Subject
88 entries
Reference
Bookmarks
Vocal Guide: technique reference
A reference guide covering 21 vocal techniques — registers, styles, effects, embellishments, dynamics — with descriptions. Useful compact resource for vocalists or anyone studying singing technique.
Animated Knots: reference for knot-tying
Animated Knots is the web's reference for learning knot-tying through step-by-step animations — organized by activity (climbing, sailing, fishing, surgical) and by knot type. iOS and Android apps available.
NASA Technical Reports Server (NTRS)
The NASA Technical Reports Server (NTRS) is the public repository for NASA's research: conference papers, journal articles, patents, technical reports, and videos. Free public access to decades of aerospace and space science literature.
Crowdsourced DeAI Map: Decentralized AI Ecosystem Landscape
A crowdsourced map of the Decentralized AI (DeAI) ecosystem — projects working on distributed compute, decentralized training, on-chain AI inference, and related infrastructure. Useful as a landscape reference for the intersection of AI and decentralized systems.
Decentralized Tech Ecosystem Map
The Digital Life Collective's Kumu map of the decentralized tech ecosystem — a visual graph of projects, protocols, and organizations across blockchain, P2P, privacy, identity, and governance spaces. A useful orientation map for the broader decentralization movement.
Algotree: Algorithm and Data Structure Reference
Algotree is a reference site for algorithms and data structures with implementations in Python, Java, C++, and Go — covering sorting, graph traversal, dynamic programming, and more. Targeted at students, interview prep, and developers filling knowledge gaps.
Secrets Management Overview
A comparative overview of 10 secrets management tools across on-premises, SaaS, and hybrid deployment models, from open-source options like Ansible Vault and Conjur to commercial platforms like HashiCorp Vault, Doppler, and Akeyless.
Hoodmaps SF
Hoodmaps is a crowd-sourced neighborhood label map where locals annotate city areas with informal descriptors like 'hipsters,' 'rich,' 'suits,' 'tourists,' and 'sketchy.' More useful for understanding a city's cultural geography than official neighborhood boundaries.
Open Infrastructure Map: visualizing physical infrastructure from OpenStreetMap
Open Infrastructure Map visualizes power lines, substations, gas pipelines, telecom towers, and other physical infrastructure from OpenStreetMap data. A public, interactive map of the hidden physical systems civilization depends on.
HN Top 40 Books of 2023
The Hacker News Top 40 most-recommended books of 2023, compiled from community discussion. SICP and DDIA top the list; the pattern across 40 books reveals HN's bias toward CS fundamentals, mathematical rigor, and timeless over trendy.
Greg Egan's Foundations: Physics for SF Readers
Greg Egan's Foundations is a four-part series explaining Special Relativity, General Relativity, Black Holes, and Quantum Mechanics for science fiction readers — accessible with high school math, focused on deriving concrete predictions rather than history or philosophy.
Book List for Streetfighting Computer Scientists
Nick Black's curated reading list for developing deep, confrontational CS competence — covering C/C++/Rust, algorithms (Knuth, CLRS), systems (Stevens, Kerrisk), architecture, and theory. Explicitly excludes ML, quantum, and infosec.
Data Engineering Design Patterns (DEDP)
Data Engineering Design Patterns (DEDP) is a free online book covering canonical patterns for building data pipelines — ingestion, transformation, storage, and orchestration. Structured as a pattern catalog rather than a tutorial, useful as a reference for recurring architectural decisions.
LLM Course: Roadmaps and Notebooks for Large Language Models
A comprehensive GitHub repository by Maxime Labonne with roadmaps, notebooks, and articles for learning about LLMs — from fundamentals through fine-tuning and deployment. One of the most starred LLM learning resources, covering the full practitioner pipeline.
The Architecture of Today's LLM Applications
GitHub's overview of LLM application architecture patterns as of late 2023 — the standard components (inference, context, orchestration, state, tools) and how they fit together. A useful snapshot of the consensus architecture before it fragmented into frameworks.
PostgreSQL Encryption: The Available Options
Matt Palmer's comprehensive overview of PostgreSQL encryption options — covers full-disk encryption, TLS in transit, column-level encryption with pgcrypto, and the tradeoffs between each. A clear-headed reference for teams navigating database encryption requirements.
Cloud Costs Every Programmer Should Know
Vantage's reference on cloud costs every programmer should internalize — covering compute, storage, networking egress, and database tiers across AWS, GCP, and Azure with rough mental models for estimating costs. Essential calibration for engineers making architectural decisions.
Python Mocking Minimal Working Examples
A minimal working example (MWE) repository demonstrating Python mocking patterns with unittest.mock — covering patch, MagicMock, side_effect, and common gotchas. A practical reference for developers who know they should mock but keep forgetting the syntax.
Derek Sivers' Book Notes
Derek Sivers' collection of book notes — concise summaries with his personal takeaways from hundreds of books across business, psychology, philosophy, and music. One of the most useful curated book note collections on the internet.
Per Prompt: Weekly LLM and AI Digest
Per Prompt is a weekly digest of interesting news, tools, and developments in LLMs, GPT, and AI — a curation newsletter for staying current without following the firehose. Typical of the newsletter wave that emerged during 2023's rapid AI news cycle.
Timeline of Transformer Models and Large Language Models
A visual timeline of transformer models and large language models from 2017 through the present, mapping the lineage of architectures from the original Attention Is All You Need paper through GPT-4 and beyond. A useful reference for understanding model genealogy.
Awesome macOS Command Line
A comprehensive collection of macOS terminal commands and shell tricks — covering everything from hidden system preferences to networking, filesystem, and app configuration via the command line. The definitive reference for power users who prefer the terminal over System Preferences.
Machine Learning — Tom Mitchell (1997)
Tom Mitchell's 1997 Machine Learning textbook from CMU — the foundational academic reference that defined the field's core concepts before deep learning. Still assigned in graduate courses for its clear treatment of decision trees, Bayesian methods, and the canonical formal definition of machine learning.
Distill: Clear Explanations of Machine Learning
Distill.pub is a peer-reviewed ML journal focused on unusually clear explanations of machine learning concepts, using interactive visualizations alongside rigorous technical content. Went on hiatus in 2021 after 5 years, but the archive remains the gold standard for interactive ML pedagogy.
Transformer Models: An Introduction and Catalog
Xavier Amatriain's catalog of transformer models covers the full landscape of architecture variants and named models as of mid-2022 — encoder-only, decoder-only, encoder-decoder, and multimodal. A useful orientation map for the pre-ChatGPT era of rapid model proliferation.
Pentester's Promiscuous Notebook (PPN)
Pentester's Promiscuous Notebook (PPN) is a comprehensive personal pentesting reference by snovvcrash covering Active Directory attacks, post-exploitation, privilege escalation, and tool usage. One of the most practical field-guide style pentesting references available.
Best Linux Commands for Advanced Hardware and System Info
A reference list of Linux commands for querying hardware and system information — CPU, memory, disks, PCI devices, USB, BIOS. The kind of cheat sheet you bookmark once and pull up whenever you're debugging a server or setting up a new machine.
Butterick's Practical Typography
Butterick's Practical Typography is an online book by Matthew Butterick covering the rules of good type — fonts, spacing, line length, margins, emphasis — with a pragmatic, opinionated approach aimed at people who write but aren't designers. One of the best typography references available.
MLOps Toys: Curated List of Machine Learning Projects
MLOps Toys is a curated directory of ML projects and tools — organized by category (data, model training, serving, monitoring, etc.). A snapshot of the MLOps ecosystem circa 2022, useful as a reference map of what tools existed before the category consolidated.
The (Edited) Latecomer's Guide to Crypto
Molly White's annotated rebuttal of the New York Times' 'Latecomer's Guide to Crypto' — a line-by-line fact-check and counter-argument from one of crypto's most rigorous critics. Valuable counterpoint to promotional crypto coverage.
Nikita Voloboev's Knowledge Wiki
Nikita Voloboev's public knowledge wiki — a massive, open personal knowledge base covering programming, math, physics, tools, and philosophy. One of the most ambitious public examples of building a second brain as a living document.
Personal Security Checklist
Lissy93's personal security checklist on GitHub — 300+ categorized tips for protecting digital security and privacy. A practical reference for hardening accounts, devices, and browsing habits without becoming a full-time security researcher.
Library Genesis
Library Genesis (Libgen) is the largest shadow library on the internet — millions of books, academic papers, and articles freely accessible. The de facto resource when paywalls block access to knowledge.
An Intuitive Guide to Linear Algebra
BetterExplained's intuitive guide to linear algebra — builds geometric intuition for vectors, matrices, and transformations rather than drilling algebraic procedures. The right starting point before the formal treatment.
Patterns to Ace Coding Interviews
A pattern-based framework for coding interview preparation — reduces hundreds of LeetCode problems to ~20 recognizable patterns. Knowing which pattern applies is usually harder than solving once the pattern is identified.
1-toolbox.com: Curated Web Tools
A curated Notion-hosted toolbox of web tools — one of many 'tools I use' pages popular in the 2021-2022 Notion public pages era. Useful as a snapshot of what tools were popular in the No-Code and productivity community at the time.
MLOps Notebooks Syllabus
A Jupyter notebook curriculum for MLOps — covering model deployment, monitoring, CI/CD for ML, feature stores, and data versioning. Practical operational coverage for the gap between training a model and running it reliably in production.
Linux SysOps Handbook
A concise practical handbook for Linux system operations — covering process management, networking, storage, user administration, monitoring, and shell scripting. A solid on-the-job reference for engineers who need to administrate Linux servers.
Testing Distributed Systems
A curated list of resources on testing distributed systems — covering Jepsen, TLA+, chaos engineering, simulation testing, and formal verification. The most comprehensive reference starting point for this notoriously hard problem.
The Defiant's Definitive Guide to DeFi
The Defiant's comprehensive guide to decentralized finance — covering lending protocols, DEXs, yield farming, stablecoins, and how they interconnect. A well-structured entry point from one of the most trusted DeFi media publications.
smasher164/nas: Personal NAS Configuration
A personal NAS configuration repository (smasher164) — useful as a reference implementation for how someone configured their network-attached storage, likely using NixOS for reproducible system configuration. Bookmarked the same day as homelab, Headscale, and Netmaker notes.
Interviews.AI — Data Science Interview Preparation
A GitHub-hosted book of data science and ML interview preparation material aimed at quantitative candidates facing competitive ML engineer and data scientist interviews. Covers statistics, probability, ML theory, and coding challenges.
FIRE Flow Chart v4.2 — r/financialindependence
The r/financialindependence community's canonical FIRE flowchart (v4.2) — a decision tree for prioritizing savings and investment vehicles on the path to financial independence. Distills community consensus on order of operations for building wealth.
Data Science Project Lifecycle Infographic
A visual reference guide covering the full data science project lifecycle from problem framing through deployment. Practical one-pager for practitioners needing a structured reminder of pipeline phases.
TheSequence 2022 ML Reading List
TheSequence's 2022 ML reading list — curated books and papers for going deep on machine learning and AI. A practitioner-oriented guide to the foundational and cutting-edge literature in the field heading into 2022.
Python Packages of Interest — Tao of Mac
Rui Carmo's (Tao of Mac) curated list of Python packages of interest — a practitioner's annotated reference of useful, battle-tested Python libraries organized by domain. A complement to PyPI search for finding quality packages.
Web3 Is Going Just Great — Main Site
Molly White's Web3 Is Going Just Great — the canonical running timeline of crypto/NFT/web3 failures, scams, and disasters. First bookmarked when the site launched in December 2021, before it became widely cited.
Michael Bliss
Michael Bliss's personal portfolio site — a designer or creative professional whose work was worth bookmarking. Minimal context from the save; likely saved as a visual reference or creative inspiration.
Countere Magazine
Countere Magazine is an independent publication — saved as a reading/media reference. Low-context save; bookmarked as a publication worth following.
Arc'teryx Wiki: Prices, Ratings, and Specs
A community-compiled reference sheet for Arc'teryx gear — prices, ratings, and specs across the product line. Useful for navigating Arc'teryx's complex product hierarchy before making a purchase decision.
CSS and Web Development Cheat Sheets
A Twitter thread by @prathkum sharing CSS and web development cheat sheets — visual reference cards for CSS properties, selectors, flexbox, and grid. Saved as a quick visual reference for front-end concepts.
Scikit-Learn Cheat Sheet (2021)
A cheat sheet for scikit-learn's main API patterns — estimator interface, preprocessing, model selection, and pipelines. Useful for quickly recalling the consistent fit/predict/transform pattern across all sklearn objects.
Awesome CTO
A curated, opinionated resource list for Chief Technology Officers and engineering leaders, with emphasis on startup contexts. Covers hiring, technical vision, team dynamics, system design, and the transition from individual contributor to exec.
System Design Primer
Donnemartin's system-design-primer is the most starred GitHub repository for learning how to design large-scale systems — covers scalability, caching, databases, load balancing, and common interview patterns. The Anki flashcard deck makes it unusually retention-friendly.
Comprehensive Python Cheatsheet
A comprehensive, single-page Python reference covering everything from basic syntax to advanced features like decorators, generators, and metaclasses. Unusually complete and well-organized for a cheatsheet — more like a structured quick-reference manual.
10 Types of Regressions. Which One to Use?
A reference guide to 10 regression types and when to use each — covering linear, logistic, ridge, lasso, polynomial, and more. The kind of practical decision map that was useful before sklearn docs became as thorough as they are now.
git-flight-rules
A comprehensive guide by k88hudson covering what to do when things go wrong in git — structured as flight rules (NASA-style: if X happens, do Y). One of the most-starred git reference repos on GitHub.
Pattern Classification Data Glossary
Sebastian Raschka's data science and machine learning glossary from his pattern_classification GitHub repo — a community reference that grew into one of the most-linked ML terminology resources on GitHub. Useful for grounding conversations in shared vocabulary.
A Tour of Machine Learning Algorithms
Jason Brownlee's taxonomy of machine learning algorithms organized by learning style and similarity — a map of the algorithm space useful for orienting newcomers. The categorization gives a mental model for when to reach for which algorithm family.
20 Short Tutorials All Data Scientists Should Read and Practice
Data Science Central's curated list of 20 short tutorials spanning statistics, machine learning, SQL, R, and Python — designed as quick-read practice exercises. A community-sourced map of what foundational skills were considered essential for data scientists in 2014.
Univariate Distribution Relationship Chart
Lawrence Leemis's interactive chart showing the relationships between 76 univariate probability distributions — which distributions are special cases of others, how they connect via limits and parameter settings. An essential reference chart for anyone working seriously with probability distributions.
GitHub Gist via mkdown.com
A GitHub Gist (ID 8485599) rendered via mkdown.com — a service that rendered Gists as clean Markdown pages. Content unrecoverable; mkdown.com is no longer active.
Where Can I Find Large Datasets Open to the Public?
Quora thread on where to find large public datasets — a community-curated reference from 2014 when open data sources were less centralized than today. The answers pointed to government portals, academic repositories, and early Kaggle.
Togaware: One Page R — A Survival Guide to Data Science with R
Togaware's One Page R is a survival guide to data science with R — a dense, practical reference document covering the R ecosystem from data loading to modeling to visualization. The 'one page' is ironic; it's comprehensive.
A Practical Intro to Data Science — Zipfian Academy
Zipfian Academy's canonical post on what data science actually involves in practice — widely shared as a curriculum reference and one of the clearest articulations of the data scientist skill set in 2014. Clare Corthell called it 'still one of the best posts on the topic.'
Some Useful Machine Learning Libraries
A 2013-era survey of machine learning libraries across Python, R, Java, and C++ — a snapshot of the fragmented ML tooling landscape before scikit-learn and deep learning frameworks consolidated the field.
30 Python Language Features and Tricks You May Not Know About
Sahand Saba's tour of 30 Python language features that intermediate programmers often overlook — covers unpacking, generators, context managers, decorators, and more. A practical companion to reading the Python docs.
The Data Visualisation Catalogue
Severino Ribecca's Data Visualisation Catalogue — a reference library of chart types organized by function, with descriptions of when to use each. The go-to resource for choosing the right chart type for your data and communication goal.
Statistical Data Mining Tutorials — AutonLab (CMU)
Carnegie Mellon's AutonLab tutorial series on statistical data mining — covering Bayesian networks, clustering, density estimation, dimensionality reduction, and anomaly detection. A rigorous academic reference that was freely available online before MOOC culture normalized that.
Advanced R — Hadley Wickham
Hadley Wickham's Advanced R — the definitive guide to R's unusual object systems, functional programming patterns, environments, and performance profiling. Essential reading for anyone who wants to move from R user to R programmer.
List of All Content — Grokit Computer Science Review
Grokit's computer science review list — a curated index of CS fundamentals topics for interview preparation and self-study. Covers algorithms, data structures, systems, and theory with links to resources for each topic.
Advanced Data Structures in Python
Pypix overview of advanced data structures in Python beyond the built-in list/dict/set — covering heaps, tries, segment trees, and other structures that Python's standard library either implements partially or not at all.
On Undoing, Fixing, or Removing Commits in Git
Seth Robertson's choose-your-own-adventure guide to undoing git mistakes — a decision tree covering uncommitted changes, unpublished commits, and pushed history. The go-to reference when something has gone wrong in git.
Advantages of Different Classification Algorithms
Quora thread on the tradeoffs between classification algorithms — naive Bayes, SVM, decision trees, logistic regression, k-NN, and neural networks. A practical reference for choosing the right algorithm given your data characteristics and constraints.
How to Be a Programmer: A Short, Comprehensive, and Personal Summary
Robert Read's comprehensive guide to being a programmer — covering debugging, communication, teamwork, and judgment that textbooks leave out. Unusually honest about the human and organizational side of software development.
D3.js Examples Gallery (christopheviau.com/d3list)
Christophe Viau's curated gallery of D3.js examples — a comprehensive browsable index of D3 visualizations in 2013 when the official documentation lacked a searchable example library. The go-to reference for learning D3 by seeing what was possible.
Big Data Ecosystem Map (2013)
A map of the big data ecosystem as it existed in 2013 — an attempt to catalog the dozens of Hadoop-adjacent tools, databases, analytics platforms, and services that had emerged. A useful historical artifact of the big data vendor explosion before consolidation.
Data Science Book Resources (Data Science Central)
Data Science Central's curated page of data science books and reading materials circa 2013 — a community-aggregated list covering statistics, machine learning, programming, and big data. A snapshot of the self-education canon for the emerging data science field.
Machine Learning Cheat Sheet
Emanuel Ferm's machine learning cheat sheet — a compact reference covering the main supervised and unsupervised learning algorithms with notes on when to apply each. A quick-reference for practitioners who know the algorithms but want a memory aid for their properties.
Pandas and Python: Top 10
Manish Amde's top 10 Pandas techniques for data scientists — written in March 2013 when pandas was still a young library (0.10.x era). Captures the practical workflows that made pandas the dominant tool for tabular data manipulation in Python.
Datavisualization.ch Selected Tools
Datavisualization.ch's curated selection of data visualization tools — a 2013 reference for the ecosystem of charting libraries, mapping tools, and visualization frameworks available before the current consolidation. A snapshot of what practitioners were using.
RubyTune: Rails Performance Cheat Sheet
RubyTune's Rails performance cheat sheet — a condensed reference for profiling, benchmarking, and optimizing Rails applications. Saved when learning Rails performance optimization in early 2013.
A Programmer's Guide to Big Data: 12 Tools to Know
GigaOM's 2012 reference guide to 12 big data tools a programmer should know — covering Hadoop, Pig, Hive, HBase, Storm, and emerging alternatives. A snapshot of the Hadoop ecosystem at its peak complexity, before Spark simplified much of it.
Probability and Statistics Cookbook
Matthias Vallentin's probability and statistics cookbook — a dense reference PDF covering distributions, estimation, hypothesis testing, and Bayesian methods in concise formula sheets. The kind of reference you keep open in a second tab when doing statistical work.
Best Paper Awards Across CS Conferences
Jeff Huang's maintained list of best paper awards across 30+ top CS conferences (AAAI, ACL, CHI, SIGCOMM, etc.) — a curated entry point into landmark research across computer science sub-disciplines.
Bayes' Theorem: Conditional Probabilities
A Vassarstats reference page on Bayes' Theorem and conditional probabilities. The theorem is the backbone of Bayesian reasoning: updating prior beliefs with new evidence to get a posterior probability.
A Few Things to Remember While Coding in Python
A practical reference post on Python idioms and gotchas — covering mutable default arguments, list comprehensions, generators, decorators, and other patterns that distinguish experienced Python code from novice code.
A Set of Top Computer Science Blogs (2012)
A curated list of top computer science blogs from 2012, covering theory, systems, programming languages, and applied CS. A snapshot of where the serious technical discussion was happening before Twitter/X fragmented the discourse.