IEEE

Prioritized Task Offloading Mechanism in Cloud-Fog Computing Using Improved Asynchronous Advantage Actor Critic Algorithm

Abstract: Task scheduling is a crucial aspect in cloud computing paradigm as tasks with different processing capacities arise from heterogeneous resources and scheduling these different tasks to ...
InfoWorld

Do more with Python’s new built-in async programming library

There’s lots to do in this edition of the Python Report: Do more than one thing with Python’s async. Do the math faster in Python with NumPy. Do Python in Visual Studio Code, and do it the right way ...
GitHub

Python bindings for SeaORM

Wanted to know your thoughts on python bindings for SeaORM — Pydantic/SQLModel-friendly API as a replacement for sqlalchemy + sqlmodel + alembic(for migrations) combo SeaORM is an excellent ORM ...
Geeky Gadgets

Python in Excel : Easily Unlock Advanced Data Analytics

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...
Visual Studio Magazine

Asynchronous and Parallel Programming in C#

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...
Frontiers

Fostering self-regulated learning using synchronous or asynchronous digital learning environments: a latent profile analysis of pre-service teachers’ individual differences

1 Department of Educational Science, Saarland University, Saarbruecken, Germany 2 Department for Teaching and Studies, Saarland University, Saarbruecken, Germany Self-regulated learning (SRL) is ...
IEEE

Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning With a Use-Case in Resource Allocation in Communication Networks

Abstract: Distributed learning and adaptation have received significant interest and found wide-ranging applications in machine learning and signal processing. While various approaches, such as shared ...