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  1. Netflix. Netflix uses Python in a very similar manner to Spotify, relying on the language to power its data analysis on the server side. It doesn’t just stop there, however. Netflix allows their software engineers to choose what language to code in, and have noticed a large upsurge in the number of Python applications.

    • Google: Scalability, Automation, ai, and Data Management
    • Netflix: Data Science and Data Reports
    • Glovo: Data Learning and Dynamic Semantics
    • Tinder: Scalability, Flexibility, Machine-Learning
    • Opendoor: Business Logic and Algorithm Training
    • Reddit: UX, and Infrastructure Automation
    • Amazon: Web Frameworks, Big Data, and Security Automation
    • Salesforce: CRM ai, Business Logic, and Scripting
    • Datadog: Data Capture, Analysis, and Integrations
    • Spotify: Web Framework, Web Development, Machine Learning, and Scalability

    By far one of the largest and most well-known companies on the list, Google uses Python across a diverse spread of applications and has done so since its fledgling years as a company. In fact, the creator of Python himself, Guido Van Rossum, worked at Googlefrom 2005 to 2012, while he continued to develop the language that was, by then, a global ph...

    Netflix is another household name that uses Python in many facets of its operations. In selecting a programming language, Netflix devs knew that data analysis would be crucial to the platform's recommendation algorithm; and data learning, analysis, and reporting are all areas where Python sings. Python is also used in Netflix's:

    Glovo is a start-up company that specializes in on-demand courier services, and it uses Python in the backend development for its mobile app. Operating in over 25 countries, Glovo is most popular for its food delivery service. It's one of 6200+ global companies that use Python currently, on account of the language's vast data science applications, ...

    Once a small start-up (way back in 2012), Tinder has exploded into an online dating giant that 75 monthly million users enjoy, but prefer to deny—and Python plays a big role in that growth. Tinder relies on Python to maintain a top-tier, user-friendly interface and perform machine learning tasks throughout its active AI ecosystem. Like Instagram (a...

    Digital real estate solutions have catapulted onto the scene in recent years, making it easier and faster for people to buy and sell residential real estate. Many companies provide online listings and virtual touring options, while services like Opendoor allow for streamlined digital transactions. Real estate recruitershave also embraced digital st...

    Launched in 2005, Reddit has grown year over year since its inception, and it uses Python programming to ensure its thousands of Subreddits have adaptable and exceptional user interfaces. In order to maintain features during its years of exponential growth, Reddit made the switch from LISP to Python and never looked back. It's no doubt a popular la...

    Amazon, like Google, is one of the most impressive international companies using Python on almost every level of its operations. Backend web development, server-side code, data processing, and Python can do it all, but its ability to handle big data is why Amazon decided to implement it into their platform. Python's big data functionality is what m...

    Salesforce is a leading company in customer relationship management, offering online businessesall sorts of sales-driven insights, analytics, and CRM optimization features. Python is used in several elements of Salesforce's technological stack, including:

    Organizations can gather and examine data from their IT infrastructures, applications, and logs using the monitoring and analytics platform, Datadog. One of the main programming languages employed by Datadog is—you guessed it—Python. Here are some examples of how Datadog uses Python:

    Spotify, the company that revolutionized how we listen to and store our music, uses Python for most of its development operations. Furthermore, Spotify is one of the main sponsors for Python conferences around the world—a testament to how much they value it as a core language. Spotify uses Python in a variety of ways, including the development and ...

  2. Sep 3, 2020 · A 2019 study by Coding Dojo suggested that Python, Java, Javascript, C/C++ and Ruby were the five most popular programming languages used by the top 25 unicorn companies. Hiring Now Think for ...

    • Google. Google is a well-known digital company worldwide, well recognized for its involvement in various online services such as Android, Search, Stadia, YouTube, and others.
    • Netflix. Netflix is an excellent example of a firm that picked Python programming because of the vast ecosystem of tools that keep their system running.
    • Dropbox. Dropbox is where you keep all of your important files, documents, images, and videos. Have you ever thought about how a service like Dropbox may grow from 2000 to 200 million users?
    • Stripe. Stripe is a Fintech start-up that enables businesses to accept online payments. This organization is one of the most impressive Python web app examples for creating mobile and web app APIs.
    • Popularity. Both Java and Python are among the top-used languages regardless of the source. According to the recent TIOBE popularity report, Python is the most popular programming language with a 14.51% market share, while Java ranks third with a 13.73% market share.
    • Syntax. The comparison of Python and Java differences in syntax can provide insight into what technology is more flexible for development. Python’s dynamic typing allows for omitting data types for more concise code.
    • Speed. To compare Python vs Java runtime speed, it’s important to recall the tech peculiarities of each. Python is an interpreted language, meaning the Python’s interpreter reads and executes code line by line at runtime.
    • Performance. A multithreading feature is often used for high performance, enabling programs to do multiple tasks at once. Yet, Java and Python have different features for performance optimizations.
  3. According to the Tiobe Index, Python is the second most popular programming language. As of 2021, Python grew by 11.87% percent, and its exponential growth is still continuing to become the most used programming language in the upcoming years. In this article, you will learn what companies use Python and what are their Python use cases.

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  5. Jan 31, 2024 · And all of these companies use Python extensively in their tech stacks. 1. Google. One of the most recognizable companies in the world has used Python from its beginnings: Google’s founders intentionally chose this language, with C++ filling in the gaps. Many of its core search algorithms are written in Python and C++.

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