Lua Python
Lua Python C++ Tutorial
Example Usage Where Lua Fits Much Better Than C/C++ ...

See full list on lua-users.org. Lua Deno NodeJS Python Ruby Go C C Java C# TypeScript PHP Bash Lua R Fortran Erlang SQL Clojure D Perl Assembly Code Input Output Run Save print 'hello world!' Click on the Run button to get started. The code/input has changed since you last clicked on Run. Click it again to see the updated changes. To compile under Windows (Visual C GUI) do the following: 1: Create a new project. 2: Add the embed.c file. 3: Add the 2 Lua libraries (.lib) - Standard library and the Core library. 4: Add the locations of the Lua include files to the project options ('Directories tab'). 5: You may also have to add the locations of the library files - the.

Python is great, but pure Python code sometimes has one problem: It’s slow.

Fortunately there are several great solutions to improve the performance, like Numpy, Cython, Numba, Pypy.

All of the above solutions have different drawbacks:

Numpy and Numba are big modules. In addition Numpy is not always fast enough.Pypy is not 100% compatible and a heavy solution if it is used in addition to CPython.Cython is complex and you need a C-compiler.Recently I’ve found one more solution which maybe is not that well known: Lua integration in Python programs.

Lua is another scripting language with dynamic data types.

So I asked myself:

Does it make sense to have another scripting language inside Python scripts?

Let’s have a look at a simple example: Mandelbrot

Lua Python

First of all the pure Python example:

Runtimes of this example on a Core i7 laptop with Python 3.7 and Windows 10:

Size	dt [s]
320	3.32
640	13.54
1280	55.59

Now the Lua example integrated in a Python script:

Runtimes of this example on a performance laptop with Python 3.7 and Windows 10:

Size	dt [s] 1 thread	dt [s] 2 threads	dt [s] 4 threads	dt [s] 8 threads	dt [s] 16 threads
320	0.22	0.11	0.07	0.06	0.04
640	0.68	0.38	0.26	0.21	0.17
1280	2.71	1.50	1.05	0.81	0.66

The above results are very impressive. As you can see Lua is really much faster. And as you can also see: You can parallelize with threads!

The module lupa, which comes with a Lua interpreter and a JIT compiler, is a very interesting alternative for speeding up long running tasks.

The Lua solution has the following advantages:

The lupa module is very small.
Lua is much faster than Python.
You can run Lua scripts in parallel with threads.
Lua is very easy to read and code.
You can easily integrate Lua scripts in Python code.
You can easily access Python objects within Lua and vice versa.
There are many extension modules available for Lua (~2600, see luarocks.org).

Give lupa a try. It’s easy to use and really great!

SIMION Programming API - This is the reference documentation on the various SIMION programminglibraries for Lua, C++, Perl, and Python programming languages. Itconsists of a number of parts.

Contents

Programming API for SIMION

This is the Lua 5.1 Reference Manual, which documentsthe Lua language itself, the C API, and the core Lua libraries.

base - Basic standard library functions - Basic Functions
coroutine - coroutine manipulation (standard library) - coroutine manipulation
io - input and output facilities (standard library) - input and output facilities
os - operating system facilities (standard library) - operating system facilities
string - string manipulation functions (standard library) - string manipulation functions
debug - debugging facilities (standard library) - debugging facilities
math - mathematical functions (standard library) - mathematical functions
package - module support (standard library) - module support
table - table manipulation functions (standard library) - table manipulation functions

Additional general Lua documentation is available at(http://www.lua.org/docs.html).In particular, the book“Programming in Lua” or “Beginning Lua Programming” is highlyrecommended as a general introduction to Lua. The former is morecondensed, focuses largely on only the Lua core itself, and is themore official text (very high quality). The latter is larger, broaderin scope, a bit more verbose (being oriented more toward beginningprogrammers–hence the title), and covers third-party libraries andLua use in practice much more broadly.

See the “User Programming” appendix of the SIMION User Manual for details on theworkbench user program segments, core functions, and general programming background.

See Workbench Program Extensions in SIMION 8.1 for new reserved variablesand segments added in SIMION 8.1.

See Command Line Interface.

The SIMION core library contains SIMION functions and objects exposed to Lua,such as for controlling various aspects of SIMION from Lua.

simion - SIMION core functions and objects
simion.fly2 - FLY2 particle definition
simion.command - Executes command via the batch mode interface.
simion.pas - Programmatic access and manipulation of SIMION potential arrays (PA’s). [8.1]
simion.wb - Programmatic access and manipulation of SIMION workbenches (IOBs) [8.1]
simion.window / simion.experimental.display - Programmatic access andmanipulation of the SIMION window and display [8.1]
simion.experimental - Some experimental features (subject to change) [8.1]
Field Functions Library (simion.experimental.field_array) -Utility functions for conveniently representing vector fields from one ormore potential array objects (field array).[8.2]

The functionality in these libraries is more extensive andexperimental (subject to change in minor 8.0.x versions) than theSIMION Core Libraries. They are used in various SIMION examples.

simionx.CachedField - Represents a given field whose values are computed and cached in a given field array.
simionx.Constants - Various physical constants.
simionx.FieldAnalysis - Functions for analyzing fields (e.g. computing total charge via Gauss’s Law or total energy).
simionx.FieldArray - 3D vector field (e.g. Magnetic or electric) interpolated from data arrays.See also the newer Field Functions Library (simion.experimental.field_array)
simionx.Format - String format utility functions.
simionx.Integration - Numerical integration routines.
simionx.MField - Wire current magnetic field calculations using Biot-Savart
simionx.SimplexOptimizer - Simplex optimization routine (Nelder-Mead downhill)
simionx.SpecialFunctions - Special mathematical functions (e.g. elliptic integrals, bessel, error function, …)
simionx.Statistics - Statistics utility functions
simionx.Support - Support and utility functoins for use by the other modules
simionx.Type - A type system (provides type checking).

These are libraries for a variety of programming languages, notnecessarily Lua (but rather C++, Perl, and Python) for manipulatingSIMION potential arrays. The SL Libraries were originally from theSL Toolkit but are now included in SIMION 8.

The SL Libraries – C++, Perl,and Python libraries for manipulating potential arrays (not currentlyavailable in Lua).

These are third-party Lua libraries included with SIMION:

luacom - Microsoft’s Component Object Model (COM) forcontrolling other applications, like Excel.
LuaFileSystem - Access file directory structure and file attributes.(docs available in

Lua Python C++