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Status](https://github.com/pescadores/pescador/actions/workflows/ci.yml/badge.svg)](https://github.com/pescadores/pescador/actions/workflows/ci.yml)\n[![codecov](https://codecov.io/gh/pescadores/pescador/graph/badge.svg?token=aCgfizw6O5)](https://codecov.io/gh/pescadores/pescador)\n[![Documentation Status](https://readthedocs.org/projects/pescador/badge/?version=latest)](https://readthedocs.org/projects/pescador/?badge=latest)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.400700.svg)](https://doi.org/10.5281/zenodo.400700)\n\nPescador is a library for streaming (numerical) data, primarily for use in machine learning applications.\n\nPescador addresses the following use cases:\n\n- **Hierarchical sampling**\n- **Out-of-core learning**\n- **Parallel streaming**\n\nThese use cases arise in the following common scenarios:\n\n- Say you have three data sources `(A, B, C)` that you want to sample. \n  For example, each data source could contain all the examples of a particular category.\n\n  Pescador can dynamically interleave these sources to provide a randomized stream `D \u003c- (A, B, C)`.\n  The distribution over `(A, B, C)` need not be uniform: you can specify any distribution you like!\n\n- Now, say you have 3000 data sources, each of which may contain a large number of samples.  Maybe that's too much data to fit in RAM at once.\n\n  Pescador makes it easy to interleave these sources while maintaining a small `working set`.\n  Not all sources are simultaneously active, but Pescador manages the working set so you don't have to.\n\n- If loading data incurs substantial latency (e.g., due to accessing on-disk storage\n  or pre-processing), this can be a problem.\n  \n  Pescador can seamlessly move data generation into a background process, so that your main thread can continue working.\n\n\nWant to learn more? [Read the docs!](http://pescador.readthedocs.org)\n\n\nInstallation\n============\n\nPescador can be installed from PyPI through `pip`:\n```\npip install pescador\n```\nor with `conda` using the `conda-forge` channel:\n```\nconda install -c conda-forge pescador\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpescadores%2Fpescador","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpescadores%2Fpescador","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpescadores%2Fpescador/lists"}