Our great sponsors
oc2 | SciPy | |
---|---|---|
13 | 50 | |
602 | 12,459 | |
- | 1.9% | |
0.0 | 9.9 | |
4 months ago | about 21 hours ago | |
Java | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
oc2
-
What are your guys' creative ways to cover cable holes?
There's OpenComputers II for 1.18.2, but unfortunately it appears to have been "abandoned".
-
Running actual Minecraft in Minecraft might actually be possible in a few years (kinda)
There is this mod called OpenComputers II, which is a spiritual successor of the original OpenComputers mod but for newer versions of Minecraft. OpenComputers II uses a library mod called Sedna to emulate a RISC-V CPU within Minecraft and run an actual Linux virtual machine inside the game. Well recently, Android has announced that they are adding support for the RISC-V architecture. Considering the fact that Android uses the Linux kernel (or at least a modified version of it), along with it being able to run Minecraft Bedrock natively (as we all know), running actual Minecraft in Minecraft might not be as far off as we think.
- Open Computers II for 1.16.5?
-
What are your favourite mods that haven't been updated past 1.12.2?
Hey pal, Open computers II
- [No Identification] I want to change the font for a program I use but its using a png based font system. What is it called when this is how fonts are stored? Is there an easy way to convert a TTF to this format?
- Being 500x faster than python still means it's 10x slower than C
-
Looking for a highly resource constrained target to run Rust on. Any ideas?
I've seen a few rust projects compiling for this RISC-V emulator inside Minecraft: https://github.com/fnuecke/oc2
-
Mekanism 1.18.2 Released
Support for Open Computers 2 exposing everything that we expose to CC: Tweaked (minus the utility methods to convert between energy types)
-
Do you guys actually use ComputerCraft in your projects?
The OC dev is developing OC2 for 1.16.5 and newer.
-
ComputerCraft/Open Computers Centered Server?
Waiting for this to get pushed through. https://github.com/fnuecke/oc2/pull/58
SciPy
-
What Is a Schur Decomposition?
I guess it is a rite of passage to rewrite it. I'm doing it for SciPy too together with Propack in [1]. Somebody already mentioned your repo. Thank you for your efforts.
[1]: https://github.com/scipy/scipy/issues/18566
-
Fortran codes are causing problems
Fortran codes have caused many problems for the Python package Scipy, and some of them are now being rewritten in C: e.g., https://github.com/scipy/scipy/pull/19121. Not only does R have many Fortran codes, there are also many R packages using Fortran codes: https://github.com/r-devel/r-svn, https://github.com/cran?q=&type=&language=fortran&sort=. Modern Fortran is a fine language but most legacy Fortran codes use the F77 style. When I update the R package quantreg, which uses many Fortran codes, I get a lot of warning messages. Not sure how the Fortran codes in the R ecosystem will be dealt with in the future, but they recently caused an issue in R due to the lack of compiler support for Fortran: https://blog.r-project.org/2023/08/23/will-r-work-on-64-bit-arm-windows/index.html. Some renowned packages like glmnet already have their Fortran codes rewritten in C/C++: https://cran.r-project.org/web/packages/glmnet/news/news.html
-
[D] Which BLAS library to choose for apple silicon?
There are several lessons here: a) vanilla conda-forge numpy and scipy versions come with openblas, and it works pretty well, b) do not use netlib unless your matrices are small and you need to do a lot of SVDs, or idek why c) Apple's veclib/accelerate is super fast, but it is also numerically unstable. So much so that the scipy's devs dropped any support of it back in 2018. Like dang. That said, they are apparently are bring it back in, since the 13.3 release of macOS Ventura saw some major improvements in accelerate performance.
-
SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code
First, if you read through that scipy issue (https://github.com/scipy/scipy/issues/18118 ) the author was willing and able to relicense PRIMA under a 3-clause BSD license which is perfectly acceptable for scipy.
For the numerical recipes reference, there is a mention that scipy uses a slightly improved version of Powell's algorithm that is originally due to Forman Acton and presumably published in his popular book on numerical analysis, and that also happens to be described & included in numerical recipes. That is, unless the code scipy uses is copied from numerical recipes, which I presume it isn't, NR having the same algorithm doesn't mean that every other independent implementation of that algorithm falls under NR copyright.
- numerically evaluating wavelets?
- Fortran in SciPy: Get rid of linalg.interpolative Fortran code
-
Optimization Without Using Derivatives
Reading the discussions under a previous thread titled "More Descent, Less Gradient"( https://news.ycombinator.com/item?id=23004026 ), I guess people might be interested in PRIMA ( www.libprima.net ), which provides the reference implementation for Powell's renowned gradient/derivative-free (zeroth-order) optimization methods, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA.
PRIMA solves general nonlinear optimizaton problems without using derivatives. It implements Powell's solvers in modern Fortran, compling with the Fortran 2008 standard. The implementation is faithful, in the sense of being mathmatically equivalent to Powell's Fortran 77 implementation, but with a better numerical performance. In contrast to the 7939 lines of Fortran 77 code with 244 GOTOs, the new implementation is structured and modularized.
There is a discussion to include the PRIMA solvers into SciPy ( https://github.com/scipy/scipy/issues/18118 ), replacing the buggy and unmaintained Fortran 77 version of COBYLA, and making the other four solvers available to all SciPy users.
- What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
-
Emerging Technologies: Rust in HPC
if that makes your eyes bleed, what do you think about this? https://github.com/scipy/scipy/blob/main/scipy/special/specfun/specfun.f (heh)
- Python
What are some alternatives?
atsamd - Target atsamd microcontrollers using Rust
SymPy - A computer algebra system written in pure Python
NIDAS - Networked Information Display & Automation Software
statsmodels - Statsmodels: statistical modeling and econometrics in Python
forge-c64
NumPy - The fundamental package for scientific computing with Python.
PythonIsNotSlow - Simple program to benchmark C vs pure Python vs Numpy vs Cython.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Primes - Prime Number Projects in C#/C++/Python
astropy - Astronomy and astrophysics core library
fonts-for-games
or-tools - Google's Operations Research tools: