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Examples of Global companies that use python in 2023

Global companies that use python

Python has emerged as one of the favored programming languages. It has high code readability, a comprehensive standard library, and automatic memory management. Over the years, it has gained great popularity in academics, web development, scientific research, and other domains.

Python is growing its publicity by 27% year after year. Let’s dive deeper, observe and match the growing pace of Python in today’s industry.

To gain a clearer insight into the potential applications of Python for your business, it can be helpful to examine how some of the world’s leading companies have utilized the language.

Here are 15 global companies that use Python:

  1. Amazon
  2. NASA
  3. Google
  4. Facebook
  5. Netflix
  6. Stripe
  7. Dropbox
  8. Instagram
  9. Uber
  10. Quora
  11. Pinterest
  12. Reddit
  13. Spotify
  14. Instacart
  15. Industrial Light and Magic

In this piece, you’ll gain insights into Python as a programming language and how it’s integrated into the technology stacks of major companies. Keep reading to discover more!

Table of Contents

What is Python?

Python is a high-level, interpreted programming language. It is a dynamically typed language where the variable types are determined at runtime, and differs from static languages.

The language’s simple syntax makes it easy to learn and reduces the maintenance cost. Python supports modules and packages, and promotes program modularity with reusable code. The standard libraries which are available in binary or source form, can be freely distributed across the network, and are available across platforms.

Python was created in the late 1980s by Guido van Rossum. He used to work in the Amoeba Operating System at Dutch National Research Institute for Mathematics and Computer Science (CWI).

The limitations he faced while programming made him frustrated, and this resulted in creating Python. He compared his creation with the British comedy group Monty Python.

Also read: 10 Question You Must Ask Before Hiring A Freelance Developer 

Guido van Rossum creator of Python.

Fun Fact: Python was named after the Monty Python comedy troupe because Guido van Rossum was a fan.

A brief timeline of Python Programming

Python released its 1st version in 1991 and gained popularity organically. In 1994, Python’s version 1.0 was released with new features like functional programming and modules.

Python version 2.0

In 2000, Python 2.0 was released with more features – object-oriented programming, regular expressions, Unicode support, and list comprehensions. In the year 2008, Rossum stepped down as BDFL (Benevolent Dictator For Life) and shifted the ownership of further releases to a group of volunteer contributors and a development team, who could improve the language as per the programming requirements of the time.

Python’s version 3.0

In 2008, Python’s version 3.0 was released with some new features – Unicode support, simplified syntax, and changes in how strings are handled. It was used in almost 64.7% of the websites. This version became controversial because the latest updates weren’t compatible with Python’s older versions.

It might also be worth noting that Python 2.x versions are no longer supported, and that developers are encouraged to migrate to Python 3.x.

Despite the discrepancies in the PR, Python never failed to become one of the top programming languages for developers. It is now widely used with various applications, such as machine learning, data science, and web development.

Its toolkit keeps on making the lives of developers/programmers stress-free. It is used in almost 1.5% of server-side programming websites.

What are the Advantages of Using Python?

Powerful Machine Learning and AI Libraries

Python has been ubiquitous in the spheres of Data Science and Machine Learning. It helps in data cleaning, preprocessing, and the construction of sophisticated Machine Learning models. Both TensorFlow and PyTorch (libraries of Python) have emerged as indispensable resources for developers to build AI-based applications. It is one of the standing premiere languages for AI development and Machine Learning.

Enhanced Productivity

Python is an exceptionally proficient language. Its design language helps programmers enhance their problem-solving abilities. The simplistic design helps developers concentrate on resolving the issues standardized rather than leaving them stuck on complex equations.

Such attributes of Python boost productivity, making developers choose it over other programming languages. Python is particularly well-suited for tasks, such as web scraping, data visualization, and automation.

Easy to Use

Python’s syntax is created to read and write codes effectively. It is one language developers choose while beginning their journey in programming. Since it is an interpreted language, developers can run each line of code and debug them along the way.

Active Community

Python has the largest and the most active community of developers. They contribute to developing open-source packages and modules. Beginners or existing programmers can easily install such pre-built models to avoid writing codes from scratch.

They can easily utilize such models by changing the existing code in line with their projects. Developers with open-source libraries can help others who require help by answering their doubts and providing suggestions.

Some popular Python Open source liabraries are:

  1. NumPy – Library for numerical computing.
  2. Pandas – Data analysis library.
  3. Matplotlib – Data visualization library.
  4. Scikit-learn – Machine learning library.
  5. TensorFlow – Library for deep learning.
  6. Keras – High-level neural networks API.
  7. PyTorch – Open-source machine learning library.
  8. OpenCV – Computer vision library.
  9. Flask – Web application framework.
  10. Django – Web framework.
  11. Beautiful Soup – Library for web scraping.
  12. Pygame – Library for game development.

Cross-Platform Compatibility

Python’s cross-platform compatibility makes it one of the best programming languages. Its code isn’t compiled into machine codes; instead, a software program, i.e., Python Interpreter.

This makes it easy for other operating systems, such as Linux, Windows, macOS, FreeBSD, Ubuntu Long Term Support, CentOS, etc., to run a program, making Python a compatible programming language. It can be used in various web and mobile servers and desktop applications.

Dynamically Typed

Determining a variable in a code becomes easy with Dynamic Typing. Python allows programmers to assign value to a variable and store it in a memory location. Because of this, developers can avoid assigning variables again and again. This allows the code to access the memory container by calling out a variable name whenever required.

Embeddable

Python has the ability to embed its code extensively into other languages. As a developer, you can easily put your Python code in the source code and use it in other programming languages. Python’s C API allows it to incorporate Python as a scripting language.

This helps developers to extend the functionalities of the applications. Its capabilities extend to web development as it can be integrated into web servers like Apache and Nginx. This allows developers to create web applications on Python as the back-end language.

Also read: OKRs for your software development team

Global Companies that Use Python

Python is a powerful and widely utilised programming language with many prominent users. Python is used by companies like Dropbox, Quora, Uber, Airbnb, NASA, Pixar, Netflix, Facebook, Spotify, Instagram, Pinterest, Reddit and a number of other big companies. Google uses Python for various purposes such as building their web crawlers, data analysis, and machine learning.

Python has also been employed in the creation of numerous well-known software applications. The initial BitTorrent client, for example, was developed in Python. Python is also commonly used as a programming language to operate Maya, the industry-standard 3D modelling and animation software.

Let’s discuss discuss more on how Python in production has created global marvels for customers worldwide.

Google

For a search engine to work flawlessly for users around the globe, Google stood above the rest with the help of Python. The developers of Google maintained and developed the website using both C++ and Python. C++ for memory control where low latency was required, and Python was used to maintain the website and steady fast delivery of responses. Most scripts were written in Perl and Bash, but those were recorded in Python because of the ease of their deployment.

One fun fact, the first web-crawling spider was written in Java 1.0, but it became difficult for developers/programmers to maintain it.

Hence they re-wrote it into Python. Python has now become one of the official server-side languages for Google.

Another fun fact, Guido van Rossum, the creator of Python, himself worked with Google from 2005-2012.

Instagram

Instagram is one of the most popular social media companies that use Python, which makes it accessible to users across the globe. It has the capacity to handle a database of more than a billion users. It was built using Python and Django frameworks. Instagram uses Python for business because it can handle business logic to help maintain 80 million monthly active users.

The back-end of Instagram is primarily written in Python, and the front-end was built using JavaScript. It helped build a dashboard to handle requests, manage databases, and data processing.

NASA

The National Aeronautics and Space Administration is responsible for building, managing, controlling, and running civilian space programs and aeronautics research. Their day-to-day activities include data processing and analysis, which Python perfectly handles.

NASA uses Python’s libraries NumPy, SciPy, and Pandas for scientific computing and data analysis. It helps in processing large amounts of data and generates valuable insights. Python also helps in automation tasks such as data collection and time management. The scripts deployed using Python help automate various tasks, saving time and reducing errors.

Spotify

Spotify is a music platform that helps users listen to a global music library, create a playlist, react to songs, and interact with other users. It is one of the global companies that uses Python to build a back-end that helps resolve platform issues.

Python for business in Spotify helps in tasks like user authentication, management of databases, data analysis, and more. It uses Python libraries like Flask and PyMongo to build web applications and manage tasks. The backend is built with ZeroMQ and connected to a custom messaging protocol to multiple independent services.
Spotify relies on Luigi, an ETL (Extract, Transform, Load) tool based on Python. Luigi allows developers to schedule, manage and monitor batch jobs.

Also read: Your roadmap from a junior software developer to a team leader

Reddit

Reddit is an online news aggregation and discussion portal where people across the globe share content on diverse topics. For such a platform to stay active for the users all the time requires a steady backend to manage issues.

Python fulfills multiple objectives for Reddit in the spheres of web development, data analysis, and machine learning. Its system was built using Python web framework Pylons. The developers used extensive libraries such as Pandas, NumPy and Matplotlib which helped perform functions like data analysis and visualizations.

Apart from that, TensorFlow, Keras and Scikit-learn were used to work around machine learning tasks such as text classification, image recognition, and recommendation systems.

How Python is used in big companies?

Python can be used for a wide range of applications, and these companies use it for various purposes, such as:

  • Data analysis and machine learning: Companies such as Google, Amazon, and Spotify use Python for data analysis and machine learning applications. Python’s libraries such as NumPy, Pandas, and TensorFlow make it easy to work with large datasets and build predictive models.

  • Web development: Companies such as Dropbox, Instagram, and Reddit use Python for web development. Python web frameworks such as Django and Flask make it easy to build scalable and secure web applications.

  • Automation: Companies such as Google, Amazon, and Dropbox use Python for automation. Python’s simplicity and ease of use make it ideal for building scripts that automate repetitive tasks.

  • DevOps: Companies such as Netflix, Spotify, and Amazon use Python for DevOps. Python’s libraries such as Fabric and Ansible make it easy to automate deployment, configuration management, and orchestration tasks.

Conclusion

Python is one of the world’s preferred languages. Its versatility helps programmers/developers achieve the best outcomes in their day-to-day, from minor to major tasks. From 1980 to 2023, Python has grown its usability across various fronts. We’ve learned the multifacet benefits of Python, understood its scope, and valued Python in production – creating the world’s best customer-serving websites.

Are you looking for a Python developer for your organization? We will help you hire one for your organization. Connect with us to know more.

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Frequently Asked Questions

Python is used in many different industries, including technology, finance, healthcare, and education, among others. However, the technology industry is perhaps the largest user of Python. This is because Python has a wide range of applications in software development, from web development and data analysis to machine learning and artificial intelligence.

Here are seven well-known apps that were made using Python:

  1. Instagram: Instagram, the popular photo and video sharing app, was built using Python and the Django web framework.
  2. Spotify: Spotify, the music streaming platform, uses Python for a range of tasks, including data analysis and backend services.
  3. Dropbox: Dropbox, the cloud storage service, is built using Python and the Flask web framework.
  4. Reddit: Reddit, the social news aggregation and discussion website, is built using Python and the Pylons web framework.
  5. YouTube: As mentioned earlier, Google’s subsidiary, YouTube, uses Python for a range of tasks, including their backend system.
  6. Quora: Quora, the question-and-answer website, was built using Python and the Django web framework.
  7. SurveyMonkey: SurveyMonkey, the online survey platform, uses Python for data analysis and machine learning tasks.

There are many multinational corporations (MNCs) that use Python for various purposes such as data analysis, machine learning, web development, automation, and more. Some of the well-known MNCs that use Python include Google, Facebook, Netflix, Dropbox, Instagram, and Amazon.

Python is in demand in several fields, including:

  • Data Science and Analytics: Python is widely used for data analysis, visualization, and machine learning.
  • Web Development: Python’s ease of use and vast library ecosystem have made it a popular choice for web development.
  • Artificial Intelligence and Machine Learning: Python has become a go-to language for AI and machine learning projects.
  • Automation and Scripting: Python’s simple syntax and powerful libraries make it an ideal language for automating tasks and writing scripts.
Jisha Panicker

Jisha Panicker

Jisha Panicker, the Head of HR at ellow, a platform specialising in tech recruitment, brings with her over 10 years of experience in diverse aspects of HR. Learning agility, resilience, and grounded optimism are the three distinct qualities that have proven instrumental in her success. She is a fitness freak, an occasional reader, and loves dancing and driving.
Jisha Panicker

Jisha Panicker

Jisha Panicker, the Head of HR at ellow, a platform specialising in tech recruitment, brings with her over 10 years of experience in diverse aspects of HR. Learning agility, resilience, and grounded optimism are the three distinct qualities that have proven instrumental in her success. She is a fitness freak, an occasional reader, and loves dancing and driving.
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