marktechpost

A Coding, Data-Driven Guide to Measuring, Visualizing, and Enforcing Cognitive Complexity in Python Projects Using complexipy

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...
blockchain

TypeScript Overtakes Python as GitHub's Top Language Amid AI Coding Boom

GitHub's 2025 Octoverse reveals TypeScript added 1M+ contributors to claim #1 spot, as typed languages become essential for AI-assisted development workflows. TypeScript has dethroned Python as the ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...
IEEE

Python Security in DevOps: Best Practices for Secure Coding, Configuration Management, and Continuous Testing and Monitoring

Abstract: Python is a widely-used programming language in various applications, including those developed using DevOps practices. However, the utilization of Python in DevOps presents security ...