Top 7 Companies That Use Python Are Making A Mark In 2020

by Jigar Mistry
7 Famous Tech Companies That Use Python

In this digital age, every company is operating through various digital tools to administer their functioning and keep everything working efficiently.   Businesses are striving constantly to get the utmost competence within the margins of the resources accessible to them.  From the most demanding web frameworks, you need to select the one that yields faster APIs and web application development.  Big companies that use Python, as their web app framework, are excelling because of its functional and object-oriented programming.

To build a web application, an arrangement of programming tools, frameworks, and languages is used.  Such a technology stack has two chief parts, namely, front-end – client-side and backend – server-side.  The latter, though is invisible to consumers, powers everything that they can see and interact with on their display.  Ruby, Python, PHP, Java, are some of the most widely used backend technologies that create the logic of applications and websites.

Perhaps, Python is the most user-friendly programming 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. 

What is Python?

Before we take a look on companies using Python and understand its frameworks, let us learn some basics about the popular language, Python.

What is 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 readableness with its remarkable utilization of major whitespace.  Its object-oriented approach intends to aid programmers write logical and clear codes for large as well as small-scale projects. As per StackOverflow statistics, Python is the rapid-growing main programming language in 2020.

What is Python used for?

Generally, Python is used for automation and scripting purposes.  There are also some additional aspects where its power is invoked in.  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.

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:

  1. REST, API and Web Development

    The inhabitant libraries of Python along with innumerable web frameworks facilitate 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.

  2. Meta-programming

    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.  Moreover, it supplies the engineering team with the type of scalability that is hard to attain when we use other languages.

  3. 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 adopted 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 science, 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:

  1. Django

    Django web framework is an open-source and free full-stack Python framework that contains all the essential features by default.  It abides by DRY principle, which states ‘don’t repeat yourselves’ and uses object relational mapper (ORM) mappers to locate objects to its database tables.  An ORM is the 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.

  2. Flask

    Flask is a micro kind of framework.  It is said so due to its lightweight and its compatible design that makes it effortlessly adjustable to the developer’s needs.  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.

  3. Web2Py

    Web2Py is a scalable, open-source, full-stack framework.  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. For example, mac, windows, linux, to name a few.  It aids data security against susceptible issues like cross sql injection, site scripting, and other malevolent attacks.

  4. CherryPy

    CherryPy has the minimalist way and is an open-source framework for developing web applications.  It creates web apps similar to scripting an object-based program.  It allows using any sort of technology for forming data access and templates.  It can manage cookies, sessions, file uploads, statics, and everything else a web framework normally can.

  5. Bottle

    Bottle is generally meant for constructing APIs and is a micro framework.  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 are templating, routing, built-in development server, supporting other WSGI-capable HTTP servers.

7 World-class Companies that use Python

7 Popular 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.  The chart here states that these various industries use software in Python for their dynamic web development, where Information Technology and Services (8%) and Computer Software (21%) and are the principal sectors.  Owing to its popularity, it influenced numerous successful enterprises to develop apps with Python for their backend web development.  Let us take a look at the top 7 well-recognized companies which use Python..

Top Industries that use Python
Image Credit: enlyft
  1. Google

    Google is one of the prevalent tech enterprises across the globe, known for their 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.  It serves in parts of search engines, and the functioning of artificial intelligence, machine learning, 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.”

    You may also like: How to Add Marker in Google Maps Dynamically?

  2. Netflix

    Netflix is a classic example of a company who 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 numerical analysis.
    • Machine learning: It uses Python for instructing ML models that are utilized for everything from artwork personalization to recommending algorithms.
  3. Dropbox

    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 its 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 coding is written in Python.

  4. Stripe

    Stripe is a Fintech start-up that facilitates businesses to allow payments over the web.  This company is one of the remarkable Python web application examples that builds 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.

    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.

  5. Reddit

    Reddit is a collection of social news, web content ranking, and conversation websites.  It is ranked as the 19th most visited site in the US and 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.  At its base, Reddit utilizes the following libraries to maintain its functioning smooth:

    • rollingpin: Facilitating fast deployment to different servers
    • baseplate.py: As one of the profound core services
    • aws-mfa: For administration of AWS multi-factor authentication
    • pywebpush: Webpush data encoding in Python
    • django-underpants: Helpers assimilating Django to underpants
  6. Instagram

    Instagram is a photo and video-sharing social media or networking platform possessed by Facebook, Inc.  It is one of the most renowned companies employing 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 it would not enhance their performance majorly.  However, they resolved their confusion by adding extra AWS machines, and currently, the dynamics are affirmative.

  7. Spotify

    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.

Frequently Asked Questions

What are the benefits of using Python for web development?

The various benefits of using Python that aid you in availing faster web development are its coding requires less time to write because it has clean and simple syntax, in-built libraries for machine learning, image, and data processing. Moreover, it has a framework for unit tests that aids you send bug-free codes.

What is IDE and Text or Code Editor?

Integrated development environment (IDE) is a development environment that supplies various features like compiling, coding, executing, libraries, debugging, in a place for the developers, thus making the tasks simpler. Whereas, Code editor is the platform for modifying and editing the codes.

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.

Which companies use Python in 2020?

Several successful tech companies are selecting Python for backend web development. Some of the big companies which use Python are Facebook, Instagram, Netflix, Stripe, Spotify, Reddit, Uber, Dropbox.


Conclusion

From this blog, we have analyzed that these top innovative companies have applications 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.  Companies 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 proficient team of Python developers to aid you in your influential web development.  This language is simple, caters high speed in web development, and is scalable.  It has a gigantic ecosystem that renders you to construct anything with a language virtually.

Author Bio

Jigar Mistry

Jigar Mistry

Jigar Mistry is the Founder of Monocubed and is the main curator and writer of the content found on this site. He has 14+ years of experience in the information technology industry. He always believes in quality, in terms of code and application.