TechAnnouncer

Master Python Programming with These Essential Examples

This article is all about giving you some practical python programming examples to try out. We’ll cover the basics, then move ...
TechAnnouncer

Mastering Python: Practical Code Examples for Every Skill Level

We’ve put together some practical python code examples that cover a bunch of different skills. Whether you’re brand new to ...

Forget Python Or Java: What You’re Speaking Is Code

Scripting languages like Python and JavaScript quickly gained popularity and pushed further toward human readability. They ...
InfoWorld

Exciting Python features are on the way

Don’t miss the transformative improvements in the next Python release – or these eight great reads for Python lovers.
Hackaday

Python Comes To The Arduino Uno Q

MicroPython is a well-known and easy-to-use way to program microcontrollers in Python. If you’re using an Arduino Uno Q, ...
TechAnnouncer

Master Python: A Comprehensive Tutorial for Beginners on YouTube

So, you want to learn Python, and you’re thinking YouTube is the place to do it. Smart move! The internet is packed with ...
IEEE

Factors Affecting the Effectiveness of Generative Artificial Intelligence Apps on University Students' Programming Language Learning in Sri Lanka: A Systematic Literature Review

Abstract: In today's era, technology has become pervasive worldwide, significantly facilitating access to learning resources. Notably, the emergence of Generative Artificial Intelligence (AI) has ...
IEEE

A Systematic Review of Large Language Models in Programming Learning: Applications, Effects, and Future Directions

Abstract: This study provides a systematic review of 3 years of empirical research on the use of Large Language Models (LLMs) in programming learning. Following the PRISMA methodology, we conducted a ...
IEEE

Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling

Abstract: dynamic flexible job shop scheduling (DFJSS) is a critical combinatorial optimization problem known for its dynamic nature and flexibility of machines. Traditional scheduling methods face ...
IEEE

An Improved Distributed Maximum Power Point Tracking Technique in Photovoltaic Systems Based on Reinforcement Learning Algorithm

Abstract: The mismatch problem is commonly happened in photovoltaic systems due to partial shading conditions. Distributed maximum power point tracking architectures can be used to solve such problem.
IEEE

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package

Abstract: Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers, due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate ...
IEEE

Collaborative Learning in Programming Education with the Programmed Visual Contents Comparison Method

Abstract: This paper discusses the effectiveness of the Programmed Visual Contents Comparison Method (PVCC) for collaborative learning in computer programming education. Building upon our previous ...