Some people like merges, but they are ugly and stupid. Rebase instead and keep linear history.
Linear history:
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1 first commitBranched history:
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1/ first commitWhich type of tree do you think will be easier to understand and maintain?
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You may disconnect now if you still like branched history.
- kimchi
- reverse debugging
- E Ink
- web archiving
- Buildroot
- integrated development environments
- degreaser
- UML: while it might seem like a over-thought thing and likely is, the basic idea that understanding "one to one vs one to many vs many to many" relationships between objects and which object can see which object, is a fantastic approach towards understanding complex object oriented code
- open source software, including open source scientific computing consultancies
- computer
- FOSDEM. Ciro Santilli attended in 2016, and felt extremely good together with all those amazingly smart open source hackers: www.quora.com/What-are-the-best-open-source-conferences/answer/Ciro-Santilli
- Sass
- vimium
- bisection
- vector graphics, notably scalable Vector Graphics
- ASCII art
- OAuth
- command-line interface
- virtualization
- Anusol
- autodidacticism and self-directed learning
- end-to-end encryption
- The Criterion Collection
- version control
- SQLite
- Guerrilla Mail
- POSIX
- static website
- Freeman Dyson
- open access academic publishers
- unconditional basic income
- transhumanism
- 2FA, and notably 2FA apps
- human-readable formats
- wealth tax
- Reproducible builds
- F-Droid
- Can't get you out of my head by Adam Curtis (2021)
- drug liberalization
- Wiki-binge
- molecular Sciences Course of the University of São Paulo
- meal deal
- clade, as opposed to taxonomic ranks
- lingua franca, see also: having more than one natural language is bad for the world
- rsync
- zip hoodies
- phys.org/news/2023-02-muon-detectors-remotely-3d-image.html Using muon detectors to remotely create a 3D image of the inside of a nuclear reactor (2023)
Looking at most astronomical object through a telescope is boring because you only see a white ball or point every time. Such targets would likely only be interesting with spectroscopy analysis.
There are however some objects that you can see the structure of even with an amateur telescope, and that makes them very exciting.
Some good ones:
- The Moon, notably crater detail.
- Saturn. Clearly visible to the naked eye, but looks like a ball. But under an amateur telescope, you can clearly see that there is a disk. Clearly discerning that the disk is a ring, i.e. seeing the gap, is a bit harder though.
- Jupiter. Clearly visible to the naked eye, it is quite huge. The four Galilean moons, being Earth-sized, are incredibly clearly visible, tested on Celestron NexStar 4SE 25mm/9mm eyepiece. Colored gas clouds are hard though, you will likely just see it bright white. www.reddit.com/r/telescopes/comments/35xrbb/how_can_i_see_the_color_of_jupiter_with_my/
- a double star. As mentioned at www.relativelyinteresting.com/10-astronomical-targets-new-telescope/ Albireo are incredibly separated. Also it is is easy to find manually being in a major well known constellation. It is no wonder it is not quite even known if they are gravitationally bound or not!
- Andromeda Galaxy. This is when things start getting hard. You can see a faint cloud, but it is not super clear that it has a center.One important understanding is that it is not possible to see stars outside of the Milky Way by naked eye.It is at this point that you start to learn that pictures of faint objects require longer term exposure and averaging of the images taken. For this you need:Just looking through the scope to immediately see something is not enough.
- a digital camera attached to the scope
- a computerized scope that slowly moves to track the point of interest
- image processing software that does the averaging
Video "Andromeda Galaxy with only a Camera, Lens, & Tripod by Nebula Photos (2020)" gives a good notion of expectation adjustment.
The "AI" part is just prerequisite buzzword of the AI boom era for any project and completely bullshit.
According to job postings such as: archive.ph/wip/Fdgsv their center is in Goleta, California, near Santa Barbara. Though Google tends to promote it more as Santa Barbara, see e.g. Daniel's t-shirt at Video "Building a quantum computer with superconducting qubits by Daniel Sank (2019)".
Previously on EdX: www.edx.org/learn/quantum-physics-mechanics/delft-university-of-technology-topology-in-condensed-matter-tying-quantum-knots "DelftX: Topology in Condensed Matter: Tying Quantum Knots".
But then they regained their sanity and put the source code on GitHub: github.com/topocm/topocm_content and is CC BY-SA.
One of Ciro Santilli's favorites.
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