The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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📗 SheetJS Spreadsheet Data Toolkit -- New home https://git.sheetjs.com/SheetJS/sheetjs
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
Distributed stream processing engine in Rust
Nessie: Transactional Catalog for Data Lakes with Git-like semantics
Faker is a pure Elixir library for generating fake data.
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
JSON-stat GitHub Repository
Generate realistic IoT test data and send it via MQTT, HTTP, or TCP.