bolshoibooze’s gists

bolshoibooze / kannel.conf

Created April 12, 2014 20:27 — forked from tobiasmcnulty/kannel.conf

	#
	# CONFIGURATION FOR USING SMS KANNEL WITH RAPIDSMS
	#
	# For any modifications to this file, see Kannel User Guide
	# If that does not help, see Kannel web page (http://www.kannel.org) and
	# various online help and mailing list archives
	#
	# Notes on those who base their configuration on this:
	# 1) check security issues! (allowed IPs, passwords and ports)
	# 2) groups cannot have empty rows inside them!

bolshoibooze / export _as_ excel

Created April 12, 2014 20:40


	from django.core.exceptions import PermissionDenied
	from django.http import HttpResponse
	from pyExcelerator import *


	def export_as_xls(modeladmin, request, queryset):
	"""
	Generic xls export admin action.
	usage:actions = [export_as_xls]

bolshoibooze / secret-key-gen.py

Created May 31, 2014 15:26 — forked from ndarville/secret-key-gen.py

	"""
	Two things are wrong with Django's default `SECRET_KEY` system:

	1. It is not random but pseudo-random
	2. It saves and displays the SECRET_KEY in `settings.py`

	This snippet
	1. uses `SystemRandom()` instead to generate a random key
	2. saves a local `secret.txt`

bolshoibooze / gist:17adacf7436783faba3c

Created July 13, 2015 06:06

Built-in XML android layouts(typically used in Adaptors)

	//simple_list_item_1
	<TextView xmlns:android="http://schemas.android.com/apk/res/android"
	android:id="@android:id/text1"
	style="?android:attr/listItemFirstLineStyle"
	android:paddingTop="2dip"
	android:paddingBottom="3dip"
	android:layout_width="fill_parent"
	android:layout_height="wrap_content" />

	//simple_list_item_2

bolshoibooze / export_as_excel.py

Created September 12, 2015 16:03

	#One of those handy scripts, see:http://djangotricks.blogspot.co.ke/2013/12/how-to-export-data-as-excel.html


	from .models import *
	from django.http import *

	"""
	# Quick 'how-to' guide
	# model in question
	class Duplicate(models.Model):

bolshoibooze / get_pepperstone_data.py

Last active April 29, 2020 16:29

Download Forex tick data from pepperstone <https://pepperstone.com/en/client-resources/historical-tick-data>

	import urllib2

	"""
	#Usage:
	in a python shell
	>> import get_pepperstone_data
	>> get_pepperstone_data.run()

	# Notes:
	1: Selection of pairs is highly opinionated

bolshoibooze / useful_pandas_snippets.py

Created October 10, 2015 18:21 — forked from bsweger/useful_pandas_snippets.md

Useful Pandas Snippets

	#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(value_list)]

bolshoibooze / note.md

Created October 14, 2015 10:48 — forked from fyears/note.md

how to install scipy numpy matplotlib ipython in virtualenv

if you are using linux, unix, os x:

pip install -U setuptools
pip install -U pip

pip install numpy
pip install scipy
pip install matplotlib
#pip install PySide

bolshoibooze / Python concave hull ( alpha shape ) .md

Created October 15, 2015 13:12 — forked from hellpanderrr/Python concave hull ( alpha shape ) .md

Concave hull in python using scipy and networkx

from scipy.spatial import Delaunay
import networkx as nx
 
points = [ [0,0],[0,50],[50,50],[50,0],[0,400],[0,450],[50,400],[50,450],[700,300],[700,350],[750,300],[750,350],
          [900,600],[950,650],[950,600],[900,650]
]
def concave(points,alpha_x=150,alpha_y=250):
  points = [(i[0],i[1]) if type(i) <> tuple else i for i in points]
  de = Delaunay(points)

bolshoibooze / rank_metrics.py

Created December 6, 2015 22:05 — forked from bwhite/rank_metrics.py

Ranking Metrics

	"""Information Retrieval metrics

	Useful Resources:
	http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
	http://www.nii.ac.jp/TechReports/05-014E.pdf
	http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
	http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
	Learning to Rank for Information Retrieval (Tie-Yan Liu)
	"""
	import numpy as np

Arthur Mwai bolshoibooze