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Here’s Mythic Beast’s Pete Stevens to talk about how we run the Raspberry Pi website on Raspberry Pis, and how Mythic Beasts can run your site on Raspberry Pis too!
In late 2016, Mythic Beasts launched a Raspberry Pi cloud, allowing you to rent a Raspberry Pi 3 as a service.
Raspberry Pi 4 is a much more capable computer, with more than twice the performance and, crucially, four times the memory. We were so excited by it, we bet Eben Upton a beer that we could host the launch site for Raspberry Pi 4 on Raspberry Pi 4. We’d demonstrated that it was just about possible to run a normal day on a cluster of eight Raspberry Pi 3s, but launch day is a bit more exciting — tens of millions rather than a million visitors.
Eben, being a fool supremely confident in the work that his team had done, took the bet and let us. On Thursday 20 June 2019, he dropped off eighteen 4GB RAM Raspberry Pi 4 computers that had previously been used in testing. We set about configuring them to replace all the web servers that run the Raspberry Pi blog.
We started the build on Friday 21 June. We immediately ran into our first ‘chicken and egg’ problem. The Raspberry Pi web servers are built from Puppet, based (at the time) on Debian Jessie. Raspberry Pi 4’s release OS was a not-yet-released version of Debian Buster, which at the time wasn’t supported by Puppet. In conjunction with Greg Annandale at the Raspberry Pi Foundation, we created a Puppet build that would run on Raspberry Pi 4, updated the configuration from Jessie to Buster (newer Apache/PHP), and did some testing.
We have pre-built enclosures from our Raspberry Pi 3 cloud. We followed the same approach using Power over Ethernet to provide power and data to each Raspberry Pi 4. This dramatically reduces the cabling and complexity of the setup. Late on Friday 21, just over 24 hours after we started, we moved the hastily constructed Raspberry Pi 4 setup to Sovereign House, a key Mythic Beasts data centre and one of the best-connected buildings in Europe.
Over the course of a few hours, we gradually moved the entire production load from the existing virtual servers to the Raspberry Pi 4 cloud and every page from the blog was being served directly off Raspberry Pi 4. We left it for two days to bed in before the real test: launch day.
The launch was almost perfectly smooth. The Raspberry Pi cluster coped fine with the tens of millions of users. However, the Raspberry Pi cluster and website is fronted by Cloudflare, which provides acceleration for static resources and protects the site from denial of service. Unfortunately, they had a two-hour outage in the middle of the launch thanks to a misconfigured internet optimiser run by a customer of Verizon. So the Raspberry Pi 4 cluster had a long lunch break wondering where all the users had gone.
We ran the website on the Raspberry Pi 4 cluster for over a month before reverting back to the usual virtual server-based environment. We’d proved that RaspberryPi 4 would make an awesome hosting platform.
We were already running Raspberry Pi 3 as a service for many customers (e.g. PiWheels, which builds Python packages for Raspberry Pi), and being able spin up Raspberry Pi 3 on demand is incredibly useful.
At launch, Raspberry Pi 4 wasn’t suitable. We rely on network boot in order to be able to remotely re-image Raspberry Pi. SD cards just aren’t very reliable; visiting the data centre for manual intervention on every SD card failure is not only expensive in time, but also means we’d have to maintain physical access to every Raspberry Pi 4 in our cloud. Netboot means that we just build large enclosures of 108 Raspberry Pis and seal them in, as they will never require physical attention. If one fails — and we’ve not yet seen one fail — we can shut it down and take it out of our database.
For Raspberry Pi 4 we had to wait for network booting to be a reality. We had access to beta firmware in November 2019 and built a sample Raspberry Pi 4 network boot setup. We then had to integrate it into our management code, build Raspberry Pi 4–compatible operating system images, and enhance our billing to cope with multiple models and by-the-hour billing. Then we had to do a file server and network upgrade: serving lots of machines with true gigabit needs more ‘oomph’ than the 100Mbps of Raspberry Pi 3. This also all needed to be backward-compatible so as not to break the existing Raspberry Pi 3 users. On 17 June 2020 we launched, and Raspberry Pi 4 is now ready to order in our cloud.
Yes. Raspberry Pi is twice as fast as the same-sized instances in AWS, for a quarter of the price. Just see for yourself:
| Raspberry Pi 4 | a1.large | mg6.medium | |
| Spec | 4 cores @ 1.5GHz 4GB RAM |
2 cores 4GB RAM |
1 core 4GB RAM |
| Monthly price | £8.63 | $45.35 (~£36.09) |
$34.69 (~ £27.61) |
| Requests per second | 107 | 52 | 57 |
| Mean request time | 457ms | 978ms | 868ms |
| 99th percentile request time | 791ms | 1247ms | 1056ms |
That sounds like a jolly nice idea. Keep watching the Mythic Beasts blog for updates.
The post Website hosting on Raspberry Pi 4 with Mythic Beasts appeared first on Raspberry Pi.
Let's Encrypt is a free, automated, and open certificate authority for your website, email server, database server and more. This page shows how to use Let's Encrypt to install certificate for Nginx web server get SSL labs A+ score on an OpenSUSE Linux version 15.1 or 15.2
The post How to secure Nginx with Let’s Encrypt on OpenSUSE 15.1/15.2 appeared first on nixCraft.
What’s your experience of learning to program? Have you given up and thought it just wasn’t for you? This has been the case for many people — and it’s the focus of a lot of research. Now that teaching programming is in the curriculum in many countries around the world, it’s even more important that we understand what we can do to make learning to program accessible and achievable for all students.
In education, one of the problems thought to cause students difficulty with learning anything — not just programming — is cognitive load. Cognitive load, a concept introduced in the 1980s by John Sweller, has received a lot of attention in the last few years. It is based on the idea that our working memory (the part of our memory that processes what we are currently doing) can only deal with a limited amount of information at any one time. For example, you can imagine that when you are just starting to learn to program, there is an awful lot going on in your working memory, and this can make the task of assimilating it all very challenging; selection, loops, arrays, and objects are all tricky concepts that you need to get to grips with. Cognitive load is a stress on a learner’s working memory, reducing their ability to process and learn new information.
Finding ways of teaching programming that reduce cognitive load is really key for all of us engaged in computing education, so we were delighted to welcome Dr Briana Morrison (University of Nebraska-Omaha) as the speaker at our latest research seminar. Briana’s talk was titled ‘Using subgoal Labels to Reduce Cognitive Load in Introductory Programming’.
The thrust of Briana’s and her colleagues’ research is that, as educators, we can design instructional experiences around computer programming so that they minimise cognitive load. Using worked examples with subgoal labels is one approach that has been shown to help a lot with this.
Think back to the way you may have learned mathematics: in maths, worked examples are often used to demonstrate how to solve a problem step by step. The same can be done when teaching programming. For example, if we want to write a loop in Python, the teacher can show us a step-by-step approach using an example, and we can then apply this approach to our own task. Sounds reasonable, right?
What subgoal labels add is that, rather than just calling the steps of the worked example ‘Step 1’, ‘Step 2’, etc., the teacher uses memorable labels. For example, a subgoal label might be ‘define and initialise variables’. Such labels not only help us to remember, but more importantly, they help us to generalise the teacher’s example and grasp how to use it for many other applications.
In her talk, Briana gave us examples of subgoal labels in use and explained how to write subgoal labels, as well as how to work with subject experts to find the best subgoal labels for a particular programming construct or area of teaching. She also shared with us some very impressive results from her team’s research examining the impact of this teaching approach.
Briana and her colleagues have carried out robust studies comparing students who were taught using subgoals with students who weren’t. The study she discussed in the seminar involved 307 students; students in the group that learned with worked examples containing subgoal labels gave more complete answers to questions, and showed that they could understand the programming constructs at a higher level, than students who learned with worked examples that didn’t contain the subgoal labels. The study also found that the impact of subgoal labels was even more marked for students in at-risk groups (i.e. students at risk of performing badly or of dropping out).
It seems that this teaching approach works really well. The study’s participants were students in introductory computer science classes at university, so it would be interesting to see whether these results can be replicated at school level, where arguably cognitive load is even more of an issue.
Briana’s seminar was very well received, with attendees asking lots of questions about the details of the research and how it could be replicated. Her talk even included some audience participation, which got us all tapping our heads and rubbing our bellies!
Very helpfully, Briana shared a list of resources related to subgoal labels, which you can access via her talk slides on our seminars page.
You can also read more about the background and practical application of cognitive load theory and worked examples including subgoal labels in the Pedagogy Quick Read series we’re producing as part of our work in the National Centre of Computing Education.
If you missed the seminar, you can find Briana’s presentation slides on our seminars page, where we’ll also soon upload a recording of her talk.
In our next seminar on Tuesday 14 July at 17:00–18:00 BST / 12:00–13:00 EDT / 9:00–10:00 PDT / 18:00–19:00 CEST, we’ll welcome Maria Zapata, Universidad Rey Juan Carlos, Madrid, who will be talking about computational thinking and how we can assess the computational thinking skills of very young children. To join the seminar, simply sign up with your name and email address and we’ll email you the link and instructions. If you attended Briana’s seminar, the link remains the same.
The post Reducing the load: ways to support novice programmers appeared first on Raspberry Pi.
Dans cette vidéo, Benoit Grunemwald vous présente les questions à aborder avec vos enfants afin de les sensibiliser aux enjeux de vie privée sur les médias sociaux.
L'article Capsule cybersécurité : Vos enfants et les médias sociaux a d'abord été publié sur WeLiveSecurity
I run the following command but getting error:
$ zypper ps
Check failed:
Please install package 'lsof' first.
How do I fix this error? How can I use the 'zypper ps' command on SELS/OpenSUSE 15.1/15.2 to find out if system reboot requires or not?
The post OpenSUSE install lsof package to get rid of ‘zypper ps’ errors appeared first on nixCraft.
Une intervention technologique peut-elle endiguer la pandémie tout en évitant les pièges que les applications de traçage représentent en termede vie privée?
L'article Applications de traçage – panacée technologique ou cauchemar pour la vie privée? a d'abord été publié sur WeLiveSecurity
La mise à jour hors-bande permet de corriger deux bogues d'exécution de code à distance dans la bibliothèque de codecs Windows, dont un classé comme critique.
L'article Microsoft publie une mise à jour d’urgence corrigeant deux importantes failles de Windows a d'abord été publié sur WeLiveSecurity
Le cybercriminel à l'origine des raids de rançon sur près de 23 000 bases de données menace de divulguer les données et d'alerter les régulateurs du RGPD
L'article Des milliers de bases de données de MongoDB victimes de rançongiciel a d'abord été publié sur WeLiveSecurity
I read your Nginx and Let’s Encrypt free SSL certificate tutorial. However, I use Lighttpd web server on AWS cloud. How do I secure my Lighttpd web server with Let's Encrypt free SSL certificate on my Ubuntu Linux 16.04/18.04/20.04 LTS or Debian Linux 8.x/9.x/10.x server? How can I configure Lighttpd with Let's Encrypt free TLS/SSL certificate?
The post How to secure Lighttpd with Let’s Encrypt TLS/SSL certificate on Debian/Ubuntu appeared first on nixCraft.
The latest OpenSUSE version is 15.2 and is an opportunity for both desktop and server users on the previous 15.1 release to update OpenSUSE Linux to get the newest software stack. It is easy to follow the procedure to upgrade OpenSUSE 15.1 to 15.2. In this tutorial, we will explain how to upgrade OpenSUSE 15.1 to 15.2.
The post How to upgrade OpenSUSE 15.1 to 15.2 using the CLI appeared first on nixCraft.
It feels like just yesterday that we released the Raspberry Pi keyboard and hub to the world. Well, it turns out it’s been more than a year, and time really has flown for the next stage of this project, which brings four new language/country options: Portugal, Norway, Sweden, and Denmark. They’re available to buy now from Raspberry Pi Approved Resellers.
The keyboard and hub has been a great success, with many users adopting our Raspberry Pi red and white colour scheme for their setup. As well as this satisfying uptake of the keyboard on its own, we’ve also sold tens of thousands of Raspberry Pi Desktop Kits which include a keyboard, alongside the official mouse, Beginners Guide and, of course, a Raspberry Pi.
We made the black and grey set up for users who own a black and grey Raspberry Pi case, but, with four out of five people choosing the red and white variant, it just goes to show what a bit of company branding can do for business!
We’ve found that the US keyboard is the most popular model, with over half our users choosing that option. As a Brit, I prefer the chunkier Enter key of the UK keyboard.
There is always a demand to support more users with keyboards to match their country and language so, as a second phase, we are announcing keyboards for the following countries:
These new keyboards are available now in red and white, with black and grey options coming soon. They are just print changes from previously released variants, but the devil proved to be in the detail.
For example, we hoped early on that the Portuguese keyboard would suit users in Brazil too, but we learned that Brazilian and European Portuguese keyboard layouts are quite different. Given the differences between UK and US keyboard layouts, this really shouldn’t have surprised us!
There is a very subtle difference between the Norway and Denmark keyboards. I wonder if anyone can spot it?
We also discovered that a Finnish keyboard layout exists, but I couldn’t identify any differences between it and the Sweden keyboard. While I don’t speak Finnish, I do speak Swedish – an awesome language that everyone should learn – so I came to these investigations with a bit of relevant knowledge. I found that there are very small changes between different manufacturers, but no consistent differences between Finnish and Swedish keyboards, and ultimately I was guided by what Raspberry Pi OS expects as the correct function for these keyboards. I do hope I am right about these two keyboards being the same… I expect I’ll soon find out in the comments!
We know that many users are waiting for a Japan keyboard variant. We hardly ever talk about new products before they are released, but we’re breaking our rule, in this case, to let you know that we hope to have some news about this very soon – so watch this space!
I’d like to give special thanks to Sherman Liu of Gembird for the new key matrix design, and Craig Wightman of Kinneir Dufort for his patience in designing all the key print revisions.
Happy coding, folks!
The post New keyboards for Portugal, Norway, Sweden, and Denmark appeared first on Raspberry Pi.
Les accès à distance peu sécurisées attirent surtout les acteurs malveillants utilisant les rançongiciels. Mais ils peuvent également ouvrir la porte aux cryptomineurs et aux utilisateurs de portes dérobées.
L'article RDP en danger: La pandémie attire les cybercriminels à utiliser les attaques de force brute a d'abord été publié sur WeLiveSecurity
Pick up parts of a spaceship, fuel it up, and take off in Mark Vanstone’s Python and Pygame Zero rendition of a ZX Spectrum classic
The original Jetpac, in all its 8-bit ZX Spectrum glory
For ZX Spectrum owners, there was something special about waiting for a game to load, with the sound of zeros and ones screeching from the cassette tape player next to the computer. When the loading screen – an image of an astronaut and Ultimate Play the Game’s logo – appeared, you knew the wait was going to be worthwhile. Created by brothers Chris and Tim Stamper in 1983, Jetpac was one of the first hits for their studio, Ultimate Play the Game. The game features the hapless astronaut Jetman, who must build and fuel a rocket from the parts dotted around the screen, all the while avoiding or shooting swarms of deadly aliens.
This month’s code snippet will provide the mechanics of collecting the ship parts and fuel to get Jetman’s spaceship to take off. We can use the in-built Pygame Zero Actor objects for all the screen elements and the Actor collision routines to deal with gravity and picking up items. To start, we need to initialise our Actors. We’ll need our Jetman, the ground, some platforms, the three parts of the rocket, some fire for the rocket engines, and a fuel container. The way each Actor behaves will be determined by a set of lists. We have a list for objects with gravity, objects that are drawn each frame, a list of platforms, a list of collision objects, and the list of items that can be picked up.
Jetman jumps inside the rocket and is away. Hurrah!
Our draw() function is straightforward as it loops through the list of items in the draw list and then has a couple of conditional elements being drawn after. The update() function is where all the action happens: we check for keyboard input to move Jetman around, apply gravity to all the items on the gravity list, check for collisions with the platform list, pick up the next item if Jetman is touching it, apply any thrust to Jetman, and move any items that Jetman is holding to move with him. When that’s all done, we can check if refuelling levels have reached the point where Jetman can enter the rocket and blast off.
If you look at the helper functions checkCollisions() and checkTouching(), you’ll see that they use different methods of collision detection, the first being checking for a collision with a specified point so we can detect collisions with the top or bottom of an actor, and the touching collision is a rectangle or bounding box collision, so that if the bounding box of two Actors intersect, a collision is registered. The other helper function applyGravity() makes everything on the gravity list fall downward until the base of the Actor hits something on the collide list.
So that’s about it: assemble a rocket, fill it with fuel, and lift off. The only thing that needs adding is a load of pesky aliens and a way to zap them with a laser gun.
Here’s Mark’s Jetpac code. To get it running on your system, you’ll need to install Pygame Zero. And to download the full code and assets, head here.
You can read more features like this one in Wireframe issue 40, available directly from Raspberry Pi Press — we deliver worldwide.
And if you’d like a handy digital version of the magazine, you can also download issue 40 for free in PDF format.
Make sure to follow Wireframe on Twitter and Facebook for updates and exclusive offers and giveaways. Subscribe on the Wireframe website to save up to 49% compared to newsstand pricing!
The post Code Jetpac’s rocket building action | Wireframe #40 appeared first on Raspberry Pi.
Raspberry Pi is excited to bring the Khronos OpenVX 1.3 API to our line of single-board computers. Here’s Kiriti Nagesh Gowda, AMD‘s MTS Software Development Engineer, to tell you more.
OpenVX™ is an open, royalty-free API standard for cross-platform acceleration of computer vision applications developed by The Khronos Group. The Khronos Group is an open industry consortium of more than 150 leading hardware and software companies creating advanced, royalty-free acceleration standards for 3D graphics, augmented and virtual reality, vision, and machine learning. Khronos standards include Vulkan®, OpenCL™, SYCL™, OpenVX™, NNEF™, and many others.
The Khronos Group and Raspberry Pi have come together to work on an open-source implementation of OpenVX™ 1.3, which passes the conformance on Raspberry Pi. The open-source implementation passes the Vision, Enhanced Vision, & Neural Net conformance profiles specified in OpenVX 1.3 on Raspberry Pi.
Application developers may always freely use Khronos standards when they are available on the target system. To enable companies to test their products for conformance, Khronos has established an Adopters Program for each standard. This helps to ensure that Khronos standards are consistently implemented by multiple vendors to create a reliable platform for developers. Conformant products also enjoy protection from the Khronos IP Framework, ensuring that Khronos members will not assert their IP essential to the specification against the implementation.
OpenVX enables a performance and power-optimized computer vision processing, especially important in embedded and real-time use cases such as face, body, and gesture tracking, smart video surveillance, advanced driver assistance systems (ADAS), object and scene reconstruction, augmented reality, visual inspection, robotics, and more. The developers can take advantage of using this robust API in their application and know that the application is portable across all the conformant hardware.
Below, we will go over how to build and install the open-source OpenVX 1.3 library on Raspberry Pi 4 Model B. We will run the conformance for the Vision, Enhanced Vision, & Neural Net conformance profiles and create a simple computer vision application to get started with OpenVX on Raspberry Pi.
The OpenVX 1.3 implementation is available on GitHub. To build and install the library, follow the instructions below.
Git clone the project with the recursive flag to get submodules:
Lateo.net - Flux RSS en pagaille (pour en ajouter : @ moi) 
git clone --recursive https://github.com/KhronosGroup/OpenVX-sample-impl.gitNote: The API Documents and Conformance Test Suite are set as submodules in the sample implementation project.
Use the Build.py script to build and install OpenVX 1.3:
cd OpenVX-sample-impl/
python Build.py --os=Linux --venum --conf=Debug --conf_vision --enh_vision --conf_nnBuild and run the conformance:
export OPENVX_DIR=$(pwd)/install/Linux/x32/Debug
export VX_TEST_DATA_PATH=$(pwd)/cts/test_data/
mkdir build-cts
cd build-cts
cmake -DOPENVX_INCLUDES=$OPENVX_DIR/include -DOPENVX_LIBRARIES=$OPENVX_DIR/bin/libopenvx.so\;$OPENVX_DIR/bin/libvxu.so\;pthread\;dl\;m\;rt -DOPENVX_CONFORMANCE_VISION=ON -DOPENVX_USE_ENHANCED_VISION=ON -DOPENVX_CONFORMANCE_NEURAL_NETWORKS=ON ../cts/
cmake --build .
LD_LIBRARY_PATH=./lib ./bin/vx_test_conformanceUse the open-source samples on GitHub to test the installation.
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IBM’s World Community Grid is working with scientists at Scripps Research on computational experiments to help find potential COVID-19 treatments. Anyone with a Raspberry Pi and an internet connection can help.
Scientists all over the globe are working hard to create a vaccine that could help prevent the spread of COVID-19. However, this process is likely to take many months — or possibly even years.
In the meantime, scientists are also searching for potential treatments for the symptoms of COVID-19. A project called OpenPandemics – COVID-19 is one such effort. The project is led by researchers in the Forli Lab at Scripps Research, who are enlisting the help of World Community Grid volunteers.
World Community Grid is an IBM social responsibility initiative that supports humanitarian scientific research.
As a World Community Grid volunteer, you download a secure software program to your Raspberry Pi, macOS or Windows computer, or Android device. This software program (called BOINC) is used to run World Community Grid projects, and is compatible with the Raspberry Pi OS and most other operating systems. Then, when your device is not using its full power, it automatically runs a simulated experiment in the background that will help predict the effectiveness of a particular chemical compound as a possible treatment for COVID-19. Finally, your device automatically returns the results of the completed simulation and requests the next simulation.
Over the course of the project, volunteers’ devices will run millions of simulations of small molecules interacting with portions of the virus that causes COVID-19. This is a process known as molecular docking, which is the study of how two or more molecules fit together. When a simulated chemical compound fits, or ‘docks’, with a simulation of part of the virus that causes COVID-19, that interaction may point to a potential treatment for the disease.
World Community Grid combines the results from your device along with millions of results from other volunteers all over the world and sends them to the Scripps Research team for analysis. While this process doesn’t happen overnight, it accelerates dramatically what would otherwise take many years, or might even be impossible.
OpenPandemics – COVID-19 is the first World Community Grid project to harness the power of Raspberry Pi devices, but the World Community Grid technical team is already working to make other projects available for Raspberry Pi very soon.
Scientists have learned from past outbreaks that pandemics caused by newly emerging pathogens may become more and more common. That’s why OpenPandemics – COVID-19 was designed to be rapidly deployed to fight future diseases, ideally before they reach a critical stage.
To help address future pandemics, researchers need access to swift and effective tools that can be deployed very early, as soon as a threatening disease is identified. So, the researchers behind OpenPandemics – COVID-19 are creating a software infrastructure to streamline the process of finding potential treatments for other diseases. And in keeping with World Community Grid’s open data policy, they will make their findings and these tools freely available to the scientific community.
World Community Grid is thrilled to make OpenPandemics – COVID-19 available to everyone who wants to donate computing power from their Raspberry Pi. Every device can play a part in helping the search for COVID-19 treatments. Please join us!
The post Volunteer your Raspberry Pi to IBM’s World Community Grid appeared first on Raspberry Pi.
One of our fave makers, Wayne from Devscover, got a bit sick of losing at Scrabble (and his girlfriend was likely raging at being stuck in lockdown with a lesser opponent). So he came up with a Raspberry Pi–powered solution!
Using a Raspberry Pi High Quality Camera and a bit of Python, you can quickly figure out the highest-scoring word your available Scrabble tiles allow you to play.
You don’t have to use a Raspberry Pi 3B, but you do need a model that has both display and camera ports. Wayne also chose to use an official Raspberry Pi Touch Display because it can power the computer, but any screen that can talk to your Raspberry Pi should be fine.
Firstly, the build takes a photo of your Scrabble tiles using raspistill.
Next, a Python script processes the image of your tiles and then relays the highest-scoring word you can play to your touchscreen.
The key bit of code here is twl, a Python script that contains every possible word you can play in Scrabble.
From 4.00 minutes into his build video, Wayne walks you through what each bit of code does and how he made it work for this project, including how he installed and used the Scrabble dictionary.
Fellow Scrabble-strugglers have suggested sneaky upgrades in the comments of Wayne’s YouTube video, such having the build relay answers to a more discreet smart watch.
No word yet on how the setup deals with the blank Scrabble tiles; those things are like gold dust.
In case you haven’t met the Raspberry Pi High Quality Camera yet, Wayne also did this brilliant unboxing and tutorial video for our newest piece of hardware.
And for more projects from Devscover, check out this great Amazon price tracker using a Raspberry Pi Zero W, and make sure to subscribe to the channel for more content.
The post Be a better Scrabble player with a Raspberry Pi High Quality Camera appeared first on Raspberry Pi.
I need VIM text editor on my OpenSUSE cloud server, and it is missing. How do I install vim on OpenSUSE/SUSE Linux cloud server?
The post How to install vim on OpenSUSE/SUSE Linux using zypper appeared first on nixCraft.
Un gestionnaire de mots de passe peut rendre votre vie numérique à la fois plus simple et plus sûre. Y a-t-il des inconvénients à s'appuyer sur un logiciel pour créer et stocker vos mots de passe?
L'article Qu’est‑ce qu’un gestionnaire de mots de passe et en quoi peut‑il vous être utile? a d'abord été publié sur WeLiveSecurity
La cyberintimidation peut arriver à tout le monde, à tout moment - et à tout âge. Comment les adultes peuvent-ils faire face aux différentes formes d'abus et de harcèlement en ligne?
L'article La cyberintimidation: un problème qui n’affecte pas que les jeunes! a d'abord été publié sur WeLiveSecurity
Join us for Digital Making at Home: this week, young people can learn about encryption and e-safety with us! With Digital Making at Home, we invite kids all over the world to code along with us and our new videos every week.
So get ready to decode a secret message with us:
Check out this week’s code-along projects!
And tune in on Wednesday 2pm BST / 9am EDT / 7.30pm IST at rpf.io/home to code along with our live stream session.
PS: If you want to learn how to teach students in your classroom about encryption and cybersecurity, we’ve got the perfect free online courses for you!
The post Let’s learn about encryption with Digital Making at Home! appeared first on Raspberry Pi.
This Minecraft sign uses a Raspberry Pi to notify you when, and how many of, your friends are logged into your dedicated Minecraft server.
Let’s start by pointing out how wonderfully nostalgic many of Wes ‘Geeksmithing’ Swain’s projects are. From his Raspberry Pi–housing cement Thwomp that plays his favourite Mario games to The NES Project, his NES replica unit with a built-in projector — Wes makes the things we wished for as kids.
The NES Project covered in HackSpace magazine
We honestly wouldn’t be surprised if his next project is a remake of Duckhunt with servo-controlled ducks, or Space Invaders but it’s somehow housed in a flying space invader that shoots back with lasers. Honestly, at this point, we wouldn’t put it past him.
In the video, Wes covers the project in two parts. Firstly, he shows off the physical build of making the sign, including laser-cut acrylic front displayed with controllable LED lights, a Raspberry Pi Zero, and the wooden framing.
Secondly, he moves on to the code, in which he uses mcstatus, a Python class created by Minecraft’s Technical Director Nathan Adams that can be used to query servers for information. In this instance, Wes is using mcstatus to check for other players on his group’s dedicated Mincecraft server, but the class can also be used to gather mod information. You can find mcstatus on GitHub.
Each friend is assigned a letter that illuminates if they’re online.
Lucky for Wes, he has the same number of friends on his server as the number of letters in ‘Minecraft’, so for every friend online, he’s programmed the display to illuminate a letter of the Minecraft logo. And while the server is empty, he can also set the display to run through various light displays, including this one, a dedication to the new Minecraft Nether update.
If you’d like to try making this project yourself, you can: Wes goes into great detail in his video, and the code for the project can be found on his GitHub account.
And while we have your attention, be sure to subscribe to Geeksmithing on YouTube and show him some love for such a great project.
The post Wes’s wonderful Minecraft user notification display appeared first on Raspberry Pi.
Adrien Castel’s idea of converting an old electronic toy into a retro games machine was no flight of fancy, as David Crookes discovers
The 1980s was a golden era for imaginative electronic toys. Children would pester their parents for a Tomytronic 3D or a Nintendo Game & Watch. And they would enviously eye anyone who had a Tomy Turnin’ Turbo Dashboard with its promise of replicating the thrill of driving (albeit without the traffic jams).
All of the buttons, other than the joystick, are original to the toy – as are the seven red LED lights
Two years ago, maker Matt Brailsford turned that amazing toy into a fully working Out Run arcade machine and Adrien Castel was smitten. “I loved the fact that he’d upcycled an old toy and created something that could be enjoyed as a grown-up,” he says. “But I wanted to push the simulation a bit further and I thought a flying sim could do the trick.”
“I didn’t want to modify the look of the toy”
Ideas began flying around Adrien’s mind. “I knew what I wanted to achieve so I made an overall plan in my head,” he recalls. First he found the perfect toy: a battery-powered Sky Fighter F-16 tabletop game made by Dival. He then decided to base his build around a Raspberry Pi 3A+. “It’s the perfect hardware for projects like this because of its flexibility,” Adrien says.
The toy needed some work. Its original bright red joystick was missing and Adrien knew he’d have to replace the original screen with a TFT LCD. To do this, he 3D-printed a frame to fit the TFT display and he created a smaller base for the replacement joystick. Adrien also changed the microswitches for greater sensitivity but he didn’t go overboard with the changes.
The games can make use of the full screen. Adrien would have liked a larger screen, but the original ratio oddly lay between 4:3 and 16:9, making a bigger display harder to find
“I knew I would have to adapt some parts for the joystick and for the screen, but I didn’t want to modify the look of the toy,” Adrien explains. “To be honest, modifying the toy would have involved some sanding and painting and I was worried that it would ruin the overall effect of the project if it was badly executed.”
A Raspberry Pi 3A+ sits at the heart of the Pi Commander, alongside a mini audio amplifier, and it’s wired up to components within the toy
As such, a challenge was set. “I had to keep most of the original parts such as throttle levers and LEDs and adapt them to the new build,” he says. “This meant getting them to work together with the system and it also meant using the original PCB, getting rid of the components and re-routing the electronics to plug on the GPIOs.”
There were some enhancements. Adrien soldered a PAM8403 3W class-D audio amplifier to Raspberry Pi and this allowed a basic speaker to replace the original for better sound. But there were some compromises too.
The original PCB was used and the electronics were re-routed. All the components need to work between 3.3 to 5V with the lowest possible amperage while fitting into a tight space
“At first I thought the screen could be bigger than the one I used, but the round shape of the cockpit didn’t give much space to fit a screen larger than four inches.” He also believes the project could be improved with a better joystick: “The one I’ve used is a simple two-button arcade stick with a jet fighter look.”
By using the retro gaming OS Recalbox (based on EmulationStation and RetroArch), however, he’s been able to perfect the overall feel. “Recalbox allowed me to create a custom front end that matches the look of a jet fighter,” he explains. It also means the Pi Commander plays shoot-’em-up games alongside open-source simulators like FlightGear (flightgear.org). “It’s a lot of fun.”
Find more fantastic projects, tutorials, and reviews in The MagPi #93, out now! You can get The MagPi #95 online at our store, or in print from all good newsagents and supermarkets. You can also access The MagPi magazine via our Android and iOS apps.
Don’t forget our super subscription offers, which include a free gift of a Raspberry Pi Zero W when you subscribe for twelve months.
And, as with all our Raspberry Pi Press publications, you can download the free PDF from our website.
The post (Raspberry) Pi Commander | The MagPi 95 appeared first on Raspberry Pi.
One aspect of our work as part of the National Centre for Computing Education (NCCE) is producing free materials for teachers about teaching strategies and pedagogy in computing. I am excited to introduce these materials to you here!
Computing was included in the national curriculum in England in 2014, and after this, continued professional development (CPD) initiatives became available to support teachers to feel confident in topics they had not previously studied. Much of the CPD focussed on learning about programming, algorithms, networking, and how computers work.
More recently however, I’ve found that increasing numbers of teachers are asking for support around teaching strategies, particularly for how to support students who find programming and other aspects of computing difficult. Computing is a relatively new subject, but more and more research results are showing how to best teach it.
As part of the NCCE, we produce lots of free resources to support teachers with developing knowledge and skills in all aspects of computing. The NCCE’s Computing Hubs offer remotely delivered sessions, and we produce interactive, in-depth, free online courses for teachers to take over 3 or 4 weeks. Some of these online courses are about subject knowledge, while others focus on how to teach computing, the area referred to as pedagogical content knowledge*. For example, two of our courses are Programming Pedagogy in Primary Schools and Programming Pedagogy in Secondary Schools. Our pedagogy courses draw on the expertise and experience of many computing teachers working with students right now.
But that’s not all! We continually share tried and tested strategies for use in the computing classroom to help teachers, and those training to teach, support students more effectively. We believe that computing is for everyone and as such, we need a variety of possible approaches to teaching each topic up our collective sleeves, to ensure accessibility for all our students.
We develop all of this material in collaboration with in-the-classroom-now, experienced teachers and other experts, also drawing upon the latest computing education research. Our aim is to give you great, practical ideas for how to engage students who may be unmotivated or switched off, and new strategies to help you support students’ understanding of more complex computing concepts.
One of the findings from decades of educational research is that teacher action research in the classroom is an extremely effective form of CPD! Teacher action research means reflecting on what the barriers to learning are in your classroom, planning an intervention (often in the form of a specific change to your teaching practice), and then evaluating whether it engenders improvement. Doing this has positive impacts both on your expertise as a teacher and on your students’ learning!
To support you with action research, we’re launching a special programme for classroom action research in computing. This takes the form of an online course, facilitated by experts in the field, lasting over a six-month period. Find out more about this opportunity.
Right now we’re in unusual times, and surviving various combinations of home learning and remote delivery with your classes may be your greatest concern. However you’re getting on, we’d love to hear from you about your classroom practice in computing. Your experience with different ways of teaching computing in the classroom will add to our collective understanding about what works for teaching students. You can share your feedback with us, or get in touch with our pedagogy team at research@teachcomputing.org.
*Back in 1987, Lee Shulman wrote: “Pedagogical content knowledge represents the blending of content and pedagogy into an understanding of how particular topics, problems or issues are organised, represented, and adapted to the diverse interests and abilities of learners, and presented for instruction.”
The post How we are helping you with computing teaching strategies appeared first on Raspberry Pi.
Des chercheurs d'ESET dissèquent une application Android qui se fait passer pour une application officielle de recherche de contacts COVID-19 et qui chiffre les fichiers de la victime.
L'article Un rançongiciel prétendument pour le traçage de la Covid19 au Canada. ESET offre un déchiffreur a d'abord été publié sur WeLiveSecurity
Qui plus est, beaucoup d'entre eux n'ont pas reçu de nouvelle formation en matière de sécurité ou d'outils de la part de leur employeur pour sécuriser correctement les dispositifs, selon une étude.
L'article Télétravail: La plupart des employés utilisent leur portable personnel a d'abord été publié sur WeLiveSecurity
How do I create a new MySQL user and grant permissions in AWS RDS cloud service from the Linux command line?
The post How to create MySQL user and grant permissions in AWS RDS appeared first on nixCraft.
Wow, DIY-Maxwell, wow. This reddit user got their hands on one of our new Raspberry Pi High Quality Cameras and decided to upgrade their homemade microscope with it. The brains of the thing are also provided by a Raspberry Pi.
Here’s what a penny looks like under this powerful microscope:
Check out this video from the original reddit post to see the microscope in action.
Click image to enlarge
The user has put together very detailed, image-led build instructions walking you through how to create the linear actuators, camera setup, rotary stage, illumination, title mechanism, and electronics.
The project uses a program written in Python 3 (MicroscoPy.py) to control the microscope, modify camera settings, and take photos and videos controlled by keyboard input.
Click image to enlarge
Here is a quick visual to show you the exact ports you need for this project on whatever Raspberry Pi you have:
Click image to enlarge
In the comments of the original reddit post, DIY_Maxwell explains that $10 objective lens used in the project limited the Raspberry Pi High Quality Camera’s performance. They predict you can expect even better images with a heavier investment in the lens.
The project is the result of a team at IBM Research–Europe, in Zurich, who develop microfluidic technologies for medical applications, needing to provide high-quality photos and videos of their microfluidic chips.
In a blog for IEEE Spectrum, IBM team member Yuksel Temiz explains: “Taking a photo of a microfluidic chip is not easy. The chips are typically too big to fit into the field of view of a standard microscope, but they have fine features that cannot be resolved using a regular camera. Uniform illumination is also critical because the chips are often made of highly reflective or transparent materials. Looking at publications from other research groups, it’s obvious that this is a common challenge. With this motivation, I devoted some of my free time to designing a multipurpose and compact lab instrument that can take macro photos from almost any angle.”
Here’s the full story about how the Raspberry Pi-powered creation came to be.
And for some extra-credit homework, you can check out this document comparing the performance of the microscope using our Raspberry Pi Camera Module v2 and the High Quality Camera. The key takeaway for those wishing to upgrade their old projects with the newer camera is to remember that it’s heavier and 50% bigger, so you’ll need to tweak your housing to fit it in.
The post Raspberry Pi High Quality Camera powers up homemade microscope appeared first on Raspberry Pi.
By default, the Nginx version displayed when you query HTTP headers or error generated by the Nginx server. This quick guide explains how to hide or remove the Nginx version on Linux or Unix server without restarting the system.
The post How to hide Nginx version on Linux and Unix appeared first on nixCraft.
Canard PC Hardware 45, le numéro du confinement, est en kiosque. Dans cet opus exceptionnellement plus court que d’habitude (une sombre histoire de pandémie et d’agueusie), nous avons décidé de nous intéresser à plusieurs choses.
Premièrement, les consoles Next Gen. Que peut-on déduire des performances annoncées de la PlayStation 5 et de la Xbox Series X ? Les deux consoles se ressemblent tout en étant différentes, et les informations disponibles permettent de comparer les consoles de la fin de l’année à un PC du milieu de l’année. Nous vous expliquerons pourquoi les nouveautés importantes ne sont pas nécessairement les plus visibles, et nous avons même décidé de vous proposer un petit exercice de style : combien vaudrait un PC équivalent aux consoles ? Au passage, comme Sony a retardé sa conférence de présentation en début de mois, et qu’elle a été en ligne après notre bouclage, nous vous proposons d’imprimer l’image ci-contre et de la coller en page 45, à la place de la photo d’un kit de développement.
Deuxièmement, le cloud gaming. Nous avons décidé de comparer les différentes offres du point de vue des performances et de la partie matérielle, en allant au fond des choses. Shadow, GeForce Now, Stadia, Project xCloud, PlayStation Now, comment fonctionnent les offres de cloud gaming, et que pouvez-vous en attendre ? Nous avons aussi choisi de vous parler du contact tracing, et des choix étonnants de l’application Stopcovid. Les récents chiffres montrent bien que la solution française est un échec, mais nous vous proposons surtout une explication sur le fonctionnement de ce type d’application, pour vous expliquer – spoiler – que ça ne marche pas et que l’intérêt reste extrêmement faible.
Confinement oblige, nous ne pouvons pas vous proposer beaucoup de tests dans ce nméro, mais nous vous présenterons tout de même les GPU Ampere, les Core de 10e génération et les Ryzen 3. Nous avons aussi testé une alimentation qui arrive avec un concept étonnant et pratique, et ackboo vous parlera d’Half-Life Alyx, un jeu parfait pour accompagner le HTC Vive Cosmos Elite testé. Nos rubriques habituelles restent présentes, avec les guides d’achat, un test rétro sur les cartes PhysX, la petite histoire du MP3 par Fanny Rebillard et un dossier sur la radio numérique. Parce que si la télévision numérique a trouvé sa place, la radio, elle, peine à évoluer : nous vous expliquerons pourquoi.
Nous espérons que ce nouveau numéro vous plaira et nous vous invitions à venir en parler sur le forum pour nous donner votre avis et vos impressions.
In issue 32 of HackSpace magazine, out now, we talk to Gina Häußge, creator of OctoPrint – it sits on a Raspberry pi and monitors your 3D printer.
Gina Häußge, creator and maintainer of OctoPrint
There’s something enchanting about watching a 3D printer lay down hot plastic. Seeing an object take shape before your eyes is utterly compelling, which is perhaps why we love watching 3D printing time-lapse videos so much.
Despite this, it would be impractical and inefficient to sit and watch every time you sent a print job through. That’s why we should all be grateful for OctoPrint. This free, open-source software monitors your 3D printer for you, keeping you from wasting plastic and ensuring that you can go about your business without fearing for your latest build.
OctoPrint is the creation of Gina Haüßge. We enjoyed a socially distant chat with her about the challenges of running an open-source project, making, and what it’s like to have a small project become huge.
HackSpace: Most people who have used a 3D printer will have heard of OctoPrint, but for the benefit of those who haven’t, what is it?
Gina Haüßge: Somebody once called it a baby monitor for your 3D printer. I really like this description. It’s pretty much a combination of a baby monitor and a remote control, because it allows you to go through any web browser on your network and monitor what your printer is currently up to, how much the current job has progressed. If you have a webcam set up, it can show you the print itself, so you can see that everything is working correctly, it’s still on the bed, and all that.
It also offers a plug-in interface so that it can be expanded with various features and functionality, and people have written a ton of integrations with notification systems. And all of this runs on pretty much any system that runs Python. I have to say Python, not MicroPython, the full version. Usually Linux, and the most common use case is to run it on a Raspberry Pi, and this is also how I originally set it out to work.
Most people think it only runs on a Raspberry Pi, but no. It will run on any old laptop that you still have lying around. It’s cross-platform, so you don’t need to buy a Raspberry Pi if you have another machine that will fit the bill.
OctoPrint is most commonly run on a Raspberry Pi
HS: How long have you been working on it?
GH: I originally sat down to write it over my Christmas break in 2012, because I had got my first 3D printer back then. It was sitting in my office producing fumes and noise for hours on end, which was annoying when trying to work, or game, or anything else.
I thought there must be a solution involving attaching one of these nifty new Raspberry Pis that had just come out. Someone must have written something, right? I browsed around the internet, realised that the closest thing to what I was looking for treated the printer as a black box – to fire job data at it and hope that it gets it right. That was not what I wanted; I wanted this feedback channel. I wanted to see what was happening; I wanted to monitor the temperatures; I wanted to monitor the job progress.
The very first version back then was a plug-in for Cura, before Cura even supported plug-ins. After my Christmas break, I went, OK, it’s doing everything I wanted it to do; back to work at my normal regular job. And then it exploded. I started getting emails, issue reports, and feature requests from all over the world. ‘Can you make it also do this?’ ‘Hey, I have this other printer with this slightly different firmware that behaves like this; can you adapt it so that it works with this?’. ‘Can you remove it from Cura, and have it so it works standalone?’ Suddenly I had this huge open-source project on my hands. I didn’t do any kind of promotion for it or anything like that. I just posted about it in a Google+ community, of all things, and from there it grew by word of mouth.
A year or so later, I reduced my regular job to 80%, to have one day a week for OctoPrint, but that didn’t suffice either with everything that was going on. Then I had the opportunity to go full-time, sponsored by a single company who also made 3D printers, and they ran out of money in 2016. That was when I turned to crowdfunding, which has been the mode of operation ever since. Around 95% of everything that is done on OctoPrint is run by me, and I work on it full-time now. Since 2014.
A lot of the stuff that I have been adding over the years, for instance, the plug-in system itself, would not have been possible as a pet side project, not with a day job.
HS: What are you working on at the moment?
GH: In March just gone, I released the next big version, to make OctoPrint Python 3-compatible, because at the start of the year Python was deemed end of life, so I had to do something. The problem is that there’s a flourishing plug-in ecosystem written in Python 2, so for now, I’m stuck with having to support both, and trying to motivate the plug-in maintainers to also migrate, which is a ton of fun actually. I wrote a migration guide, tracking in the plug-in repository how many plugs are compatible. Newly registered plug-ins have to be compatible too.
HS: Do you have any idea how many people use OctoPrint?
GH: Nine months, a year ago, I introduced usage tracking. It’s my own bundled plug-in that ships with OctoPrint that does anonymous user tracking through my own platform, so no GDPR issues should arise there. And what this shows me is that, over the course of the last seven days, I saw 66,000 instances, and the last 30 days, I saw 91,000 instances.
But that’s only those who have opted into the usage tracking, which obviously is only a fraction. I have no idea about the fraction – whether the real number is five times, ten times higher, I’ve no way of knowing.
When I did the most recent big update, I got some statistics back from piwheels [a Python package repository]. They saw a spike in repositories that were being pulled from their index, which corresponded to dependencies that the new version of OctoPrint depends on, and the spike that they saw corresponded with the day that I rolled out the new version. Based on that, it looks like there’s probably ten times as many instances out there. I didn’t expect that. So the total number of users could be 700,000, it could be over a million, I have no idea. But based on these piwheels stats, it’s in that ballpark.
HS: And are you seeing a growth in those figures?
GH: Yes. Especially now, with the pandemic going on. If you had asked me three or four months ago, just when the pandemic started, I would have told you more like 60,000 per 30 days. So I saw a significant increase. I also saw a significant usage increase in the last couple of weeks.
I also saw a significant increase in support overheads in the last couple of weeks, which was absolutely insane. It was like everyone and their mother wanted to know something from me, writing me emails, opening tickets and all that, and this influx of people has not stopped yet. At first I thought, well I’ll just go into crunch mode and weather this out, but that didn’t work out. I had to find new ways to cope in order to keep this sustainable.
HS: You can’t have crunch mode for three months!
GH: I mean it’s OK for four weeks or so, but then you start to notice side effects on your own well-being. It’s not a good idea. I’m in for the long haul.
HS: Wanting a feedback channel instead of just firing off commands that work silently makes a lot of sense.
GH: It’s not like a paper printer where you fire and forget, so treating it as a black box, where you don’t get anything back on status and all that, is bound to be trouble. This is a complicated machine where a lot of stuff can go wrong, so it makes sense to have a feedback channel — at least that was my intuition back then, and evidently, a lot of people thought the same.
HS: You must have saved people countless hours and hours of wasted time, filament, and energy.
GH: I’ve also heard that I’ve saved at least one marriage! Someone wrote me an email a couple of years ago thanking me because the person had a new printer in their garage and was constantly monitoring it, sitting in front of it. Apparently the wife and kids were not too thrilled by this. They installed OctoPrint, and since then they’ve been happy again.
Get HackSpace magazine issue 31 — out today
HackSpace magazine issue 32: on sale now!
You can read the rest of HackSpace magazine’s interview with Gina Häußge in issue 32, out today and available online from the Raspberry Pi Press online store. You can also download issue 32 for free.
The post OctoPrint: a baby monitor for your 3D printer appeared first on Raspberry Pi.
Join us for Digital Making at Home: this week, young people get to make sports games in Scratch! With Digital Making at Home, we invite kids all over the world to code along with us and our new videos every week.
So get ready to exercise your digital making skills with us:
Check out this week’s sporty code-along projects!
And tune in on Wednesday 2pm BST / 9am EDT / 7.30pm IST at rpf.io/home to code along with our live stream session.
The post Let’s do virtual sports with Digital Making at Home! appeared first on Raspberry Pi.
Les appareils utilisés dans les secteurs de l'énergie, des transports et des communications sont également touchés par les défauts de la bibliothèque de logiciels TCP/IP.
L'article Bugs de Ripple20: des centaines de millions d’appareils vulnérables a d'abord été publié sur WeLiveSecurity
Les chercheurs d'ESET révèlent le modus operandi de l'insaisissable groupe InvisiMole, y compris les liens récemment découverts avec le groupe Gamaredon.
L'article Déterrer l’arsenal caché d’InvisiMole a d'abord été publié sur WeLiveSecurity
The new Ubuntu Appliance portfolio provides free images to help you turn your Raspberry Pi into an IoT device: just install them to your SD card and you have all the software you need to make a media server, get started with home automation, and more. Canonical’s Rhys Davies is here to tell us all about it.
We are delighted to announce the new Ubuntu Appliance portfolio. Together with NextCloud, AdGuard, Plex, Mosquitto and openHAB, we have created the first in a new class of Ubuntu derivatives. Ubuntu Appliances are software-defined projects that enable users to download everything they need to turn a Raspberry Pi into a device that does one thing – beautifully.
The Ubuntu Appliance mission is to enable you to build your own secure, self-updating, single-purpose devices. Tell us what you want to see next, or let’s talk about turning your project into the next Ubuntu Appliance in Discourse. For now, we are excited to bring these initial appliances to your attention.
Head over to the Ubuntu Appliances website, click the appliance you would like, select download, follow the instructions, and away you go. Once you get to this stage, there are links to tutorials and documentation written by the upstream project themselves, so you can get next steps from the horse’s mouth. If you run into any bother let us know with a new topic and we’ll get on it.
The problem we are trying to solve is to do with the fragmentation in IoT. We want to give publishers and developers a platform to get their software in the hands of their users and into their devices. We work with them to securely bundle the OS, their applications and configurations into a single download that is available for anyone to turn a Raspberry Pi into a dedicated device. You can go to the portfolio and download as many of the appliances as you like and start using them today.
All of this gives a stage and a secure, production-grade base to projects. There are no restrictions on who can make an Ubuntu Appliance; all you need is an application that runs on a Raspberry Pi or another certified board, and to let us know what you’ve got so we can help you over the line. If you need more information, head to our community page where you’ll find the rules and the exact steps to become featured as an Ubuntu Appliance.
All that’s left to say is to try them out. All five of the initial appliances work on Raspberry Pi, so if you have one, you can get started. And if you don’t have one – maybe your Raspberry Pi is still in the post – then you can also ‘try before you Pi’: install the appliance in a virtual machine and see what you think.
The list of appliances is already growing. This launch marks the first five appliances, but we are already working with developers on the next wave and are looking for more. Start with these ones and go to our discourse to tell us what you think.
Thanks for having me, Raspberry Pi <3
The post Build an IoT device with Ubuntu Appliance and Raspberry Pi appeared first on Raspberry Pi.
