I was very excited with the release of the Raspberry Pi 4, not just because I am a great fan of the Raspberry Pi and wanted to get my hands on the latest and greatest; but also because I have been teaching my Computer Science classes pretty much exclusively using the Raspberry Pi computer for the past few years.
I say “pretty much” because there had always been a few sticking points when we had to leave my RPi CS classroom and up sticks to the Windows PC lab. In the most part it was when we needed to do any graphics editing (in Photoshop) or anything that relied on using Google Drive and Docs heavily.
It was with great excitement that I saw the new Pi 4 with 4 Gb of RAM and full gigabit networking… However as network boot was not available out-of-the-box and the PiServer software was not yet updated to be used with Pi 4s and Raspbian Buster; there was a bit of work to do…
With great thanks to the devs over at the PiServer github page, I now have a working PiServer setup for use with Pi 4 devices! Set up instructions below 😀
Continue reading Pi 4, Buster and PiServer
I was asked for our school’s latest INSET day to devise a half-hour session which I would repeat during the day for all teaching staff on the fairly loose topic of sharing good practice / sharing our classroom activities.
Now I was fairly sure that 30 minutes was not going to be long enough for me to introduce much interesting in the way of Computer Science or code for a group of teachers who had never experienced it before, so I began to think about what I could deliver.
My thoughts turned to some of the Computational Thinking lessons we do with our students as they are accessible and don’t require the use of a computer. The fact that I was going to deliver a session on sharing good practice from my teaching and that it would not involve any tech other than a projector (although it is a good one, you can visit BuyDLP.com to make sure) and presentation, would no doubt come as a shock to some of my colleagues!
Continue reading Computational Thinking for Educators
Over the past couple of months I have been lucky enough to be invited by the Raspberry Pi Foundation to attend two of their events in London.
The first of these events took place on September 8th, on the terrace of the Houses of Parliament, to celebrate the sale of 10 million Raspberry Pi computers. The event was attending by a wide cross-section of the Raspberry Pi community and afforded me the opportunity to meet with many people who I had, until then, only had had the pleasure of working with on-line. This opportunity also introduced me to a wide range of other partners and people involved in the development and engineering of Britain’s best-selling computer to date.
The second event I was invited to attend was held on the 5th October; a reception at St James’s Palace hosted by the Raspberry Pi Foundation’s patron, the Duke of York. This event was a celebration of, and a “thank you” to, the many different people and organisations who support and make up the Raspberry Pi community. Again, this event gave me the opportunity to meet up again with many familiar faces and get to know a few new faces, too!
Continue reading The Pi, The Parliament and The Palace
Our Head of Physics today asked me if there was any code we could use that would demonstrate to his A-Level Physics students the way that digital images are represented by red, green and blue pixels with a value between 0 and 255. The reason is because of the introduction of a digital imaging unit within the new A-Level specification, and whilst this could be taught as pure theory he felt a working example to illustrate the point might help.
This got me thinking and after a bit of searching I found a Stack Overflow post which gave an example of retrieving a single pixel’s RGB value and printing it out.
This example makes use of the PIL python library, which unfortunately has not been updated for Python 3. However we can make use of the Pillow library in Python 3 to achieve the same thing!
The image I have used in the code is this one:
Continue reading Extract RGB Values from an Image
This February I was one of the lucky few to be accepted on the Picademy event at Google’s Digital Garage in Manchester. More details about the event can be found here: https://www.raspberrypi.org/picademy/google/manchester/
This post is a summary of my thoughts after day one – more as a memorandum for me than anything else. Apologies if I have forgotten any of the sessions or put them in the wrong order; to coin a phrase used in the training, I reached “cognitive overload” fairly quickly!
Continue reading #Picademy – Day One