Functions; Introduction; Summing Fibonacci numbers; Finding prime factors; Finding palindromic numbers; The steady state vector; Discovering a power law; Trading periodically on dips; Simulating trading at random; Sieving integers with the Sieve of Eratosthenes; Chapter 4: Connecting NumPy with the Rest of the World; Introduction; Using the buffer protocol; Using the array interface; Exchanging data with MATLAB and Octave; Installing RPy2.
• 3- Interfacing with RInstalling JPype; Sending a NumPy array to JPype; Installing Google App Engine; Deploying the NumPy code on the Google Cloud; Running the NumPy code in a PythonAnywhere web console; Chapter 5: Audio and Image Processing; Introduction; Loading images into memory maps; Combining images; Blurring images; Repeating audio fragments; Generating sounds; Designing an audio filter; Edge detection with the Sobel filter; Chapter 6: Special Arrays and Universal Functions; Introduction; Creating a universal function; Finding Pythagorean triples.
• 4- Performing string operations with chararrayCreating a masked array; Ignoring negative and extreme values; Creating a scores table with a recarray function; Chapter 7: Profiling and Debugging; Introduction; Profiling with timeit; Profiling with IPython; Installing line_profiler; Profiling code with line_profiler; Profiling code with the cProfile extension; Debugging with IPython; Debugging with PuDB; Chapter 8: Quality Assurance; Introduction; Installing Pyflakes; Performing static analysis with Pyflakes; Analyzing code with Pylint; Performing static analysis with Pychecker.
• 5- Testing code with docstringsWriting unit tests; Testing code with mocks; Testing the BDD way; Chapter 9: Speeding Up Code with Cython; Introduction; Installing Cython; Building a Hello World program; Using Cython with NumPy; Calling C functions; Profiling the Cython code; Approximating factorials with Cython; Chapter 10: Fun with Scikits; Introduction; Installing scikit-learn; Loading an example dataset; Clustering Dow Jones stocks with scikits-learn; Installing statsmodels; Performing a normality test with statsmodels; Installing scikit-image; Detecting corners; Detecting edges.

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