The Decatur Daily

How to Learn Data Science with Python in 2026: The Complete Beginner-to-Job-Ready Roadmap

A large amount of time and resources have been invested in making Python the most suitable first programming language for ...
Computer Weekly

CUDA at 20: From billion-dollar gamble to agentic AI

As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...
InfoWorld

9 reasons Java is still great

Java has endured radical transformations in the technology landscape and many threats to its prominence. What makes this ...
WatersTechnology

Firms look to decommission legacy tech and embrace a range of cloud-based tools

Survey of capital markets firms reveals a demand for cloud-native analytics, as well as an increased adoption of artificial ...
InfoQ

Google Open-Sources the Common Expression Language for Python

Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing ...
manilatimes

Lemurian Labs Appoints Java Pioneer Kim Polese to Board, Adds MIT Compiler Leader Saman Amarasinghe as Technical Advisor

SANTA CLARA, Calif., March 11, 2026 (GLOBE NEWSWIRE)-- Lemurian Labs today announced the expansion of its leadership team with the appointment of Kim Polese to its Board of Directors and Saman ...
GitHub

A pure Python HTML5 parser that just works. No C extensions to compile. No system dependencies to install. No complex API to learn.

Just... Python 🐍 — Pure Python, zero dependencies — no C extensions or system libraries, easy to debug, and works anywhere Python runs, including PyPy and ...
IEEE

Using Semeru Cloud Compiler to Enhance Cloud-Native Java Application Performance

Abstract: Java-based applications rely on just-in-time (JIT) compilation to convert bytecode into machine code at run-time to improve throughput. However, JIT compilation is achieved at the cost of ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...