Python vs YAML

Overview

Python

Stacks262.9K

Followers205.4K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

YAML

Stacks634

Followers285

Votes0

Python vs YAML: What are the differences?

Python and YAML are two different languages used for different purposes. While Python is a high-level programming language, YAML is a data serialization language. Let's explore the key differences between them.

Syntax: Python uses indentation and a specific syntax to define its code blocks, whereas YAML uses indentation and a simplified syntax for representing data structures.
Data Types: Python supports a wide range of built-in data types such as integers, floats, strings, lists, dictionaries, etc., whereas YAML has a limited set of data types, including scalars, mappings, and sequences.
Functionality: Python is a fully-fledged programming language with support for loops, conditional statements, and advanced functionalities like object-oriented programming. YAML, on the other hand, is primarily used for storing and exchanging data between systems, and it does not have the same level of functionality as Python.
Usage: Python is extensively used for writing applications, scripts, web development, data analysis, and scientific computing. YAML, on the other hand, is mainly used for configuration files, data storage, and data interchange between different systems.
Flexibility: Python provides the flexibility to write complex algorithms and logic, allowing you to create dynamic and interactive applications. YAML, on the other hand, is more focused on simplicity and ease of use, making it suitable for configuration purposes but less suitable for complex computational tasks.
Code Execution: Python code is executed using a Python interpreter, which compiles the code and runs it on the user's machine. YAML, on the other hand, is a data serialization language and is not directly executed. Instead, YAML files are typically parsed and processed by other applications or tools.

In summary, Python is a programming language with extensive functionality and flexibility, whereas YAML is a simpler language used primarily for data serialization and configuration purposes.

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Advice on Python, YAML

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	YAML
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.	A human-readable data-serialization language. It is commonly used for configuration files, but could be used in many applications where data is being stored or transmitted.
Statistics
GitHub Stars 69.7K	GitHub Stars -
GitHub Forks 33.3K	GitHub Forks -
Stacks 262.9K	Stacks 634
Followers 205.4K	Followers 285
Votes 6.9K	Votes 0
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	No community feedback yet
Integrations
Django	Java .NET Ruby OCaml

What are some alternatives to Python, YAML?

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.

Related Comparisons

Python vs YAML: What are the differences?

Syntax: Python uses indentation and a specific syntax to define its code blocks, whereas YAML uses indentation and a simplified syntax for representing data structures.
Data Types: Python supports a wide range of built-in data types such as integers, floats, strings, lists, dictionaries, etc., whereas YAML has a limited set of data types, including scalars, mappings, and sequences.
Functionality: Python is a fully-fledged programming language with support for loops, conditional statements, and advanced functionalities like object-oriented programming. YAML, on the other hand, is primarily used for storing and exchanging data between systems, and it does not have the same level of functionality as Python.
Usage: Python is extensively used for writing applications, scripts, web development, data analysis, and scientific computing. YAML, on the other hand, is mainly used for configuration files, data storage, and data interchange between different systems.
Flexibility: Python provides the flexibility to write complex algorithms and logic, allowing you to create dynamic and interactive applications. YAML, on the other hand, is more focused on simplicity and ease of use, making it suitable for configuration purposes but less suitable for complex computational tasks.
Code Execution: Python code is executed using a Python interpreter, which compiles the code and runs it on the user's machine. YAML, on the other hand, is a data serialization language and is not directly executed. Instead, YAML files are typically parsed and processed by other applications or tools.

In summary, Python is a programming language with extensive functionality and flexibility, whereas YAML is a simpler language used primarily for data serialization and configuration purposes.

Python vs YAML

Overview