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Why should web development freelancers focus more on python programming?

3 points
Asked by:
eiliana utkarsh
1030

The web development area is vast as it holds multiple coding languages. There are specific languages for front-end development like HTML, CSS, and JavaScript. And PHP, Ruby, Java, SQL, and python programming online for back-end development. 

Most tech people fail to understand the opportunities for them in the market. Most of them focus on C++ and JavaScript, and Java. They also follow the fad of learning coding languages like React, angular, C#, and VueJS. These languages are also the back-end development languages with their unique features. But the current market focuses more on reliable and trusted python programming.

Here's why you should choose to freelance in python programming online:

  1. Python is an interpreted language
    Python programming doesn't require an execution; it has a runtime interpreter which compiles the program before the execution process.

  2. Python is easy to learn
    Python is an easy-to-learn language for beginners. It is widely used in web development, especially in back-end development. It is best for freelance web developers who build web applications.

  3. Portable
    Python programming is a portable coding language that works with a wide variety of hardware. The interface appears the same on all platforms.

  4. Scalable
    Python programs support scalability. The large structure of programs appears better than the large shell scripts or any other coding language.

  5. Multipurpose
    Python programming is used for web development, application, artificial intelligence, deep learning, and the Internet of things. It assists industries like healthcare and automobiles.

  6. Leading in market
    Python programming language is highly in demand because it is the most advanced and simple programming language. The market giants like Google, Microsoft, Facebook, and Red hat use python programming. It is the leading programming language used in web development. Freelance web developers can get opportunities to work with MNC and giants from markets.

This post was edited by moderator to make it more readable.

1 answer
3 points
Answered by:
Root-ssh
178260

Yes, Python is very popular, many job offers, Python is simple for the begginer, Python has big community and has a lot of tools around (e.g. AI, ML, Big Data, etc.).

The technology selection should be made accoriding to needs.

As other very popular technology we can use JavaScript.

Arguments to use JavaScript:

  1. Dynamic websites requires JavaScript (we can transpile TypeScript, Dart, Scala, etc. to JavaScript too, or use WASM).
  2. Around JavaScript we have big community: JavaScript + Node.js + Libraries (React, Angualr, VUE, Tree.js, etc.).
  3. The one of the fastest virtual machine is V8 from Google, used in many web browsers (Chrome, Edge, etc.) and in Node.js - it is good to know when we want to develop with quite good performance.
  4. We can run JavaScript on the front-end and on the back-end.
  5. With JavaScript we can find job offers around: VanillaJS, React, Angualr, Node.js, Games Developemnt, VUE etc.
  6. TypeScript is extended JavaScript.

Trending on the stack overflow:

Hint: below trends do not show related technologies that may significantly increase used market size.

Python, JavaScript and Node.js trends on the 2022.
Python, JavaScript and Node.js trends on the 2022.

Source: https://insights.stackoverflow.com/trends?tags=python%2Cjavascript%2Cnode.js

Performance tests Python 3.9.2 vs Node.js 16.8.0:

In the below results, smaller time in seconds means the performance is better - we need to take at account in CPU load and too, what is visible in the fistst test, where CPU is not used in 100%.

Python 3.9.2 vs Node.js 16.8.0 performance comparison.
Python 3.9.2 vs Node.js 16.8.0 performance comparison.

Source: https://benchmarksgame-team.pages.debian.net/benchmarksgame/fastest/python.html

See also

  1. Different languages performance comparison - you will see how fast are different programming languages
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