python-algorithms | Collection of algorithm implementations from various sources plus own creations | Learning library

by stefan-jansen Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

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 a Permissive License and it has low support. However python-algorithms build file is not available. You can download it from GitHub.

Collection of algorithm implementations from various sources plus own creations.

Support

Quality

Security

License

Reuse

Support

python-algorithms has a low active ecosystem.

It has 121 star(s) with 82 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

python-algorithms has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-algorithms is current.

Quality

python-algorithms has 0 bugs and 0 code smells.

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.

License

python-algorithms is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

python-algorithms releases are not available. You will need to build from source code and install.

python-algorithms has no build file. You will be need to create the build yourself to build the component from source.

python-algorithms saves you 1055 person hours of effort in developing the same functionality from scratch.

It has 2393 lines of code, 272 functions and 64 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.

Removes a node from the tree
Return the root of the tree
Return the closest sibling of value
Returns the root of the tree
Insert a value into the set
Make the union of two sets
Compute the sum of two vectors
Calculate maximum k - k clustering
Insert a pair
Get an Eulerian tour
Get a tour from the current graph
Delete a node from the graph
Find the longest increasing subsequence
Integrate a matrix
Append x to the heap
Appends x to the heap
Computes the maximum spacing between clusters
Return a list of values
Return the longest common subsequence between two strings
Compare two matrices
Return the label of the subboard
Insert a new node
Iterative depth - first search
Quicks sort of a list
Traverse a graph
Topological sort
Perform a recursive DFS traversal

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 .

python

Lines of Code : 125

License : No License

Copy

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 .

python

Lines of Code : 30

License : No License

Copy

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

python

Lines of Code : 28

License : No License

Copy

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

Files deleted after push in GitHub remote repository

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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