Python has progressed as one of the most multipurpose programming languages in the era of technology. Presented in 1991, it has become one of the most preferred languages for start-ups, developers, and some of the giant companies for several vital reasons.
The web apps built using Python provide a robust result in the field of desktop GUI, game development, audio, and video applications, artificial intelligence, data visualization, and data science.
Python’s pattern philosophy accentuates code readability with its prominent usage of substantial indentation. Its object-oriented tactic aims to aid software developers to write logical and clear code for small as well as large-scale web development projects.
In this blog, let’s understand Python programming and apps that are built with it in detail.
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What Is Python Programming?
Python is an object-oriented, interpreted, and high-level programming language with active semantics. The high-level inbuilt data constructions, united with dynamic binding and dynamic typing, make it attractive for Rapid Application Development. It also makes it alluring for the usage as a glue language or scripting to link prevailing components together.
Python has an easy-to-learn and simple syntax that emphasizes readability. In this way, it diminishes the rate of program maintenance. Python frameworks support packages and modules, which encourages code reuse and program modularity.
Guido van Rossum started working on Python in the 1980s, as a descendant of the ABC programming language and released it in 1991.
The extensive standard library and the Python interpreter are obtainable in binary or source form without the charge for all key platforms and can be distributed freely. Python renders numerous useful features which make it valuable and popular from the rest of the programming languages.
Below is the list of a few vital features:
- It supports object-based language and notions of object encapsulation and classes.
- It is open-source which states that its source code is obtainable to the public.
- It is an extensible language which means that we can write some Python code into C++ or C language and we can accumulate that code in C++ or C language.
- Graphical User Interfaces can be formed utilizing a module such as PyQt4, PyQt5, or wxPython in Python.
- It is a dynamically typed language.
- It has a huge standard library which supplies a rich collection of functions and modules so that developers do not have to write code for every single thing.
- It is an integrated language as we can integrate Python with other available languages like C and C++ easily.
8 Best Apps Built With Python
As a multi-purpose language, Python permits developers to develop software applications using Python approaches, comprising both functional programming and object-oriented programming. Several of today’s most efficacious companies chose Python for the backend of their site.
Let’s take a look at 8 best applications built using Python:
Dropbox is a popular web based hosting service that presents the choice of file synchronization, cloud storage, client software, and personal cloud. The users who are willing to access any file on their computer devices from any situation, select Dropbox, a Python-based storage scheme.
Dropbox is accessible for iOS, Android, Windows, Linux OS, and Mac. It took the initiative to coordinate and share the files across many devices using the cloud.
Its software engineers state that using Python renders readability, strong support, and ease of memorizing. Python delivers a constant and rapid development cycle. Hence, any new features can be employed, deployed, and tested quickly.
The globe’s biggest music streaming service, with yearly revenue of around €4 billion is Spotify. It is a chief market player and one of the top Python users amongst businesses. The company opted to function with Python because of the advanced data analytics and development speed that the language presents.
This empowers Spotify to manage functions such as Discover and Radio, which are completely based on the personal musical choices of the users.
This platform had approximately 124 million paid subscribers in 2019. Its market cap in the initial of May 2020 was $26.9 billion. In one of its article, Spotify discusses why it uses Python for its project development and articulates:
“Speed is considered to be a big focus for Spotify. Python suits well into this mindset, as it brings us big victories in the speed of project development. We also make huge usage of Python frameworks to aid services that are IO-based.”
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Pinterest is a social media network that permits its users to find and save any information on the World Wide Web. This image-based platform saves your data in the form of GIFs, short videos, and images. With a dynamic user base of around 335 million, it has a robust existence and user engagement for various topics like technology, fashion, science, food, and DIY.
People use this platform for subscribing to other users and sharing boards. The team of Pinterest picked Python and a deeply modified Django form at the chief phases of building the mobile and web application.
Django and Python aid Pinterest in influencing user experiences, ensure quick push notifications, photo updates in real-time, deal with huge amounts of content, and cope up with the mounting rate of users.
Uber is well-known for its incredible car hail and ride-sharing services. This company is situated in San Francisco and has operations in 900 metropolitan areas globally. In 2009, its backend scheme was created in three major languages. And Python was one of them owing to its capability to run any complex code at a great speed.
The preference of the language has not altered since then. The team uses a Python-oriented web framework to guarantee a better association between Uber drivers and passengers.
Additionally, Uber uses Tornado and Python for the fresh services. The company is projected to have 93 million active users per month internationally. It has around 71% market share for its ride-sharing and around 22% market share for its food delivery services in the United States.
Quora is a platform that permits all internet users to ask queries, answer, and edit them, either in the form of opinions or factually. There are over 300 million monthly users on Quora with around 15,000 answers presented on the platform daily.
The Quora engineering team chose Python as they were confident that this language would keep emerging in the route that they saw as upright for their codebase. 8 criteria led Python to benefit:
- Solid ecosystem
- Simple syntax
- Ability to develop extra functions utilizing fewer code lines
- Efficiency for creating backend and frontend
- Constructing programs with better interoperability
- Fewer efforts, fast development, and cutting of budget expenses
Python is a big part of the Facebook technology stack comprising 21% of the codebase. Facebook got upgraded to 3.4 and has issued open-source projects exclusively for Py3. The team of Facebook can decrease the quantity of code with Python. Additionally, they extended the efficiency of the app and infrastructure’s consistency.
Python is also used in some imperative Facebook services. It employs Tornado for managing several connections all at once. Tornado is very similar to Django in terms of providing security and ensuring user authentication. With the usage of Tornado, the users’ news feed gets updated timely. So far, Python has been helpful in:
- Facilitating full-scale positioning
- Endorsing communication amongst the network devices
- Helping in burn-in testing
- Assisting in server imaging
- Empowering auto-remediation
- Identifying manifold faults
- Examining the work of servers
- Mechanizing maintenance work
Reddit is a web content rating, discussion, and social news aggregator platform. It allows its registered members to submit their content in the type of text posts, links, and images. And this can be further downvoted or upvoted by several other members. As of February 2018, with around 542 million visitors per month, it is one of the most inspiring Python app examples.
It is immensely popular as the front page of the internet and has around 330 million per month. Exercising localization management software, the users help interpret Reddit into 89 diverse languages. Moreover, Python administers complex functionality and the workload owing to its ‘batteries included’ method.
Instagram is the most popular social networking site that permits its users to take videos and photos, edit them with varied digital filters, and share them with their followers on the platform. It is one of the most successful Python application examples.
Instagram app altered the sphere of digital photography, made it more accessible and widespread, instant defined new rules in marketing, and expanded lines of creativity.
With around 400 million active users in a day, Instagram negates any idea that applications developed in Python are not certainly scalable. Instagram engineer Hui Ding said that their engineering slogan is ‘Do the simple things first’ – and this is what Python sanctions its developers to do.
For everyone, it is simple, clean, user-friendly, and supports pure logicality. As it is so popular, expanding any engineering team is much easier.
Why Is Python So Popular?
Python is a garbage-collected, dynamically typed, open-source language. It supports manifold programming models, including object-oriented, structured, and functional programming. As per the TIOBE index, which positions programming languages based on their fame, has ranked Python number 3.
It is also the fastest-growing language in the best 50. Below are some of the reasons stating why Python is a popular language:
The Python programming language is extremely flexible. It gives the developers a chance to try something innovative. An individual who is proficient in this language is not just restricted to form similar types of things but can also try to make something unique.
For those who prefer to function in the latest technologies, they can turn out to be experimental in the projects just by acquiring knowledge of this single language.
Machine Learning, Cloud Computing, And Big data
Machine Learning, Big Data, and Cloud Computing are some of the most modern trends in the computer science biosphere, which aids many organizations to renovate and advance their workflows and processes.
Various data processing jobs in tech companies are driven by Python only. The research and development take place in Python owing to its several applications, comprising the organization of the usable data and ease of analyzing. Numerous Python libraries are being utilized in various machine learning systems every day.
Efficiency, Speed, And Reliability
Python can be utilized in almost any sort of setting and the developer will not face any type of performance loss. It can be employed in many diversities of environments like desktop applications, mobile applications, hardware programming, and web app development.
The adaptability of Python makes it more striking to utilize due to its huge number of business applications.
Several Frameworks And Libraries
Due to its huge supportive community, Python has outstanding libraries that developers can exercise to choose and save their effort and time on the primary cycle of project development. Many cloud media services deliver cross-platform support via library-like tools, which can be tremendously beneficial.
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Benefits Of Python In Web Development
As an object-oriented language, Python’s ever-growing reputation and its capability to emphasize Rapid Action Development, has inspired countless emerging start-ups and organizations, to select it as the first-choice language for web applications development.
Below are some of the key advantages that depict what is Python used for:
Develop More Functions With Less Coding
A multidisciplinary website can go a long way in generating that significant first impression on your clients. That is where Python web development marks to be efficient and reliable. Also, it can include more alternatives through extra functions. You can quickly achieve more without investing too much time and with very little coding.
The noteworthy importance of Python for a start-up or an established business is its support for multi-tasking. It can work simultaneously on intricate issues like data security, which makes it one of the most reliable programming languages in the market.
Extremely Easy To Learn
As far as ease of learning and usage is concerned,
Python is very easy to understand and is extremely user-friendly. In addition to this, it is easy to employ and supports developing responsive and strong websites.
Enhance Productivity And Speed
Python adds worth by supporting enriched procedure control abilities. This increases its productivity and speed. When it comes to developing multifarious websites which require to be enormously rapid in reply, Python for web app development is the instant answer.
Frequently Asked Questions
When to use Python?
Python is a high-level and universal and programming language. The developers can use Python for building websites, web applications, and desktop GUI applications. Also, it permits you to aim at the essential functionalities of the app by taking care of general programming tasks.
Why is Python so popular?
Python is popular because it is much easier to learn and employ. It has numerous frameworks and libraries and is supported by a supportive community. It is known for its efficiency, versatility, speed, and reliability. The usage of Python is escalating in the field of cloud computing and big data as it is the first-choice language amongst developers.
What companies use Python?
The companies that use Python are Spotify, Facebook, Netflix, Quora, Dropbox, Instagram, and Reddit.
Python app development is extremely flexible and fast. The apps using Python are easy to create owing to the versatility of Python’s code. Have a web app idea? Contact us to get Python software development services and build scalable, complex, and efficient apps that can add value to your company.
This programming language provides various kinds of libraries that are accessible for dissimilar types of app development. It can be used to perform complex mathematics and handle big data. Moreover, it can be employed for production-ready software development and rapid prototyping.