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anupkalburgi / gist:74bfb005a2e504bd8b396a0ea64b9437
Created February 2, 2024 11:24
Privacy Policy Template for Schedlite
Privacy Policy for Schedlite
Last Updated: [Date]
Welcome to [Your Company Name]'s Privacy Policy. Your privacy is of paramount importance to us. This Privacy Policy explains how we collect, use, protect, and handle your personal information when you use our services, visit our website, or interact with us via Facebook or other social media platforms.
1. Information We Collect
We may collect the following types of information:
Personal Identification Information: Name, email address, phone number, and any other contact details you provide when using our services or interacting with us.
@anupkalburgi
anupkalburgi / gist:e0f0b0a3399fea0e6538963592968a17
Created January 17, 2024 22:51
Rest host
Testing only
@anupkalburgi
anupkalburgi / pima.csv
Created May 8, 2021 17:46
Number of times pregnant Plasma glucose concentration a 2 hours in an oral glucose tolerance test Diastolic blood pressure (mm Hg) Triceps skin fold thickness (mm) 2-Hour serum insulin (mu U/ml) Body mass index (weight in kg/(height in m)^2) Diabetes pedigree function Age (years) Class variable
6 148 72 35 0 33.6 0.627 50 1
1 85 66 29 0 26.6 0.351 31 0
8 183 64 0 0 23.3 0.672 32 1
1 89 66 23 94 28.1 0.167 21 0
0 137 40 35 168 43.1 2.288 33 1
5 116 74 0 0 25.6 0.201 30 0
3 78 50 32 88 31 0.248 26 1
10 115 0 0 0 35.3 0.134 29 0
2 197 70 45 543 30.5 0.158 53 1
@anupkalburgi
anupkalburgi / gist:607243c3abe7a5366f03882cece1f2ba
Created May 8, 2021 17:45
Number of times pregnant,Plasma glucose concentration a 2 hours in an oral glucose tolerance test,Diastolic blood pressure (mm Hg),Triceps skin fold thickness (mm),2-Hour serum insulin (mu U/ml),Body mass index (weight in kg/(height in m)^2),Diabetes pedigree function,Age (years),Class variable
6,148,72,35,0,33.6,0.627,50,1
1,85,66,29,0,26.6,0.351,31,0
8,183,64,0,0,23.3,0.672,32,1
1,89,66,23,94,28.1,0.167,21,0
0,137,40,35,168,43.1,2.288,33,1
5,116,74,0,0,25.6,0.201,30,0
3,78,50,32,88,31,0.248,26,1
10,115,0,0,0,35.3,0.134,29,0
2,197,70,45,543,30.5,0.158,53,1
@anupkalburgi
anupkalburgi / decimal_to_binary.py
Created June 7, 2020 19:45
decimal_to_binary.py
1 def decimal_to_binary(num, rems):
2 if num == 0:
3 return rems[::-1]
4 else:
5 rem = num % 2
6 rems.append(rem)
7 return decimal_to_binary(num // 2, rems)
8
9 assert decimal_to_binary(193, []) == [1,1,0,0,0,0,0,1]
10
@anupkalburgi
anupkalburgi / explain.py
Created May 6, 2020 11:50
explain.py
# 7. Flatten a Nested List Structure ???
- what is nested list structure
A nested structure is when we have a structure within a similar structure.
Eg: List[List[1,2,3], List[4,5,6]] is a nested structure.
Because there are lists within a list. i.e Similiar structure within it.
- what is flattening
Flattening is converting a nested structure to a not nested structure, that is collapsing a list of lists to a list
Eg: Converting List[List[1,2,3], List[4,5,6]] to List[1,2,3,4,5,6]
- how to Flatten a Nested List Structure ???
We can do that by removing the nested ness of the strucure
@anupkalburgi
anupkalburgi / Quickstart.html
Created October 4, 2019 21:22
Quickstart Visual
<html>
<head><title>DAML Visualization</title><meta charset="utf-8"></head>
<body>
<div id='viz'></div>
<script>
!function(){function n(n){return n&&(n.ownerDocument||n.document||n).documentElement}function t(n){return n&&(n.ownerDocument&&n.ownerDocument.defaultView||n.document&&n||n.defaultView)}function e(n,t){return t>n?-1:n>t?1:n>=t?0:NaN}function r(n){return null===n?NaN:+n}function u(n){return!isNaN(n)}function i(n){return{left:function(t,e,r,u){for(arguments.length<3&&(r=0),arguments.length<4&&(u=t.length);u>r;){var i=r+u>>>1;n(t[i],e)<0?r=i+1:u=i}return r},right:function(t,e,r,u){for(arguments.length<3&&(r=0),arguments.length<4&&(u=t.length);u>r;){var i=r+u>>>1;n(t[i],e)>0?u=i:r=i+1}return r}}}function a(n){return n.length}function o(n){for(var t=1;n*t%1;)t*=10;return t}function l(n,t){for(var e in t)Object.defineProperty(n.prototype,e,{value:t[e],enumerable:!1})}function c(){this._=Object.create(null)}function s(n){return(n+="")===xa||n[0]===ba?ba+n:n}function f(n){return(n+="")[0]===ba?n.slice(1):n
@anupkalburgi
anupkalburgi / mondas.scala
Last active March 24, 2019 23:30
learning monads
object Test {
trait Monad[T] {
def flatMap[U](f: T => Monad[U]): Monad[U]
}
def unit[T](x: T): Monad[T] = ???
// Associative => m.flatMap(f).flatMap(g) == m.flatMap(x => f(x).flatMap(g))
//
@anupkalburgi
anupkalburgi / ch7.hs
Last active March 4, 2019 13:47
ch7.hs
snoc :: a -> [a] -> [a]
snoc x xs = xs ++ [x]
rr :: [a] -> [a]
rr = foldr (snoc) []
rre :: [a] -> [a]
rre = foldr ( \ x xs -> xs ++ [x] ) [] -- why is this wrong
{- |
@anupkalburgi
anupkalburgi / gist:9365697dd21fe7d2277c
Created August 19, 2015 10:56
Tmp Testing
>>> import json
>>> json_str = """{
... "COU": {
... "Data": "[{ Title: 'Sports Footwear', image: 'http://coupontown.cloudapp.net/CouponResource/images/Fashion/shoe.jpeg', Description: 'Below Rs.999, Sparx | Fila | Lotto', DiscountDetails: '10%-30%', Category: 'Fashion', CouponId: '1', StartDate: '8/12/2015 11:00:00 AM', Expiredate: '8/30/2015 11:59:00 PM', ExpiryInDay: '18:12:59'},{ Title: 'launching MI Mobile', image: 'http://coupontown.cloudapp.net/CouponResource/images/Electronics/onida-leoTV.jpeg', Description: 'Rs. 6,999, EMI from Rs. 340, 4.7 inch HD IPS Disp...4G LTE, Dual SIM, Camera: 8MP|2MP, 64-bit, Snapdragon 410', DiscountDetails: '10% Off', Category: 'Electronics', CouponId: '2', StartDate: '8/12/2015 11:00:00 AM', Expiredate: '8/25/2015 11:59:00 PM', ExpiryInDay: '13:12:59'},{ Title: 'Laptops with best deal', image: 'http://coupontown.cloudapp.net/CouponResource/images/Electronics/hp-notebook.jpeg', Description: 'Top Brand laptops in very less price', DiscountDetails: '20%-50%', Cat