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Vagrant::Config.run do |config|
  config.vm.define :pythondata do |pythondata_config|
    # Every Vagrant virtual environment requires a box to build off of.
    pythondata_config.vm.box = "precise64"

    # The url from where the 'config.vm.box' box will be fetched if it
    # doesn't already exist on the user's system.
    pythondata_config.vm.box_url = "http://files.vagrantup.com/precise64.box"

    # Forward a port from the guest to the host, which allows for outside

tianqig

This gist lets you keep IPython notebooks in git repositories. It tells git to ignore prompt numbers and program outputs when checking that a file has changed.

To use the script, follow the instructions given in the script's docstring.

For further details, read this blogpost.

The procedure outlined here is inspired by this answer on Stack Overflow.

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$ git config --list
user.name=King Kong
[email protected]

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$ git config --global user.name "King Kong"
$ git config --global user.email "[email protected]"

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$ git config --global color.ui true

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import plotly

py = plotly.plotly(username='**username**', key='**put your api key here**')


y=0
t=0
dt=0.01
g=9.8
v=4

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from sklearn.metrics import accuracy_score
import statsmodels.api as sm

logit = sm.Logit(Y_train, X_train)
result = logit.fit()
print(result.summary2())

Y_p = np.zeros((len(Y_test), 1))
p = result.predict(X_test)
Y_p[p > 0.5] = 1.

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# List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

# Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

# Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(valuelist)]

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You can use the types module:

>>> import types
>>> var = 1
>>> NumberTypes = (types.IntType, types.LongType, types.FloatType, types.ComplexType)
>>> isinstance(var, NumberTypes)
True

Note the use of a tuple to test against multiple types.

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