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  5. Lua vs Python

Lua vs Python

OverviewDecisionsComparisonAlternatives

Overview

Python
Python
Stacks262.8K
Followers205.3K
Votes6.9K
GitHub Stars69.7K
Forks33.3K
Lua
Lua
Stacks2.5K
Followers1.0K
Votes180
GitHub Stars1.5K
Forks452

Lua vs Python: What are the differences?

Introduction

Lua and Python are both popular programming languages used for different purposes. While Lua is often used for game development and scripting, Python is widely used in web development, data analysis, and artificial intelligence. Despite similarities in their syntax, there are several key differences between the two languages. In this article, we will explore six main differences between Lua and Python.

1. Language Design and Paradigm: Lua is a minimalist and lightweight language that focuses on simplicity and flexibility. It follows a procedural programming paradigm with support for object-oriented programming through metatables. On the other hand, Python is a general-purpose language designed to emphasize code readability and simplicity. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

2. Syntax and Expressiveness: Lua has a simple and minimalistic syntax that can be quickly learned and understood. It uses a prefix notation for function calls and doesn't require parentheses for function arguments. Python, on the other hand, employs a more verbose syntax, with the use of indentation to define code blocks. It also has a rich set of built-in data structures and high-level abstractions, making it more expressive than Lua.

3. Extensibility and Embedding: Lua is known for its excellent extensibility and embedding capabilities. It provides an easy-to-use C API that allows developers to integrate Lua into their applications seamlessly. This feature makes Lua a popular choice for game development and scripting in other programming languages. Python also offers extensibility options through C API, but it is not as straightforward as Lua. Python's extensibility is mainly achieved through third-party libraries and packages.

4. Performance: In terms of raw performance, Lua is often considered faster and more lightweight than Python. This performance advantage is due to Lua's simplicity and minimalism. However, Python is known for its extensive standard library and rich ecosystem of libraries, which provide high-level abstractions and productivity features that Lua lacks. Depending on the specific use case, Python's performance can be optimized through the use of libraries like NumPy and Cython.

5. Memory Management: Lua features a garbage collector that automatically manages memory allocations and deallocations. The garbage collector is incremental and can work in small steps, preventing noticeable performance drops. Python also has a garbage collector, but it uses a different approach known as reference counting. Python's reference counting mechanism frees memory immediately when an object's reference count drops to zero. In cases where reference cycles occur, Python employs a more complex garbage collection algorithm called "cycle detection" to reclaim memory.

6. Community and Community Support: Python has a significantly larger community compared to Lua, making it easier to find resources, libraries, and frameworks. Python's extensive community support ensures a stable and rapidly evolving ecosystem, with continuous updates and improvements. Lua has a smaller community, primarily focused on game development and embedded systems. Although Lua lacks the same level of community support as Python, it still has active user forums, mailing lists, and resources available.

In Summary, Lua and Python differ in language design, syntax, extensibility, performance, memory management, and community support. Both languages serve distinct purposes and have their own strengths and weaknesses, making them suitable for different applications in the world of programming.

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Advice on Python, Lua

Thomas
Thomas

Talent Co-Ordinator at Tessian

Mar 11, 2020

Decided

In December we successfully flipped around half a billion monthly API requests from our Ruby on Rails application to some new Python 3 applications. Our Head of Engineering has written a great article as to why we decided to transition from Ruby on Rails to Python 3! Read more about it in the link below.

263k views263k
Comments
Avy
Avy

Apr 8, 2020

Needs adviceonReact NativeReact NativePythonPythonFlutterFlutter

I've been juggling with an app idea and am clueless about how to build it.

A little about the app:

  • Social network type app ,
  • Users can create different directories, in those directories post images and/or text that'll be shared on a public dashboard .

Directory creation is the main point of this app. Besides there'll be rooms(groups),chatting system, search operations similar to instagram,push notifications

I have two options:

  1. @{React Native}|tool:2699|, @{Python}|tool:993|, AWS stack or
  2. @{Flutter}|tool:7180|, @{Go}|tool:1005| ( I don't know what stack or tools to use)
722k views722k
Comments
Davit
Davit

Apr 11, 2020

Needs advice

Hi everyone, I have just started to study web development, so I'm very new in this field. I would like to ask you which tools are most updated and good to use for getting a job in medium-big company. Front-end is basically not changing by time so much (as I understood by researching some info), so my question is about back-end tools. Which backend tools are most updated and requested by medium-big companies (I am searching for immediate job possibly)?

Thank you in advance Davit

390k views390k
Comments

Detailed Comparison

Python
Python
Lua
Lua

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode for a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping.

Statistics
GitHub Stars
69.7K
GitHub Stars
1.5K
GitHub Forks
33.3K
GitHub Forks
452
Stacks
262.8K
Stacks
2.5K
Followers
205.3K
Followers
1.0K
Votes
6.9K
Votes
180
Pros & Cons
Pros
  • 1186
    Great libraries
  • 966
    Readable code
  • 848
    Beautiful code
  • 789
    Rapid development
  • 692
    Large community
Cons
  • 53
    Still divided between python 2 and python 3
  • 28
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 22
    GIL
  • 20
    Package management is a mess
Pros
  • 41
    Fast learning curve
  • 26
    Very easy to embed in C programs
  • 26
    Efficient memory usage
  • 20
    Open source
  • 19
    Good for game scripting
Cons
  • 4
    Nooby
  • 2
    Not widespread
  • 1
    D
  • 0
    Python
Integrations
Django
Django
No integrations available

What are some alternatives to Python, Lua?

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

Swift

Swift

Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.

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