Comments (1)
Short summary:
A Domain-Specific Language (DSL) for physics is a specialized programming language tailored to address the specific needs and challenges of physicists in their computational work. It is designed to express concepts and operations relevant to the domain of physics in a concise and natural manner.
DSLs in physics aim to enhance productivity and accuracy by providing:
Abstraction:
Abstracting complex physical concepts into a syntax that mirrors the language of physicists, making code more intuitive and closer to the problem domain.
Expressiveness:
Allowing physicists to articulate computations and simulations using notation and terms familiar to their field, reducing the cognitive gap between problem formulation and code.
Efficiency:
Optimizing for the specific computational patterns and algorithms commonly used in physics, ensuring efficient execution of simulations and data analysis.
Integration:
Seamless integration with existing physics libraries, tools, and workflows, facilitating collaboration and leveraging the wealth of existing resources in the physics community.
Error Prevention:
Incorporating domain-specific checks and constraints to catch potential errors early in the development process, reducing the likelihood of inaccuracies in scientific computations.
from rootinteractive.
Related Issues (20)
- Migration to bokeh 3.0
- RDataFrame simplifications - numpy/python syntax HOT 19
- Making dashboard reusable snapshots
- Making parametrizable templates
- Variable metadata support for variables (columns, aliases) in RootInteractuve - AxisLabel, Description, HOT 2
- Latex labels in RootInteractive - https://docs.bokeh.org/en/2.4.1/docs/user_guide/extensions_gallery/latex.html HOT 2
- Summary table - for the selection applied HOT 1
- Missing protection in the spinner creation HOT 1
- Webasm function in RootInteractive - prototype (Unfolding, linear algebra) - C++, Rust
- RandomForest def predictRFStat(rf, X, statDictionary,n_jobs) optimization (memory and CPU) HOT 2
- Ndimensional Linear regression in the RootInteractive - user interface specification https://en.wikipedia.org/wiki/Linear_regression HOT 1
- ROOT tree draw like C++ interface for interactive visualisation
- Better Error handling in cases of invalid widget specification
- Domain specific language on top of RDF (range, nearest, "rolling") - extending #297 HOT 2
- Custom variables non reacting in case previous sysntax problem in the widget
- Parameterized Template -snapshot configuration on server and on client (relates. to #302) HOT 3
- LaTeX Formatting Not Working in RootInteractive dashboard with Bokeh 3.0.2+ HOT 2
- New template function - extending getDefaultVars with additions of weight and reference weight + scale (e.g resolution scale.) HOT 1
- Statistics cuts for the aggregated statistic drawing (number of entries in bin, STD cut)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from rootinteractive.