Python programming language - a comparison of ratings with others

Reasons for learning Python

Over the last several years Python continues to be one of the most preferred programming languages every developer would want to learn. The language is easy-to-learn and offers a clean and well-structured code, making it powerful enough to build various applications including web development.

 

Python can be used for artificial intelligence, machine learning, data science, web and GUI-based desktop applications, as well as for network servers. To make applications development easy Python enjoys immense community support and offers several open-source libraries, frameworks, and modules.

 

Major corporations like Mozilla, Google, Quora, Hewlett-Packard, Dropbox, and Qualcomm, Instagram, Facebook, Amazon, Spotify, Goldman and Sach, Paypal, JP Morgan Chase, NASA, CIA, IBM, ThoughtMachine, Kensho etc use this language owing to its simplicity and elegance. 


Since the time it was developed in 1991 Python has maintained a growing popularity rate to achieve its position among the top 3 during recent years. Therefore it makes sense to learn this language to build up a future in freelance application development and to get a job in the post covid career scenario. 


Machine learning, Artificial Intelligence, Big data analytics and Robotics rely heavily on Python which is currently the most popular introductory languages taught in universities.


The following are few reasons why this language is popular.

AI/ML, Data Science: Without any dispute, Artificial intelligence is going to lead the future IT. Python is the preferred programming language of most data scientists. With the release of Numpy and ‘Pandas’, Python rose to prominence in the world of data science.  

Python also handles statistical, tabular and matrix data and also visualizes it with libraries like ‘Matplotlib’ and ‘Seaborn’. Python’s libraries such as Keras and TensorFlow enables machine learning functionality.  

Also, libraries like OpenCV aids in computer vision or image recognition. In AI/ML and data science arena, python job postings out number all others. This indicates the fact that the skills you gain with Python will directly transfer to developing your analytic skills.

Easy to Learn:  Because of its resemblance to the English it is efficient and easily readable with influence from mathematics. Python’s syntax is characterized by very few rules and special cases.

Cross-Platform and Open Source:  Be it Linux, Windows  or MacOS, Raspberry Pi, etc.  Python code works on every platform.

Versatile Language and Platform: Python remains very relevant today as it can be used in any operations scenario or software development such as developing a custom function for Hive & Pig, supporting object-oriented design or even developing a small tool.

Vast Libraries: Python is supported by PyPI (Python Package Index) which has 235,000+ python packages are accessible to the user.

Flexibility: Python has several powerful applications integrated with other programming languages. Details about these are given as follows:      

  • Net and C# compatible: IronPython,     
  • A version with C: CPython,      
  • Python combined with Ruby: Ruby Python,      
  • Python integrated with Java: Jython,     
  • Python written with Objective C toolkits: PyObjc

High Salary: The salary of Python engineers is comparatively higher as compared to others in the industry. In the United States, a Python developer earns an average of $116,028 per year.

Scripting and Automation: Python can also be used as a scripting language. Because it is an interpreted language it is easy to write scripts in it. In scripting, the code is written in script form and gets executed. So the code is read and interpreted by the machine and errors are checked during runtime.

Computer Graphics: Python can be employed in small, large, online or offline projects. It is used to develop GUI and desktop applications.

Testing Framework: This language is an excellent tool for validating the products or ideas for established enterprises. Python has numerous built-in testing frameworks and tools such as Selenium and Splinter that deal with debugging and rapid workflows. Python also supports cross-platform and cross-browser testing with frameworks like PyTest and Robot framework.

Web Development: Python’s different frameworks support website development. Python has an array of frameworks for developing websites. Popular frameworks such as Django, Flask, and Pylons 

 

Comparing the ratings of programming languages


There are many organizations and analyst firms that monitor and asses the growth and popularity of programming languages. We compare the latest available information of top 10 rated languages by some reputed agencies.


IEEE Spectrum Ranking Dec 2022

Rankings are created by weighting and combining 11 metrics from eight sources—CareerBuilder, GitHub, Google, Hacker News, the IEEE, Reddit, Stack Overflow, and Twitter. It’s a unique list in that it breaks down languages by use-case, allowing you to see which languages are most popular for web, mobile, and embedded development. 

IEEE  Spectrum Scores


Language

Rating

Python

100

C

96.8

C++

88.58

C#

86.99

Java

70.22

SQL

46.37

Javascript

40.38

R

18.92

HTML

17.96

TypeScript

16.99


















TIOBE

The TIOBE Programming Community index is an indicator of the popularity of programming languages. The index is updated once a month. According to Tiobe Programming Index Python for December 2022. Python ranks 1 among the most popular languages, followed by C and C++.  (TIOBE is expanded as The Importance of Being Earnest, the title of an 1895 comedy play by Oscar Wilde.)

Tiobe’s ratings are based on a formula assessing searches of programming languages on popular search engines such as Google, Bing, Yahoo, Amazon, YouTube, Baidu and Wikipedia

It is important to note that the TIOBE index is not about the best programming language or the language in which most lines of code have been written. The ratings are based on the number of skilled engineers world-wide, courses and third party vendors.

TIOBE  Rating for Dec 2022


Language

Rating

% Share

Python

1

16.66

C

2

16.56

C++

3

11.94

Java

4

11.82

C#

5

4.92

Visual Basic

6

3.94

JavaScript

7

3.19

SQL

8

2.22

Assembly

9

1.87

PHP

10

1.62


RedMonk

RedMonk Programming Language Rankings is provided by MongoDB. These ratings are based on observability in GitHub and Stack Overflow and combining them  to prepare the rankings. The RedMonk ratings are generated by Cloudflare Workers. Cloudflare Workers is a function deployment service and provides serverless code execution for developers with reliability and scaling.

 RedMonk Rating for June 2022

Language

Rating

JavaScript

1

Python

2

Java

3

PHP

4

C#

5

CSS

6

C++

7

TypeScript

8

Ruby

9

C

10


UC Berkley Extension

Founded in 1891, UC Berkley Extension is the continuing education branch of the University fo California, Berkeley. The ratings are based on two primary research questions

1.    Which languages are in demand now?

2.    Which ones are growing in popularity and will be in demand soon?

 

The other factors they considered the StackOverflow’s list of the most commonly – used, - loved and -wanted.

The most In-Demand Progamming Language for 2022


Language

Rating

JavaScript

1

Python

2

HTML

3

CSS

4

Java

5

SQL

6

NoSQL

7

C#

8

Rust

9

Perl

10

 
PYPL

The PYPL (PopularitY of Programming Language Index) is created by analyzing how often language tutorials are searched on in Google. PYPL ratings are based on collective wisdom and assumes that the more language tutorial is searched the more popular  the language is.

PYPL - Worldwide, Dec 2022


Rank

Language

Share (%)

Python

1

28.34

Java

2

16.93

JavaScript

3

9.28

C#

4

6.89

C/C++

5

6.64

PHP

6

5.19

R

7

3.98

TypeScript

8

2.79

Swift

9

2.23

Objective C

10

2.22


The ratings given above should help you decide which language to study and which to use in a new software development project. 

References:

https://spectrum.ieee.org/top-programming-languages-2022

https://www.tiobe.com/tiobe-index/

https://webcase.studio/blog/10-famous-companies-use-python/

https://redmonk.com/sogrady/2022/10/20/language-rankings-6-22/

http://pypl.github.io/PYPL.html

https://bootcamp.berkeley.edu/blog/most-in-demand-programming-languages/

https://stackshare.io/python

 

 

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