What Startups Are Using Python?

The modern world is full of innovative and sometimes disruptive ideas introduced by smart technology companies known as startups. These companies’ values include technical expertise, speed, innovation, flexibility. Their main goal is to launch something different from what we used to see — surprise their target buyers. They create their products with quick time-to-market in mind. Python is frequently used by hundreds of startups. And here you will read why. 

The general-purpose Python was introduced in the 80s by Guido van Rossum. Known for its simplified and natural-like language, Python is loved by many developers for its ease of use, simple syntax, and fast learning curve. 

In this article, you will learn why Python is a good fit for startups and which large companies use Python. You will also get familiar with its key features and benefits. 

Python in web and internet business has become very popular because of a great number of valuable features it has. Here are three main areas where it is used:

  • Web development
  • Data analysis, machine learning, data visualization
  • Scripting

The pervasive usage of Python for business is caused by its high scalability and interoperability. It can run on various operating systems, such as Mac, Windows, and Linux. However, these are not the only advantages. 

As of June 2020, Python is the third popular language after C and Java, according to the TIOBE index. 

According to Statista, Python remains the most popular programming language, as of February 2020. 

Image source: Statista

What Makes Python The Best Choice For Startups And Tech Companies?

Before answering the question, let’s figure out what matters for startups and tech companies. Most of all, startups are looking for the following things:

  • High scalability and the ability to quickly add new functionalities and features
  • Accelerated development of the minimum viable products (MVPs)
  • Quick and effective iterations
  • Seamless integration with other technologies
  • Managed software development life cycle 

Python is an excellent choice for startups and tech companies as it is a perfect fit for minimum viable product (MVP) development and is highly scalable. Below you will read more about the pros of using this programming language for startups. 

What Can Python Do For You? Why Is Python Perfect For Startups?

Here are some benefits of using Python for startups, SMEs, and large companies. 

Seamless integration. Contrasted to other programming languages, Python is quite a smooth language when it comes to integration. It can be easily integrated with other programming languages like C, C++, and Java. 

Test-driven development support. Due to its testing capabilities, Python is very famous. MVP can be easily built and then reshaped into full-functioning applications by reorganizing the code and testing it. 

A wide choice of standard libraries and a friendly community. The availability of various reliable libraries makes Python very popular.  

Good for Machine Learning and Big Data. The software built using Python can be seamlessly integrated with such technologies like big data, artificial intelligence, and machine learning. In today’s competitive environment for startups, it’s quite important to stand out from the crowd and offer the latest technologies for their customers. 

Django is a great solution for web development. Python framework Django is used for quick web development. It works with dozens of functions that help with user authentication, sitemaps, RSS, to name a few. 

High scalability. Django handles high workload and traffic that’s why it’s good for websites that gather lots of users daily. Python allows your business to grow with the increasing number of your customers, products, and services. 

Top 10 Python Features

Image source: Edureka

Here are 10 features of Python you should know about, according to Edureka:

  • Easy
  • Expressive
  • Free and open source
  • High level
  • Portable
  • Object-oriented
  • Extensible
  • Embeddable
  • Interpreted
  • Large standard library
  • GUI programming
  • Dynamically types

Need highly-skilled test and QA engineers for your startup or software project? We are here to helps you. 

Startups highly appreciate the quick time-to-market. To gain a competitive edge in the shortest time possible, they need to develop an MVP, verify their idea, and test it on the market. Startups should assure their investors in the viability of their product and its success amongst consumers. 

Python is a perfect programming language to develop a prototype. This language supports quick and reliable software development. Compared with Java, Python allows developers to build an MVP within a few weeks instead of months. 

Scalability is another thing valued by startups. With the growth of consumers, business is also rapidly growing that’s why the possibility to scale up quickly matters. Django infrastructure, which is a set of ready-made components, ensures the high scalability of Python applications. The Django components can work independently — they can be replaced or disabled depending on your business needs. With a wide choice of reliable libraries, you can add new functionalities quickly. 

Python is also highly appreciated by developers as it is very simple and easy to use. Its popularity among developers is growing. Today, it is a second popular language on GitHub, the first is Java. The community is large, which allows for fast problem-solving within the development.

Compared with other programming languages, Python’s code is rather simple. Startups don’t need too many developers to build an application. This feature reduces costs for development. 

Python is highly secure due to its Django framework. The latter is able to hide the source code from viewing it on the webpage. This language is perfect for building web solutions and integrating with other technologies. 

Now when you looked through the list of Python benefits, let’s see what startups or tech companies are using Python. 

Big Tech Companies That Use Python

Netflix, Pinterest, Spotify, Instagram, Reddit, Quora are only a few companies that use Python to develop and upgrade their applications. According to various research findings, Python is used by over 75,000 companies globally. 

According to Instagram, Python is a very simple, practical, and efficient programming language. That’s why Instagram has chosen it for development — with Python, the company can serve traffic in the most efficient way possible and, at the same time, can now easily launch new products without being disrupted. 

Netflix engineers say that they “use Python through the full content lifecycle, from deciding which content to fund all the way to operating the content delivery network (CDN) that serves the final video to 148 million members.”

Does Google use Python? Among other happy Python users, there are also YouTube and Google. YouTube’s software architect Cuong Do says that this language allows them to deliver new features in the shortest time without involving many developers. 

Google leverages Python because of the easy deployment and simplicity of maintenance it gives. The first web crawler used by Google was written in Java and then rewritten in Python. 

Does Amazon use Python? Amazon uses Python to work with Big Data — provide recommendations and suggestions to its customers. The company analyzes buyer behavior and habits to provide more personalized offerings to people. 

Look through our successful case studies to see what we can do for you.

Python Startup Projects: Building A Minimum Viable Product (MVP)

As mentioned above, startups are limited in time and budget. They need the flexibility that’s why Python is perfect to develop MVPs needed to verify their idea and get quick feedback from potential users. 

Here is a list of MVPs Python startups can build to test their ideas:

  • Internet of Things (IoT)
  • Artificial Intelligence (AI)
  • Web applications
  • Alexa skills
  • Data analysis solutions
  • Web crawlers
  • Application Programming Interfaces (API)s

Contrasted to large companies, startups don’t have powerful capital to invest in the development, that’s why time matters. It’s important for them to build a functioning software as quickly as possible. Python allows us to accelerate software development with minimum resources. So, a team of two or three developers can create a workable solution within a few months. 

Modern Companies That Use Python

If you are looking at which companies in London, New York, or any other city of the world are using Python to develop software solutions or websites, you may check the freshest lists on Clutch. This platform is a trusted source to consult with before choosing reliable developers for your next project. 

If you are just interested in what kind of companies are using Python or have their websites built using it, please find below the list:

Ometria is a marketing platform that can improve customer journeys. The product is built for the retail industry and has such features as cross-channel marketing, AI-enabled customer intelligence, and others. 

Website: ometria.com

Cureatr is a comprehensive medication management platform providing real-time access to patient medication data. Among the key features, there are 360-degree patient data, real-time communication, remote medication management.  

Website: cureatr.com

Weglot is a platform offering quick translations to make websites multilingual. It has solutions for e-commerce, marketing websites, and web agencies. 

Website: weglot.com

Artlogic has been working since 1994 to provide art galleries and artists with a quite different experience of digital presence. They offer viewing rooms, databases, private views apps for their customers working in the art industry. 

Website: artlogic.net

Virail is a fast way to choose the cheapest ticket or hotel, and build the right way to your destination. The platform helps customers build the best route upon their request. 

Website: virail.com

Spendesk is a spend management platform providing full control over company spendings. The features include invoice management, virtual cards, accounting automation, employee debit cards, spending reporting, etc. 

Website: spendesk.com

Paddle is a SaaS commerce platform and APIs for payment processing, billing, sales tax management, merchant of record. 

Website: paddle.com

Smarkets is a large betting exchange that allows users to bet and trade on a great variety of sports markets and politics. 

Website: smarkets.com

Stripe is a well-known American technology company and platform offering software for online businesses including online payments and payouts. 

Website: stripe.com

Qonto, launched in 2017, offers accounts for freelancers, small and middle-sized enterprises, and startups. 

Website: qonto.eu

Beekast — an online platform for organizing meetings and training. It allows users to upload their presentations in various formats, run live sessions, and get statistics and reports. 

Website: beekast.com

Check out a list of top healthcare startups in the UK. 

Quality Assurance and Testing Your Software Project with Python

Python allows creating simple tests with the ability to build more complicated tests on their basis. The standard Python library has in-built frameworks for testing like unit tests which can be easily integrated with other frameworks, such as nose, nose 2, and pytest. Each framework has its features and requires some knowledge and skills to write tests in Python. 

Unit tests are a standard Python’s unit testing tool. The most valuable thing about this framework is automation testing. The other benefits include the following features:

  • Tests can be gathered in groups.
  • The results of testing can be collected for reporting.
  • An object-oriented programming style allows us to reduce the doubling of code while working with similar programming objects. 

Below are some major principles to follow while testing:

  1. Test running should depend on other tests.
  2. The test should use the data prepared for it.
  3. There’s no need to write similar tests.
  4. Once a bug is found, write a test.
  5. Tests should be up-to-date.
  6. Tests should be run regularly. 

Python is loved by test engineers for the variety of testing tools for unit testing, mock testing, fuzz testing, web testing, acceptance/business logic testing, GUI testing, source code checking, code coverage, continuous integration, etc.  

Apphawks QA and Testing Expertise: How We Can Help You

We offer all types of QA, manual and automation testing services for web, SaaS, APIs, and mobile solutions. Our toolbox includes TestRail, Postman, Jira, Cucumber, Confluence, Bugzilla, Selenium, etc. We have experience testing software projects in different industries like e-commerce, education, social media, healthcare, fine art, and others. 

We are focused on reducing the number of defects and bugs before you implement your software solutions. Our approach to the QA process and testing allows us to minimize the risks and ensure seamless bugs-free deployment. 

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Grzegorz Kłos
Co-Founder
office@apphawks.com
Grzegorz Kłos - Apphawks Co-founder
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