Go vs Groovy vs Python

Overview

Python

Stacks262.8K

Followers205.4K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

Groovy

Stacks7.0K

Followers780

Votes212

GitHub Stars5.4K

Forks1.9K

Golang

Stacks24.0K

Followers13.9K

Votes3.3K

GitHub Stars130.7K

Forks18.4K

Go vs Groovy vs Python: What are the differences?

<Go, Groovy, and Python are three different programming languages that are widely used for various development purposes in the software industry. Below are the key differences between Go, Groovy, and Python.>

Syntax: Go is a statically typed language with a simpler syntax compared to Groovy and Python. Groovy, on the other hand, is dynamically typed and has a more expressive syntax with features like closures and operators overloading. Python, known for its readability and simplicity, has a clean and easy-to-understand syntax with significant indentation for code blocks.
Concurrency: Go is designed for efficient concurrency with its goroutines and channels, making it easier to manage multiple tasks concurrently. Groovy and Python also support concurrency, but Go's approach is more efficient and built-in compared to the other two languages, providing better performance for concurrent operations.
Performance: Go is known for its high performance due to its statically typed nature and efficient garbage collection mechanism, making it suitable for building high-performance applications. Groovy, being dynamically typed, may not be as performant as Go in certain scenarios. Python, while known for its simplicity and ease of use, may not perform as well as Go in terms of speed and efficiency.
Community and Ecosystem: Python has a vast community and a rich ecosystem of libraries and frameworks, making it popular for various development tasks ranging from web development to data science. Go has a growing community and ecosystem, especially in the area of cloud-native applications and systems programming. Groovy, being more niche compared to Python and Go, has a smaller community but is widely used in the domain of automation and scripting.
Type System: Go has a strong and static type system, which enforces compile-time type checking, ensuring type safety and better code quality. Groovy, being dynamically typed, provides flexibility but may result in runtime errors due to its lack of strict type checking. Python, while dynamically typed like Groovy, has a more robust type system with features like type hinting (introduced in Python 3.5) to improve code readability and maintainability.
Versatility and Use Cases: Each language has its own strengths and use cases. Go is commonly used for systems programming, cloud-native development, and high-performance applications. Groovy is often used for scripting, automation, and building domain-specific languages. Python is versatile and can be used for web development, data analysis, machine learning, and automation, making it one of the most popular general-purpose languages.

In Summary, Go, Groovy, and Python differ in aspects such as syntax, concurrency support, performance, community, type system, and use cases.

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Advice on Python, Groovy, Golang

Ido

Mar 6, 2020

Decided

When developing a new blockchain, we as a team chose Go lang over Java and other candidates, due to Go being (a) natively suited to concurrency - there are primitives in the language itself (goroutines, channels) that really help with reasoning about concurrency (b) super fast - build time, running, testing are all much faster that Java, this gives a far superior developer experience (c) shorter and stricter than Java - code is much shorter (less verbose), and there is usually one good way to do things, and even the code formatter that is bundled with Go is very opinionated - over a short time this makes reading other people's code far smoother than having to deal with different styles.

You should be aware that Go presently (v1.13) lacks Generics.

267k views267k

Comments

Brent

CEO at DEFY Labs

Mar 7, 2020

Decided

Node.js has been growing in popularity, and the ability to access the global pool of Javascript developers is great. There is a decreased amount of effort for people to work across the frontend and backend, and the language itself is easy and works well for many common use cases.

Go was the other serious candidate, but it just hasn't been implemented in as many Production systems yet, and the best Go engineers I've known have been hackers, whereas we're building a robust analytics platform that requires more caution. Type safety is easily added with TypeScript, and NPM is awesomely handy.

369k views369k

Comments

Mike

Enterprise Architect at Warby Parker

Dec 22, 2019

Decided

When I was evaluating languages to write this app in, I considered either Python or JavaScript at the time. I find Ruby very pleasant to read and write, and the Ruby community has built out a wide variety of test tools and approaches, helping e deliver better software faster. Along with Rails, and the Ruby-first Heroku support, this was an easy decision.

258k views258k

Comments

Detailed Comparison

Python	Groovy	Golang
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.	It is a powerful multi-faceted programming language for the JVM platform. It supports a spectrum of programming styles incorporating features from dynamic languages such as optional and duck typing, but also static compilation and static type checking at levels similar to or greater than Java through its extensible static type checker. It aims to greatly increase developer productivity with many powerful features but also a concise, familiar and easy to learn syntax.	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.
-	Flat learning curve; Powerful features; Smooth Java integration; Domain-Specific Languages; Vibrant and rich ecosystem; Scripting and testing glue	-
Statistics
GitHub Stars 69.7K	GitHub Stars 5.4K	GitHub Stars 130.7K
GitHub Forks 33.3K	GitHub Forks 1.9K	GitHub Forks 18.4K
Stacks 262.8K	Stacks 7.0K	Stacks 24.0K
Followers 205.4K	Followers 780	Followers 13.9K
Votes 6.9K	Votes 212	Votes 3.3K
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 44 Java platform 33 Much more productive than java 29 Concise and readable 28 Very little code needed for complex tasks 22 Dynamic language Cons 3 Groovy Code can be slower than Java Code 1 Objects cause stateful/heap mess 1 Absurd syntax	Pros 557 High-performance 398 Simple, minimal syntax 365 Fun to write 305 Easy concurrency support via goroutines 273 Fast compilation times Cons 43 You waste time in plumbing code catching errors 25 Verbose 23 Packages and their path dependencies are braindead 16 Google's documentations aren't beginer friendly 15 Dependency management when working on multiple projects
Integrations
Django	Java	Revel Martini

What are some alternatives to Python, Groovy, Golang?

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

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

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 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!

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# (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 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 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

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.

Rust

Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.

Related Comparisons

Go vs Groovy vs Python: What are the differences?

Syntax: Go is a statically typed language with a simpler syntax compared to Groovy and Python. Groovy, on the other hand, is dynamically typed and has a more expressive syntax with features like closures and operators overloading. Python, known for its readability and simplicity, has a clean and easy-to-understand syntax with significant indentation for code blocks.
Concurrency: Go is designed for efficient concurrency with its goroutines and channels, making it easier to manage multiple tasks concurrently. Groovy and Python also support concurrency, but Go's approach is more efficient and built-in compared to the other two languages, providing better performance for concurrent operations.
Performance: Go is known for its high performance due to its statically typed nature and efficient garbage collection mechanism, making it suitable for building high-performance applications. Groovy, being dynamically typed, may not be as performant as Go in certain scenarios. Python, while known for its simplicity and ease of use, may not perform as well as Go in terms of speed and efficiency.
Community and Ecosystem: Python has a vast community and a rich ecosystem of libraries and frameworks, making it popular for various development tasks ranging from web development to data science. Go has a growing community and ecosystem, especially in the area of cloud-native applications and systems programming. Groovy, being more niche compared to Python and Go, has a smaller community but is widely used in the domain of automation and scripting.
Type System: Go has a strong and static type system, which enforces compile-time type checking, ensuring type safety and better code quality. Groovy, being dynamically typed, provides flexibility but may result in runtime errors due to its lack of strict type checking. Python, while dynamically typed like Groovy, has a more robust type system with features like type hinting (introduced in Python 3.5) to improve code readability and maintainability.
Versatility and Use Cases: Each language has its own strengths and use cases. Go is commonly used for systems programming, cloud-native development, and high-performance applications. Groovy is often used for scripting, automation, and building domain-specific languages. Python is versatile and can be used for web development, data analysis, machine learning, and automation, making it one of the most popular general-purpose languages.

In Summary, Go, Groovy, and Python differ in aspects such as syntax, concurrency support, performance, community, type system, and use cases.

Go vs Groovy vs Python

Overview