wie-kan-nog-winnen | Soms staat je favoriete club er niet zo goed voor in de
kandi X-RAY | wie-kan-nog-winnen Summary
kandi X-RAY | wie-kan-nog-winnen Summary
wie-kan-nog-winnen is a Python library. wie-kan-nog-winnen has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However wie-kan-nog-winnen build file is not available. You can download it from GitHub.
Soms staat je favoriete club er niet zo goed voor in de Eredivisie en lijkt het alsof alles verloren is, op dat soort momenten is het belangrijk je te herinneren wat nog kan gebeuren. Daarom verteld wie-kan-nog-winnnen hoe hoog elke club dit seizoen nog kan eindigen (mocht alles perfect in hun voordeel gaan).
Soms staat je favoriete club er niet zo goed voor in de Eredivisie en lijkt het alsof alles verloren is, op dat soort momenten is het belangrijk je te herinneren wat nog kan gebeuren. Daarom verteld wie-kan-nog-winnnen hoe hoog elke club dit seizoen nog kan eindigen (mocht alles perfect in hun voordeel gaan).
Support
Quality
Security
License
Reuse
Support
wie-kan-nog-winnen has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
wie-kan-nog-winnen has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of wie-kan-nog-winnen is current.
Quality
wie-kan-nog-winnen has no bugs reported.
Security
wie-kan-nog-winnen has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
wie-kan-nog-winnen is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
wie-kan-nog-winnen releases are not available. You will need to build from source code and install.
wie-kan-nog-winnen has no build file. You will be need to create the build yourself to 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 wie-kan-nog-winnen and discovered the below as its top functions. This is intended to give you an instant insight into wie-kan-nog-winnen implemented functionality, and help decide if they suit your requirements.
- Get the list of logo urls .
- Finds the lowest place from a state .
- Finds the best place from the game .
- Calculate statistics for the game .
- Try to win the worst team wins .
- Find the lowest place from the game team .
- Returns a list of games with the given team .
- Returns the maximum number of games that this team belongs to .
- Return a string representation of the game .
- Find a simulation team by team name .
Get all kandi verified functions for this library.
wie-kan-nog-winnen Key Features
No Key Features are available at this moment for wie-kan-nog-winnen.
wie-kan-nog-winnen Examples and Code Snippets
No Code Snippets are available at this moment for wie-kan-nog-winnen.
Community Discussions
No Community Discussions are available at this moment for wie-kan-nog-winnen.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install wie-kan-nog-winnen
You can download it from GitHub.
You can use wie-kan-nog-winnen 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 wie-kan-nog-winnen 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 .
Find more information at:
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