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kandi X-RAY | Convert-schedule-to-pdf Summary
kandi X-RAY | Convert-schedule-to-pdf Summary
Convert-schedule-to-pdf is a Python library. Convert-schedule-to-pdf has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Run main.py, then enter the element you want your schedule based on (1 : group, 2 : staff, 3 : room) or refresh the list of schedule (refresh : 4) or exit the program (quit : 5). If you chose to get a schedule based on room or staff (option 3 or 4), the program will get the schedule of every group and then you will have to specify a room/professor. The program will filter every schedule with your choice and merge everything together. Once you have created a schedule based on a room/professor, the program will not refresh every schedule unless you refresh it with option 4 in the menu. Then the program will create a xlsx file and a pdf file from it. It will open the pdf file automatically.
Run main.py, then enter the element you want your schedule based on (1 : group, 2 : staff, 3 : room) or refresh the list of schedule (refresh : 4) or exit the program (quit : 5). If you chose to get a schedule based on room or staff (option 3 or 4), the program will get the schedule of every group and then you will have to specify a room/professor. The program will filter every schedule with your choice and merge everything together. Once you have created a schedule based on a room/professor, the program will not refresh every schedule unless you refresh it with option 4 in the menu. Then the program will create a xlsx file and a pdf file from it. It will open the pdf file automatically.
Support
Quality
Security
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Support
Convert-schedule-to-pdf has a low active ecosystem.
It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Convert-schedule-to-pdf has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Convert-schedule-to-pdf is current.
Quality
Convert-schedule-to-pdf has no bugs reported.
Security
Convert-schedule-to-pdf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Convert-schedule-to-pdf 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.
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Convert-schedule-to-pdf 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.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Convert-schedule-to-pdf
Convert-schedule-to-pdf Key Features
No Key Features are available at this moment for Convert-schedule-to-pdf.
Convert-schedule-to-pdf Examples and Code Snippets
No Code Snippets are available at this moment for Convert-schedule-to-pdf.
Community Discussions
No Community Discussions are available at this moment for Convert-schedule-to-pdf.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Convert-schedule-to-pdf
You can download it from GitHub.
You can use Convert-schedule-to-pdf 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 Convert-schedule-to-pdf 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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