##1. Description The main goal of pyDatalog is to introduce Datalog as a Domain Specific Language (DSL) inside Python syntax and programs.

###1.1 pyDatalog

pyDatalog adds the logic programming paradigm to Python's toolbox, in a pythonic way.
You can now run logic queries on databases or Python objects, and use logic clauses to define python classes. In particular, pyDatalog can be used as a query language:

• it can perform multi-database queries (from memory datastore, 11 relational databases, and noSQL database with appropriate connectors)
• it is more expressive than SQL, with a cleaner syntax;
• it facilitates re-use of SQL code snippet (e.g. for frequent joins or formula);

###1.2 Datalog

Datalog is a truly declarative language derived from Prolog, with strong academic foundations. It complements Python very well for:

• managing complex sets of related information (e.g. in data integration or the semantic web).
• simulating intelligent behavior (e.g. in games),
• performing recursive algorithms (e.g. in network protocol, code and graph analysis, parsing)
• solving discrete constraint problems.

Datalog excels at accelerated development : Datalog programs are often shorter than their Python equivalent, and Datalog statements can be specified in any order, as simply as formula in a spreadsheet.