Algorithmic-Toolbox | Master Algorithmic Programming Techniques Specialization | Learning library

by mablatnik Java Version: Current License: No License

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

kandi X-RAY | Algorithmic-Toolbox Summary

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

The Specialization covers algorithmic techniques for solving problems arising in computer science applications. It is a mix of theory and practice: you will not only design algorithms and estimate their complexity, but you will get a deeper understanding of algorithms by implementing them in the programming language of your choice (C, C++, C#, Haskell, Java, JavaScript, Python2, Python3, Ruby, and Scala). This Specialization is unique, because it offers two real-world projects. Advanced Shortest Paths project is offered in the end of the Algorithms on Graphs course. In this project, you'll deal with road network analysis and social network analysis. You'll learn how to compute the fastest route between New York and Mountain View thousands of times faster than classic algorithms and close to those used in Google Maps. Through Genome Assembly culminating project at the end of the Specialization, you'll learn how to assemble genomes from millions of short pieces and how algorithms fuel recent developments in personalized medicine.

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Quality

Security

License

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Support

Algorithmic-Toolbox has a low active ecosystem.

It has 151 star(s) with 143 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 42 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Algorithmic-Toolbox is current.

Quality

Algorithmic-Toolbox has 0 bugs and 0 code smells.

Security

Algorithmic-Toolbox has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Algorithmic-Toolbox code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Algorithmic-Toolbox 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

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

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

Algorithmic-Toolbox saves you 722 person hours of effort in developing the same functionality from scratch.

It has 1668 lines of code, 147 functions and 51 files.

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

Top functions reviewed by kandi - BETA

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

Parses and prints the optimal value
Get the index of the maximum value
Get the optimal value
Main test function
Gets the max pairwise product of an array
Auxiliary method for testing
Calculates the maximum dot product of two arrays
Prints a binary search to stdout
Search for the value in the array and return the index
Test program for debugging
Internal count of segments
Print last digit hexaccionacci last digit
Main function for testing
Test to see if the System out
Uses the Fibonacci sum from the System out
Read the euclid from standard input
Test to see if we are in the standard input
Command - line parser
The main method used for testing
Runs the optimal summands
Choose optimal sequence
Main entry point for testing
Dump the optimal weight of the scanner
Main method for testing purposes
Main method for testing
Edit the input

Get all kandi verified functions for this library.

Algorithmic-Toolbox Key Features

No Key Features are available at this moment for Algorithmic-Toolbox.

Algorithmic-Toolbox Examples and Code Snippets

No Code Snippets are available at this moment for Algorithmic-Toolbox.

Community Discussions

Trending Discussions on Algorithmic-Toolbox

mkdir with subfolders working in terminal but not from python

QUESTION

mkdir with subfolders working in terminal but not from python

Asked 2018-May-22 at 10:57

I wanted to create some folders with subfolders and have this python3 script that would read a csv file and create directories for me.

...

ANSWER

Answered 2018-May-22 at 10:57

mkdir -p algorithmic-toolbox/week_{1..6}/{slides,exercise,assignment}

Source https://stackoverflow.com/questions/50464691

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

Vulnerabilities

No vulnerabilities reported

Install Algorithmic-Toolbox

You can download it from GitHub.
You can use Algorithmic-Toolbox like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Algorithmic-Toolbox component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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