zafarali

apt-get update
apt-get install -y git
apt-get install -y tmux
apt-get install -y python-pip
apt-get install -y python-numpy python-scipy
apt-get install -y python-matplotlib
apt-get install -y python-pandas
pip install scikit-learn
apt-get install -y ipython
pip install -e git+https://github.com/Theano/Theano.git@15c90dd3#egg=Theano==0.8.git

zafarali

# your polar functions  dr/dt and d\[Theta]/dt here:
field = {r (1 - r^2) (4 - r^2), 2 - r^2};

# Creates the stream plot
StreamPlot[
 Evaluate@TransformedField["Polar" -> "Cartesian", 
   field, {r, \[Theta]} -> {x, y}], {x, -3, 3}, {y, -3, 3}]

zafarali

# Load the data streamer:
ds = IOutils.data_streamer(num_sets='all')

# obtains the unique rows in a dataset
def unique_rows(data):
    uniq = np.unique(data.view(data.dtype.descr * data.shape[1]))
    return uniq.view(data.dtype).reshape(-1, data.shape[1])
    
X, Y = ds.next()  
Y = np.array(Y)

zafarali

[
    //makes go to lines easier
		{ "keys": ["super+;"], "command": "show_overlay", "args": {"overlay": "goto", "text": ":"} },
		
		// makes bookmarking easier
		{ "keys": ["f5"], "command": "toggle_bookmark" },
		{ "keys": ["f6"], "command": "next_bookmark" },
		{ "keys": ["super+f6"], "command": "prev_bookmark" }
]

zafarali

import matplotlib.pyplot as plt

def plot_polygon(vertices):
    plt.figure()
    for i in range(len(vertices)-1):
        vertex_set = [ vertices[i] ] + [ vertices[i+1] ]
        x, y = zip(*vertex_set)
        plt.plot(x,y)

    vertex_set = [ vertices[0] ] + [ vertices[-1] ]