
Discover effective strategies for managing database schema changes in CI pipelines, focusing on safety, automation, and modern patterns for evolving data models while maintaining stability.

Explore dynamic algorithm configuration and hyperparameter optimization approaches, comparing AutoML and black-box optimization methods for efficient, adaptive parameter tuning.

Explore a novel algorithm for generating well-typed lambda terms that use their arguments effectively, improving random testing of functional language compilers.

Comprehensive guide to Flax, a JAX-based ML library. Learn basics, custom models, optimization, and practical examples like linear regression and CNN on MNIST. Ideal for ML enthusiasts.

Comprehensive analysis of popular deep learning optimizers, comparing performance across tasks and providing evidence-based recommendations for algorithm selection and parameter tuning.

Upgrade a Ryzen 3 2200G PC with a GTX 1050 Ti graphics card. Step-by-step guide covers driver removal, installation, and performance testing using PassMark software.

Windows installation, setup, and performance testing of a Ryzen 3 2200G budget PC build, including BIOS configuration, driver updates, and PassMark benchmarks.

Learn to install Chrome extensions at runtime in Katalon Studio using two methods: runtime installation and custom browser with pre-loaded extensions. Includes step-by-step guide and code examples.

Learn to run Katalon Studio tests on Linux using Git and Jenkins. Covers project setup, Jenkins installation, job configuration, and test execution with result reporting and analysis.

Learn to set up and run Gatling performance tests from the command line, covering project setup, IDE configuration, and executing simulations with Maven.

Learn to use CSV files as data sources in Gatling performance tests. Explore feeder strategies, implement feeders in scripts, and effectively utilize test data for more realistic load testing scenarios.

Learn to set up, record, and execute performance tests using Gatling with Maven and IntelliJ IDEA. Covers project setup, script creation, and report analysis for beginners.

Learn Gatling for powerful load testing: setup, recording, script generation, and performance test execution. Explore features, architecture, and reporting capabilities of this open-source tool.

Explore Continuous Previews with Uffizzi for Docker, enabling efficient testing and deployment workflows. Discover how this approach enhances collaboration and accelerates development processes.

Comprehensive guide to testing and troubleshooting ML systems, covering software testing tools, automation, ML-specific testing strategies, and performance optimization techniques.

Learn to write unit tests for Ethereum smart contracts using Brownie and Pytest, focusing on a ballot contract. Gain practical skills in testing contract functionalities and achieving comprehensive test coverage.

Learn to write unit tests for Ethereum smart contracts using Brownie and Pytest, achieving 100% test coverage for confident, bug-free code deployment.

Discover strategies to modernize legacy applications, implement service-oriented architecture, and build a continuous deployment pipeline. Learn from real-world examples to boost development velocity and confidence.

Explore common blockchain bugs, their impact, and testing techniques. Learn about a new fuzzer for Substrate-based chains and see live demonstrations of typical vulnerabilities.

Learn to create and manage Linux virtual machines using LXD, an open-source engine. Explore installation, CLI commands, pre-built images, and practical applications for self-hosting, testing, and learning different distributions.

Learn to debug PowerShell modules using Pester unit tests in Visual Studio Code. Build a module, write failing tests, set breakpoints, and step through code to identify and fix issues.