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Interactive tools for Python developers, ML engineers, and system designers. No signup required.
Simple, conditional, and Bayesian probability with step-by-step solutions. Foundation for ML classification.
Build cron schedules for Celery, APScheduler, and crontab. Preview next 5 runs before deploying.
Single-variable derivatives, indefinite integrals, and partial derivatives with fractional exponents.
Dot product, cosine similarity, and Euclidean distance for embeddings. Used in semantic search, recommendations, and RAG.
Quick reference for REST API status codes. Know when to use 400 vs 422, 401 vs 403.
Debug API responses and config files. Format, validate, and explore nested JSON with tree view.
Multiply, add, subtract, transpose matrices and calculate determinants with step-by-step solutions.
Sample and population statistics with step-by-step breakdown. Essential for data analysis and ML preprocessing.
Calculate precision, recall, F1-score, MCC from your sklearn confusion matrix. Debug classification models.
Binomial, Poisson, and Geometric probability distributions with step-by-step solutions.
Test re.findall(), re.search(), re.match() with live preview. Common patterns for log parsing, data extraction, and validation.
Practice joins, aggregations, and subqueries. In-browser SQLite with sample e-commerce database.
Debug datetime.strftime() and strptime() format codes. Stop guessing whether %m is month or minute.
Calculate TF-IDF scores for document retrieval. Foundation of RAG systems and search engines.
Visualize BPE tokenization used by GPT and LLMs. Understand why "123" becomes multiple tokens.
Convert timestamps for datetime operations. Essential for logs, APIs, and time-series data.