Results for “annex-viii”

Process and analyze large tabular datasets (billions of rows) that exceed available RAM using lazy, out-of-core DataFrames with fast aggregations, visualization, and machine learning integration.

Out-of-core tabular analytics with Vaex for billion-row datasets that exceed RAM — lazy evaluation, fast aggregations, big-data visualization, and ML on a single machine. Use when working with large CSV/HDF5/Arrow/Parquet files, computing fast statistics on massive datasets, visualizing big data, or building ML pipelines that do not fit in memory. For distributed clusters prefer dask; for in-memory speed prefer polars. Part of the AlterLab Academic Skills suite.

seven API skill. Use when working with seven for analytics, balance, contacts. Covers 51 endpoints.

Process and analyze tabular datasets larger than RAM using lazy, out-of-core DataFrames, with fast aggregations, visualization, and machine learning integration.

Plan and execute safe Convex schema and data migrations using the widen-migrate-narrow pattern and the @convex-dev/migrations component.

Build and manage Convex backends: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Design schemas, write TypeScript functions, and manage real-time subscriptions, auth, file storage, scheduling, and deployment for Convex backends.

Design schemas, write TypeScript functions, and manage real-time data, auth, storage, scheduling, and deployment for Convex backends.

Design schemas, write TypeScript queries/mutations/actions, and set up real-time subscriptions, auth, file storage, scheduling, and deployment for Convex backends.

Build reactive backends with Convex: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.