Official support is abysmal, very focused on MicroPython and their graphical UI.
The setup impossible to achieve as it requires setting up the Yotta, just like the impossible to setup Compile MicroPython code for Micro Bit locally on Ubuntu 22.04 with your own firmware setup.
So we just use github.com/lancaster-university/microbit-samples + github.com/carlosperate/docker-microbit-toolchain:.hex file size for the hello world was 447 kB, much better than the MicroPython hello world downloaded from the website which was about 1.8 MB!
docker pull ghcr.io/carlosperate/microbit-toolchain:latest
git clone https://github.com/lancaster-university/microbit-samples
cd microbit-samples
git checkout 285f9acfb54fce2381339164b6fe5c1a7ebd39d5
# Select a sample, builds one at a time. The default one is the hello world.
cp source/examples/hello-world/* source
# Build and flash.
docker run -v $(pwd):/home --rm ghcr.io/carlosperate/microbit-toolchain:latest yotta build
cp build/bbc-microbit-classic-gcc/source/microbit-samples-combined.hex "/media/$USER/MICROBIT/"
If you try it again for a second time from a clean tree, it fails with:presumably because after Yotta died it started using GitHub as a registry... sad. When will people learn. Apparently we were at 5000 API calls per hour. But if you don't clean the tree, you will be just fine.
warning: github rate limit for anonymous requests exceeded: you must log in
These often come pre-soldered on devboards, e.g. and allow for easy access to GPIO pins. E.g. they're present on the Raspberry Pi 2.
Why would someone ever sell a devboard without them pre-soldered!
Underside of a Raspberry Pi 2
. Source. At the top of this image we can clearly see how the usually pre-soldered pin header connectors go through the PCB and are soldered on both sides.- microbit/micropython/uart.py: the Micro BIt comes with a UART simulator via the USB connection, it is very convenient: support.microbit.org/support/solutions/articles/19000022103-outputing-serial-data-from-the-micro-bit-to-a-computer To output data to the computer simply use Python
print
. To receive you can e.g. use GNU screen:It appears to be very unreliable however, some times it shows up, sometimes it doesn't.screen /dev/ttyACM0 115200
Many devborads require a 5V power supply.
For battery power you need a transformer.
Open source analog-to-digital converter by
Ciro Santilli 35 Updated 2025-04-16 +Created 1970-01-01
Open Source 8.5 Digit Voltmeter from CERN by Marco Reps (2021)
Source. As of 2019, the silicon industry is ending, and molecular biology technology is one of the most promising and growing field of engineering.
42 years of microprocessor trend data by Karl Rupp
. Source. Only transistor count increases, which also pushes core counts up. But what you gonna do when atomic limits are reached? The separation between two silicon atoms is 0.23nm and 2019 technology is at 5nm scale.Such advances could one day lead to both biological super-AGI and immortality.
Ciro Santilli is especially excited about DNA-related technologies, because DNA is the centerpiece of biology, and it is programmable.
First, during the 2000's, the cost of DNA sequencing fell to about 1000 USD per genome in the end of the 2010's: Figure 2. "Cost per genome vs Moore's law from 2000 to 2019", largely due to "Illumina's" technology.
The medical consequences of this revolution are still trickling down towards medical applications of 2019, inevitably, but somewhat slowly due to tight privacy control of medical records.
Ciro Santilli predicts that when the 100 dollar mark is reached, every person of the First world will have their genome sequenced, and then medical applications will be closer at hand than ever.
But even 100 dollars is not enough. Sequencing power is like computing power: humankind can never have enough. Sequencing is not a one per person thing. For example, as of 2019 tumors are already being sequenced to help understand and treat them, and scientists/doctors will sequence as many tumor cells as budget allows.
Then, in the 2010's, CRISPR/Cas9 gene editing started opening up the way to actually modifying the genome that we could now see through sequencing.
What's next?
Ciro believes that the next step in the revolution could be could be: de novo DNA synthesis.
This technology could be the key to the one of the ultimate dream of biologists: cheap programmable biology with push-button organism bootstrap!
Just imagine this: at the comfort of your own garage, you take some model organism of interest, maybe start humble with Escherichia coli. Then you modify its DNA to your liking, and upload it to a 3D printer sized machine on your workbench, which automatically synthesizes the DNA, and injects into a bootstrapped cell.
You then make experiments to check if the modified cell achieves your desired new properties, e.g. production of some protein, and if not reiterate, just like a software engineer.
Of course, even if we were able to do the bootstrap, the debugging process then becomes key, as visibility is the key limitation of biology, maybe we need other cheap technologies to come in at that point.
This a place point we see the beauty of evolution the brightest: evolution does not require observability. But it also implies that if your changes to the organism make it less fit, then your mutation will also likely be lost. This has to be one of the considerations done when designing your organism.
Other cool topic include:
- computational biology: simulations of cell metabolism, protein and small molecule, including computational protein folding and chemical reactions. This is basically the simulation part of omics.If we could only simulate those, we would basically "solve molecular biology". Just imagine, instead of experimenting for a hole year, the 2021 Nobel Prize in Physiology and Medicine could have been won from a few hours on a supercomputer to determine which protein had the desired properties, using just DNA sequencing as a starting point!
- microscopy: crystallography, cryoEM
- analytical chemistry: mass spectroscopy, single cell analysis (Single-cell RNA sequencing)
It's weird, cells feel a lot like embedded systems: small, complex, hard to observe, and profound.
Ciro is sad that by the time he dies, humanity won't have understood the human brain, maybe not even a measly Escherichia coli... Heck, even key molecular biology events are not yet fully understood, see e.g. transcription regulation.
One of the most exciting aspects of molecular biology technologies is their relatively low entry cost, compared for example to other areas such as fusion energy and quantum computing.
Marc Verdiell is a French electrical engineer born in 1963 or 1964[ref] and best known for being the creator and host of the CuriousMarc YouTube channel where he does mind blowing repairs and reverse engineering of vintage computers and other electronic equipment.
Marc made $58.4m from the sale of LightLogic, an optoelectronics company he founded, to Intel in April 2001. This was just after the dot-com crash, but Intel apparently still correctly believed that the networking and the Internet would continue to grow and was investing in the area. His associate Frank Shum sued claiming he should be credited for some of the inventions sold but lost and Marc got it all.[ref][ref][ref]. Marc was then almost immediately appointed an Intel fellow at the extremelly early age of 37, and then stayed for a few years at Intel until 2006 according to his LinkedIn.[ref][ref]
Marc's LinkedIn profile: www.linkedin.com/in/marc-verdiell-9742795/
Marc's full name is actualy Jean-Marc Verdiell, but Ciro Santilli remembers there was one YouTube video where he mentions he gave up on "Jean" partly because anglophones would murder its pronounciation all the time.
ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20160274316 also suggests he may have a seldom used middle name "André", though that would be unusual in French custom
Marc's PhD thesis is listed at: theses.fr/1990PA112048 and it is entitled:which is translated into English as:but the full text is not available online.
Mise en phase de reseaux de lasers a semi-conducteur
Phase locking of semiconductor laser arrays
Profile of Marc Verdiell by Gizmodo (2018)
Source. youtu.be/tJ2-kkhghD4?t=74 gives his house's location Atherton, California, part of Silicon Valley. youtu.be/tJ2-kkhghD4?t=279 shows his amazing garden a bit more.
youtu.be/ZgAreiFXhJk?t=253 lists some famous people who live there. It's like a micro heaven.
And a person who makes open educational content like Marc, truly deserves it.
radaris.com/p/Jean-Marc/Verdiell/ and many other sources list the exact address as:On Google Maps: maps.app.goo.gl/LM2iN9fz6YBteggp8
48 Linden Ave, Atherton, CA 94027
www.realtyhop.com/property-records/search/hoang-oanh-verdiell mentions that the property was bought on 2013-11-07 for $8,650,000 and lists other properties they've bought and sold and possibly inhabited:
- 2002-03-21: sold 4159 El Camino Way, Palo Alto, CA Unit B
- 2001-06-18: bought 763 Florales Dr, Palo Alto, CA
www.youtube.com/watch?v=gEcnjh0lSsY give a tour of the house given by the real state agent Ken DeLeon. The dude has a very suspicious Wikipedia page: en.wikipedia.org/wiki/Ken_DeLeon He is mentioend e.g. at www.forbes.com/sites/erincarlyle/2013/12/20/ken-deleon-top-silicon-valley-sales-agent-why-chinese-buyers-love-palo-alto/ as selling a lot to the Chinese.
A quick look on Google Maps show that that area is full of some incredible mansions. They managed to keep the entire place green and every house has a pool. Wikipedia comments web.archive.org/web/20220906010554/https://www.forbes.com/home-improvement/features/most-expensive-zip-codes-us/:and Forbes confirms it for 2022: web.archive.org/web/20220906010554/https://www.forbes.com/home-improvement/features/most-expensive-zip-codes-us/, by far on top.
Atherton is known for its wealth; in 1990 and 2019, Atherton was ranked as having the highest per capita income among U.S. towns with a population between 2,500 and 9,999, and it is regularly ranked as the most expensive ZIP Code in the United States [(94027)]. The town has very restricting zoning, only permitting one single-family home per acre and no sidewalks. The inhabitants have strongly opposed proposals to permit more housing construction
Starting in 2016, Marc appears to be have had a small court battle with some building contractors led by the Yip family, Cynthia Yip and Wai Yip, as Javelin Construction Inc. for selling them "a brand-new but defective home for $9m. The Verdiells then spent $5.3m further renewing it."[ref]. After endless back-and-forth, the Verdiell's won $1.2m in 2024.[ref]
Soyuz Clock Part 4: How accurate is it? by CuriousMarc (2020)
Source. The timestamp youtu.be/HKsjwT53yXw?t=580 mentions that his wife is called "Lori", and that she escaped the Soviet Union, and two of her brothers went to jail in the escape process.
The name is kind of hard to hear, but Google resolves it for us e.g. she and Marc were donnors to the Computer History Museum d1yx3ys82bpsa0.cloudfront.net/core/core-2019.pdf
The most important on in metabolism internals, everything else gets converted to it before being processed in the .
Pinned article: ourbigbook/introduction-to-the-ourbigbook-project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivative - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Internal cross file references done right:
- Infinitely deep tables of contents:
Figure 6. Dynamic article tree with infinitely deep table of contents.Live URL: ourbigbook.com/cirosantilli/chordateDescendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact