Overview

Python

Stacks250.8K

Followers205.3K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

Clipper

Stacks5

Followers11

Votes0

GitHub Stars1.4K

Forks280

Clipper vs Python: What are the differences?

Introduction

In this article, we will compare the key differences between Clipper and Python. Clipper is a programming language and compiler system while Python is a high-level, general-purpose programming language. Understanding the differences between these two will help developers choose the most suitable language for their specific needs.

Syntax: The syntax of Clipper and Python differ significantly. Clipper uses a procedural syntax similar to Pascal, making it more suitable for structured programming. On the other hand, Python uses an object-oriented syntax, allowing for modular and reusable code.
Performance: When it comes to performance, Clipper has an advantage over Python. Clipper is a compiled language, which means the code is converted into machine code before execution. This leads to faster execution times and more efficient memory usage. Python, on the other hand, is an interpreted language and usually slower compared to compiled languages.
Libraries and Ecosystem: Python has a vast ecosystem of libraries and frameworks that simplify development and provide a wide range of functionalities. The availability of libraries such as NumPy, Pandas, and Django makes Python a popular choice for data analysis, scientific computing, and web development. In contrast, Clipper has a smaller ecosystem with fewer libraries and frameworks available.
Portability: Python is known for its cross-platform compatibility. Python code can be run on different operating systems and architectures without modifications. This makes it easier to develop software that can be deployed on various platforms. Clipper, while being portable to some extent, is primarily designed for DOS-based systems and may require adjustments to run on other platforms.
Learning Curve: Python is often regarded as one of the most beginner-friendly programming languages. It has a clean and readable syntax, making it easier for newcomers to learn and understand. Clipper, on the other hand, has a steeper learning curve due to its procedural nature and less intuitive syntax, requiring a deeper understanding of programming concepts.
Community and Support: Python has a large and active community of developers, which leads to extensive support, documentation, and resources available online. There are numerous forums, tutorials, and libraries created by the Python community. Clipper, being less popular and having a smaller user base, may have limited community support and documentation compared to Python.

In summary, Clipper and Python differ in terms of syntax, performance, library ecosystem, portability, learning curve, and community support. Python offers a more beginner-friendly syntax, a vast library ecosystem, and better cross-platform compatibility. However, Clipper provides faster performance, especially for computationally intensive tasks, but has a more limited library support and a steeper learning curve.

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Advice on Python, Clipper

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

Apr 8, 2020

Needs adviceon

React Native

Python

Flutter

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:

@{React Native}|tool:2699|, @{Python}|tool:993|, AWS stack or
@{Flutter}|tool:7180|, @{Go}|tool:1005| ( I don't know what stack or tools to use)

722k views722k

Comments

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	Clipper
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 low-latency prediction serving system for machine learning. Clipper makes it simple to integrate machine learning into user-facing serving systems.
-	Simplifies integration of machine learning techniques; Simplifies model deployment and helps reduce common bugs; Improves throughput and ensures reliable millisecond latencies; Improves prediction accuracy
Statistics
GitHub Stars 69.7K	GitHub Stars 1.4K
GitHub Forks 33.3K	GitHub Forks 280
Stacks 250.8K	Stacks 5
Followers 205.3K	Followers 11
Votes 6.9K	Votes 0
Pros & Cons
Pros 1185 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	No community feedback yet
Integrations
Django	No integrations available

What are some alternatives to Python, Clipper?

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!

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 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.