python-algorithms | Algorithms implemented in Python | Learning library

 by   laurentluce Python Version: Current License: No License

kandi X-RAY | python-algorithms Summary

kandi X-RAY | python-algorithms Summary

python-algorithms is a Python library typically used in Tutorial, Learning, Example Codes applications. python-algorithms has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

The purpose of this library is to help you with common algorithms like:.
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            kandi-support Support

              python-algorithms has a low active ecosystem.
              It has 258 star(s) with 120 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 569 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-algorithms is current.

            kandi-Quality Quality

              python-algorithms has 0 bugs and 8 code smells.

            kandi-Security Security

              python-algorithms has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-algorithms code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-algorithms does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              python-algorithms 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.
              Installation instructions are not available. Examples and code snippets are available.
              python-algorithms saves you 279 person hours of effort in developing the same functionality from scratch.
              It has 675 lines of code, 85 functions and 13 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-algorithms and discovered the below as its top functions. This is intended to give you an instant insight into python-algorithms implemented functionality, and help decide if they suit your requirements.
            • Return a list of the substring matching the given text
            • Calculate the hash value of a string
            • Find the substring matching the given pattern
            • Compute the prefix function of a sequence
            Get all kandi verified functions for this library.

            python-algorithms Key Features

            No Key Features are available at this moment for python-algorithms.

            python-algorithms Examples and Code Snippets

            Generates a CK4 function for a set of functions .
            pythondot img1Lines of Code : 125dot img1no licencesLicense : No License
            copy iconCopy
            def CK4(funcs, x0, y0, step, xmax, nonODEfunc=None,
                    lower_bound=None, upper_bound=None,
                    overflow=1e100, zerodivision=1e100):
                '''
                Generator to integrate a system of ODEs, y' = f(x, y), using fourth 
                order Cash-Karp method.
              
            Prepare the population control control .
            pythondot img2Lines of Code : 30dot img2no licencesLicense : No License
            copy iconCopy
            def prepopulation_control(self):
                    """
                    Function to trigger population control events before mating event in 
                    each generation (For example, to simulate pre-puberty death). B{This 
                    function may be over-ridden by the inheri  
            check if y is lower bound
            pythondot img3Lines of Code : 28dot img3no licencesLicense : No License
            copy iconCopy
            def boundary_checker(y, boundary, type):
                '''
                Private function - called by ODE solvers to perform boundary checking 
                of variable values and reset them to specific values if the original 
                values fall out of the boundary values.
                
                 

            Community Discussions

            Trending Discussions on python-algorithms

            QUESTION

            Files deleted after push in GitHub remote repository
            Asked 2020-Feb-16 at 14:00

            I have my first Git repository that I have created online named myName/python-algorithms.

            It was containing many Python scripts. I tried to add a file test.py from my local Ubuntu terminal with the commands:

            ...

            ANSWER

            Answered 2020-Feb-15 at 20:05

            So there are a few ways to fix an undesired commit. It looks like maybe your local git repo didn't have all the info in your remote repo, which caused your push to overwrite it. In your terminal, use git log to look at the commit history for your local git. If it only lists your test commit, we'll need to find the last good commit (where all the files still existed) a different way.

            Go to your github and navigate to your commit history. You should see a commit prior to the last push "some init msg" that overwrote your other files. It will have a hex identifier (in blue) on the right. Copy it!

            From your git terminal, you want to use the command: git checkout copiedhex#

            This will copy to your local repo the version with all the files. However, you'll be in a detached HEAD state, and should get a message to that effect. You'll want to make this into a new branch by using: git checkout -b some_new_branch_name Then you can proceed as normal (merge it with master or keep working separately, push etc)

            More helpful info here: https://www.atlassian.com/git/tutorials/undoing-changes

            Hope that helps!

            Source https://stackoverflow.com/questions/60241986

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install python-algorithms

            You can download it from GitHub.
            You can use python-algorithms 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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            https://github.com/laurentluce/python-algorithms.git

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            gh repo clone laurentluce/python-algorithms

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            git@github.com:laurentluce/python-algorithms.git

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