DataBindable Business Objects in .NET
Explores two main approaches for data binding business objects in .NET: O/R mapping tools and typed DataSets.
Explores two main approaches for data binding business objects in .NET: O/R mapping tools and typed DataSets.
A developer shares a set of PHP classes for generating Excel 2007 (.xlsx) files, supporting basic data types and formulas.
A developer's first blog post about creating custom blog software using PHP and a personal framework, with plans for future features.
A technical guide on resolving a Nessus3 installation dependency conflict on Ubuntu by creating symbolic links for libssl libraries.
Tips for improving the performance of web applications built with the Apache Cocoon framework.
Discusses challenges of using XHTML with Cocoon, focusing on browser rendering issues, empty element problems, and mime-type requirements.
A satirical look at the ideological debates within Debian and the FSF over kernel firmware licensing, framed as a Monty Python skit.
A comparison of the Ottawa Linux Symposium (OLS) and Usenix conferences, focusing on paper quality, attendee energy, and relevance to Linux/OSS development.
An analysis of cultural and governance issues within the Debian project, questioning its functionality and suggesting a potential fork.
A tech blogger discusses retiring a vulnerable Nokia 6310i phone due to bluesnarfing and seeks a secure GSM replacement with specific features.
A developer's first blog post reflecting on starting a public journal, work-life balance, and upcoming tech conference talks.
A talk on using the dplyr library in R for efficient and readable data manipulation, presented to the Davis R Users' Group.
A case study on running a successful R user group (D-RUG), covering co-work sessions, tutorials, a Q&A listserv, and lessons learned for community engagement.
Discussion on whether databases should use foreign key constraints, addressing common developer objections and advocating for their use.
Learn how to detect event patterns in Microsoft Fabric's Activator for real-time intelligence, using rules and KQL to identify sequences and trends.
A detailed review of 'Causal Inference with Bayesian Networks', covering its content, practical examples, and suitability for data scientists.