spyder-docs | Documentation for Spyder , the Scientific Python
kandi X-RAY | spyder-docs Summary
kandi X-RAY | spyder-docs Summary
spyder-docs is a Python library typically used in Institutions, Learning, Administration, Public Services applications. spyder-docs has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However spyder-docs build file is not available. You can download it from GitHub.
This repository contains the documentation for Spyder, the Scientific Python Development Environment. You can view the live docs for current and past Spyder versions at docs.Spyder-IDE.org. For more information about Spyder itself, please see our website and the main repo.
This repository contains the documentation for Spyder, the Scientific Python Development Environment. You can view the live docs for current and past Spyder versions at docs.Spyder-IDE.org. For more information about Spyder itself, please see our website and the main repo.
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Quality
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spyder-docs has a low active ecosystem.
It has 27 star(s) with 170 fork(s). There are 13 watchers for this library.
It had no major release in the last 6 months.
There are 9 open issues and 93 have been closed. On average issues are closed in 306 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of spyder-docs is current.
Quality
spyder-docs has 0 bugs and 0 code smells.
Security
spyder-docs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
spyder-docs code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
spyder-docs 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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spyder-docs releases are not available. You will need to build from source code and install.
spyder-docs has no build file. You will be need to create the build yourself to build the component from source.
It has 991 lines of code, 19 functions and 11 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed spyder-docs and discovered the below as its top functions. This is intended to give you an instant insight into spyder-docs implemented functionality, and help decide if they suit your requirements.
- Compute the optimal weights for a portfolio
- Compute the portfolio portfolio portfolio
- Compute portfolio return
- Compute the volatility of a portfolio
- Generate redirect paths
- Generate redirect text
- Generate an argument parser
- Add tag to current branch
- Copy source directory to target directory
- Calculate the Sharpe ratio of volatility
- Compute the exp portfolio
- Compute a portfolio Sharpe portfolio
Get all kandi verified functions for this library.
spyder-docs Key Features
No Key Features are available at this moment for spyder-docs.
spyder-docs Examples and Code Snippets
No Code Snippets are available at this moment for spyder-docs.
Community Discussions
No Community Discussions are available at this moment for spyder-docs.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spyder-docs
You can download it from GitHub.
You can use spyder-docs 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 spyder-docs 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.
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