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# rename a dataframe column | |
dataframe = dataframe.rename(index=str, columns={'old_col_name': 'new_col_name'}) | |
# get all possible values for a string / categorical column | |
dataframe[column].value_counts(dropna=False) | |
# group data and count number of rows in a group | |
grouped = dataframe.groupby(color) | |
nreds = len(grouped.get_group('red')) |
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$ pip freeze > requirements.txt | |
$ pip install -r requirements.txt |
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# create environment with jupyter | |
conda create -n ENVNAME python=3 jupyter |
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# Easy way to remotely access a Jupyter notebook, by forwarding a port | |
# Forward local port 8888 to the remote's localhost port 8888 | |
ssh -L 8888:localhost:8888 user@10.2.2.99 |
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while true; do rsync -e "ssh -i /PATH/TO/PRIVATE/KEY.pem" -azvh --delete ./LOCAL-REPO/ ec2-user@IP:/REMOTE/PATH; sleep 2; done |
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kill -9 $(ps -ef | grep '[n]ode --debug-brk=5858' | awk '{print $2}') |
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// Uses underscore.js to wrap a function and upon calling | |
// prints the function source and the argument. | |
// Useful for debugging chains of promises. | |
// USAGE | |
// var myfunction = function(argument) {...}; | |
// myfunction = inspect(myfunction); // myfunction is now instrumented | |
var _ = require('underscore'); | |
var util = require('util'); | |
var inspect = function(fnToInspect) { |
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