This repository provides a framework for building AWS Lambda layers that enable connectivity to Microsoft SQL Server databases using the pyodbc library. Each artifact is version-specific, tailored for ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

The first release candidate (RC0) of SQL Server 2025 is now available. As we move toward general availability, our focus shifts to delivering enhanced stability, performance, and product improvements ...

Community driven content discussing all aspects of software development from DevOps to design patterns. I sometimes feel as though the Spring Boot banner is mocking me. I’m working hard, ...

Hackers have started to exploit a critical remote code execution vulnerability in Wing FTP Server just one day after technical details on the flaw became public. The observed attack ran multiple ...

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...

Long before Linux was introduced, I worked as a Unix system administrator. In those days, I downloaded the source code, unpacked the tarball archive it arrived in, compiled it, and installed it ...

Abstract: Self-regulated learning refers to the process in which learners are responsible for their own learning, from passive acquisition of knowledge to learning self-active control and restraint.

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...