Explore the Versatility of Python language.

The first time I started my research on programming languages, it occurred to me that Python language is the most recommended language both for Beginner, Intermediate and Expert programmers. You might be wondering what is special about Python language, one of the reasons it's considered special is its Versatility. Python can be used for multiple tasks such as; devising machines, learning algorithms, automation of machines or just data analysis. Some other reasons why Python is considered special and popular are; the readability of its code which is very much similar to human language, its fastness, its ease to use which makes it beginner-friendly etc.
In this article, we will be focusing on different purposes which Python can be used for, the Versatility of Python language and some of the popular website applications built using Python language.

Let's get started!

Python for Different Purposes.

Here are some of the different domains where Python can be used.

Web Development:

Python has several frameworks that make web development easy and efficient. Django and Flask are two of the most popular web frameworks in Python. Python is also used for building web crawlers and data extraction tools, which are widely used for web scraping and data analysis.

Data Science and Machine Learning:

Python has become a popular language in this field due to its simplicity and availability of several powerful libraries such as Numpy, Pandas, Matplotlib, and Scikit-learn. Numpy and Pandas are used for data manipulation and analysis, while Matplotlib is used for data visualization. Scikit-learn is a popular machine-learning library that includes various algorithms for classification, regression, clustering, and dimensionality reduction. You can read further about these libraries in my previous article here.

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Artificial Intelligence and Deep Learning:

As we all know, it's the era of AI (Artificial Intelligence). Python has become a popular language in this field. TensorFlow and KerasFlow are two popular libraries for building deep learning models. Python is also used for natural language processing, computer vision, and robotics.

Desktop and Game Development:

Pygame is a popular library for building 2D games in python. Python can be used for building desktop applications using libraries such as PyQt and PyGTK. These libraries provide support for building cross-platform desktop applications.

Why Python is Considered the Most Versatile Programming Language.

Now that we are aware of different domains in which Python language can be applied, let us discuss reasons why Python is considered versatile.

Easy to learn (Beginner-Friendly):

Python is considered popular and versatile today because of its easy-to-learn code syntax. Python programming language also has the best code readability as being a high-level language it's also close to human language.

Reliability and Efficiency:

Python language allows faster development time for software developers and engineers, which makes it very efficient. When compared to most programming languages, Python is considered more reliable as it can be used in multiple platforms and systems without any performance loss issue.

Feature-Packed Libraries and Framework:

Python libraries and frameworks help avoid repeating codes from scratch. These libraries are already pre-written and they provide different features when used in Python programs.

Easy to Automate:

Python programming language helps many software industries save a lot of time by helping them automate a time-wasting task. Python language comes with a lot of tools, modules, and libraries which help automate every repetitive task.

Fasten Prototype Development:

Python is considered the best programming language to build a scalable web application that needs to be tested on a small scale, this is because Python is quick and easy to work with. Therefore, developing a prototype for a web application becomes just a matter of days.

An Open Source Tool:

Python programming language is freely usable for commercial use with its source code being contributed by highly skilled developers around the world (Developed under an OSI-approved open-source license). You can easily find python source codes on platforms like GitHub. This does not just make developing using python free but has also ensured help and support from Expert python programmers.

Popular Websites and Applications that are Developed Using Python Language.

Instagram:

This popular social media platform was built using Python and Django web frameworks.

YouTube:

This popular video-sharing platform was built using Python and Google's web framework called 'Bento'.

Spotify:

This popular music streaming service was built using Python and Django web frameworks.

Dropbox:

This popular cloud storage service was built using Python and uses a custom web server written in Python.

Reddit:

This popular social news aggregation website was built using Python and its web framework, called 'Pylons'.

Quora:

This popular question-and-answer website was built using Python and uses its web framework, called 'Pyramid'.

BitTorrent:

This popular file-sharing protocol was developed using Python.

NASA:

Python is used in NASA for various scientific computing tasks and data analysis.

Industrial Light & Magic:

This special effects company is responsible for creating the visual effects for movies like Star Wars and Indiana Jones. It uses Python for its scripting and automation needs.

SurveyMonkey:

This popular online survey tool was built using Python and its web framework called 'TurboGears'.

The above-mentioned are just a few of them, many websites and applications were developed using Python.

Conclusion:
In this article, you have learned why Python is considered versatile, different domains where Python can be applied and some web applications built using Python programming language. If you are looking to explore the versatility of Python language, consider researching more through online courses, communities and tutorials since little information is covered in this article.

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