4. NumPy Basics - IPython Notebook Tutorial HD

NumPy tutorial using IPython Notebook development environment. We compare performance of ndarray vs python list performance and basic mathematical operations. We cover most common functions and indexing & slicing. IPython magic used is %timeit, %%timeit and %%capture. We covered the most common functions of NumPy which are: **List Creation** - np.arange() - np.array() - np.zeros() - np.random.random() - np.linspace() **Statistical analysis** - np,max() - np.min() - np.mean() - np.median() - np.std() **Reshaping** - np.reshape() - np.ravel() This is open source, Github/NBViwer: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/IPython-Tutorial/4%20-%20Numpy%20Basics.ipynb