We love seeing how quickly our community of makers responds when we drop a new product, and one of the fastest off the starting block when we released the new Raspberry Pi Compute Module 4 on Monday was YouTuber Jeff Geerling.
We made him keep it a secret until launch day after we snuck one to him early so we could see what one of YouTube’s chief advocates for our Compute Module line thought of our newest baby.
So how does our newest board compare to its predecessor, Compute Module 3+? In Jeff’s first video (above) he reviews some of Compute Module 4’s new features, and he has gone into tons more detail in this blog post.
Jeff also took to live stream for a Q&A (above) covering some of the most asked questions about Compute Module 4, and sharing some more features he missed in his initial review video.
His next video (above) is pretty cool. Jeff explains:
“Everyone knows you can overclock the Pi 4. But what happens when you overclock a Compute Module 4? The results surprised me!”
And again, there’s tons more detail on temperature measurement, storage performance, and more on Jeff’s blog.
Top job, Jeff. We have our eyes on your channel for more videos on Compute Module 4, coming soon.
This project goes a step further than most custom-made Raspberry Pi cases: YouTuber Michael Pick hacked a Raspberry Pi 4 and stuffed it inside this Apple lookalike to create the world’s smallest ‘iMac’.
Michael designed and 3D printed this miniature ‘iMac’ with what he calls a “gently modified” Raspberry Pi 4 at the heart. Everything you see is hand-painted and -finished to achieve an authentic, sleek Apple look.
Even after all that power tool sparking, this miniature device is capable of playing Minecraft at 1000 frames per second. Michael was set on making the finished project as thin as possible, so he had to slice off a couple of his Raspberry Pi’s USB ports and the Ethernet socket to make everything fit inside the tiny, custom-made case. This hacked setup leaves you with Bluetooth and wireless internet connections, which, as Michael explains in the build video, “if you’re a Mac user, that’s all you’re ever going to need.”
This teeny yet impactful project has even been featured on forbes.com, and that’s where we learned how the tightly packed tech manages to work in such a restricted space:
“A wireless dongle is plugged into one of the remaining USB ports to ensure it’s capable of connecting to a wireless keyboard and mouse, and a low-profile ribbon cable is used to connect the display to the Raspberry Pi. Careful crimping of cables and adapters ensures the mini iMac can be powered from a USB-C extension cable that feeds in under the screen, while the device also includes a single USB 2 port.”
Barry Collins | forbes.com
The maker also told forbes.com that this build was inspired by an iRaspbian software article from tech writer Barry Collins. iRaspbian puts a Mac-like interface — including Dock, Launcher and even the default macOS wallpaper — on top of a Linux distro. We guess Michael just wanted the case to match the content, hey?
One of our fave makers, Wayne fromDevscover, 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.
Raspberry Pi 3B
Raspberry Pi High Quality Camera
Power supply for the touchscreen and Raspberry Pi
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.
Turn your Christmas tree into a capacitive touch-interactive musical instrument using a Raspberry Pi and a Bare Conductive Pi Cap. You’ll be rocking around the Christmas tree in no time! /* Bare Conductive */ Pi Cap: https://www.bareconductive.com/shop/pi-cap/ Touch Board: https://www.bareconductive.com/shop/touch-board/ Code: https://github.com/BareConductive/picap-touch-mp3-py #RasberryPi #BareConductive #Christmas
Using the Bare Conductive Pi Cap, Davy Wybiral hooked up his fairy lights and baubles to a Raspberry Pi. The result? Musical baubles that allow the user to play their favourite festive classics at the touch of a finger. These baubles are fantastic, and it’s easy to make your own. Just watch the video for Davy’s how-to.
The code for Bare Conductive’s Pi Cap polyphonic touch MP3 utility can be found in this GitHub repo, and you can pick up a Pi Cap on the Bare Conductive website. Then all you need to do is hook up your favourite tree decorations to the Pi Cap via insulated wires, and you’re good to go. It’s OK if your decorations aren’t conductive: you’ll actually be touching the wires and not the ornaments themselves.
And don’t worry about touching the wires, it’s perfectly safe. But just in this instance. Please don’t make a habit of touching wires.
Make sure to subscribe to Davy on YouTube (we did) and give him a like for the baubles video. Also, leave a comment to tell him how great it is, because nice comments are lovely, and we should all be leaving as many of them as we can on the videos for our favourite creators.
This weekend, the Raspberry Pi Foundation hosted Scratch Conference Europe 2019 at Churchill College in Cambridge, UK.
Framing the busy weekend’s schedule were presentations from:
Massachusetts Institute of Technology (MIT) Media Lab’s Mitchel Resnick, co-inventor of Scratch himself
Science presenter Neil Monterio
Raspberry Pi favourite, the fire-loving Fran Scott
Since not everyone was able to travel to Cambridge to attend the conference, we wanted to make sure you’re not missing out, so we filmed their presentations, for you to watch at your leisure.
For the full Scratch Conference experience, we suggest gathering together a group of like-minded people to watch the videos and discuss your thoughts. Alternatively, use #ScratchEurope on Twitter to join in the conversation with the conference attendees online.
Neil Monteiro closes the show on day two of Scratch Conference Europe, hosted by the Raspberry Pi Foundation at Churchill College, Cambridge, UK on 24 August 2019. In this show, Neil takes the audience on a journey into a dangerous labyrinth…in code!
At some point today, we’re going to add a unique hashtag to that live stream, and anyone who uses said hashtag across Instagram and/or Twitter* before midnight tonight (GMT) will be entered into a draw to win a Raspberry Pi Model 3 B+ and an official case, the latter of which will be signed by Eben Upton himself.
So sit back, relax, and enjoy the most pointless, yet wonderful, live stream to ever reach the shores of YouTube!
*For those of you who don’t have a Twitter or Instagram account, you can also comment below with the hashtag when you see it.
Today, ESA Education and the Raspberry Pi Foundation are proud to celebrate the International Day of Women and Girls in Science! In support of this occasion and to encourage young women to enter a career in STEM (science, technology, engineering, mathematics), CSA astronaut Jenni Sidey discusses why she believes computing and digital making skills are so important, and tells us about the role models that inspired her.
Today, ESA Education and the Raspberry Pi Foundation are proud to celebrate the International Day of Women and Girls in Science! In support of this occasion and to encourage young women to enter a career in STEM (science, technology, engineering, mathematics), CSA astronaut Jenni Sidey discusses why she believes computing and digital making skills are so important, and tells us about the role models that inspired her.
Happy International Day of Women and Girls in Science!
The International Day of Women and Girls in Science is part of the United Nations’ plan to achieve their 2030 Agenda for Sustainable Development. According to current UNESCO data, less than 30% of researchers in STEM are female and only 30% of young women are selecting STEM-related subjects in higher education
That’s why part of the UN’s 2030 Agenda is to promote full and equal access to and participation in science for women and girls. And to help young women and girls develop their computing and digital making skills, we want to encourage their participation in the European Astro Pi Challenge!
The European Astro Pi Challenge
The European Astro Pi Challenge is an ESA Education programme run in collaboration with the Raspberry Pi Foundation that offers students and young people the amazing opportunity to conduct scientific investigations in space! The challenge is to write computer programs for one of two Astro Pi units — Raspberry Pi computers on board the International Space Station.
Astro Pi’s Mission Zero is open until 20 March 2019, and this mission gives young people up to 14 years of age the chance to write a simple program to display a message to the astronauts on the ISS. No special equipment or prior coding skills are needed, and all participants that follow the mission rules are guaranteed to have their program run in space!
Take part in Mission Zero — in your language!
To help many more people take part in their native language, we’ve translated the Mission Zero resource, guidelines, and web page into 19 different languages! Head to our languages section to find your version of Mission Zero and take part.
If you have any questions regarding the European Astro Pi Challenge, email us at [email protected].
It’s Monday. It’s morning. It’s England. The members of the Raspberry Pi Comms team begin to filter into Pi Towers, drowsy and semi-conscious. We’re tired from our weekends of debauchery.
One by one, we file into the kitchen. Fingers are clutching the handles of favourite mugs as we line up for the coffee machine. Select, click, wait. Select, click, wait. Double Americanos and Flat Whites pour, steaming hot and promising the glorious punch of caffeine to finally start our week.
Back in the office space, we turn on laptops, sign into Slack, and half-heartedly skim through pending messages while the coffee buzz begins to make its way through our systems, bringing us back to life.
“Ooooh”, comes a voice from the end desk, and heads turn towards Alex, who has opened the subscriptions page of the Raspberry Pi YouTube channel.
“Ooooh?” replies Helen, lifting herself from her chair to peer over the dividing wall between their desks.
Figures gather behind the Social Media Editor as she connects her laptop to her second display and enlarges the video to fullscreen.
It’s Monday. It’s morning. It’s England. And mornings like this are made for Junie Genius.
This week, it gets personal. In the past, I’ve fought robots, and robots have fought me, BUT NOW, together, we’re fighting crime. SUPPORT ME ON PATREON: https://www.patreon.com/JunieGenius HANG W/ ME ONLINE: INSTAGRAM – https://www.instagram.com/juniegenius/ TWITTER – https://twitter.com/Junie_Genius I HAVE TEE SHIRTS: https://teespring.com/stores/junie-genius?page=1 #23942939_ON_TRENDING If you see this, comment if you would join my team of robotic Avengers.
When it comes to finding Raspberry Pi tutorials on the internet, many makers’ first port of call is YouTube. From professional content creators to part-time hobbyists, the video-sharing platform is full of makers documenting their projects for the world to see.
Here are some of Youtube’s finest who use Raspberry Pi at the heart of many of their builds.
Jen’s channel is a collection of educational videos about computer science, explorations into the inner workings of tech, and build videos using Raspberry Pi. We’ve covered her work on the blog a few times, sharing her IoT Pet Monitor and her safety helmet, and we get excited about our subscriber notifications whenever she posts a new video.
What is the Internet and how does it work? Also, what the heck is a server?? Learn about all these awesome things & how you can make your very own with a Raspberry Pi computer! Hooray!
Sean describes himself as someone who likes building, creating, and making, and his channel is brimming with examples of just how ingenious and interesting his makes are. From designing and creating his own PCBs for Kickstarter, to 3D-printing and Raspberry Pi project building, Sean’s channel has plenty to keep makers happy.
This project uses a raspberry pi and face detection using the pi camera to determine when someone is looking at it. Plenty of opportunities to scare people with it. You can make your own! Want to support these projects?
N-O-D-E tears Raspberry Pis to pieces and rebuilds them, turning them into mini servers, dongles, Pi slims, and more. N-O-D-E’s channel an interesting resource for those looking to modify their Pi, and it’s well documented and accessible, thanks to the supporting website.
Estefannie started her video-making journey as a means to reassure herself that she knew what she was talking about. If she could successfully produce a tutorial video about algorithm analysis, this meant she had retained the information to begin with. Smart! From there, her channel has evolved into a kitchen table maker diary, with fun, entertaining tutorials on how to build using Raspberry Pi and Arduino.
I like making robots. So this Halloween I am going to be a robot. Check out the whole story and full tutorial on how to make your own Robo Suit here: https://www.hackster.io/estefanniegg/halloween-build-robosuit-c1a615 I used three Arduinos, one Raspberry Pi, servos, LEDs, and tons of wires to make this costume!
With only a few videos so far, Tucker Shannon’s channel is a promising collection of rather wonderful Raspberry Pi builds. We covered his DIY CNC wood burner on the blog last year, and sat patiently waiting for more. And boy, were we happy with what came next. Check out his Raspberry Pi laser turret, and spend the rest of your day trying to figure out when you can make time to build your own.
Glow in the dark laser pi tutorial PT. 2 https://www.youtube.com/watch?v=rg1HivG02tw STL FILES https://www.thingiverse.com/thing:2965798
OMG, LOL, ROFLCOPTER, animated baby GIF, animated baby JIF — if you like YouTube and Raspberry Pi, we’d be shocked if you haven’t come across Tinkernut yet. With his well-documented projects and live comment aftershows, Tinkernut beautifully bridges the gap between his love of making and the interests of the community devouring his content.
Learn how to take a regular Coke Zero bottle, cram a Raspberry Pi and webcam inside of it, and have it still look like a regular Coke Zero bottle. Why would you want to do this? To spy on those irritating April Fooligans!!!
Blitz City DIY
Looking to build a Raspberry Pi thermal camera? Need a review about Android TV OS for the Pi? Whatever your Raspberry Pi needs, Blitz City DIY will likely have you covered. With a collection of fun digital making builds using various tech; 3D-printing experiments; and reviews aplenty, Blitz City DIY is a gem amongst the maker channels of YouTube.
After reading an article in MagPi about the availability of webOS OSE for Raspberry Pi, I was curious to check it out. I think it definitely has potential and it’s always exciting when a new open source OS is available for the Pi.
We’ve covered a few of engineerish’s projects here on the blog. He’s the king of creating projects you didn’t know you needed until you saw them, such as a Raspberry Pi binary clock, and a maze generator. While engineerish’s channel is fairly new, we’re excited to see where his builds will take him in the future.
In this video I’ll be showing how I built a binary clock using a Raspberry Pi, NeoPixels and a few lines of Python. I also take a stab at explaining how the binary number system works so that we can decipher what said clock is trying to tell us.
Members of the Raspberry Pi Twitter community, you’ll recognise Frederick, who is an active contributor that often answers maker queries and takes part in the general Pi conversation. And on YouTube, his contributions are just as plentiful and rewarding.
▼ Info and links below ▼ For this project, I created a digital picture from which downloads its pictures from a shared Dropbox folder. A simple user interfaces allows the user to navigate the pictures and optionally like them. Upon liking a picture, a notification is sent via the IFTTT service.
Christopher Barnatt’s Explaining Computers channel reminds us a little of the educational videos our science teachers would record for us to play back during exam prep season. His videos are easy-to-follow explanations of various computing topics, well-presented, and with a theme tune that’ll be stuck in your head for days!
Overclocking a Raspberry Pi 3 B+ using a Noctua cooling fan to stop it throttling. Here I show how to overclock a Pi 3B+, and steadily take the CPU speed as high as it can go . . . but how far is that?!
Not to be confused with this, a shameless pug:
The MagPi magazine
Is this cheating? Never mind. The MagPi magazine’s YouTube channel is full of reviews of the latest third-party add-ons for your Pi. 99% hosted by Rob (the guy who accosts our blog once a month to talk about the magazine), the MagPi’s channel is a must subscription for any Raspberry Pi enthusiast.
The DiddyBorg v2 is the latest robot from the excellent PiBorg, complete with ThunderBorg motor controller. Is it as good as it looks? Get one here: http://magpi.cc/diddyborg Subscribe today to twelve months print subscription to never miss an issue and get a Raspberry Pi Zero W with accessories.
Raspberry Pi Foundation
OK, this IS cheating, but it’s our blog post so we say it’s OK. The Raspberry Pi Foundation’s YouTube channel collects introduction videos for our free resources, live talks from events, portraits of your projects, and that one time our Director of Software Engineering decided to ride a Pi-powered motorised skateboard. Oh, and product releases like this…
Виенският търговски съд постановява, че YouTube не е интернет посредник, а носи отговорност за транспортираното съдържание. От това следва, че сайтът трябва предварително да проверява съдържанието.
Компанията YouTube вижда себе си като посредник, който не носи отговорност за съдържанието. И така би желала да я виждат другите. И това е стандартната защита.
Австрийска телевизия Puls 4 предприема действия срещу съдържание в YouTube без уредени права. “Възразяваме срещу YouTube, което прави възможно качването на съдържание, произведено от нас, без да ни пита и без да плаща възнаграждение”, казват от телевизията.
Researchers havedemonstrated the ability to send inaudible commands to voice assistants like Alexa, Siri, and Google Assistant.
Over the last two years, researchers in China and the United States have begun demonstrating that they can send hidden commands that are undetectable to the human ear to Apple’s Siri, Amazon’s Alexa and Google’s Assistant. Inside university labs, the researchers have been able to secretly activate the artificial intelligence systems on smartphones and smart speakers, making them dial phone numbers or open websites. In the wrong hands, the technology could be used to unlock doors, wire money or buy stuff online – simply with music playing over the radio.
A group of students from University of California, Berkeley, and Georgetown University showed in 2016 that they could hide commands in white noise played over loudspeakers and through YouTube videos to get smart devices to turn on airplane mode or open a website.
This month, some of those Berkeley researchers published a research paper that went further, saying they could embed commands directly into recordings of music or spoken text. So while a human listener hears someone talking or an orchestra playing, Amazon’s Echo speaker might hear an instruction to add something to your shopping list.
Информация от Австрия за начина, по който обществената телевизия е под надзора на местния регулатор за изпълнение на обществената мисия.
Регулаторът не е одобрил две предложения на ORF – за собствен канал в YouTube и за нова услуга – предавания/филми от програмите на ORF срещу абонамент.
Видимо в Австрия регулаторът има роля ex ante в по-широк обхват – което е в защита на аудиторията. БНТ е в YouYube – или поне в интернет се вижда “Официален канал на БНТ” в YouTube. Но това не е единствената илюстрация за ограничената роля на българския регулатор – не е ясно например какво става с политематичната БНТ2, нито може да се прочете мониторингов доклад как БНТ изпълнява лицензиите си.
ORF кандидатства за разрешение да добави канал в YouTube към своите медийни дейности. Този канал трябваше да предложи главно предавания на ORF, които поради правни ограничения понастоящем не могат да бъдат предоставени за повече от 7 дни чрез catch-up услугата ORF TVthek.
KommAustria твърди, че изключителното сътрудничество между ORF и YouTube би дискриминирало други, сравними компании.
Регулаторът също така взема предвид съществуващите услуги, когато одобрява нови услуги на ORF. KommAustria предполага намаляване на интереса към ORF TVthek, ако се създаде канал на ORF в YouTube. Освен това регулаторът твърди, че е възможно да се удължи общият период за предоставяне на програми на ORF TVthek (повече от 7 дни) чрез преразглеждане на правната рамка.
Според KommAustria по принцип не е забранено на ORF да предлага абонаментна услуга. В конкретния случай обаче нито икономически, нито правно искането не е обосновано, напр. остава “напълно неясно” колко голям ще бъде делът от таксата за тази услуга – доколкото разбирам, не е изяснена пропорцията между абонамент и обществено финансиране.
Yesterday, I received an email from someone called Mayank Sinha, showing us the Raspberry Pi home security project he’s been working on. He got in touch particularly because, he writes, the Raspberry Pi community has given him “immense support” with his build, and he wanted to dedicate it to the commmunity as thanks.
Mayank’s project is named Asfaleia, a Greek word that means safety, certainty, or security against threats. It’s part of an honourable tradition dating all the way back to 2012: it’s a prototype housed in a polystyrene box, using breadboards and jumper leads and sticky tape. And it’s working! Take a look.
All the best prototypes have sticky tape or rubber bands
If the IR sensors detect motion or a broken beam, the webcam takes a photo and emails it to the build’s owner, and the build also calls their phone (I like your ringtone, Mayank). If the gas sensor detects a leak, the system activates an exhaust fan via a small relay board, and again the owner receives a phone call. The build can also authenticate users via face and fingerprint recognition. The software that runs it all is written in Python, and you can see Mayank’s code on GitHub.
Of prototypes and works-in-progess
Reading Mayank’s email made me very happy yesterday. We know that thousands of people in our community give a great deal of time and effort to help others learn and make things, and it is always wonderful to see an example of how that support is helping someone turn their ideas into reality. It’s great, too, to see people sharing works-in-progress, as well as polished projects! After all, the average build is more likely to feature rubber bands and Tupperware boxes than meticulously designed laser-cut parts or expert joinery. Mayank’s YouTube channel shows earlier work on this and another Pi project, and I hope he’ll continue to document his builds.
So here’s to Raspberry Pi projects big, small, beginner, professional, endlessly prototyped, unashamedly bodged, unfinished or fully working, shonky or shiny. Please keep sharing them all!
This video demos a real-like Pokedex, complete with visual recognition, that I created using a Raspberry Pi, Python, and Deep Learning. You can find the entire blog post, including code, using this link: https://www.pyimagesearch.com/2018/04/30/a-fun-hands-on-deep-learning-project-for-beginners-students-and-hobbyists/ Music credit to YouTube user “No Copyright” for providing royalty free music: https://www.youtube.com/watch?v=PXpjqURczn8
The history of Pokémon in 30 seconds
The Pokémon franchise was created by video game designer Satoshi Tajiri in 1995. In the fictional world of Pokémon, Pokémon Trainers explore the vast landscape, catching and training small creatures called Pokémon. To date, there are 802 different types of Pokémon. They range from the ever recognisable Pikachu, a bright yellow electric Pokémon, to the highly sought-after Shiny Charizard, a metallic, playing-card-shaped Pokémon that your mate Alex claims she has in mint condition, but refuses to show you.
In the world of Pokémon, children as young as ten-year-old protagonist and all-round annoyance Ash Ketchum are allowed to leave home and wander the wilderness. There, they hunt vicious, deadly creatures in the hope of becoming a Pokémon Master.
Adrian’s deep learning Pokédex
Adrian is a bit of a deep learning pro, as demonstrated by his Santa/Not Santa detector, which we wrote about last year. For that project, he also provided a great explanation of what deep learning actually is. In a nutshell:
…a subfield of machine learning, which is, in turn, a subfield of artificial intelligence (AI).While AI embodies a large, diverse set of techniques and algorithms related to automatic reasoning (inference, planning, heuristics, etc), the machine learning subfields are specifically interested in pattern recognition and learning from data.
As with his earlier Raspberry Pi project, Adrian uses the Keras deep learning model and the TensorFlow backend, plus a few other packages such as Adrian’s own imutils functions and OpenCV.
Adrian trained a Convolutional Neural Network using Keras on a dataset of 1191 Pokémon images, obtaining 96.84% accuracy. As Adrian explains, this model is able to identify Pokémon via still image and video. It’s perfect for creating a Pokédex – an interactive Pokémon catalogue that should, according to the franchise, be able to identify and read out information on any known Pokémon when captured by camera. More information on model training can be found on Adrian’s blog.
For the physical build, a Raspberry Pi 3 with camera module is paired with the Raspberry Pi 7″ touch display to create a portable Pokédex. And while Adrian comments that the same result can be achieved using your home computer and a webcam, that’s not how Adrian rolls as a Raspberry Pi fan.
Plus, the smaller size of the Pi is perfect for one of you to incorporate this deep learning model into a 3D-printed Pokédex for ultimate Pokémon glory, pretty please, thank you.
Adrian has gone into impressive detail about how the project works and how you can create your own on his blog, pyimagesearch. So if you’re interested in learning more about deep learning, and making your own Pokédex, be sure to visit.
If you’re not already familiar with building visualizations for quick access to business insights using Amazon QuickSight, consider this your introduction. In this post, we’ll walk through some common scenarios with sample datasets to provide an overview of how you can connect yuor data, perform advanced analysis and access the results from any web browser or mobile device.
The following visualizations are built from the public datasets available in the links below. Before we jump into that, let’s take a look at the supported data sources, file formats and a typical QuickSight workflow to build any visualization.
Which data sources does Amazon QuickSight support?
At the time of publication, you can use the following data methods:
Connect to AWS data sources, including:
Upload Excel spreadsheets or flat files (CSV, TSV, CLF, and ELF)
Connect to on-premises databases like Teradata, SQL Server, MySQL, and PostgreSQL
Import data from SaaS applications like Salesforce and Snowflake
Use big data processing engines like Spark and Presto
SPICE is the Amazon QuickSight super-fast, parallel, in-memory calculation engine, designed specifically for ad hoc data visualization. SPICE stores your data in a system architected for high availability, where it is saved until you choose to delete it. Improve the performance of database datasets by importing the data into SPICE instead of using a direct database query. To calculate how much SPICE capacity your dataset needs, see Managing SPICE Capacity.
Typical Amazon QuickSight workflow
When you create an analysis, the typical workflow is as follows:
Connect to a data source, and then create a new dataset or choose an existing dataset.
(Optional) If you created a new dataset, prepare the data (for example, by changing field names or data types).
Create a new analysis.
Add a visual to the analysis by choosing the fields to visualize. Choose a specific visual type, or use AutoGraph and let Amazon QuickSight choose the most appropriate visual type, based on the number and data types of the fields that you select.
(Optional) Modify the visual to meet your requirements (for example, by adding a filter or changing the visual type).
(Optional) Add more visuals to the analysis.
(Optional) Add scenes to the default story to provide a narrative about some aspect of the analysis data.
(Optional) Publish the analysis as a dashboard to share insights with other users.
The following graphic illustrates a typical Amazon QuickSight workflow.
Visualizations created in Amazon QuickSight with sample datasets
Data catalog: The DBG PDS project makes real-time data derived from Deutsche Börse’s trading market systems available to the public for free. This is the first time that such detailed financial market data has been shared freely and continually from the source provider.
The following graph shows the market trend of max trade volume for different EU banks. It builds on the data available on XETRA engines, which is made up of a variety of equities, funds, and derivative securities. This graph can be scrolled to visualize trade for a period of an hour or more.
The following graph shows the common stock beating the rest of the maximum trade volume over a period of time, grouped by security type.
Data catalog: Data derived from different sensor stations placed on the city bridges and surface streets are a core information source. The road weather information station has a temperature sensor that measures the temperature of the street surface. It also has a sensor that measures the ambient air temperature at the station each second.
The following graph shows the present max air temperature in Seattle from different RWI station sensors.
The following graph shows the minimum temperature of the road surface at different times, which helps predicts road conditions at a particular time of the year.
Data catalog: Kaggle has come up with a platform where people can donate open datasets. Data engineers and other community members can have open access to these datasets and can contribute to the open data movement. They have more than 350 datasets in total, with more than 200 as featured datasets. It has a few interesting datasets on the platform that are not present at other places, and it’s a platform to connect with other data enthusiasts.
The following graph shows the trending YouTube videos and presents the max likes for the top 20 channels. This is one of the most popular datasets for data engineers.
The following graph shows the YouTube daily statistics for the max views of video titles published during a specific time period.
Data catalog: NYC Open data hosts some very popular open data sets for all New Yorkers. This platform allows you to get involved in dive deep into the data set to pull some useful visualizations. 2016 Green taxi trip dataset includes trip records from all trips completed in green taxis in NYC in 2016. Records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts.
The following graph presents maximum fare amount grouped by the passenger count during a period of time during a day. This can be further expanded to follow through different day of the month based on the business need.
The following graph shows the NewYork taxi data from January 2016, showing the dip in the number of taxis ridden on January 23, 2016 across all types of taxis.
A quick search for that date and location shows you the following news report:
Using Amazon QuickSight, you can see patterns across a time-series data by building visualizations, performing ad hoc analysis, and quickly generating insights. We hope you’ll give it a try today!
Karthik Odapally is a Sr. Solutions Architect in AWS. His passion is to build cost effective and highly scalable solutions on the cloud. In his spare time, he bakes cookies and cupcakes for family and friends here in the PNW. He loves vintage racing cars.
Pranabesh Mandal is a Solutions Architect in AWS. He has over a decade of IT experience. He is passionate about cloud technology and focuses on Analytics. In his spare time, he likes to hike and explore the beautiful nature and wild life of most divine national parks around the United States alongside his wife.
Some gaming consoles make it easy to stream to Twitch, some gaming consoles don’t (come on, Nintendo). So for those that don’t, I’ve made this beta version of the “Twitch-O-Matic”. No it doesn’t chop onions or fold your laundry, but what it DOES do is stream anything with HDMI output to your Twitch channel with the simple push of a button!
eSports and online game streaming
Interest in eSports has skyrocketed over the last few years, with viewership numbers in the hundreds of millions, sponsorship deals increasing in value and prestige, and tournament prize funds reaching millions of dollars. So it’s no wonder that more and more gamers are starting to stream live to online platforms in order to boost their fanbase and try to cash in on this growing industry.
Streaming to Twitch
Launched in 2011, Twitch.tv is an online live-streaming platform with a primary focus on video gaming. Users can create accounts to contribute their comments and content to the site, as well as watching live-streamed gaming competitions and broadcasts. With a staggering fifteen million daily users, Twitch is accessible via smartphone and gaming console apps, smart TVs, computers, and tablets. But if you want to stream to Twitch, you may find yourself using third-party software in order to do so. And with more buttons to click and more wires to plug in for older, app-less consoles, streaming can get confusing.
Side note: we Tinkernut
We’ve featured Tinkernut a few times on the Raspberry Pi blog – his tutorials are clear, his projects are interesting and useful, and his live-streamed comment videos for every build are a nice touch to sharing homebrew builds on the internet.
So, yes, we love him. [This is true. Alex never shuts up about him. – Ed.] And since he has over 500K subscribers on YouTube, we’re obviously not the only ones. We wave our Tinkernut flags with pride.
The Raspberry Pi Zero W is connected to the HDMI to CSI adapter via the camera connector, in the same way you’d attach the camera ribbon. Tinkernut uses a standard Raspbian image on an 8GB SD card, with SSH enabled for remote access from his laptop. He uses the simple command Raspivid to test the HDMI connection by recording ten seconds of video footage from his console.
One lead is all you need
Once you have the Pi receiving video from your console, you can connect to Twitch using your Twitch stream key, which you can find by logging in to your account at Twitch.tv. Tinkernut’s tutorial gives you all the commands you need to stream from your Pi.
To up the aesthetic impact of your project, adding buttons and backlights is fairly straightforward.
Pretty LED frills
To run the stream command, Tinketnut uses a button: press once to start the stream, press again to stop. Pressing the button also turns on the LED backlight, so it’s obvious when streaming is in progress.
For the full code and 3D-printable case STL file, head to Tinketnut’s hackster.io project page. And if you’re already using a Raspberry Pi for Twitch streaming, share your build setup with us. Cheers!
Last week, we shared the first half of our Q&A with Raspberry Pi Trading CEO and Raspberry Pi creator Eben Upton. Today we follow up with all your other questions, including your expectations for a Raspberry Pi 4, Eben’s dream add-ons, and whether we really could go smaller than the Zero.
Get your questions to us now using #AskRaspberryPi on Twitter
With internet security becoming more necessary, will there be automated versions of VPN on an SD card?
There are already third-party tools which turn your Raspberry Pi into a VPN endpoint. Would we do it ourselves? Like the power button, it’s one of those cases where there are a million things we could do and so it’s more efficient to let the community get on with it.
Just to give a counterexample, while we don’t generally invest in optimising for particular use cases, we did invest a bunch of money into optimising Kodi to run well on Raspberry Pi, because we found that very large numbers of people were using it. So, if we find that we get half a million people a year using a Raspberry Pi as a VPN endpoint, then we’ll probably invest money into optimising it and feature it on the website as we’ve done with Kodi. But I don’t think we’re there today.
Have you ever seen any Pis running and doing important jobs in the wild, and if so, how does it feel?
It’s amazing how often you see them driving displays, for example in radio and TV studios. Of course, it feels great. There’s something wonderful about the geographic spread as well. The Raspberry Pi desktop is quite distinctive, both in its previous incarnation with the grey background and logo, and the current one where we have Greg Annandale’s road picture.
And so it’s funny when you see it in places. Somebody sent me a video of them teaching in a classroom in rural Pakistan and in the background was Greg’s picture.
Raspberry Pi 4!?!
There will be a Raspberry Pi 4, obviously. We get asked about it a lot. I’m sticking to the guidance that I gave people that they shouldn’t expect to see a Raspberry Pi 4 this year. To some extent, the opportunity to do the 3B+ was a surprise: we were surprised that we’ve been able to get 200MHz more clock speed, triple the wireless and wired throughput, and better thermals, and still stick to the $35 price point.
We’re up against the wall from a silicon perspective; we’re at the end of what you can do with the 40nm process. It’s not that you couldn’t clock the processor faster, or put a larger processor which can execute more instructions per clock in there, it’s simply about the energy consumption and the fact that you can’t dissipate the heat. So we’ve got to go to a smaller process node and that’s an order of magnitude more challenging from an engineering perspective. There’s more effort, more risk, more cost, and all of those things are challenging.
With 3B+ out of the way, we’re going to start looking at this now. For the first six months or so we’re going to be figuring out exactly what people want from a Raspberry Pi 4. We’re listening to people’s comments about what they’d like to see in a new Raspberry Pi, and I’m hoping by early autumn we should have an idea of what we want to put in it and a strategy for how we might achieve that.
Could you go smaller than the Zero?
The challenge with Zero as that we’re periphery-limited. If you run your hand around the unit, there is no edge of that board that doesn’t have something there. So the question is: “If you want to go smaller than Zero, what feature are you willing to throw out?”
It’s a single-sided board, so you could certainly halve the PCB area if you fold the circuitry and use both sides, though you’d have to lose something. You could give up some GPIO and go back to 26 pins like the first Raspberry Pi. You could give up the camera connector, you could go to micro HDMI from mini HDMI. You could remove the SD card and just do USB boot. I’m inventing a product live on air! But really, you could get down to two thirds and lose a bunch of GPIO – it’s hard to imagine you could get to half the size.
What’s the one feature that you wish you could outfit on the Raspberry Pi that isn’t cost effective at this time? Your dream feature.
Well, more memory. There are obviously technical reasons why we don’t have more memory on there, but there are also market reasons. People ask “why doesn’t the Raspberry Pi have more memory?”, and my response is typically “go and Google ‘DRAM price’”. We’re used to the price of memory going down. And currently, we’re going through a phase where this has turned around and memory is getting more expensive again.
Machine learning would be interesting. There are machine learning accelerators which would be interesting to put on a piece of hardware. But again, they are not going to be used by everyone, so according to our method of pricing what we might add to a board, machine learning gets treated like a $50 chip. But that would be lovely to do.
Which citizen science projects using the Pi have most caught your attention?
I like the wildlife camera projects. We live out in the countryside in a little village, and we’re conscious of being surrounded by nature but we don’t see a lot of it on a day-to-day basis. So I like the nature cam projects, though, to my everlasting shame, I haven’t set one up yet. There’s a range of them, from very professional products to people taking a Raspberry Pi and a camera and putting them in a plastic box. So those are good fun.
How does it feel to go to bed every day knowing you’ve changed the world for the better in such a massive way?
What feels really good is that when we started this in 2006 nobody else was talking about it, but now we’re part of a very broad movement.
We were in a really bad way: we’d seen a collapse in the number of applicants applying to study Computer Science at Cambridge and elsewhere. In our view, this reflected a move away from seeing technology as ‘a thing you do’ to seeing it as a ‘thing that you have done to you’. It is problematic from the point of view of the economy, industry, and academia, but most importantly it damages the life prospects of individual children, particularly those from disadvantaged backgrounds. The great thing about STEM subjects is that you can’t fake being good at them. There are a lot of industries where your Dad can get you a job based on who he knows and then you can kind of muddle along. But if your dad gets you a job building bridges and you suck at it, after the first or second bridge falls down, then you probably aren’t going to be building bridges anymore. So access to STEM education can be a great driver of social mobility.
By the time we were launching the Raspberry Pi in 2012, there was this wonderful movement going on. Code Club, for example, and CoderDojo came along. Lots of different ways of trying to solve the same problem. What feels really, really good is that we’ve been able to do this as part of an enormous community. And some parts of that community became part of the Raspberry Pi Foundation – we merged with Code Club, we merged with CoderDojo, and we continue to work alongside a lot of these other organisations. So in the two seconds it takes me to fall asleep after my face hits the pillow, that’s what I think about.
We’re currently advertising a Programme Manager role in New Delhi, India. Did you ever think that Raspberry Pi would be advertising a role like this when you were bringing together the Foundation?
No, I didn’t.
But if you told me we were going to be hiring somewhere, India probably would have been top of my list because there’s a massive IT industry in India. When we think about our interaction with emerging markets, India, in a lot of ways, is the poster child for how we would like it to work. There have already been some wonderful deployments of Raspberry Pi, for example in Kerala, without our direct involvement. And we think we’ve got something that’s useful for the Indian market. We have a product, we have clubs, we have teacher training. And we have a body of experience in how to teach people, so we have a physical commercial product as well as a charitable offering that we think are a good fit.
It’s going to be massive.
What is your favourite BBC type-in listing?
There was a game called Codename: Druid. There is a famous game called Codename: Droid which was the sequel to Stryker’s Run, which was an awesome, awesome game. And there was a type-in game called Codename: Druid, which was at the bottom end of what you would consider a commercial game.
And I remember typing that in. And what was really cool about it was that the next month, the guy who wrote it did another article that talks about the memory map and which operating system functions used which bits of memory. So if you weren’t going to do disc access, which bits of memory could you trample on and know the operating system would survive.
I still like type-in listings. The Raspberry Pi 2018 Annual has a type-in listing that I wrote for a Babbage versus Bugs game. I will say that’s not the last type-in listing you will see from me in the next twelve months. And if you download the PDF, you could probably copy and paste it into your favourite text editor to save yourself some time.
HackSpace magazine is back with our brand-new issue 6, available for you on shop shelves, in your inbox, and on our website right now.
Inside Hackspace magazine 6
Paper is probably the first thing you ever used for making, and for good reason: in no other medium can you iterate through 20 designs at the cost of only a few pennies. We’ve roped in Rob Ives to show us how to make a barking paper dog with moveable parts and a cam mechanism. Even better, the magazine includes this free paper automaton for you to make yourself. That’s right: free!
At the other end of the scale, there’s the forge, where heat, light, and noise combine to create immutable steel. We speak to Alec Steele, YouTuber, blacksmith, and philosopher, about his amazingly beautiful Damascus steel creations, and about why there’s no difference between grinding a knife and blowing holes in a mountain to build a road through it.
Do it yourself
You’ve heard of reading glasses — how about glasses that read for you? Using a camera, optical character recognition software, and a text-to-speech engine (and of course a Raspberry Pi to hold it all together), reader Andrew Lewis has hacked together his own system to help deal with age-related macular degeneration.
It’s the definition of hacking: here’s a problem, there’s no solution in the shops, so you go and build it yourself!
60 years ago, the cutting edge of home hacking was the transistor radio. Before the internet was dreamt of, the transistor radio made the world smaller and brought people together. Nowadays, the components you need to build a radio are cheap and easily available, so if you’re in any way electronically inclined, building a radio is an ideal excuse to dust off your soldering iron.
If you’re a 12-month subscriber (if you’re not, you really should be), you’ve no doubt been thinking of all sorts of things to do with the Adafruit Circuit Playground Express we gave you for free. How about a sewable circuit for a canvas bag? Use the accelerometer to detect patterns of movement — walking, for example — and flash a series of lights in response. It’s clever, fun, and an easy way to add some programmable fun to your shopping trips.
We’re also making gin, hacking a children’s toy car to unlock more features, and getting started with robot sumo to fill the void left by the cancellation of Robot Wars.
All this, plus an 11-metre tall mechanical miner, in HackSpace magazine issue 6 — subscribe here from just £4 an issue or get the PDF version for free. You can also find HackSpace magazine in WHSmith, Tesco, Sainsbury’s, and independent newsagents in the UK. If you live in the US, check out your local Barnes & Noble, Fry’s, or Micro Center next week. We’re also shipping to stores in Australia, Hong Kong, Canada, Singapore, Belgium, and Brazil, so be sure to ask your local newsagent whether they’ll be getting HackSpace magazine.
Learn more: http://rpf.io/ Subscribe to our YouTube channel: http://rpf.io/ytsub Help us reach a wider audience by translating our video content: http://rpf.io/yttranslate Buy a Raspberry Pi from one of our Approved Resellers: http://rpf.io/ytproducts Find out more about the Raspberry Pi Foundation: Raspberry Pi http://rpf.io/ytrpi Code Club UK http://rpf.io/ytccuk Code Club International http://rpf.io/ytcci CoderDojo http://rpf.io/ytcd Check out our free online training courses: http://rpf.io/ytfl Find your local Raspberry Jam event: http://rpf.io/ytjam Work through our free online projects: http://rpf.io/ytprojects Do you have a question about your Raspberry Pi?
Fantastic collections and where to find them
Large, impressive statues are truly a sight to be seen. Take for example the 2.4m Hoa Hakananai’a at the British Museum. Its tall stature looms over you as you read its plaque to learn of the statue’s journey from Easter Island to the UK under the care of Captain Cook in 1774, and you can’t help but wonder at how it made it here in one piece.
But unless you live near a big city where museums are plentiful, you’re unlikely to see the likes of Hoa Hakananai’a in person. Instead, you have to content yourself with online photos or videos of world-famous artefacts.
And that only accounts for the objects that are on display: conservators estimate that only approximately 5 to 10% of museums’ overall collections are actually on show across the globe. The rest is boxed up in storage, inaccessible to the public due to risk of damage, or simply due to lack of space.
Museum in a Box
Museum in a Box aims to “put museum collections and expert knowledge into your hand, wherever you are in the world,” through modern maker practices such as 3D printing and digital making. With the help of the ‘Scan the World’ movement, an “ambitious initiative whose mission is to archive objects of cultural significance using 3D scanning technologies”, the Museum in a Box team has been able to print small, handheld replicas of some of the world’s most recognisable statues and sculptures.
Each 3D print gets NFC tags so it can initiate audio playback from a Raspberry Pi that sits snugly within the laser-cut housing of a ‘brain box’. Thus the print can talk directly to us through the magic of wireless technology, replacing the dense, dry text of a museum plaque with engaging speech.
The Museum in a Box team headed by CEO George Oates (featured in the video above) makes use of these 3D-printed figures alongside original artefacts, postcards, and more to bridge the gap between large, crowded, distant museums and local schools. Modeled after the museum handling collections that used to be sent to schools, Museum in a Box is a cheaper, more accessible alternative. Moreover, it not only allows for hands-on learning, but also encourages children to get directly involved by hacking its technology! With NFC technology readily available to the public, students can curate their own collections about their local area, record their own messages, and send their own box-sized museums on to schools in other towns or countries. In this way, Museum in a Box enables students to explore, and expand the reach of, their own histories.
With the technology perfected and interest in the project ever-growing, Museum in a Box has a busy year ahead. Supporting the new ‘Unstacked’ learning initiative, the team will soon be delivering ten boxes to the Smithsonian Libraries. The team has curated two collections specifically for this: an exploration into Asia-Pacific America experiences of migration to the USA throughout the 20th century, and a look into the history of science.
The team will also be making a box for the British Museum to support their Iraq Scheme initiative, and another box will be heading to the V&A to support their See Red programme. While primarily installed in the Lansbury Micro Museum, the box will also take to the road to visit the local Spotlight high school.
Museum in a Box at Raspberry Fields
Lastly, by far the most exciting thing the Museum in a Box team will be doing this year — in our opinion at least — is showcasing at Raspberry Fields! This is our brand-new festival of digital making that’s taking place on 30 June and 1 July 2018 here in Cambridge, UK. Find more information about it and get your ticket here.
Check out my latest Hacker in Residence project for SparkFun Electronics: the Helmet Guardian! It’s a Pi Zero powered impact force monitor that turns on an LED if your head/body experiences a potentially dangerous impact. Install in your sports helmets, bicycle, or car to keep track of impact and inform you when it’s time to visit the doctor.
We’ve all knocked our heads at least once in our lives, maybe due to tripping over a loose paving slab, or to falling off a bike, or to walking into the corner of the overhead cupboard door for the third time this week — will I ever learn?! More often than not, even when we’re seeing stars, we brush off the accident and continue with our day, oblivious to the long-term damage we may be doing.
Force of impact
After some thorough research, Jennifer Fox, founder of FoxBot Industries, concluded that forces of 4 to 6 G sustained for more than a few seconds are dangerous to the human body. With this in mind, she decided to use a Raspberry Pi Zero W and an accelerometer to create helmet with an impact force monitor that notifies its wearer if this level of G-force has been met.
Obviously, if you do have a serious fall, you should always seek medical advice. This project is an example of how affordable technology can be used to create medical and citizen science builds, and not a replacement for professional medical services.
Setting up the impact monitor
Jennifer’s monitor requires only a few pieces of tech: a Zero W, an accelerometer and breakout board, a rechargeable USB battery, and an LED, plus the standard wires and resistors for these components.
After installing Raspbian, Jennifer enabled SSH and I2C on the Zero W to make it run headlessly, and then accessed it from a laptop. This allows her to control the Pi without physically connecting to it, and it makes for a wireless finished project.
Jen wired the Pi to the accelerometer breakout board and LED as shown in the schematic below.
The LED acts as a signal of significant impacts, turning on when the G-force threshold is reached, and not turning off again until the program is reset.
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