R (programming language) vs SciPy & Numpy : Which is Better?
R (programming language)
R is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation. Developed by Ross Ihaka and Robert Gentleman
License: Open Source
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R (programming language) VS SciPy & Numpy Feature comparision
| Feature | R (programming language) | SciPy & Numpy |
|---|---|---|
| Automatic data loading | ||
| Data Mining | ||
| High Level | ||
| Object-oriented Language | ||
| Dynamic typing | ||
| Garbage Collection | ||
| ANOVA test | ||
| File-sync | ||
| Simulink | ||
| Batch plotting | ||
| Embedded debugger | ||
| Symbolic Computation | ||
| Calculus solving | ||
| Constructive geometry | ||
| Equation solving | ||
| Automatic JIT compilation on code change | ||
| Compiled Language | ||
| Compiler | ||
| Parallel Computing | ||
| Network Analysis | ||
| Graphs | ||
| Cross-platform | ||
| Imperative Language | ||
| Built-in editor | ||
| Python | ||
| Python IDE | ||
| Interactive Visualization | ||
| Literate programming | ||
| PowerShell Scripting | ||
| Algebra | ||
| Simulation | ||
| Formula Builder | ||
| Equation editor |
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