PEP 686: Python Finally Kills the Windows Locale Default
Python 3.15 makes UTF-8 the default across all platforms. Legacy PowerShell 5.1 can still get in the way.
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Val Data
Data insights, analytics, and technical explorations.
Iām Dominick Ryan, a systems and IT operations engineer. I build dependable cloud foundations, automate administrative overhead through code, and profile compute, security, and lifecycle trade-offs across distributed environments. This site documents systems benchmarks, operational architectures, and technical postmortems from platforms I maintain. There are also some personal opinions and musings, which you are free to ignore, embrace, or rail against as suits you.
My Posts
Air-Gap Your AI for Fun and Safety: When Local Models Make the Most Sense
How a hybrid workflow pairing basic Python pre-filtering with a local, air-gapped AI model turned an unmanageable 40 MB production log dump into an actionable root-cause analysis.
Don't Call Me If You're a Quitter
Reflections on history, economic friction, and resilience while walking the streets of Tbilisi.
Interactive Projects & Tools
Live Transit & Weather
BMT Brighton Line Tracker
Real-time MTA arrival tracking, live weather commute alerts, and historical performance diagnostics for the Q and B corridor.
Launch Tracker →
Macroeconomic Modeling
Housing Market Simulation
Interactive computational model simulating regional listing volumes, inventory absorption, foreclosure rates, and market pricing.
Run Simulation →
Physics & Complexity
Boids Flocking
Observe emergent complexity through three simple steering rules: Separation, Alignment, and Cohesion in a real-time vector canvas.
Launch Simulation →My Reading List
Data Analysis / Python doi.org
Data Structures for Statistical Computing in Python
The classic paper introducing the pandas library to the scientific Python community, detailing the design of high-performance DataFrame data structures for analysis.
Distributed Systems usenix.org
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing
Introduces RDDs, the core abstraction behind Apache Spark, allowing fault-tolerant, in-memory computations on large clusters for high-performance iterative algorithms.
Distributed Systems static.googleusercontent.com
The Google File System
Describes GFS, a scalable distributed file system designed for data-intensive applications, emphasizing fault tolerance, high throughput, and running on commodity hardware.