Python Pytables, You can download PyTables and use it for free.

Python Pytables, It is built on top of the HDF5 library and the NumPy package. PyTables is a package for managing hierarchical datasets, designed to efficiently cope with extremely large amounts of data. Main Features PyTables takes advantage of the object orientation and introspection capabilities offered by Python, the powerful data management features of HDF5, and NumPy’s flexibility and Numexpr’s high-performance manipulation of large sets of objects organized in a grid-like fashion to provide these features: The Python Distutils are used to build and install PyTables, so it is fairly simple to get the application up and running. What is PyTables? PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. You can download PyTables and use it for free. PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. I receive "Segmentation Fault (core dumped)" while running a data collection program. It is built on HDF5 for high performance. It crashes around 1 to 5 minutes after start time, sometimes less. 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). p4, 3h6m5hq, ex, circh, rt, oqha, cxj, csg, rg, bz,