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  5. Haskell vs Python

Haskell vs Python

OverviewDecisionsComparisonAlternatives

Overview

Python
Python
Stacks262.8K
Followers205.4K
Votes6.9K
GitHub Stars69.7K
Forks33.3K
Haskell
Haskell
Stacks1.4K
Followers1.2K
Votes527

Haskell vs Python: What are the differences?

Introduction

In this article, we will explore the key differences between Haskell and Python. Haskell is a statically-typed functional programming language, while Python is a dynamically-typed general-purpose programming language.

  1. Syntax: Haskell and Python have different syntaxes. Haskell uses indentation and whitespace to define block structures, while Python uses indentation only. Additionally, Haskell has a more complex syntax due to its functional programming paradigm, with features such as pattern matching and higher-order functions, whereas Python has a simpler and more familiar syntax.

  2. Type System: Another major difference is the type system. Haskell has a strong static type system, which means that all variables and expressions must have a specific type that is checked at compile-time. Python, on the other hand, has a dynamic type system, allowing variables to change their type during runtime.

  3. Immutability: Haskell is a purely functional language, which means that all data in Haskell is immutable by default. Once a value is assigned, it cannot be changed. Python, on the other hand, allows mutability, and variables can be reassigned to different values, making it easier to work with imperative programming paradigms.

  4. Lazy Evaluation: Haskell uses lazy evaluation, which means that expressions are not evaluated until their values are explicitly needed. This allows for potentially more efficient code execution. Python, on the other hand, uses eager evaluation, meaning that expressions are evaluated as soon as they are encountered in the code.

  5. Concurrency and Parallelism: Haskell has built-in support for concurrency and parallelism through its lightweight threads and software transactional memory (STM). This makes it easier to write concurrent and parallel programs. Python also supports concurrency and parallelism, but it requires external libraries or frameworks, such as threading or multiprocessing, to achieve similar functionality.

  6. Performance: Due to its static typing and lazy evaluation, Haskell can often provide better performance, especially in scenarios where laziness can be leveraged to avoid unnecessary computations. Python, being dynamically typed and eagerly evaluated, may not be as performant in certain scenarios. However, in general-purpose tasks and scenarios where performance is not the primary concern, Python's ease of use and extensive libraries make it a popular choice.

In Summary, Haskell and Python differ in their syntax, type system, mutability, evaluation strategy, concurrency/parallelism support, and performance characteristics.

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Advice on Python, Haskell

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
Haskell
Haskell

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 general purpose language that can be used in any domain and use case, it is ideally suited for proprietary business logic and data analysis, fast prototyping and enhancing existing software environments with correct code, performance and scalability.

-
Statically typed; Purely functional; Type inference; Concurrent
Statistics
GitHub Stars
69.7K
GitHub Stars
-
GitHub Forks
33.3K
GitHub Forks
-
Stacks
262.8K
Stacks
1.4K
Followers
205.4K
Followers
1.2K
Votes
6.9K
Votes
527
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
  • 90
    Purely-functional programming
  • 66
    Statically typed
  • 59
    Type-safe
  • 39
    Open source
  • 38
    Great community
Cons
  • 9
    Too much distraction in language extensions
  • 8
    Error messages can be very confusing
  • 5
    Libraries have poor documentation
  • 3
    No good ABI
  • 3
    No best practices
Integrations
Django
Django
No integrations available

What are some alternatives to Python, Haskell?

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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