People who own a 3D printer but never print.
Signature look of superiority
Oh, I agree.
My worst experiences with Python are related to running multiple processes of which share anything. Rust was far easier in that.
Looks like interpreted Rust would be my only demand for Rust to shine in prototyping world.
Yes, and that's what the post is about.
Saying that Rust is not the right tool for this job, what other tools exist which are similar to Rust but also do the job.
I don't have the answer though. Just came to add my thoughts.
Not sure if this is what OP is seeking, but I would be fine to have borrow checker removed, replaced with Garbage collector like Go/Python in such a language.
To build prototypes, I don't want to fight with borrow checker and neither I care for efficiency much. But I do want the macro system, traits, lazily asynchronous runtime, cargo like package manager, easy build system, etc.
Rust has so many powerful features, but only because of borrow checker (IMO) we can't use it for rapid prototyping like Python. With that replaced, this subset of Rust would be something which can be a great contender to Python/Go, etc.
Thanks to everyone involved for another big release. There are many great features, but I'm particularly curious about User data export/import.
If someone can import a backup and get access to his data back, does this also mean that some hacker/impersonator can manually craft a backup file and import it to take control of our account ? Interested to know how this works.
I was going to type the same. Since OP started learning about 11 months ago, I wonder if he has explored on the realthunder version of freecad or not ?
Curious to know which version of freecad did you try ? Few days ago I installed the latest edge version from snap (0.22 in progress) and didn't notice this issue. I know about this issue & realthunder, also watched some of his interviews and found that the guy is a master of his field.
Anyways, now I'm on beta channel of freecad-realthunder.
Just exploring about this tp-link XN020-G3v router. I'm mostly interested in connecting to the UART, won't be tinkering with electronics of it, but out of curiosity I tried to search what these chips are. and I couldn't find much about the big chip. Can anyone describe the 4 main chips on it ? Best would be datasheet, but whatever information you can provide.
I suspect
- bigger one(ECONET EN7526FCU) is CPU/SOC, (couldn't find datasheet/specs). Can anyone provide details ?
- MT7592N is definitely network IC(found datasheet)
- Le9641PQC is network IC. required for VoIP. (found datasheet)
- AJ194 (backside) is flash ? How to tinker with it ?
Oh ohkay. Thanks for clearing up.
The author himself mentioned that it is a staging instance for voyager.
It's in this comment.
https://github.com/aeharding/voyager/issues/9#issuecomment-1804277817
This is an instance created as staging environment for voyager, as mentioned here
But looks like it is blocked in programming.dev, because of which I can't access it while being logged in to programming.dev instance.
I want my devices to run on an OS/framework which allows everything to be scriptable. Data should be visualised using simple/consistent interface.
There will be events, Actions, variables, data-streams, etc and the operating system should provide easy interface to quickly create new programs which can
- Visualize data streams (filterable) using simple interfaces(configurable)
- Create scripts which can create custom events or custom actions which are just built upon existing events/actions.
In such a system, the focus of apps should not be to add fancy interfaces for simple things, but to register new events, actions, data streams, visualizers into the OS and maybe provide new templates to use these additions.
Don't have an objective definition of "Best" but here are few over the top of my head.
- Profiled backend's startup and reduced startup time by ~20-30 times. Issue was we were traversing node_modules folder to scan for API documentation.
- Profiled python using cProfiler & snakeviz and optimized dozens of regex calls by simple pre-filtering. Improved performance by ~20 times.
- Profiled python using pprofile & qcalgrind (IIRC) to pinpoint a single heavy regex compilation and optimized it by pre-filtering. Improved performance 8-10 times.
- Use nodejs streams to do load data from s3, parse as CSV, transform into different structure and save into s3 in a continuous stream. Didn't measure the performance gains but should be several times atleast. 5... many more, some coming from embedded world and even more drastic & unexpected
What have you tried searching till now ?
There are many options like GitHub pages, Vercel, Netlify, etc. which can be free.
Other like AWS, firebase, etc which can be costly.