A collection of humorous programming fails and silly code mistakes, shared for entertainment and a reminder to double-check your work.
Explains how to configure and use HTTP and HTTPS proxies with the Python Requests library, covering the API and internal implementation details.
A quick guide explaining how to use the $(inherited) flag in CocoaPods to resolve Xcode build setting conflicts.
Explains how to parallelize QR decomposition for linear models on big data using R's biglm package and incremental merging.
Explores using sparse matrix techniques in R to efficiently calibrate survey weights for large-scale population data.
Discusses the nuance in web development advice, using responsive images as an example of why 'your mileage may vary' (YMMV).
Explains how to implement user-defined ordering in RavenDB, moving from a complex MSSQL approach to a simpler document-based solution.
Explores limitations of causal graph assumptions in statistical modeling, discussing when variables like poverty or diet may violate the faithfulness condition.
A developer shares technical learnings from June, covering Objective-C, CocoaPods, zsh configuration, and a math trivia.
A software engineer details the process and technical decisions behind redesigning their personal blog, focusing on web design improvements.
Explains how to use Guava's caches for fine-grained, object-based locking to improve concurrency in Java web applications.
Introducing cl-openstack-client, a Common Lisp library for interacting with OpenStack APIs, detailing its CI setup and current implementation status.
A technical guide on using OPatch's napply option to efficiently apply multiple patches to Oracle Business Intelligence (OBIEE) in one go.
Compares hstore and JSON data types in PostgreSQL, discussing their features, limitations, and use cases for schema-less data storage.
A guide on using assertions in code for debugging, API contracts, and server integration, with strategies for handling release builds.
Examines statistical challenges with the causal Markov and faithfulness properties, focusing on measurement error's impact on causal inference.
Argues that simple, open standards like HTTP, JSON, and Markdown consistently win over complex, heavyweight solutions on the internet.
Discusses the shift away from CSS vendor prefixes as features become stable, and the need to treat experimental features carefully.
Argues that in government IT, the main challenge isn't technology but cultural adoption and bureaucratic inertia.
An article explaining cryptography and data security concepts, including a notable section on steganography.
