Search Results for "programming learning system" - Page 24

"PyLab Works" is a free and open source replacement for LabView + MatLab, written in pure Python. PyLab Works is much easier to learn and to extend than LabView and gives a much better programming environment than MatLab. Even kids can use it!

The EaseFilter Filter Driver SDK is a collection of tools, libraries, and sample code designed to facilitate the creation of Windows file system filter drivers. These drivers operate at a low level, intercepting file I/O requests before they reach the underlying file system or other filter drivers. The EaseFilter SDK provides a powerful interface for developing Windows filter drivers in C++, C#, or other programming languages that support native DLL calls. This guide helps developers understand how to use the SDK effectively to monitor, filter, or control file system activities in real time.

The aim of the CPyrol project is to create a complete Python interpreter written in C++ with minimal system requirements and a very clean codebase. I am working on this project mainly to gather experience with the current C++ standart (C++ 11) and with compiler development, it is not (yet) intended for practical usage. This project is at an early stage of development. Currently implemented is a Lexer, Parser and Code Generator for compiling Python code into CPython-compatible bytecode.

LZO is a compression library which is widely used around the world. The main problem with LZO is that it is absolutely not human readable. People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed. So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C. In...

VocabTrainer is an freeware, open-source python-based system to aid in learning new languages. It is the ideal companion to a language class or course.

...While the base model is not fine-tuned for downstream tasks, it is designed to be easily adapted through supervised fine-tuning (SFT) or reinforcement learning (RL). Benchmarks on RepoBench, SAFIM, and HumanEval demonstrate its competitive performance, with specialized fine-tuned versions for Python already showing strong improvements.

Testerman is an attempt to produce a TTCN-3 inspired test automation system without the strict typing model of the TTCN-3 test control notation that can be too heavy to be practical with non-stricly defined protocols. This is achieved by bringing TTCN-3 primitives and concepts to the Python programming language. It provides a complete environment to design, manage, execute and analyze automated tests, and can be used as a platform to develop test simulators (drivers and stubs) and prototypes of network applications.