open-syllabus-project | What can be learned from 1M college course syllabi

by davidmcclure Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | open-syllabus-project Summary

open-syllabus-project is a Python library. open-syllabus-project has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Welcome! The Open Syllabus Project is an effort to see what can be learned by analyzing the contents of a corpus of over 1 million college course syllabi. Here you'll find:. Head over to osp-deploy for a set of Ansible playbooks for deploying to Vagrant / EC2.

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Quality

Security

License

Reuse

Support

open-syllabus-project has a low active ecosystem.

It has 200 star(s) with 12 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of open-syllabus-project is current.

Quality

open-syllabus-project has 0 bugs and 0 code smells.

Security

open-syllabus-project has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

open-syllabus-project code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

open-syllabus-project is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

open-syllabus-project 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.

open-syllabus-project saves you 3104 person hours of effort in developing the same functionality from scratch.

It has 6684 lines of code, 553 functions and 331 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed open-syllabus-project and discovered the below as its top functions. This is intended to give you an instant insight into open-syllabus-project implemented functionality, and help decide if they suit your requirements.

Create an institution
Create index
Search text using regex
Make a regular expression
Ingest Field objects
Clean a field name
Parse a comma separated string
Return a filtered list of abbreviation
Compute the ranking for each candidate
Generate an iterator over all records
List of authors
Ingest USUS data
Generate a list of profiles
Ingest World object
Queue jobs
Get publication date
Generate a color
Truncate text fragments to a CSV file
Generate random documents
Returns the pagination of the article
Writes control number to file
Generate a stream of document documents
Generator that yields all documents from Elasticsearch
Return the contents of the file
Deduplicate the text
Validate the selected items

Get all kandi verified functions for this library.

open-syllabus-project Key Features

No Key Features are available at this moment for open-syllabus-project.

open-syllabus-project Examples and Code Snippets

No Code Snippets are available at this moment for open-syllabus-project.

Community Discussions

No Community Discussions are available at this moment for open-syllabus-project.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install open-syllabus-project

You can download it from GitHub.
You can use open-syllabus-project 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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