Julia vs SciPy & Numpy : Which is Better?
Julia
Julia is a high-level, high-performance dynamic programming language for numerical computing.
License: Open Source
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Julia VS SciPy & Numpy Feature comparision
| Feature | Julia | SciPy & Numpy |
|---|---|---|
| Parallel Computing | ||
| Automatic JIT compilation on code change | ||
| Compiled Language | ||
| Compiler | ||
| High Level | ||
| Object-oriented Language | ||
| Dynamic typing | ||
| Garbage Collection | ||
| Coding | ||
| Cross-platform | ||
| Systems programming | ||
| Manual memory management | ||
| ANOVA test | ||
| File-sync | ||
| Simulink | ||
| Batch plotting | ||
| Embedded debugger | ||
| Automatic data loading | ||
| Data Mining | ||
| Typesafe | ||
| Compiler Explanations | ||
| Package Manager | ||
| Test case management | ||
| Symbolic Computation | ||
| Calculus solving | ||
| Constructive geometry | ||
| Equation solving | ||
| PowerShell Scripting | ||
| Python | ||
| Python IDE | ||
| Algebra | ||
| Simulation | ||
| Formula Builder | ||
| Equation editor | ||
| Built-in editor |
Compare Julia
Compare Nim (programming language) and Julia and decide which is most suitable for you.
Compare R (programming language) and Julia and decide which is most suitable for you.