Simulations evaluate new electrolytes for batteries of the future
techxplore.com·9h
🔢Numerical Methods
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How to design a join code system
thoughtbot.com·1d
🌳Red-Black Trees
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🎲 Never, Ever Make Recursive Lambda Calls
blog.kochie.io·3d
λFunctional Programming
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Resolving the Scourge of Java's Checked Exceptions on Its Streams and Lambdas
javajanitorjim.substack.com·1d·
Discuss: Substack
λFunctional Programming
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Myers Diff for Tab Management: Part 2
deontevanterpool.com·5d·
Discuss: Hacker News
🗺️Graph Algorithms
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Managing Modern HPC Clusters and Supercomputers from Software to Hardware
link.springer.com·22h·
Discuss: Hacker News
🔢Numerical Methods
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Python 3.14 Released and Other Python News for November 2025
realpython.com·12h
💻programming
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SE-Res-U-Net: an improved U-Net architecture for efficient sleep state detection and classification
nature.com·1d
📈Optimization
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Performing Nonlinear Least Squares and Nonlinear Regression in R
dev.to·14h·
Discuss: DEV
📈Optimization
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Incremental Selection of Most-Filtering Conjectures and Proofs of the Selected Conjectures
arxiv.org·6d
⏱️Computational Complexity
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Best Free Tools for Remote Developers Working Across Time Zones (2025)
dev.to·12h·
Discuss: DEV
🏗️Design Patterns
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AI hasn't seen widespread adoption because the labs are focusing on automating AI R&D
lesswrong.com·1d
💻programming
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Intro to Clean Architecture in Android. Example with independent features.
dev.to·1d·
Discuss: DEV
🏗️Design Patterns
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Testing While Developing (Part 5): Collecting Coverage
dev.to·1d·
Discuss: DEV
💻programming
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Automated Conformational Sampling & Scoring via Hybrid Monte Carlo-Gradient Techniques for Lead Optimization
dev.to·1d·
Discuss: DEV
🎯A* Search
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Model Collapse: The AI Feedback Loop Problem Nobody Wants to Talk About
dev.to·12h·
Discuss: DEV
📈Optimization
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Complete Guide to Web Scraping with Nodejs and Puppeteer
dev.to·17h·
Discuss: DEV
💻programming
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r/SillyTavernAI
reddit.com·1d·
💻programming
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Accelerated Blue Dopant Synthesis Prediction via Bayesian Optimization & Multi-Scale Simulation
dev.to·21h·
Discuss: DEV
🔢Numerical Methods
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·3d
📈Optimization
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