course-data-tools | course data for St. Olaf College
kandi X-RAY | course-data-tools Summary
kandi X-RAY | course-data-tools Summary
course-data-tools is a Python library. course-data-tools 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.
Here lie the tools for extracting course data from the St. Olaf SIS. There are three scripts: download.py, maintain-datafiles.py, and bundle.py. All of these tools expect the [course data][course-data] to be one folder up from the CWD, in ../course-data. These scripts require python3 >= 3.4, as well as beautifulsoup4, requests, xmltodict. The libraries are also specified in the Pipfile file, so a pip3 install pipenv and pipenv run $command. You can pass a mix of years and terms to download.py. A term is a year followed by 1-5 – 1 for fall, 5 for summer session 2. You can pass a mix of years and terms to bundle.py. A term is a year followed by 1-5 – 1 for fall, 5 for summer session 2. bundle.py outputs bundles into ../course-data/terms. maintain-datafiles.py takes no arguments and does one thing: it loads every course in ../course-data, and it collects lists of departments, gereqs, instructors, locations, times, and types into ../course-data/data-lists.
Here lie the tools for extracting course data from the St. Olaf SIS. There are three scripts: download.py, maintain-datafiles.py, and bundle.py. All of these tools expect the [course data][course-data] to be one folder up from the CWD, in ../course-data. These scripts require python3 >= 3.4, as well as beautifulsoup4, requests, xmltodict. The libraries are also specified in the Pipfile file, so a pip3 install pipenv and pipenv run $command. You can pass a mix of years and terms to download.py. A term is a year followed by 1-5 – 1 for fall, 5 for summer session 2. You can pass a mix of years and terms to bundle.py. A term is a year followed by 1-5 – 1 for fall, 5 for summer session 2. bundle.py outputs bundles into ../course-data/terms. maintain-datafiles.py takes no arguments and does one thing: it loads every course in ../course-data, and it collects lists of departments, gereqs, instructors, locations, times, and types into ../course-data/data-lists.
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Support
course-data-tools has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
course-data-tools 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 course-data-tools is current.
Quality
course-data-tools has no bugs reported.
Security
course-data-tools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
course-data-tools is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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course-data-tools 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.
Top functions reviewed by kandi - BETA
kandi has reviewed course-data-tools and discovered the below as its top functions. This is intended to give you an instant insight into course-data-tools implemented functionality, and help decide if they suit your requirements.
- Sanitize course data .
- Find time from a string .
- Clean the details .
- Load data from the site .
- Map a folder to a json file .
- Processes a course .
- Ensures all_courses are lists of dictionaries
- Compute the difference between two dictionaries .
- Return a list of prior revisions for the prior .
- Clean up markdown .
Get all kandi verified functions for this library.
course-data-tools Key Features
No Key Features are available at this moment for course-data-tools.
course-data-tools Examples and Code Snippets
No Code Snippets are available at this moment for course-data-tools.
Community Discussions
No Community Discussions are available at this moment for course-data-tools.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install course-data-tools
You can download it from GitHub.
You can use course-data-tools 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 course-data-tools 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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