CS 371: Module 2: Classes Part 1
Module content developed by Professor Tralie. Module engine developed by Professor Tralie and Professor Mongan.
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Notes
- numpy, or "numerical python," is a library that's used to store numerical lists called numpy arrays, and it has a lot of useful methods for manipulating arrays
- Numpy's arange method can be used to make an array of sequential numbers
- Numpy's random.randn method can be used to generate an array of random numbers sampled from a Gaussian distribution with mean 0 and standard deviation 1.
- Numpy's zeros method can be used to initialize an array with zeros.
- matplotlib is a python plotting library that works in synergy with numpy, and it allows us to plot numpy arrays. For example, you can plot a stem plot with
plt.stem, a regular line plot withplt.plot, and a histogram withplt.hist.