Skip to content

Instantly share code, notes, and snippets.

<html>
<head>
<script src="https://code.jquery.com/jquery-3.3.1.slim.min.js" integrity="sha384-q8i/X+965DzO0rT7abK41JStQIAqVgRVzpbzo5smXKp4YfRvH+8abtTE1Pi6jizo" crossorigin="anonymous"></script>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js" integrity="sha384-JjSmVgyd0p3pXB1rRibZUAYoIIy6OrQ6VrjIEaFf/nJGzIxFDsf4x0xIM+B07jRM" crossorigin="anonymous"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.20.1/moment.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js" integrity="sha384-UO2eT0CpHqdSJQ6hJty5KVphtPhzWj9WO1clHTMGa3JDZwrnQq4sF86dIHNDz0W1" crossorigin="anonymous"></script>
</head>
<style type="text/css">
.header {
@ipreencekmr
ipreencekmr / OutlierFinder.py
Last active June 19, 2019 17:30
This class will return outliers present in your dataFrame based on iqr range.
#Lets check it via quartile range
from scipy.stats import iqr
import pandas as pd
import numpy as np
class OutlierDetector:
def __init__(self):
print('OutlierDetector->Init')
self.dataFrame = pd.DataFrame()
self.col_names = []
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import seaborn as sns
import numpy as np
import scipy.stats as stats
total_numbers = []
for i in range(0,30):
total_numbers.append(np.random.randint(0,100))
print('total_numbers are:\n ', total_numbers,'\n')
/**
* @jsx React.DOM
*/
class Greeting extends React.Component {
constructor(props) {
super(props);
}
render() {
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Working with React </title>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/0.14.0/react.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/0.14.0/react-dom.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/babel-core/5.8.23/browser.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/es6-shim/0.34.2/es6-shim.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/es6-shim/0.34.2/es6-sham.min.js"></script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Working with React </title>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/0.14.0/react.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/0.14.0/react-dom.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/babel-core/5.8.23/browser.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/es6-shim/0.34.2/es6-shim.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/es6-shim/0.34.2/es6-sham.min.js"></script>
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type='text/xsl' href='http://researchservice.greenwaymedical.com/stylesheets/ccd.xsl'?>
<ClinicalDocument xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:voc="urn:hl7-org:v3/voc" xmlns="urn:hl7-org:v3">
<realmCode code="US"/>
<typeId root="2.16.840.1.113883.1.3" extension="POCD_HD000040"/>
<id root="DOCUMENT_ID"/>
//
// ViewController.h
// Session Demo
//
// Created by Prince on 27/11/17.
// Copyright © 2017 Prince. All rights reserved.
//
#import <UIKit/UIKit.h>
//
// ViewController.m
// Session Demo
//
// Created by mCURA on 27/11/17.
// Copyright © 2017 Prince. All rights reserved.
//
#import "ViewController.h"