Time for action installing Python on different operating systems
Time for action installing NumPy on Windows
Time for action installing NumPy on Linux
Time for action installing NumPy on Mac OS X with a GUI installer
Time for action installing NumPy with MacPorts or Fink
Time for action adding vectors
IPython—an interactive shell
Beginning with NumPy Fundamentals
Time for action creating a multidimensional array
Time for action creating a record data type
One-dimensional slicing and indexing
Time for action slicing and indexing multidimensional arrays
Time for action manipulating array shapes
Time for action stacking arrays
Time for action splitting arrays
Get into Terms with Commonly Used Functions
Time for action reading and writing files
Time for action loading from CSV files
Time for action calculating volume weighted average price
Time for action finding highest and lowest values
Time for action doing simple statistics
Time for action analyzing stock returns
Time for action dealing with dates
Time for action summarizing data
Time for action calculating the average true range
Time for action computing the simple moving average
Time for action calculating the exponential moving average
Time for action enveloping with Bollinger bands
Time for action predicting price with a linear model
Time for action drawing trend lines
Time for action clipping and compressing arrays
Time for action calculating the factorial
Convenience Functions for Your Convenience
Time for action trading correlated pairs
Time for action fitting to polynomials
Time for action balancing volume
Time for action determining the mode of stock returns
Time for action avoiding loops with vectorize
Time for action smoothing with the hanning function
Working with Matrices and ufuncs
Time for action creating matrices
Creating a matrix from other matrices
Time for action creating a matrix from other matrices
Time for action creating universal function
Time for action applying the ufunc methods on add
Time for action dividing arrays
Time for action computing the modulo
Time for action computing Fibonacci numbers
Time for action drawing Lissajous curves
Time for action drawing a square wave
Time for action drawing sawtooth and triangle waves
Bitwise and comparison functions
Time for action twiddling bits
Move Further with NumPy Modules
Time for action inverting matrices
Time for action solving a linear system
Finding eigenvalues and eigenvectors
Time for action determining eigenvalues and eigenvectors
Time for action decomposing a matrix
Time for action computing the pseudo inverse of a matrix
Time for action calculating the determinant of a matrix
Time for action calculating the Fourier transform
Time for action shifting frequencies
Time for action gambling with the binomial
Time for action simulating a game show
Time for action drawing a normal distribution
Time for action drawing the lognormal distribution
Time for action sorting lexically
Time for action sorting complex numbers
Time for action using searchsorted
Time for action extracting elements from an array
Time for action determining future value
Time for action getting the present value
Time for action calculating the net present value
Time for action determining the internal rate of return
Time for action calculating the periodic payments
Time for action determining the number of periodic payments
Time for action figuring out the rate
Time for action plotting the Bartlett window
Time for action smoothing stock prices with the Blackman window
Time for action plotting the Hamming window
Time for action plotting the Kaiser window
Special mathematical functions
Time for action plotting the modified Bessel function
Time for action - plotting the sinc function
Time for action asserting almost equal
Time for action asserting approximately equal
Time for action asserting arrays almost equal
Time for action comparing arrays
Time for action checking the array order
Time for action comparing objects
Time for action comparing strings
Time for action comparing with assert_array_almost_equal_nulp
Comparison of floats with more ULPs
Time for action comparing using maxulp of 2
Time for action plotting a polynomial function
Time for action plotting a polynomial and its derivative
Time for action plotting a polynomial and its derivatives
Time for action plotting a year's worth of stock quotes
Time for action charting stock price distributions
Time for action plotting stock volume
Time for action plotting price and volume returns with scatter plot
Time for action shading plot regions based on a condition
Time for action using legend and annotations
When NumPy is Not Enough: SciPy and Beyond
Time for action saving and loading a .mat file
Time for action analyzing random values
Samples comparison and SciKits
Time for action comparing stock log returns
Time for action detecting a trend in QQQ
Time for action filtering a detrended signal
Time for action fitting to a sine
Time for action calculating the Gaussian integral
Time for action interpolating in one dimension