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Showing 5 open source projects for "issues"
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PraktiCalc
a practical calculator written in Python
PraktiCalc is an unique calculator with many features you see elsewhere, and some you only get here. Development is happening on GitHub at the time of writing. If you have any issues or feature ideas, please let me know by opening an issue on GitHub (you can also open a ticket here if you want, but I don't look at them that often). There are packages for Windows (x86_64), macOS (aarch64) and Linux (Debian, AppImages for amd64/aarch64, TinyCore). -
2
RPNCalc
RPNCalc - The command line Reverse Polish Notation (RPN) Calculator
...I've created a User Guide (https://frossm.github.io/RPNCalc-UserGuide) to do a better job of explaining how to use RPNCalc than the old readme.md file, which was getting really long. If you have questions, issues, feedback, or ideas, please let me know. You can contact me via the links in the **Introduction** page of the User Guide. ## RPNCalc User Guide: https://frossm.github.io/RPNCalc-UserGuide ## -
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TRURL
A suite of RPN calculators and a class library for Object Pascal
TRURL is a suite of desktop calculators with reverse Polish notation (RPN) written in Object Pascal. Additionally, it comes with a free reusable class library (RPN Engine) as a toolbox for creating your own calculator. TRURL is an acronym for "TRURL is a Reusable Universal RPN Library". Class Libraries: • RPN Engine: Full-featured calculation engine for Pascal-based RPN calculators • Segmitator: Library for virtual seven-segment displays Applications: • TRURL A: Simple demo app... -
4
Shift Time Calculator
Calculates Shift Times
...Windows installer with bundled java runtime environment for those without java on their machine. visit: https://www.openlogic.com/openjdk-downloads if you're having issues with Java... Seems not all JDK's are created equal. -
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5
Tail Probability Calculator
Tail probability calculator for continuous random variable
A suite of Matlab functions that calculate the tail probability / cdf / pdf / quantile of linear combination of random variables in one of the following classes: (1) symmetric random variables with support on the real axis (normal, Student's t, uniform and triangular); (2) random variables with support on the positive real axis (chi-squared and log-Lambert W x chi-squared distributions; inverse gamma distribution is temporarily disabled due to numerical issues).
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