background preloader

Ou acheter ce composant électronique : fournisseurs

Ou acheter ce composant électronique : fournisseurs

KARDW - Solarbotics Ardweeny « Products « Solarbotics We love Arduino. Those Italians know how to design an microcontroller platform and share it with the world. And Mr. Kimio Kosaka's " One-Chip-Arduino " project inspired us to develop the ; the smallest Arduino you can solder yourself with through-hole components! And folks this is a kit so some assembly is required and batteries are not included :). We've designed a backpack printed-circuit board the fits on top of an Atmel ATmega328P straddling it. Fit this little guy pretty much anywhere, just add 2.7V-5.5V for power and you are on your way. Fully Arduino-compatible! Stacks onto the back of an ATmega328 chip (included) Takes same 28-pin footprint as the microcontroller itself! Features Pin-13 LED and reset button - only 7 parts plus pins & PCB! Ideal for breadboard applications Accessory Backpacks available! Requires external USB-to-TTL FTDI-type cable or adapter, like the Solarbotics TTLyFTDI or we also have the SparkFun Simple FTDI Adapter (parts 50512 or 50510) available as well.

NoSQL Solution: Evaluation Guide [CHART] | Blog | Perfect Market™ - Content Matters You may think this is yet another blog on NoSQL (Not Only SQL) hype. Yes, it is. But if at this moment you are still struggling to find a NoSQL solution that works, read through to the end, and you may have decided what to do. (I will keep the answer to the end just for fun.) — For those of you who can’t wait for the answer, you can skip to the chart below. When I was involved in developing Perfect Market’s content processing platform, I desperately tried to find an extremely fast — in terms of both latency and processing time — and scalable NoSQL database solution to support simple key-value (KV) lookup. I had pre-determined requirements for the ‘solution-to-be’ before I started looking: Fast data insertion. I started looking without any bias in mind since I had never seriously used any of the NoSQL solutions. There are other very popular alternatives, like Cassandra, HBase, CouchDB … you name it, but we haven’t needed to try them yet because the one we selected worked so well.

Web Hooks / FrontPage What is a WebHook? The concept of a WebHook is simple. A WebHook is an HTTP callback: an HTTP POST that occurs when something happens; a simple event-notification via HTTP POST. A web application implementing WebHooks will POST a message to a URL when certain things happen. WebHooks are meant to do something. Push: receiving data in real time Push is the simplest of reasons to use WebHooks. Pipes: receiving data and passing it on A Pipe happens when your WebHook not only receives real-time data, but goes on to do something new and meaningful with it, triggering actions unrelated to the original event. Plugins: processing data and giving something in return This is where the entire web becomes a programming platform. How do they work? By letting the user specify a URL for various events, the application will POST data to those URLs when the events occur. Why should I care? As integrated as we perceive the web, most web applications today operate in silos. How do I implement WebHooks? No Specs?!

Polymaps The Open Graph Protocol Prezi Twitter Tools After the PowerPoint Twitter Tools, here’s a prototype version for Prezi — the cooler, flash-based competitor to PowerPoint: Embedding the Twitter tools in Prezi also helps provide support for live twitter in presentations for the Macintosh (neither PowerPoint for Mac nor Keynote support the embedding of Flash files, bizarrely). Here’s a link to the Flash file, if you want to try it yourself. A couple of notes: The tool only works in online mode, not in the Prezi DesktopClick the “Clear” button before saving, in order to avoid a Prezi error linked to the images shown in the presentationYou will not be able to save if the cursor is in one of the selection boxes — try clicking the “Use Vars” option, just to move the focus. I will update this page as I find better ways of doing this…

Prediction Markets: A Teaching Moment - Andrew McAfee - Harvard by Andrew McAfee | 2:14 PM December 1, 2009 A couple weeks back I taught sessions on Enterprise 2.0 to executives from a very large corporation. I emphasized that one of the benefits of E2.0 is the ability to harness collective intelligence, or the wisdom of crowds . To make this phenomenon concrete I showed a couple examples of prediction markets. They may seem like strange beasts but prediction markets are simply stock markets; they contain securities that are bought and sold by traders. As with the NYSE, traders build up portfolios of securities and try to maximize the value of their portfolios by buying and selling at the right time. As I wrote here , plenty of evidence exists to suggest that these markets work: in many cases they yield more accurate predictions than other forecasting methods. On the second-to-last day of their program, the executives in this particular class decided to test the idea of collective intelligence.