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SQLAlchemy is an open-source Python library that provides an SQL toolkit (called "SQLAlchemy Core") and an Object Relational Mapper (ORM) for database interactions. It allows developers to work with databases using Python objects, enabling efficient and flexible database access.
MonetDB/e is the embedded version of the open source MonetDB SQL column store engine. Available for C, C++, Java (JDBC) and Python. MonetDB License, based on MPL 2.0. The predecessor MonetDBLite (for R, Python and Java) is no longer maintained. It's replaced by MonetDB/e.
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
[dubious – discuss] Inversely, a language may be designed for general use but only applied in a specific area in practice. [3] A programming language that is well suited for a problem, whether it be general-purpose language or DSL, should minimize the level of detail required while still being expressive enough in the problem domain. [ 4 ]
The SQL market referred to this as static SQL, versus dynamic SQL which could be changed at any time, like the command-line interfaces that shipped with almost all SQL systems, or a programming interface that left the SQL as plain text until it was called. Dynamic SQL systems became a major focus for SQL vendors during the 1980s.
Java, SQL, Python, C++, R: Massive parallel processing (MPP) database incorporating patented engines supporting native SQL, MapReduce, and graph data storage and manipulation; provides a set of analytic function libraries and data visualization [43] TerminusDB: 11.0.6: 2023-05-03 [44] Apache 2: Prolog, Rust, Python, JSON-LD
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Core Python Programming is a textbook on the Python programming language, written by Wesley J. Chun. The first edition of the book was released on December 14, 2000. [1] The second edition was released several years later on September 18, 2006. [2] Core Python Programming is mainly targeted at higher education students and IT professionals. [3]