For a fast and performative websites, it is crucial to choose the right technology stack. A wrong scripting language or framework can lead to redesigning everything from scratch which takes up a lot of time and money.
In this blog we talk about the usage of Python and its frameworks for web development. Python is one of the leading programming languages for web development.
There are numerous tech companies that use Python as their web app framework.
But why is Python popular? Which framework is best for Python? Is Python used by companies that are well-known?
In this blog, we examine the top companies that have chosen Python in their technology stack. With these companies as inspiration, you can develop your own web app using Python.
Table of Content
- What is Python?
- 7 World-class Companies that use Python
- What And Where Is Python Used For?
- Top Python Frameworks
What is Python?
Before we take a look on businesses that have utilized Python, let us learn some basics about the popular language, Python.
Python is an advanced, all-purpose programming language. It was invented by Guido van Rossum and first published in 1991.
Its design philosophy lays emphasis on code readability with its remarkable utilization of major whitespace. Python uses an object-oriented approach that aids programmers in writing logical and clear codes for large as well as small-scale projects.
As per TiobeIndex Statistics, Python is the rapid-growing main programming language in 2022. Python is the most user-friendly language, enabling solutions to various challenges encountered by businesses, be it associated with AI, development, or accessing database statistics.
This validates that Python is the most preferred language for some of the top-tier companies in the industry. Let’s look at the 7 top companies using Python in their technology stack.
7 World-class Companies that Use Python
Despite intense competition, Python, being invented in the 1990s, is still one of the most favorable programming languages used by numerous giants. In fact, a Python developer is one of the highest paid software development jobs.
Owing to its popularity, it influenced numerous successful enterprises to develop apps with Python for backend web development. Being one of the top Python web development companies, we understand how useful and powerful Python is in web development.
The chart below states that these various industries use the software in Python for their dynamic web app development, where Information Technology and Services (8%) and Computer Software (21%) and are the principal sectors.
Let us take a look at top 7 well-recognized companies which use Python.
Google is one of the prevalent tech enterprises across the globe, known for its participation in varied online services, namely, Android, Search, Stadia, Youtube, and more. Being such a giant company, it holds a tech stack of more than one core language, that is, Java, Python, and Golang, where Python is used extensively in-app involvement and support.
According to Peter Norvig, the director of research at Google Inc., “Python has been an important part of Google since the beginning and remains so as the system grows and evolves. Today numerous Google engineers utilize Python, and we’re searching for more people having the skills of this language.”
Google is one of the greatest examples of Python web applications that employed this language in its initial days and still uses it due to its comparatively easy maintenance and simple nature, assisting for express deployments in several areas. The company’s usage of Python extends to search engines, and the functioning of artificial intelligence(AI), Machine Learning(ML), and robotics projects.
As per the author of ‘In the Plex’, Steven Levy, “Google’s very first web-crawling spider was first written in Java 1.0 and was so difficult that they rewrote it into Python.”
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Netflix is a classic example of a company that chose Python programming, owing to its enormous ecosystem of tools that make their system going. The primary business of the company lies in the subscription of its streaming service.
This service supplies online streaming of television programs and films, including those that are produced in-house. Netflix had around 182 million paid subscriptions across the world as marked in April 2020
The company has one of the dynamic softwares written in Python to strengthen the safety of the structure, examine data reports, and alerts.
Netflix uses Python to support machine learning potential that scrutinizes movies, enhances streaming, and pulls out images to exhibit thumbnails. Python is exercised across the system and the most important applications of this language are:
- Security: Python is optimized for risk classification, security automation, vulnerability identification, and remediation.
- Operations: Netflix uses Python libraries such as SciPy, NumPy, to execute the numerical analysis.
- ML: It uses Python for instructing ML models that are utilized for everything from artwork personalization to recommending algorithms.
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Dropbox is the home for all your docs, files, photos, and videos. Have you ever given it a thought that an app like Dropbox can escalate from 2000 to 200 million users?
The entire tech stack of Dropbox was written in Python, and it started employing Go later on. The company pulled the inventor of Python, Guido van Rossum, from Google where he had been serving for years.
After joining as an engineer at Dropbox, he made it feasible to allocate datastores between members of Dropbox community. A lot of the company’s libraries are not open source, so it is difficult to state the level of Dropbox’s dependence on Python.
On the other hand, it released an API quoted in Python, and thus, we can believe that a massive amount of server side code is written in Python.
Stripe is a Fintech start-up that facilitates businesses to allow payments over the web. This company is one of the remarkable Python web app examples that build APIs incorporated into mobile and web apps.
Stripe makes simpler the means by which online businesses handle their transactions. It provides a range of services into subscription management, invoicing, and fraud prevention for companies.
Many Fintech start-ups select Python due to its effectiveness in financial tasks, involved in Fintech products that are allied with calculations and data. The other reason could be that it is the easiest language for financial specialists to study.
Reddit is a collection of social news, web content ranking, and conversation websites. Using Python, Reddit is ranked as the 19th most visited site across the globe, as per Alexa Internet, with approx 55% of its users from the US, 7.4% from the UK, and 5.8% from Canada, as recorded in May 2020.
Reddit is immensely inspired by Python and its enormous compilation of libraries by steadily implementing a greatly modified variant of each library adopted.
Instagram is a photo and video-sharing social media or networking platform possessed by Facebook, Inc. It is one of the most renowned companies who use Python language in association with Django and in recent times, it has adopted Python 3.
Its ‘Stories’ feature is utilized by approx 500 million active users daily, as reported in January 2019.
The prime reason for Instagram to opt for Python is its efficiency, simplicity, and practicality. For any booming company, these specifications are exceptionally important.It is a ‘friendly’ language to engineers, which allows them to focus on vigorous features.
Instagram thought of switching to PHP, but after several considerations, they sensed that Python would serve them best. However, they resolved their confusion by adding extra AWS machines, and currently, the dynamics are affirmative.
Spotify is one of the most renowned Python app examples that is used for examining data and backend development. This music streaming and media services provider has 286 million monthly users, including around 130 million paying subscribers, as of April 2020.
Spotify exercises Hadoop for their big data and Python package called Luigi that coordinates with Hadoop. Luigi manages how its libraries work and merge error logs to repair bugs speedily. Such a package is utilized with machine learning algorithms that maintain features like Radio, recommendations as well as discovery.
Spotify uses Python because it amplifies the speed of the development process and they invest profoundly in the advancement of the language by sponsoring several conferences.
What is Python Used For?
It is a versatile language and applications developed in Python can be used in varied disciplines. It is employed for a diversity of tasks, like artificial intelligence, machine learning (ML), data analysis, and automation.
Generally, Python is used for automation and scripting purposes.With Python being a popular language, you can build a robust web, desktop, and mobile applications, and also execute QA testing.
Let us observe what Python is utilized for:
REST, API and Web Development
The inhabitant libraries of Python along with innumerable web frameworks facilitate Python developers to build the software fast and hassle-free. Also, the potential of the Python programming language is quite remarkable.
It is highly possible to apply everything, initiating from basic APIs, REST, in Python language, and finishing with multifarious websites.
As we already know that Python is an object-based programming language and in that order, everything is an object here, including modules and libraries. Owing to this fact, this core language has the ability to generate codes efficiently.
This means that the software can influence its functions. Another reason companies prefer Python is that it supplies the software engineers with the type of scalability that is hard to attain when we use other languages.
Data Science and Machine Learning
In the present IT industry, progressive data analysis is one of the most significant and quickly developing spheres.The languages are used in computer programs to execute algorithms and cover manifold applications.
Python is the most demanded data science programming language on the planet these days. It is quicker and a better alternative for data manipulations.
Data learning and processing are becoming easier due to the packages compiled in Python.
Furthermore, Python makes it simpler for programmers to interpret the data in a spreadsheet by forming a CSV output. For data analysis, Python is usually preferred because its libraries, which are majorly involved in ML and data analytics, have Python interface.
Top Python Frameworks
Based on the kind of key features and functionalities, here are the top Python frameworks, that provide consumers, both micro-frameworks and full-stack frameworks:
Django web framework is an open-source and free full-stack Python framework that contains all the essential features by default. It abides by the DRY principle, which states ‘don’t repeat yourselves’.
It uses object-relational mapper (ORM) mappers to locate objects to its database tables. An ORM is a Python code library that aids you to control the data from the database by exercising object-oriented concepts.
The core databases that Django functions are MySQL, PostgreSQL, Oracle, and SQLite. It can also work well with other databases by means of third-party drivers.
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Flask is a microframework for Python. It is said so due to its lightweight and compatible design that makes it effortlessly adjustable to the companies requirements.
Some of its exemplary features are high-speed debugger, in-built development server, RESTful request dispatching, secured cookies support, jinja2 templating, capacity to plug an ORM, to name a few.
Web2Py is a scalable, open-source, full-stack framework for Python programming. It usually does not hold up Python 3 and renders its own web-based integrated development environment (IDE). This comprises a separate one-click deployment, debugger, and code editor.
It has the capacity to function on various platforms. That is, a Python developer can develop a cross-platform web application that works on Mac, Windows, and Linux, to name a few.
This Python web framework aids data security against susceptible issues like cross SQL injection, site scripting, and other malevolent attacks.
CherryPy has the minimalist way and is an open-source framework for developing web applications. It creates Python based web apps similar to scripting an object-based program.
It allows using any sort of technology for forming data access and templates. This Python microframework can manage cookies, sessions, file uploads, and statics.
Bottle is generally meant for constructing APIs and is a Pythonic microframework. It puts into practice everything into a particular source file and has no dependencies.
It is ideal for constructing prototyping and simple personal applications.Some of the prominent features of Bottle that can be useful to tech companies are templating, routing, built-in development server, supporting other WSGI-capable HTTP servers.
Frequently Asked Questions
Why use Python for web development?
The various benefits of using Python that aid you in availing faster web application development are its coding requires less time to write because it has clean and simple syntax, in-built code libraries for machine learning, image, and data processing. Moreover, it has a framework for unit tests that aids you send bug-free codes.
Which websites use Python?
Several successful IT companies are choosing Python for backend development. Some of the big companies which use Python are Facebook, Instagram, Netflix, Stripe, Spotify, Reddit, Uber, Dropbox.
Is NASA using Python?
NASA is employing Python to put into practice a CAE/CAD/PDM depot and model administration, incorporation, and conversion system which would be the fundamental infrastructure for its upcoming generation concerted engineering setting. In addition to this, it is the development language for OpenMDAO, a framework which is formed by NASA for resolving multidisciplinary design optimization issues.
From this blog, we have analyzed that these top innovative companies have apps built with Python. You can see that in the current times, Python has been one of the most admired programming languages.
Besides, it is extremely adapted in rapid-developing fields like internet usage and media, finance, and computer software.Websites that use Python exercise its huge compilation of libraries, elevated scalability, and frameworks, comprising quick development and developer-friendly nature.
Python is believed to be a fit for an app that scales horizontally, takes advantage of the cloud, comprises ML and data science.
Contact us, if you require a Python web development company that is experienced in developing custom Python solutions.