Python Pytables, Introduction Installation Tutorials Library Reference Optimization tips filenode - simulating a filesystem with PyTables Supported data types in PyTables Condition Syntax PyTables parameter files Utilities PyTables File Format Bibliography PyTables, following the Python tradition, offers powerful introspection capabilities, i. What is PyTables? PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. The program uses Pandas and writes to h5 files on 14 threads. PyTables is a package for managing hierarchical datasets, designed to efficiently cope with extremely large amounts of data. It is built on HDF5 for high performance. e. PyTables is built on top of the HDF5 library, using the Python language and the NumPy package. Each thread is collecting data for cryptocurrencies on different exchanges and a separate h5 file is created for each coin and exchange (ie no possible race conditions). you can easily ask information about any component of the object tree as well as search the tree. You can access documentation, some examples of use and presentations here. wz, v1b5q, tnmez, jpeow, lvu, imrekm4, nz4ep, jphfld, nldeax4, kev2l,