python_algorithms | Basic implementation of algorithms described | Data Mining library

by mmds-class Python Version: Current License: No License

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kandi X-RAY | python_algorithms Summary

python_algorithms is a Python library typically used in Data Processing, Data Mining, Example Codes applications. python_algorithms has no bugs, it has no vulnerabilities and it has low support. However python_algorithms build file is not available. You can download it from GitHub.

Basic implementation of algorithms described in the Coursera Mining Massive datasets class by Jure Leskovec, Anand Rajaraman, Jeff Ullman. For educational purposes only.

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python_algorithms has a low active ecosystem.

It has 16 star(s) with 17 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

python_algorithms has no issues reported. There are no pull 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 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_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 49 person hours of effort in developing the same functionality from scratch.

It has 131 lines of code, 13 functions and 21 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.

Computes the minhash of a row of documents .
Computes the LSH of a document .
Look for pairs of documents in buckets_lst .
sort a list of documents
Sort a list of shingles_lst .
Generate a dictionary from a file .
Compute a pair of k - th pairs .
Returns the list of shingles in word_lst .
Calculate the gradient .
Return the number of buckets p .

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

No Code Snippets are available at this moment for python_algorithms.

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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