Tutorial by Examples: ee

Using the each() Method

Your typical jQuery object will contain references to any number of DOM elements, and that's why jQuery objects are often referred to as collections. If you want to do any manipulating with specific elements (e.g. getting a data attribute, calculating specific positions) then you need to use .each()...

jquery-plugins • Getting started with jquery-plugins

The else and else if statements

It is possible to ask a program to execute a specific section of code only if an if statement is considered false. For this, we use the else key word. if(statement) { // Code to execute if the statement is true. } else { // Code to execute if the statement is false. } Both code se...

if-statement • Getting started with if-statement

H11 - Backlog too deep

When HTTP requests arrive faster than your application can process them, they can form a large backlog on a number of routers. When the backlog on a particular router passes a threshold, the router determines that your application isn’t keeping up with its incoming request volume. You’ll see an H11 ...

heroku • Heroku Error Codes

Strict Adherence to the IEEE Specification

By default, floating point operations on float and double do not strictly adhere to the rules of the IEEE 754 specification. An expression is allowed to use implementation-specific extensions to the range of these values; essentially allowing them to be more accurate than required. strictfp disable...

Java Language • Java Floating Point Operations

Simple example

from Queue import Queue question_queue = Queue() for x in range(1,10): temp_dict = ('key', x) question_queue.put(temp_dict) while(not question_queue.empty()): item = question_queue.get() print(str(item)) Output: ('key', 1) ('key', 2) ('key', 3) ('key', 4) ('key'...

Python Language • Queue Module

Simple Example

Sample Example Taken from one benchmarking import ijson def load_json(filename): with open(filename, 'r') as fd: parser = ijson.parse(fd) ret = {'builders': {}} for prefix, event, value in parser: if (prefix, event) == ('builders', 'map_key'): ...

Python Language • ijson

Playing Windows' beeps

Windows provides an explicit interface through which the winsound module allows you to play raw beeps at a given frequency and duration. import winsound freq = 2500 # Set frequency To 2500 Hertz dur = 1000 # Set duration To 1000 ms == 1 second winsound.Beep(freq, dur)

Python Language • Audio

Simple Behavior to Intercept Mouse Wheel Events

Implementing the Behavior This behavior will cause mouse wheel events from an inner ScrollViewer to bubble up to the parent ScrollViewer when the inner one is at either its upper or lower limit. Without this behavior, the events will never make it out of the inner ScrollViewer. public class Bubbl...

wpf • WPF Behaviors

Simple Echo Excample with Spring-Integration-Stream

Java code: public class StdioApplication { public static void main(String[] args) { new ClassPathXmlApplicationContext("classpath:spring/integration/stackoverflow/stdio/stdio.xml"); } } Xml config file <?xml version="1.0" encoding="UTF-8"?&...

spring-integration • Getting started with spring-integration

Speech Synthesis Example - Hello World

using System; using System.Speech.Synthesis; using System.Windows; namespace Stackoverflow.SpeechSynthesisExample { public partial class SpeechSynthesisSample : Window { public SpeechSynthesisSample() { InitializeComp...

wpf • Speech Synthesis

JPEG Streaming with Fresco using DraweeController

This example assumes that you have already added Fresco to your app (see this example): SimpleDraweeView img = new SimpleDraweeView(context); ImageRequest request = ImageRequestBuilder .newBuilderWithSource(Uri.parse("http://example.com/image.png")) .setProgressiveRende...

Android • Fresco

Comparison between BCMath and float arithmetic operations

bcadd vs float+float var_dump('10' + '-9.99'); // float(0.0099999999999998) var_dump(10 + -9.99); // float(0.0099999999999998) var_dump(10.00 + -9.99); // float(0.0099999999999998) var_dump(bcadd('10', '-9.99', 20)); // string(22) "0.01000000000000000000&q...

PHP • BC Math (Binary Calculator)

CKEditor - Inline Editor Example

Create a file ckeditor-inline.html with the following content: <!DOCTYPE html> <html> <head> <title>CKEditor Inline Demo!</title> </head> <body> <script src="//cdn.ckeditor.com/4.6.1/basic/ckeditor.js"></script> <...

ckeditor • Getting started with ckeditor

Taking screenshots

The following will produce a PNG image in the current directory of the loaded page. chrome --headless --screenshot https://stackoverflow.com

google-chrome • Headless browsing

Binary Tree

This is an example of an unbalanced binary search tree. A binary tree is structured conceptually as a hierarchy of nodes descending downward from a common root, where each node has two children: left and right. For example, suppose the numbers 7, 5, 9, 3, 11, 6, 12, 14 and 15 were inserted into a Bi...

VBA • Data Structures

Count the number of records per week

SELECT date_trunc('week', <>) AS "Week" , count(*) FROM <> GROUP BY 1 ORDER BY 1;

postgresql • Dates, Timestamps, and Intervals

Performing Asynchronous Tasks Where No Return Value Is Needed Using a Runnable Class Instance

Some applications may want to create so-called "Fire & Forget" tasks which can be periodically triggered and do not need to return any type of value returned upon completion of the assigned task (for example, purging old temp files, rotating logs, autosaving state). In this example, w...

Java Language • Using ThreadPoolExecutor in MultiThreaded applications.

Getting a feel for the data. Training Naive Bayes and kNN

In order to build a good classifier we will often need to get an idea of how the data is structered in feature space. Weka offers a visualisation module that can help. Some dimensions already seperate the classes quite well. Petal-width orders the concept quite neatly, when compared to petal-widt...

machine-learning • An introduction to Classificiation: Generating several models using Weka

Putting it together: Training a tree

Trees can build models that work on independent features and on second order effects. So they might be good candidates for this domain. Trees are rules that are chaind together, a rule splits instances that arrive at a rule in subgroups, that pass to the rules under the rule. Tree Learners generate...

machine-learning • An introduction to Classificiation: Generating several models using Weka

Performing Asynchronous Tasks Where a Return Value Is Needed Using a Callable Class Instance

It is often necessary to execute a long-running task and use the result of that task once it has completed. In this example, we will create two classes: One which implements the Callable<T> interface (where T is the type we wish to return), and one which contains a main() method. AsyncValueT...

Java Language • Using ThreadPoolExecutor in MultiThreaded applications.