NumPy 2.0.0 released
NumPy 2.0.0 released
NumPy 2.0.0 Release Notes NumPy 2.0.0 is the first major release since 2006. It is the result of 11 months of development since the last feature release and is the work of 212 contributors spread o...
We'll that's huge. NumPy is fantastic. Had to use it for a bunch of linear algebra calculations for a Mars Atmospheric Descent Calculator. Fully mapped the trajectory and flight path as it entered the Martian Atmosphere. Was a cool little program...
I’ve had a short period, where i had to use it during uni, and it was honestly a pretty solid experience. Unfortunately i can’t say that about MATLAB, as that was a nightmare in every way imaginable
Now this I have to see...!
I'll see if I can boot it up and send you the output later. It's been awhile. If I can get it working, I'll ask you to give me a bunch of inputs (speed, trajectory, altitude, etc) and I'll send you the output. I had the speed and trajectory calculated every 0.1s so it was relatively accurate. I was planning to add in boosters and parachutes, but I never got that far. The best I can. Give you os how long it takes to plummit into the ground and at what speed lol...
It was pretty cool as it would correctly show orbits and the effect of atmospheric drag if you didn't fully descend in the first orbit around the planet, so you'd just see it loop around several times until it bled off enough speed to eventually descend into the atmosphere. I think I managed to get coreliolis effects added before I stopped messing with it.
Furthermore there are many changes to NumPy internals, including continuing to migrate code from C to C++, that will make it easier to improve and maintain NumPy in the future.
I realise that C can be rather low level a lot of the time, but I'm not sure I'd pick C++ to help keep things easy to maintain. It opens up a Pandora's box of possibilities.
With a good style/best-practice guide, C++ can be quite productive of a language to work with.
Those kinds of guides typically define which standard/convention to use and which features not to use (cough exceptions cough).
I highly recommend Google's C++ style guide: https://google.github.io/styleguide/cppguide.html.
You accidentally added a dot at the end of the link. Here's the fixed one https://google.github.io/styleguide/cppguide.html
Honestly, I prefer C to C++ anyway. If they're going to switch to something, I'd prefer Rust.
But whatever, not my project, not my concern.
Awesome! Numpy has been such a useful tool during my data science study. Happy to see that they're not afraid to make some bigger changes.