grej’s gists

grej / numba_combinations.py

Created March 26, 2020 05:04

Ramanujan's approximation to approximate the number of ways to choose a things from n things

	@numba.njit
	def ln_ramanujan(n):
	"""
	Ramanujan's approximation to take the ln of the factorial of a number
	"""
	return n * np.log(n) - n + np.log(n * (1 + 4 * n * (1 + 2 * n)))/6. + np.log(pi)/2

	@numba.njit
	def n_choose_k(n, k):
	"""

grej / replace_str_cols.py

Created July 10, 2019 03:34

	def replace_str_cols(df):
	"""
	replace all columns with string labels with numeric values
	"""
	new_df = df.copy()
	dd = defaultdict(LabelEncoder)
	# create the encoded dataframe
	edf = new_df.apply(lambda x: dd[x.name].fit_transform(x))
	for c in new_df.columns:
	if new_df[c].dtype == np.object:

grej / enumerate_letters.py

Last active September 4, 2019 22:05

	import string

	def enumerate_letters(count):
	"""
	Generates a list of unique capital letter strings accordingly
	eg. ['A', 'B', ... , 'AA', 'BB', 'CC', ...]

	:param df: number of unique letter strings to return
	:returns: list <str>: list of capital letter strings
	"""

grej / mb_transforms.py

Created April 4, 2019 04:55

partial derivative and ratio for pandas dataframes

	def _all_vars_are_numeric(df, *args):
	"""
	Check if all variables in a dataframe are numeric

	:param df: pandas dataframe
	:param *args: n dataframe columns names
	:returns: bool_: True if all are numeric
	"""
	return np.issubdtype(df[list(args)].dtypes.unique()[0], np.number)

grej / rank_encode_dataframe.py

Created November 13, 2018 15:28

Rank encode a dataframe column

	"""
	USAGE:

	>>> replace_with_rank_indexes(dataframe, column_name)

	or

	>>> df.pipe(replace_with_rank_indexes, column='column_name')

	Returns a copy of the dataframe with the designated column replaced by

grej / AliasSampling.ipynb

Created March 6, 2018 20:49 — forked from jph00/AliasSampling.ipynb

Fast weighted sampling using the alias method in numba

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grej / gist:94e20d55a9c9d89c8c5dc77bf2d3e1d3

Created February 12, 2018 14:53

	(venv) ubuntu@ip-10-30-254-4:/ops/mbdevops$ python deploy_stack.py emea master master
	Region: eu-central-1
	Stack: emea
	Portal branch: master
	Solver branch: master
	packer build -var-file=packer/aws/vars/eu-central-1/emea/worker.json -var 'region=eu-central-1' -var 'stack=emea' -var 'portal_branch=master'
	-var 'solver_branch=master' -var 'mode=worker' packer/aws/mb-app.json
	packer build -var-file=packer/aws/vars/eu-central-1/emea/portal.json -var 'region=eu-central-1' -var 'stack=emea' -var 'portal_branch=master'
	-var 'solver_branch=master' -var 'mode=portal' packer/aws/mb-app.json
	amazon-ebs output will be in this color.

grej / pytorch-numba.py

Created November 9, 2017 18:30 — forked from t-vi/pytorch-numba.py

	from timeit import default_timer as time
	import numpy as np
	from numba import cuda
	import os
	os.environ['NUMBAPRO_LIBDEVICE']='/usr/lib/nvidia-cuda-toolkit/libdevice/'
	os.environ['NUMBAPRO_NVVM']='/usr/lib/x86_64-linux-gnu/libnvvm.so.3.1.0'

	import numpy
	import torch
	import ctypes

grej / index.html

Created October 25, 2017 19:58

JS Bin // source http://jsbin.com/vafuzav

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width">
	<title>JS Bin</title>
	</head>
	<body>

	<script id="jsbin-javascript">

grej / index.html

Created October 19, 2017 15:21

JS Bin // source http://jsbin.com/vafuzav

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width">
	<title>JS Bin</title>
	</head>
	<body>

	<script id="jsbin-javascript">

Greg grej