pymarc | process MARC records from Python | Analytics library
kandi X-RAY | pymarc Summary
kandi X-RAY | pymarc Summary
pymarc is a Python library typically used in Analytics, Numpy applications. pymarc has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pymarc has a Non-SPDX License. You can download it from GitHub.
process MARC records from Python
process MARC records from Python
Support
Quality
Security
License
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Support
pymarc has a low active ecosystem.
It has 243 star(s) with 102 fork(s). There are 40 watchers for this library.
It had no major release in the last 12 months.
There are 15 open issues and 43 have been closed. On average issues are closed in 260 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pymarc is v3.2.0
Quality
pymarc has 0 bugs and 0 code smells.
Security
pymarc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pymarc code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pymarc has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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pymarc releases are available to install and integrate.
Build file is available. You can build the component from source.
It has 19353 lines of code, 256 functions and 28 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pymarc and discovered the below as its top functions. This is intended to give you an instant insight into pymarc implemented functionality, and help decide if they suit your requirements.
- Decode a MARC record
- Convert marc8 to unicode
- Add one or more fields
- Translates a marc8 string
- Return the SUDoc field
- Formats the field
- Apply a function to each XML file
- Parse XML file
- Applies the pymarc configuration to the distribution
- Write a header to a file
- Set the cataloging form
- Close the current document
- Set multipart resource record
- Set character coding scheme
- Set base address
- Map marc8 bytes to unicode
- Close the file
- Set the length of a field
- Parse an XML file
- Set the length of the starting character of the leader
- Generates a license
- Get a list of the contributors
- End of the MARC_XML namespace
- Return the MARC representation as a string
- Set the length of the implementation - defined field
- Return the signature as a string
Get all kandi verified functions for this library.
pymarc Key Features
No Key Features are available at this moment for pymarc.
pymarc Examples and Code Snippets
No Code Snippets are available at this moment for pymarc.
Community Discussions
Trending Discussions on pymarc
QUESTION
Trouble reading MARC data using MARCReader() and pymarc
Asked 2018-Jan-04 at 12:16
So I am trying to teach myself python and pymarc for a school project I am working on. I have a sample marc file and I am trying to read it using this simple code:
...ANSWER
Answered 2018-Jan-04 at 12:16You can set the python environment to support UTF-8 and get record as a dictionary.
Try:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pymarc
You can download it from GitHub.
You can use pymarc 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.
You can use pymarc 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
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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