PlayingCardsStatisticalAnalysis | Statistical Analysis of Playing Cards
kandi X-RAY | PlayingCardsStatisticalAnalysis Summary
kandi X-RAY | PlayingCardsStatisticalAnalysis Summary
PlayingCardsStatisticalAnalysis is a Python library. PlayingCardsStatisticalAnalysis has no bugs, it has no vulnerabilities and it has low support. However PlayingCardsStatisticalAnalysis build file is not available. You can download it from GitHub.
In this project, I have conducted an experiment dealing with drawing from a deck of playing cards and you can see the writeup containing my findings here. This experiment will require the use of a standard deck of playing cards. This is a deck of fifty-two cards divided into four suits (spades (), hearts (), diamonds (), and clubs ()), each suit containing thirteen cards (Ace, numbers 2-10, and face cards Jack, Queen, and King). You can use either a physical deck of cards for this experiment or you may use a virtual deck of cards such as that found on random.org (In this task, I have assigned each card a value: The Ace takes a value of 1, numbered cards take the value printed on the card, and the Jack, Queen, and King each take a value of 10.
In this project, I have conducted an experiment dealing with drawing from a deck of playing cards and you can see the writeup containing my findings here. This experiment will require the use of a standard deck of playing cards. This is a deck of fifty-two cards divided into four suits (spades (), hearts (), diamonds (), and clubs ()), each suit containing thirteen cards (Ace, numbers 2-10, and face cards Jack, Queen, and King). You can use either a physical deck of cards for this experiment or you may use a virtual deck of cards such as that found on random.org (In this task, I have assigned each card a value: The Ace takes a value of 1, numbered cards take the value printed on the card, and the Jack, Queen, and King each take a value of 10.
Support
Quality
Security
License
Reuse
Support
PlayingCardsStatisticalAnalysis has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
PlayingCardsStatisticalAnalysis has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of PlayingCardsStatisticalAnalysis is current.
Quality
PlayingCardsStatisticalAnalysis has no bugs reported.
Security
PlayingCardsStatisticalAnalysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
PlayingCardsStatisticalAnalysis 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
PlayingCardsStatisticalAnalysis releases are not available. You will need to build from source code and install.
PlayingCardsStatisticalAnalysis has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of PlayingCardsStatisticalAnalysis
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of PlayingCardsStatisticalAnalysis
PlayingCardsStatisticalAnalysis Key Features
No Key Features are available at this moment for PlayingCardsStatisticalAnalysis.
PlayingCardsStatisticalAnalysis Examples and Code Snippets
No Code Snippets are available at this moment for PlayingCardsStatisticalAnalysis.
Community Discussions
No Community Discussions are available at this moment for PlayingCardsStatisticalAnalysis.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PlayingCardsStatisticalAnalysis
You can download it from GitHub.
You can use PlayingCardsStatisticalAnalysis 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.
You can use PlayingCardsStatisticalAnalysis 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:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
