simulation-demo | Rapid web app prototyping with xlwings
kandi X-RAY | simulation-demo Summary
kandi X-RAY | simulation-demo Summary
simulation-demo is a Python library. simulation-demo 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.
This demo shows how Excel with xlwings can be used to create rapid prototypes for web apps. The code for the actual simulation (simulation.py) is used unaltered both by the xlwings app (xlwings_app.py & simulation.xlsm) and the web app (web_app.py & the folders static and templates). You need to have the Python packages installed as listed in requirements.txt. You also need the xlwings Excel add-in installed and have a reference set to xlwings under VBA Editor > Tools > References...
This demo shows how Excel with xlwings can be used to create rapid prototypes for web apps. The code for the actual simulation (simulation.py) is used unaltered both by the xlwings app (xlwings_app.py & simulation.xlsm) and the web app (web_app.py & the folders static and templates). You need to have the Python packages installed as listed in requirements.txt. You also need the xlwings Excel add-in installed and have a reference set to xlwings under VBA Editor > Tools > References...
Support
Quality
Security
License
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Support
simulation-demo has a low active ecosystem.
It has 21 star(s) with 10 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
simulation-demo has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of simulation-demo is current.
Quality
simulation-demo has 0 bugs and 0 code smells.
Security
simulation-demo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
simulation-demo code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
simulation-demo is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
simulation-demo 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.
simulation-demo saves you 50 person hours of effort in developing the same functionality from scratch.
It has 132 lines of code, 4 functions and 6 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed simulation-demo and discovered the below as its top functions. This is intended to give you an instant insight into simulation-demo implemented functionality, and help decide if they suit your requirements.
- Run a simulation
- Simulate a simulation
Get all kandi verified functions for this library.
simulation-demo Key Features
No Key Features are available at this moment for simulation-demo.
simulation-demo Examples and Code Snippets
No Code Snippets are available at this moment for simulation-demo.
Community Discussions
No Community Discussions are available at this moment for simulation-demo.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install simulation-demo
You can download it from GitHub.
You can use simulation-demo 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 simulation-demo 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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