Showing 5 open source projects for "ms sql module for python"

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  • 1
    SPyQL

    SPyQL

    Query data on the command line with SQL-like SELECTs powered by Python

    SQL with Python in the middle. SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL. Basically, data can come from any command that outputs text :-). More, data can be generated by a Python expression! And since...
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  • 2
    QAL

    QAL

    Query Abstraction Layer

    Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. ...
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  • 3
    Angosso

    Angosso

    Performance and stability

    Develop: domain secure, and performing secure Domain Name System (DNS) dynamic updates. Domain Name System Security Extensions Servlet API Package The javax.servlet.http package contains a number of classes and interfaces that describe and define the contracts between a servlet class running under the HTTP protocol and the runtime environment provided for an instance of such a class by a conforming servlet container.
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  • 4
    y_serial: warehouse Py objects w/ SQLite
    Serialization + persistance : in a few lines of code, compress and annotate Python objects into SQLite; then later retrieve them chronologically by keywords without any SQL. Most useful "standard" module for a database to store schema-less data.
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    DWR eDiscovery allows legal professionals to process, analyze, review, and produce documents that are relevant to litigation and other legal disclosure obligations. Our tools allow easy ingestion and analysis of client and opposing party documents using a comprehensive set of document review features including AI search, keyword search, keyword highlighting, metadata filtering, marking documents, privilege log management, redactions, and a range of analysis tools to help users best understand their document corpus.
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  • 5
    Python library provides the briefest way to construct SQL queries in JSON form. Simple example: ('*','table',id:[1,3]) is Select * from table where id in [1,3]. Sqlalchemy patch module is provided to extend sqlalchemy with convenient jsonSQL meth
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