120mm/140mm fans, lighting, gpu cooler gelid ice vision rev 2

Having a clear out of stuff

Pictures in the 1st and 2nd post

1. Gelid ice vision rev 2, comes with heatsinks but will need the pads to stick them down £20 posted

2. Two corsair fans from a case3 pin £3 each posted

3. Corsair 140mm fans 4pin £5 posted

4. Cold cathode 30cm twin white boxed £6 posted

Will be send 2nd sign for and bank transfer only please

Price and currency: Various
Delivery: Delivery cost is included
Payment method: Bank transfer
Location:

120mm/140mm fans, lighting, gpu cooler gelid ice vision rev 2

gtx 1080 founder edition

after a 1080 gtx blower type as going in small case

thanks

Location: coventry

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gtx 1080 founder edition

Dell E7450 Laptop

Fully working laptop for sale with extras…..
Dell E7450Intel Core i5-5300U
6GB Ram
500GB HDD / SSD Hybird
14.1 inch screen with this res 1366 x 768

ConditionI have had this laptop for over a year now, it was bought for me as a gift.I would say 9/10, no scratches on the lid, screen is in perfect condition.

Accessories
Zalman laptop cooler, always used since I have owned the laptop.
Dell Mouse (bought from dell online while we purchased the laptop)
Dell Case (bought from dell…

Dell E7450 Laptop

Windows 10 IoT Core Blockly

In this blog post you’ll learn about IoT Core Blockly, a new UWP application that allows you to program a Raspberry Pi 2 or 3 and a Raspberry Pi Sense Hat using a “block” editor from your browser:

IMAGE1

You create a program with interlocking blocks, which will run on the Raspberry Pi. For example, you can control the LED matrix on the Sense Hat and react to the inputs (buttons, sensors like temperature, humidity, etc.).

IMAGE2

IoT Core Blockly was inspired by these other super interesting projects:

In this blog post, we will show you how to set up your Raspberry Pi with IoT Core Blockly and get coding with blocks.

Also, we’ll open the hood and look at how we implemented IoT Core Blockly leveraging Windows 10 IoT Core, Google Blockly, the Sense Hat library and the Chakra JavaScript engine.

Set up IoT Core Blockly on your Raspberry Pi

What you will need:

  • A Raspberry Pi 2 or 3
  • A Raspberry Pi Sense Hat
  • A clean SD Card (at least 8 Gb) to install Windows IoT Core 10 Insider Preview
  • A computer or laptop running Windows 10, to install the IoT Dashboard

First, unpack your Sense Hat and connect it on top of the Raspberry Pi (having four small spacers is handy, but not required):

IMAGE3

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Now you will need to install the latest Windows IoT Core 10 Insider Preview on your SD card. Follow the instructions at www.windowsondevices.com in the “Get Started” section:

  • If you have a Raspberry Pi 2, go here
  • If you have a Raspberry Pi 3, go here

At this point, you should have the IoT Dashboard up and running on your Windows 10 desktop (or laptop) and your Raspberry Pi connected to the network (either Ethernet or Wireless). You should be able to see your Raspberry Pi on the IoT Dashboard “My devices” section:

IMAGE5

In IoT Dashboard, go to the section called “Try some samples.” You will see the IoT Core Blockly sample:

IMAGE6

Click on it and follow the instructions to install the UWP application onto your Raspberry Pi. After a few seconds, IoT Dashboard will open your favorite browser and connect to the IoT Core Blockly application running on your Raspberry Pi:

IMAGE7

Press the “Run” button and the IoT Core Blockly application will start the “Heartbeat” program, and you should see a blinking red heart on your Sense Hat!

Try some other samples (the green buttons on the top). Select a sample, inspect the “blocks” in the editor and press the “Start” button to start this new program.

Try modifying an example: maybe a different image, color or message. IoT Core Blockly remembers the last program you run on the Raspberry Pi and will reload it when you start the Raspberry Pi again.

Under the hood

How does IoT Core Blockly work? How did we build it?

The code is on GitHub: https://github.com/ms-iot/samples/tree/develop/IoTBlockly.

You can clone the https://github.com/ms-iot/samples repo and load the IoTBlockly solution using Visual Studio 2015 Update 3.

The structure of IoT Core Blockly is simple:

  • The main app starts a web server which serves the Blockly editor page on port 8000.
  • At this point, you can browse to your Raspberry Pi <ip-address>:8000 from a browser and access the Blockly editor.
  • We created custom blocks for specific Sense Hat functionalities (e.g. the LED display, the joystick, the sensors, etc.) and added them to specific “categories” (e.g. Basic, Input, LED, Images, Pin, etc.)
  • Blockly makes it simple to translate blocks to JavaScript, so we could generate a runnable JavaScript snippet. You can see what your block program translates to in JavaScript by pressing the blue button “Convert to JavaScript” – note: to enable “events” like “on joystick button pressed” we have a few helper JavaScript functions and we pay special attention to the order of the various functions.
  • At this point, we have a block editor that can generate a runnable JavaScript snippet: We need something that can execute this JavaScript snippet on a different thread without interfering with the web server.
  • To run the snippet, we instantiate the Chakra JavaScript engine (which is part of every Windows 10 edition) and start the snippet. Chakra makes it easy to stop the snippet at will.
  • Many of the blocks interact directly with the Sense Hat. We could have written a bunch of JavaScript code to control the Sense Hat, but we leveraged the complete and easy to use C# SenseHat library from EmmellSoft. Bridging between JavaScript and C# was extremely easy leveraging a wrapper UWP library.
  • Last, we added some machinery to make sure the last “run” snippet is saved on the Raspberry Pi (both the blocks layout and the JavaScript snippet are cached) and run again the next time the IoT Core Blockly app starts (e.g. when you restart your device).

If you inspect the IoTBlockly solution from GitHub, you can see 4 different projects:

  • IoTBlocklyBackgroundApp: The main app that orchestrate the web server and the Chakra JavaScript engine. Google Blockly code is part of this project.
  • ChakraHost: A wrapper library to simplify the use of the Chakra JavaScript engine (inspired by the “JavaScript Runtime Sample” you can find at https://github.com/Microsoft/Chakra-Samples (full path at http://bit.ly/1QgvdWa).
  • IoTBlocklyHelper: A simple UWP wrapper library to bridge between C# code and the JavaScript snippet. The SenseHat library from EmmellSoft is referenced in this project.
  • SimpleWebServer: A rudimentary web server based on Windows.Networking.Sockets.StreamSocketListener.

Let us know if you want more details about how this works. We can definitely geek out more about this! J

Next steps

IoT Core Blockly is a functional sample, but we think we can do more. For example:

  • add more support for colors,
  • add support for sounds,
  • add support for voice (speech and speech recognition),
  • add more blocks for GPIO, ADC, PWM, SPI, I2C,
  • add blocks for other “hats” (for example, the GrovePi),
  • send/Receive data to/from the cloud, over BT, etc.,
  • leverage the io environment,
  • improve the stability of the web server.

First, though, we want to hear from you J How you use IoT Core? What would you change or improve?

Don’t forget, IoT Core Blockly code is here on GitHub, and we gladly accept help, contributions and ideas!

Thanks for trying this out, and get started with Visual Studio!

In-Win 901 ITX Case, EVGA 650w Platinum PSU

In-Win 901 Mini-ITX Case, boxed, great condition – £50 collected or plus £10 for delivery

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EVGA Platinum 650w Fully Modular PSU, boxed complete like new – £70 collected or plus £10 for delivery

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4GB HYNIX PC3-12800S-11-11-F3 Ram for laptops, Single 4GB stick, excellent condition – £13 delivered

Price and currency: VA
Delivery: Delivery cost is not included
Payment method: PPG
Location: Manchester
Advertised…

In-Win 901 ITX Case, EVGA 650w Platinum PSU

Script to Inventory VM Guest OSes – Updated

The other day a colleague asked me how to use PowerShell to gather information about what operating system was running inside of each virtual machine on a Hyper-V server.  I went to point them to this blog post: Scripts to Inventory Virtual Machines [Hyper-V].  But then realized that there were two problems:

  • This script uses the v1 WMI namespace – so will only work on Windows Server 2008, 2008 R2 and 2012 hosts
  • This script is still using the old WMI v1 client APIs

So – here is an updated version:

Just like the last one, this will produce a nicely formatted table of what virtual machines are running, and what operating system is inside them.

Cheers,

Ben

Windows 10 Tip: Search your PC and the web with Cortana

Last week, we gave you a tour around what’s new in the Windows Store with the Windows 10 Anniversary Update. Today, we’re going to show you how you can quickly and easily search your PC and the web all in one place. Your customizable taskbar is a great place to start any search!

To search from your taskbar, simply click the Cortana* icon and type your query:

Search your PC and web from the taskbar

For example, if you search “Xbox” you’ll see it brings up apps, apps related to Xbox, Xbox-related settings, and additional Xbox entries in the Windows Store. It also allows you to select a web search for Xbox, or search for the term “Xbox” within the folders and documents on your PC.

Have a great week!

*Cortana available in select markets.

MINT Like NEW – Dell Gaming Laptop 4GB Dedicated R7 M270, 16GB RAM, i7 5th Gen, 1TB HDD, HDMI

8GB=£449
12GB=£499
16GB=£529

Looks amazing. No issues to report. Charger included.

Specs:

Windows 10 – 64 bit

Intel Core i7 5th Gen

Memory 8/12/16GB

Video Graphics – Radeon R7 M270 – 4GB Dedicated

15.6 Inch High Definition Widescreen LED screen

1TB Hard Drive

Wireless/Ethernet/Bluetooth

HDMI, SD Card, USB 3.0

Price and currency: 449
Delivery: Delivery cost is not included
Payment method: Bank Transfer, PayPal, Cash on Collection
Location: Hayes, UB3…

MINT Like NEW – Dell Gaming Laptop 4GB Dedicated R7 M270, 16GB RAM, i7 5th Gen, 1TB HDD, HDMI