PokerOddsCalc | A simple tool to calculate poker hand odds
kandi X-RAY | PokerOddsCalc Summary
kandi X-RAY | PokerOddsCalc Summary
PokerOddsCalc is a Python library. PokerOddsCalc has no bugs, it has no vulnerabilities and it has low support. However PokerOddsCalc build file is not available. You can download it from GitHub.
PokerOddsCalc is a simple poker hand evaluator that can simulate Texas Hold'em or Omaha poker variants. Most pure poker odds calculators written in Python currently either use a hashtable to store Card information as bits to enhance performance or use a strong OOP design, which sacrifices performance. The development goal of this project is to achieve relatively high simulation efficiency without the use of a hashtable. Check out demo.ipynb to look at all the functions the tool supports or continue below for some brief examples.
PokerOddsCalc is a simple poker hand evaluator that can simulate Texas Hold'em or Omaha poker variants. Most pure poker odds calculators written in Python currently either use a hashtable to store Card information as bits to enhance performance or use a strong OOP design, which sacrifices performance. The development goal of this project is to achieve relatively high simulation efficiency without the use of a hashtable. Check out demo.ipynb to look at all the functions the tool supports or continue below for some brief examples.
Support
Quality
Security
License
Reuse
Support
PokerOddsCalc has a low active ecosystem.
It has 23 star(s) with 3 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of PokerOddsCalc is current.
Quality
PokerOddsCalc has no bugs reported.
Security
PokerOddsCalc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
PokerOddsCalc 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
PokerOddsCalc releases are not available. You will need to build from source code and install.
PokerOddsCalc has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed PokerOddsCalc and discovered the below as its top functions. This is intended to give you an instant insight into PokerOddsCalc implemented functionality, and help decide if they suit your requirements.
- Perform the simulation analysis .
- Check for one pair of combinations .
- Check the two combinations of two combinations .
- Generate a single hand .
- Check if the number of combinations of a kind .
- Rank one hand .
- Simulate the game .
- Calculates the hand value .
- Add card to card_arr
- Full house check .
Get all kandi verified functions for this library.
PokerOddsCalc Key Features
No Key Features are available at this moment for PokerOddsCalc.
PokerOddsCalc Examples and Code Snippets
No Code Snippets are available at this moment for PokerOddsCalc.
Community Discussions
No Community Discussions are available at this moment for PokerOddsCalc.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PokerOddsCalc
You can download it from GitHub.
You can use PokerOddsCalc 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 PokerOddsCalc 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