allthekernels
soci
| allthekernels | soci | |
|---|---|---|
| 1 | 3 | |
| 75 | 1,342 | |
| - | 0.4% | |
| 0.0 | 8.7 | |
| over 1 year ago | 4 days ago | |
| Python | C++ | |
| MIT License | Boost Software License 1.0 |
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allthekernels
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An SQL Solution for Jupyter
there have been some efforts in the past to do that: https://github.com/minrk/allthekernels
soci
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Propagating an exception from another thread and up to the main program. No destructors allowed yet?
FWIW, I found this: https://github.com/SOCI/soci/issues/256
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c++ project
As regards to database access – if you don't have a framework that provides a database access layer, you'll need to select a database library. All databases have client libraries with C language bindings which can also be used from C++; many have native C++ bindings as well. Another choice would be to select a C++ library that supports multiple databases, such as SOCI.
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An SQL Solution for Jupyter
but we offer full support to SOCI meaning if these folks: https://github.com/SOCI/soci support it and the dependencies exist and work for 32bit, than yes.
What are some alternatives?
sparkmagic - Jupyter magics and kernels for working with remote Spark clusters
sqlite_modern_cpp - The C++14 wrapper around sqlite library
xeus-sql - Jupyter kernel for SQL databases
SQLite - Unofficial git mirror of SQLite sources (see link for build instructions)
Jupyter Scala - A Scala kernel for Jupyter
TileDB - The Universal Storage Engine
turbodbc - Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.
tntdb
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
LMDB++ - C++11 wrapper for the LMDB embedded B+ tree database library.
hiberlite - C++ ORM for SQLite
libmdbx - One of the fastest embeddable key-value ACID database without WAL. libmdbx surpasses the legendary LMDB in terms of reliability, features and performance.