Key Concepts

Python Metaclasses Cheat Sheet

Covers how Python classes are created via type, writing custom metaclasses, and when to reach for simpler alternatives instead.

C# Delegates & Events Cheat Sheet

Covers delegates, multicast delegates, the built-in Func, Action, and Predicate types, and the C# event pattern for publish-subscribe notifications.

C# Entity Framework Cheat Sheet

Covers Entity Framework Core basics: DbContext, DbSet, CRUD operations, eager loading with Include, and managing schema migrations from the CLI.

C# Records & Pattern Matching Cheat Sheet

Explains C# records for immutable value-based types, the with expression, and modern pattern matching including property and positional patterns.

Recursion Cheat Sheet

Explains recursive function structure, base and recursive cases, the call stack, memoization, and recursion versus iteration tradeoffs.

Linear Regression Cheat Sheet

A reference for linear regression covering scikit-learn implementation, the normal equation, regularized variants, and key statistical assumptions to check.

Logistic Regression Cheat Sheet

A cheat sheet for logistic regression covering scikit-learn usage, the sigmoid function, log loss, multiclass classification, and coefficient interpretation.

Decision Trees Cheat Sheet

A reference for decision trees covering scikit-learn classifiers and regressors, splitting criteria like Gini and entropy, pruning, and feature importance.

Random Forest Cheat Sheet

A cheat sheet for Random Forest covering bagging, feature randomness, out-of-bag scoring, hyperparameter tuning, and feature importance in scikit-learn.

Gradient Boosting Cheat Sheet

A reference for gradient boosting covering XGBoost, LightGBM, and scikit-learn implementations, plus learning rate tuning, early stopping, and regularization.

Support Vector Machines Cheat Sheet

A cheat sheet for Support Vector Machines covering kernels, margin maximization, the C and gamma hyperparameters, and scikit-learn usage.

K-Means Clustering Cheat Sheet

A reference for K-Means clustering covering scikit-learn implementation, centroid initialization, the elbow method, and silhouette scoring for choosing k.

K-Nearest Neighbors Cheat Sheet

A cheat sheet for K-Nearest Neighbors covering classification and regression in scikit-learn, distance metrics, choosing k, and scalability considerations.

Naive Bayes Cheat Sheet

A reference for Naive Bayes covering Gaussian, Multinomial, and Bernoulli variants in scikit-learn, Bayes' theorem, and Laplace smoothing.

Principal Component Analysis Cheat Sheet

A cheat sheet for Principal Component Analysis covering scikit-learn implementation, explained variance, choosing component counts, and reconstruction error.

Neural Networks Basics Cheat Sheet

A reference for foundational neural network concepts covering feedforward architectures in PyTorch and Keras, backpropagation, activations, and regularization.

Convolutional Neural Networks Cheat Sheet

A cheat sheet for Convolutional Neural Networks covering PyTorch and Keras implementations, convolution and pooling operations, and transfer learning.

Recurrent Neural Networks Cheat Sheet

A reference for Recurrent Neural Networks covering LSTM and GRU implementations, sequence padding, vanishing gradients, and bidirectional architectures.

SQL for Data Science Cheat Sheet

Reference for SQL aggregations, window functions, joins, and CTEs commonly used to analyze and reshape data during exploratory data science work.

Pandas Advanced (GroupBy & Pivot Tables) Cheat Sheet

Advanced groupby aggregations, pivot_table reshaping, and MultiIndex manipulation techniques for summarizing and restructuring data in pandas.

Pandas Time Series Cheat Sheet

Covers datetime indexing, resampling, rolling windows, and shifting operations for analyzing and transforming time series data in pandas.

ggplot2 Cheat Sheet

Reference for ggplot2's grammar of graphics, common geoms, faceting, and theming used to build layered statistical visualizations in R.

dplyr & tidyr Cheat Sheet

Covers dplyr's data manipulation verbs, table joins, and tidyr's pivot_longer/pivot_wider reshaping functions for tidy data workflows.

Static Site Generation Cheat Sheet

Covers pre-building HTML at build time with SSG, Next.js static generation APIs, deployment pipelines, and incremental regeneration.