References

A collection of useful resources, tools, and documentation.

NameDescriptionLinkCategoryTags
3Blue1Brown (YouTube)Intuitive visualizations of advanced math — linear algebra, calculus, probabilityView
Mathematics
math
youtube
asyncioLibrary for asynchronous I/O and concurrency in PythonView
Development
python
async
concurrence
DeltaTrend Trading (YouTube)Creator of quantpad.ai — quant trading, prop firms, and Monte Carlo simulationsView
Finance
quant
finance
trading
youtube
FrenchQuantQuantitative finance R&D toolsView
Finance
quant
finance
trading
blog
FrenchQuant (YouTube)Quant finance in French — microstructure, volatility, order flow, backtestingView
Finance
quant
finance
trading
youtube
getmonero.orgOfficial Monero project websiteView
Finance
crypto
finance
Hugging FaceModels, datasets, and Transformers library for NLP and MLView
Data Science
python
ml
docs
JupyterInteractive notebooks for data exploration and researchView
Tools
python
data
docs
KaTeXFast, lightweight client-side LaTeX math renderingView
Mathematics
math
web
docs
MatplotlibData visualization and plotting in PythonView
Data Science
python
data
analyse
MDN Web DocsWeb reference (HTML, CSS, JavaScript) maintained by MozillaView
Documentation
web
docs
neurotrader (YouTube)Data-driven algorithmic trading — strategies, indicators, and open-source PythonView
Finance
quant
finance
trading
youtube
python
Next.jsReact framework for web apps and static sitesView
Development
web
react
docs
NumPyNumerical computing and multidimensional arrays in PythonView
Data Science
python
data
math
pandasTabular data manipulation and analysisView
Data Science
python
data
analyse
Python DocumentationOfficial Python language documentationView
Documentation
python
docs
PyTorchDeep learning framework — tensors, autograd, and model trainingView
Data Science
python
ml
data
Quant GuildResources to master quantitative financeView
Finance
quant
finance
trading
Quant Guild (YouTube)Open-source quant finance courses — math, probability, pricing, and codingView
Finance
quant
finance
youtube
QuantConnectOpen-source platform for backtesting and deploying quant strategiesView
Finance
quant
finance
trading
docs
QuantPadAI IDE for quant trading — market data, backtests, and research agentView
Finance
quant
finance
trading
ReactUI library for composable interfacesView
Development
web
react
docs
Real PythonHigh-quality Python tutorials from basics to advanced topicsView
Documentation
python
docs
Reasonable DeviationsBlog by Robert Andrew Martin, quant trader at DE ShawView
Finance
quant
finance
blog
scikit-learnMachine learning library for PythonView
Data Science
python
ml
data
SciPyScientific algorithms: optimization, statistics, linear algebraView
Mathematics
python
math
data
SeabornStatistical data visualization built on MatplotlibView
Data Science
python
data
analyse
StatQuest (YouTube)Statistics and machine learning explained clearly by Josh StarmerView
Data Science
ml
data
youtube
math
statsmodelsStatistical models, time series, and inference in PythonView
Data Science
python
data
math
Tailwind CSSUtility-first CSS framework for interface designView
Development
web
docs
The Tactical Brief (YouTube)Quantitative finance — pedagogical videos (e.g. interpreting entropy)View
Finance
finance
trading
youtube
Tr8drAlgorithms, models, and markets — HFT, crypto, ML applied to financeView
Finance
quant
finance
trading
blog
ml
TypeScriptTyped superset of JavaScript — language documentationView
Development
web
docs
Wolfram MathWorldOnline encyclopedia of mathematical concepts and definitionsView
Mathematics
math
docs