Programming Leftovers
-
Dirk Eddelbuettel: RcppArmadillo 0.10.7.0.0 on CRAN: New Upstream
Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 912 other packages on CRAN.
This new release brings us Armadillo 10.7.0 released this morning by Conrad. Leading up to this were three runs of reverse dependencies the first of which uncovered the need for a small PR for subview_cols support which Conrad kindly supplied.
-
PoCL 1.8 OpenCL Implementation Coming With LLVM 13 Support, Better SPIR-V On CUDA
PoCL is the open-source project implementing OpenCL for CPU-based execution as well as multi-device support by getting its Portable Computing Language implementation working atop NVIDIA GPUs via CUDA, AMD GPUs via HSA, and other experimental implementations through leveraging LLVM/Clang.
-
Arm Begins Adding Armv9 Support To The GNU Compiler Toolchain
Arm engineers have begun landing their Armv9 enablement work in the GNU compiler toolchain.
Yesterday brought the initial Armv9 commits to GNU Binutils. This included adding armv9-a to -march for the GNU Assembler as well as for GAS adding the Cortex-X2, Cotex-A510, and Cortex-A710.
-
Awesome Python Video Tutorials Keep You Motivated | Hackaday
Programming languages are one of those topics that we geeks have some very strong and often rather polarised opinions about. As new concepts in computing are dreamt up, older languages may grow new features, if viable, or get left behind when new upstarts come along and shake things up a bit. This scribe can remember his early days programming embedded systems, and the arguments that ensued when someone came along with a project that required embedded C++ or worse, Java, when we were mostly diehard C programmers. Fast forward a decade or two, and things are way more complicated. So much choice, so much opinion.
-
8 reasons why I learned Core Java | Opensource.com
Computer programming, also known as coding for short, is not about which language you use. It's about developing programming logic and learning to think like a programmer. The language you start with should be the one that helps you the most in this endeavor. So you have to ask yourself the question: "What do you want to do as a programmer?"
For example, if you want to work on Android app development, video game development, desktop GUI applications, or just general software development, I think learning Java is an excellent option. It's the language I chose, and it has made a whole world of programming available to me. In India, where I live, the average salary of a Java programmer is around 5.9 Lakhs per Annum (LPA) (it can be as high as 10 LPA, depending on your experience.)
Java is a vast language, though, with lots of frameworks and variants to choose from. Core Java is the term the tech industry has developed to refer to the central components of the Java language—the thing that people use to write the frameworks and has developed the cottage industry around Java. I believe that Core Java is one of the most powerful skills you can acquire because understanding the basics of Java gives you a significant advantage when learning all of the related tools built on top of it.
- Login or register to post comments
- Printer-friendly version
- 1947 reads
- PDF version
More in Tux Machines
- Highlights
- Front Page
- Latest Headlines
- Archive
- Recent comments
- All-Time Popular Stories
- Hot Topics
- New Members
digiKam 7.7.0 is releasedAfter three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release. |
Dilution and Misuse of the "Linux" Brand
|
Samsung, Red Hat to Work on Linux Drivers for Future TechThe metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world. Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility. |
today's howtos
|
Recent comments
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago