data
Practical resources about data for software engineers.
86 results
Understanding Data Processing in Software Engineering
Every application eventually deals with data — parsing user input, serializing objects for APIs, validating form submissions, or transforming records between formats. Getting data handling right is what separates fragile scripts from production-grade systems.
This collection covers practical recipes and patterns for working with JSON, CSV, XML, YAML, and custom formats. You will find copy-paste solutions for common tasks like flattening nested objects, sanitizing user input, generating slugs, and formatting dates across Python, Java, and JavaScript.
Vector Databases in Practice: Embeddings & Similarity Search
Build your first vector search pipeline: embeddings, ANN indexes, similarity search with pgvector...
A/B Testing Guide: Design, Statistics and Pitfalls
A practical guide to A/B testing: hypothesis design, sample sizing, statistical analysis, tooling,...
AWS Basics — Core Services for Developers
A practical guide to AWS core services for developers: compute, storage, databases, networking, and...
Azure Basics — Core Services for Developers
A practical guide to Microsoft Azure core services for developers: compute, storage, databases,...
GCP Basics: Core Services for Developers
A practical guide to Google Cloud Platform core services for developers: compute, storage,...
GDPR Compliance — A Practical Guide for Developers
A developer-focused guide to GDPR compliance: data subject rights, lawful basis, data minimization,...
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