There are many leading companies using Python to build apps for backend web development due to its widespread use. Because we are one of the top Python web development firms, we understand how essential and influential Python is in web development. Python has repeatedly demonstrated its versatility as an all-purpose programming language by offering solutions to various business problems.
Python has become a go-to language for modern businesses, and for good reason. Its versatility and flexibility make it a valuable tool in a variety of industries, from finance and healthcare to tech and marketing. In this article, we’ll explore why Python has become such a popular choice for businesses and highlight some of the ways it can be used to improve operations and drive growth.
We should start at the beginning and learn some details about the Python language before moving on to the businesses that use it and the odd reasons they do so (if you don’t need this basic knowledge, scroll down to the main topic). Python was developed in 1991 and is an object-oriented, adaptively semantic programming language.
Python has become one of the most popular programming languages in recent years, with businesses of all sizes adopting the language for its versatility, simplicity, and ease of use. Many big companies have also embraced Python and have used it to power their operations, from managing massive data sets to building custom machine-learning models. In this article, we’ll take a closer look at some of the top companies using Python and explore how the language is driving innovation and efficiency in their businesses.
Multinational Corporations (MNCs) using Python
Many leading companies using Python programming for their organizational work. The top 10 leading companies that uses Python are:
The fact that Google is involved with so many online services, including Search, Android, Youtube, Stadia, and many others, makes it one of the biggest tech companies in the world. A company of this size typically has a tech stack with multiple core languages, such as Python, Java, and Golang, with Python receiving the most attention and support.
Python was integrated by Google early on and is still used today because it is concise and relatively quick to maintain, enabling rapid deployments across a wide range of its applications. Services like YouTube, the search engine, and the application of machine learning, artificial intelligence, and robotics projects are just a few examples.
As the first-ever social media platform that stirred up the competition and rose to the top, Facebook has evolved significantly. Part of the reason behind this is the adoption of Python in its technology stack. Facebook regularly contributes to the Python development community with bug fixes and new features for the platform’s improved functionality. It is one of the biggest companies using Python in 2023. The technology stack of Facebook also includes PHP and C++. Facebook uses many Python packages in several areas, Such as:-
- MachineChecker, FBAR, FBOSS, Cyborg, and TORconfig for Production Engineering
- Osmosis, Job Engine, FBTFTP, and fbpkg for Platform Services
- For Service Configuration Management, use Configurator.
- Slow roll Orchestrator, MySQL Pool Scanner, for Managing Operational Efficiency
A trendy photo and video-sharing platform, Instagram uses Python to achieve maximum operational efficiency using a famous Python framework, Django. The motivation for this, the most extensive Django implementation yet, was the framework’s simplicity and dependability.
The performance gains with PHP weren’t compelling enough for the developers at Instagram, who also appear to prefer Python over PHP as their preferred baseline programming language. Instagram is impressed with Python, as the company even switched from Python 2 to Python 3 over ten months.
Because it is widely accessible and has an incredible selection of music for all moods, Spotify is millions of people’s preferred music streaming service. Spotify extensively uses Python for various purposes, such as data analysis and service-to-service communication using ZeroMQ. Spotify uses Hadoop to manage the vast amounts of data it collects to power its recommendation system.
Luigi, a Python package for batch-processing tasks, is used to process the data as it is processed. The quick development cycle and the ease with which services interact with one another are additional arguments for choosing Python over competing languages. The companies using Python often focus on one Python Package or Library and maximize their application speed with the code.
On the well-known question-and-answer website Quora, hundreds of questions are posted daily and answered by some of the world’s most innovative individuals. Quora chose Python due to its effectiveness, speed, and user-friendliness. Quora uses the Tornado framework, Pypy, and numerous other Python libraries.
Quora overcame Python’s lack of type-checking by creating thorough unit tests. Benefits such as reduced development time, increased scalability, developer friendliness with better code readability, and the availability of many libraries convinced them to choose Python over the other two potential candidates, C#, Java, and Scala.
Netflix, the world’s most popular video streaming service, is a big fan of Python and uses it as much as possible. Since its inception, Netflix has been very open about using Python and other libraries. Python implementations can be found in almost every subsystem, including:
- Security: The Simian Army is a set of tools that simulates failures and tests the system’s reliability, assisting in planning recovery measures for system failures.
- Alerts: The Central Alert Gateway distributes all alerts to the appropriate teams.
- Data Analysis: NumPy and SciPy libraries perform numerical data analysis.
Python powers most of the services and desktop clients of the online file-sharing and storage company Dropbox. Dropbox was so pleasantly surprised with Python that they convinced Guido van Rossum, the creator of Python, to join the Dropbox team to improve their platform.
Although proprietary, the company also provides a Python SDK to developers who want to integrate it into their Python app, demonstrating their belief in the platform. Dropbox developers also confirm that most server-side code is written in Python.
With millions of users and billions of topics, Reddit, one of the largest microblogging websites and the self-proclaimed first page of the internet, is the place to go if you want to gather information about anything. Reddit draws heavily on Python and its extensive library collection, gradually implementing a highly customized variant of each adopted library.
Amazon, a leading online marketplace, employs Python in several areas of its platform. Implemented in the product and deal recommendation system, Amazon analyses customer purchasing and habits and recommends products using Artificial Intelligence and Machine Learning. Because Amazon deals with massive amounts of data, technology to manage that data was required.
Python stepped in with its high scalability and ability to integrate seamlessly with other technologies like Hadoop. Another example of Amazon using Python is Jupyter notebooks for various use cases, including Machine Learning and automation in AWS resources.
Uber, a multinational company that allows you to book rides to your favorite destinations, uses Python at the lower levels, along with Node.js, Java, and Go. Most of its services are still powered by Python, including the business logic and all calculations, including the middle and top levels, such as calculating ETA, ride fares, geo-locations, and demand and supply.
Uber claims to use Tornado with Python but commonly swaps it out for Go to achieve higher concurrency throughput. Uber also creates visualization frameworks for Python, R, and Shiny and employs Jupyter notebooks for all data analysis tasks. Uber is one of the smartest companies using Python as they have made the most out of Python’s exquisite libraries.
Why do these companies prefer Python?
Python is used for automated processes and scripting. It still does, but there are some new areas where this language’s power is called upon. So let’s look at some current Python applications and the advantages of using Python.
Data science and machine learning with Python: One of the most significant and quickly expanding segments of the modern IT sector is advanced data analysis. Python is a good choice for data analysis because it is the language used by most libraries for machine learning and data science. O
Python for REST APIs & web: Python’s native libraries and a wide range of web frameworks enable programmers to create software quickly and effectively. Python programming language has some impressive capabilities. Everything can be implemented, from straightforward REST APIs written in Python to intricate websites.
It’s important to note that the most recent Python version has received some significant asynchronous operation-related improvements. It means that websites powered by Python can manage many requests each minute.
Meta programming with Python: As already mentioned, Python is an object-oriented language, and everything in it is an object (including libraries and modules). As a result, the language can produce code effectively. It implies that software is capable of altering its operations. It offers programmers a level of scalability that is difficult or even impossible to obtain when using other languages. This is one of Python’s additional advantages.
We have discussed the top million dollar companies using Python for their app development and more. Python has become one of the most popular programming languages. It is also well-suited to rapidly changing industries, such as internet and media usage, economics, and computer software. Python-based websites benefit from an extensive library of libraries, increased scalability, frameworks, rapid development, and developer friendliness. Suppose the success of a large corporation is any indication of how effectively your organization can benefit from Python. In that case, these top global corporations that use Python may have achieved their goal successfully.
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Frequently asked questions (FAQs)
What is the purpose of Netflix’s usage of Python?
Netflix’s information security team employs Python to perform a variety of critical tasks, including risk classification, vulnerability identification, security automation, and auto-remediation, to name a few. It is one of the few large companies using Python for their crucial tasks.
Is Instagram using Python?
Instagram uses Python to build the “business logic” required to serve 800 million monthly active users in one of the most expansive settings on the planet. CPython, the Python reference implementation, is the runtime we use to execute our code.
Is it worth studying Python in 2023?
Python will be helpful in 2023. According to Statista, 48.24% of developers worldwide use Python. Python is also ideal for most businesses’ needs because it facilitates the smooth execution of their activities. You will be able to pursue job opportunities at companies using Python.
Which industry employs Python the most?
Insurance, retail banking, aerospace, and finance are just a few industries that use them. When it comes to Artificial intelligence and cyber security then Python is the first choice. Well, it can be used by anyone for almost everything from excel to coding a aircraft, yes, python is a powerful programming language.