🧪 Pytest

Testing Framework, Fixtures, Assertions, Test Coverage

How to reverse engineer USB HID on Linux
popovicu.com·3d·
Discuss: r/linux
🐧Linux Kernel
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Frequency-Aware Sparse Optimization for Diagnosing Grid Instabilities and Collapses
arxiv.org·1h
📡Event-Driven Architecture
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Building a Structured Menu Tracker – Lessons from a Simple Drink Menu Project
dev.to·11h·
Discuss: DEV
🛠️DIY projects
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Automated Anomaly Detection in Turbulent Flows via Recursive Feature Space Expansion
dev.to·1d·
Discuss: DEV
🔄dbt
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·1d·
Discuss: DEV
👀Code Review
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Tech With Tim: 7 Python Anti Patterns to Avoid
dev.to·1d·
Discuss: DEV
🔍Python Linting
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Towards AI-Assisted Generation of Military Training Scenarios
arxiv.org·1h
🔬Synthetic Data
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Python To-Do List Application Tutorial Guide 2025
dev.to·14h·
Discuss: DEV
🎯Context Managers
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Designing Mental-Health Chatbots for Indian Adolescents: Mixed-Methods Evidence, a Boundary-Object Lens, and a Design-Tensions Framework
arxiv.org·1h
✅Pydantic
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Krish Naik: Stop Fighting with Kubernetes! Scale Python to 1000s of Machines with Coiled
dev.to·4h·
Discuss: DEV
📊Parquet
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SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
arxiv.org·2d
✅Pydantic
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Mastering Python Strings: A Deep Dive for Senior Developers
dev.to·1d·
Discuss: DEV
🏷️Python Typing
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Building Your First MCP Server: A Practical Guide
dev.to·3d·
Discuss: DEV
🎀Decorators
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Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
arxiv.org·1d
🔄Data Engineering
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Tech With Tim: 7 Python Anti Patterns to Avoid
dev.to·2d·
Discuss: DEV
⚡Ruff
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Tech With Tim: 7 Python Anti Patterns to Avoid
dev.to·2d·
Discuss: DEV
🔍Python Linting
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Tech With Tim: 7 Python Anti Patterns to Avoid
dev.to·6h·
Discuss: DEV
🔍Python Linting
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Krish Naik: Stop Fighting with Kubernetes! Scale Python to 1000s of Machines with Coiled
dev.to·2h·
Discuss: DEV
📊Parquet
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🚀 Why Programming Knowledge Still Matters in the Age of AI Development Tools
dev.to·2h·
Discuss: DEV
👀Code Review
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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster
arxiv.org·1d
🗺️OpenStreetMap
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