Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. You might be familiar with ...

TIOBE Index for January 2026: Top 10 Most Popular Programming Languages Your email has been sent January’s TIOBE Index begins the year with familiar names still setting the pace, but the underlying ...

Stochastic modelling is the development of mathematical models for non-deterministic physical systems, which can adopt many possible behaviours starting from any given initial condition. Monte-Carlo ...

Abstract: This paper proposed a novel stochastic programming which formulates the minimum energy cost routing for ad hoc wireless network. We presented the stochastic programming formulation to find ...

Abstract: This article is devoted to stochastic convergence theorems for stochastic impulsive systems (SISs) and their application to discrete-time stochastic feedback control (DTSFC). A general ...

This project presents a comprehensive stochastic simulation study of a multi-product restaurant queueing system. Using discrete event simulation, we optimize restaurant operations by balancing ...

This repository accompanies Stochastic Finance with Python by Avishek Nag (Apress, 2024). Download the files as a zip using the green button, or clone the repository to your machine using Git.