curds2 | Python DBAPI 2.0 compatible Datascope module

by NVSeismoLab Python Version: Current License: No License

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kandi X-RAY | curds2 Summary

curds2 is a Python library. curds2 has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

The purpose of this module is to abstract processing programs from any specific database backend. See the [PEP 249 — Python Database API Specification v2.0] for details on the specifications, and the python class, function and method docstrings for details on the implementation.

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Support

curds2 has a low active ecosystem.

It has 0 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

curds2 has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of curds2 is current.

Quality

curds2 has no bugs reported.

Security

curds2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

curds2 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

curds2 releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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curds2 Key Features

No Key Features are available at this moment for curds2.

curds2 Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install curds2

You can download it from GitHub.
You can use curds2 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Datascope has no NULL type, each field defines its own value which compares equal to NULL. Therefore, NULLs must be explicitly looked up and converted, at a slight performance overhead. This can be enabled for this module by setting the Cursor attribute CONVERT_NULL to True. All fields in any rows returned the the fetch* methods will contain a python None for any NULL value.

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