Houssem Fathallah houssemFat

## AllGattCharacteristics.java
package com.sam016.vsflatomation.service.ble;

import java.util.HashMap;
import java.util.UUID;

public class AllGattCharacteristics {
    private static HashMap<String, String> attributes = new HashMap();

    static {
        attributes.put("00002a00-0000-1000-8000-00805f9b34fb", "Device Name");

## horizontal-infinite-carousel.html
<!DOCTYPE html>
<html>

    <head>
        <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js">
        </script>
        <meta charset='utf-8' />
        <title>
           infinite loop carousel(horizontal)
        </title>

## nginxproxy.md

      
              1 file
            
          
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                houssemFat
                / nginxproxy.md
            
            
              Created
              May 12, 2016 10:18
                — forked from soheilhy/nginxproxy.md
            
              
                How to proxy web apps using nginx?
              
          
    Virtual Hosts on nginx (CSC309)

When hosting our web applications, we often have one public IP
address (i.e., an IP address visible to the outside world)
using which we want to host multiple web apps. For example, one
may wants to host three different web apps respectively for
example1.com, example2.com, and example1.com/images on
the same machine using a single IP address.
How can we do that? Well, the good news is Internet browsers

  
## leaflet-custom-map.html
<!DOCTYPE html>
<html>
<head>
	<title>Leaflet Custom Simple Map Example</title>
	<meta charset="utf-8" />

	<meta name="viewport" content="width=device-width, initial-scale=1.0">

	<link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-1.0.0-b1/leaflet.css" />
	<link rel="stylesheet" href="https://cdn.rawgit.com/ardhi/Leaflet.MousePosition/master/src/L.Control.MousePosition.css">

## canvas_bkg.js
var body, canvas, color, ctx, grad, canvasAdjust=true;
canvas = document.getElementsByTagName("canvas")[0];
ctx = null;
grad = null;
body = document.getElementsByTagName("body")[0];
color = 255;
if (canvas.getContext("2d")) {
  var w = canvas.width;
  var h = canvas.height;
  ctx = canvas.getContext("2d");

## git-cheatSheet.md

      
              1 file
            
          
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                houssemFat
                / git-cheatSheet.md
            
            
              Last active
              February 8, 2016 00:18
                — forked from hofmannsven/README.md
            
              
                My simply Git Cheatsheet
              
          
    Using Git

Global Settings

Related Setup: https://gist.github.com/hofmannsven/6814278
Related Pro Tips: https://ochronus.com/git-tips-from-the-trenches/

  
## useful_pandas_snippets.py
#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)]
	package com.sam016.vsflatomation.service.ble;

	import java.util.HashMap;
	import java.util.UUID;

	public class AllGattCharacteristics {
	private static HashMap<String, String> attributes = new HashMap();

	static {
	attributes.put("00002a00-0000-1000-8000-00805f9b34fb", "Device Name");
	<!DOCTYPE html>
	<html>

	<head>
	<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js">
	</script>
	<meta charset='utf-8' />
	<title>
	infinite loop carousel(horizontal)
	</title>
	var body, canvas, color, ctx, grad, canvasAdjust=true;
	canvas = document.getElementsByTagName("canvas")[0];
	ctx = null;
	grad = null;
	body = document.getElementsByTagName("body")[0];
	color = 255;
	if (canvas.getContext("2d")) {
	var w = canvas.width;
	var h = canvas.height;
	ctx = canvas.getContext("2d");
	#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)]