Python-algorithm | python-algorithm | Learning library

by EINDEX Python Version: Current License: No License

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

kandi X-RAY | Python-algorithm Summary

Python-algorithm is a Python library typically used in Tutorial, Learning, Example Codes applications. Python-algorithm has no bugs, it has no vulnerabilities and it has low support. However Python-algorithm build file is not available. You can download it from GitHub.

python-algorithm

Support

Quality

Security

License

Reuse

Support

Python-algorithm has a low active ecosystem.

It has 31 star(s) with 12 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Python-algorithm has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Python-algorithm is current.

Quality

Python-algorithm has 0 bugs and 0 code smells.

Security

Python-algorithm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Python-algorithm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Python-algorithm does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Python-algorithm saves you 272 person hours of effort in developing the same functionality from scratch.

It has 658 lines of code, 85 functions and 25 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Python-algorithm and discovered the below as its top functions. This is intended to give you an instant insight into Python-algorithm implemented functionality, and help decide if they suit your requirements.

Return a list of nodes in the tree
Get node by key
Creates a new BST node
Push elem onto stack
Return the last item in the queue
Pop the top stack top
Return top of a stack
Sort the elements in an array
Sift down by sift down
Removes the node from the tree
Find linked list
Number of nodes in the tree
Return the depth of the tree
Return the minimum value of the node
Insert node at index
Return the distance between two nodes
Remove a linked list
Perform post -order traversal
Select node by num
Perform preorder traversal
Return the rank of the node
Performs post - order traversal
Put the value into the BST
Get key from node
Find the lowest ancestor of two nodes

Get all kandi verified functions for this library.

Python-algorithm Key Features

No Key Features are available at this moment for Python-algorithm.

Python-algorithm Examples and Code Snippets

No Code Snippets are available at this moment for Python-algorithm.

Community Discussions

Trending Discussions on Python-algorithm

Fast Python algorithm for random partitioning with subset sums equal or close to given ratios

Files deleted after push in GitHub remote repository

Python - finding time slots

QUESTION

Fast Python algorithm for random partitioning with subset sums equal or close to given ratios

Asked 2021-Jun-12 at 15:14

This question is an extension of my previous question: Fast python algorithm to find all possible partitions from a list of numbers that has subset sums equal to a ratio . I want to divide a list of numbers so that the ratios of subset sums equal to given values. The difference is now I have a long list of 200 numbers so that a enumeration is infeasible. Note that although there are of course same numbers in the list, every number is distinguishable.

...

ANSWER

Answered 2021-Jun-12 at 15:14

You can use a greedy heuristic where you generate each partition from num_gen random permutations of the list. Each random permutation is partitioned into len(ratios) contiguous sublists. The fact that the partition subsets are sublists of a permutation make enforcing the ratio condition very easy to do during sublist generation: as soon as the sum of the sublist we are currently building reaches one of the ratios, we "complete" the sublist, add it to the partition and start creating a new sublist. We can do this in one pass through the entire permutation, giving us the following algorithm of time complexity O(num_gen * len(lst)).

Source https://stackoverflow.com/questions/67939449

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

QUESTION

Python - finding time slots

Asked 2017-Sep-14 at 16:20

I am writing a small Python script to find time available slots based off calendar appointments. I was able to reuse the code on the post here: (Python - Algorithm find time slots).

It does seem to work for booked appointments an hour or longer, but for those less than an hour it doesn't seem to catch them. In other words, it shows time slots as available even though appointments are booked (less than an hou).

Sample code below from post mentioned, with my own values for "hours" and "appointments".

...

ANSWER

Answered 2017-Sep-14 at 16:20

You missed the brackets in the appointments. Try this:

Source https://stackoverflow.com/questions/46223664

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

Vulnerabilities

No vulnerabilities reported

Install Python-algorithm

You can download it from GitHub.
You can use Python-algorithm 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: