Io programming is is an artificial language designed to express computations that can be performed by a machine, particularly a computer.
Download Io programming compiler.
Io programming Hello world sample source code.
Io programming tutorial.
PART 2: www.youtube.com How to use basic socket methods. All Java classes download.oracle.com Packages used: Java.net & Java.IO Source code download: www.mediafire.com
How to use basic socket methods. All Java classes download.oracle.com Packages used: Java.net & Java.IO Source code download: www.mediafire.com
Video Rating: 5 / 5
Lecture Series on Computer Organization by Prof. S. Raman, Department of Computer Science and Engineering, IIT Madras. For more details on NPTEL visit nptel.iitm.ac.in
Video Rating: 5 / 5
A more detailed description of the workings of the file IO used in my password program with a better explanation of the code.
Video Rating: 5 / 5
Google I/O 2009 – Performance Tips for Geo API Mashups Pamela Fox, Marcelo Camelo, Sasha Aickin — Contents — 0:10 – Performance Tips Intro 0:50 – Why Performance Matters 1:42 – Loading the Javascript API 11:15 – Loading Many Markers 14:02 – Redfin’s SuperMarker 19:40 – Too Many Dom Nodes 24:10 – View-Only Visualization 26:31 – Tiny Clickable Markers 30:20 – Rendering Large Polys 31:00 – Lightweight Poly 33:25 – Too Many Points 34:35 – Encoded Polys 35:40 – Browser + Vector Graphics = 
36:40 – Flash API 37:58 – Tile Layers 40:44 – Qualification Program 42:11 – Questions — End — This talk will provide tips on reducing latency for your maps mashup, discussing topics like marker management, clustering, custom tiles, static maps, flash maps, encoded polys, light markers, latency oriented features of the JavaScript Maps API, and more. For presentation slides and all I/O sessions, please go to: code.google.com/events/io/sessions.html
Video Rating: 4 / 5
Rapid Development with Python, Django, and Google App Engine Guido van Rossum (Google) Learn how to create great web applications quickly on Google App Engine using the Django web framework and the Python language. Google App Engine lets you host complete, scalable web applications written in Python with minimal fuss. This tutorial assumes basic familiarity with Python but definitely no advanced Python knowlege; Django experience is optional. You will learn how to use the Django web framework with the datastore API provided by Google App Engine, and how to get the most mileage out of the combination. You will also see how to use Django best practices like unit testing when developing for Google App Engine.
Google I/O 2009 – The Softer Side Of Schemas – Mapping Java Persistence Standards To the Google App Engine Datastore Max Ross Google App Engine is a powerful cloud-computing platform designed to help developers more easily create and manage scalable web applications. With the recent addition of Java support, developers can now interact with the Google App Engine datastore using JDO and JPA, both standard Java persistence APIs. In this talk we will discuss how these standards allow you to create a “soft schema” on top of a schema-less datastore, and the advantages this soft schema provides. We will also explore how the datastore’s “pre-sharded” transactional model is exposed in these standard interfaces. Finally, we will discuss how a soft schema maps to a traditional, relational schema, and examine some techniques for porting persistence code on and off App Engine. For presentation slides and all I/O sessions, please go to: code.google.com/events/io/sessions.html
Advanced Ruby Scripting for Sketchup Sang Ahn and Scott Lininger (Google) Google Sketchup contains a Ruby API for users who want to extend the capabilities of SketchUp. The interface allows users to create macros, such as automated component generators and additional tools, to be included in the menus within SketchUp. This session will cover two Ruby technologies that can be used to add functionality to SketchUp: WebDialogs and Ruby Extension Modules. For those comfortable with web programming, WebDialogs allow you to create rich user interfaces easily. For those with a native library they’d like to use, Ruby Extension Modules can help with high performance computations.
Video Rating: 4 / 5