git_expert | funny python script to convert your string to GitHub
kandi X-RAY | git_expert Summary
kandi X-RAY | git_expert Summary
git_expert is a Python library. git_expert has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However git_expert build file is not available. You can download it from GitHub.
GitHub takes the input of the string you are considering and gives you a csv file, including the days you have to contribute. In fact, GitExpert helps you to contribute to GitHub with a specific and regular schedule so that at the end of a certain period of time (for example, one year) your contribution map becomes the text of your choice.
GitHub takes the input of the string you are considering and gives you a csv file, including the days you have to contribute. In fact, GitExpert helps you to contribute to GitHub with a specific and regular schedule so that at the end of a certain period of time (for example, one year) your contribution map becomes the text of your choice.
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Quality
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Support
git_expert has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
git_expert has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of git_expert is current.
Quality
git_expert has no bugs reported.
Security
git_expert has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
git_expert 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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git_expert releases are not available. You will need to build from source code and install.
git_expert 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 git_expert and discovered the below as its top functions. This is intended to give you an instant insight into git_expert implemented functionality, and help decide if they suit your requirements.
- Return the matrix representation of the matrix
- Return the r coordinates
- Return the h
- Return the i
- String representation of the Jacobian
- Return the k - axis k
- L coordinate system
- M coordinate system
- Return an array of booleans
- Return q - coordinates
- List of coordinates
- String representation of the grid
- String representation of u
- String representation of the mesh
- Return the W matrix
- String representation of x
- String of the y - axis
- String of the z - axis
- Return the space of the string
- Return a list of love
Get all kandi verified functions for this library.
git_expert Key Features
No Key Features are available at this moment for git_expert.
git_expert Examples and Code Snippets
No Code Snippets are available at this moment for git_expert.
Community Discussions
No Community Discussions are available at this moment for git_expert.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install git_expert
You can download it from GitHub.
You can use git_expert 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 git_expert 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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