Why Python Stands Out as the Best Programming Language for Startups?


When choosing the correct programming language for a startup’s product development process, there are so many factors to consider.

Sometimes operating on a tight budget, startups must carefully consider how quickly they can develop their products and how popular their chosen languages are. They must also consider the cost of hiring and training developers. A robust and well-established technology such as Python will be your best bet for all the factors above.

Although Python has been around for nearly 30 years, it remains a top-tier programming language. Python is currently the third most popular programming language in the world based on BuiltWith’s statistics.

Because it’s a huge success, and that’s simply because Python is an object-oriented programming language that focuses on rapid and robust development, making it ideal for projects of virtually any size. Many of the world’s largest companies rely on Python in some way or another. TravelPerk, Festicket, and 21 Buttons are just a few of the fast-growing startups that use Python in their tech stacks to help them grow.

If you decide to use Python, you will be in good company. But, first, take a closer look at why Python is such an excellent option for startups.

1. Convenient 

Python programmers adore the language because of its simplicity and beauty. According to the Python philosophy, “there is only one best way to do something, and that is how it should be done.” The philosophy is supported by several core principles, three of which are:

  • Explicit is better than implicit
  • Simple is better than complex
  • The complex is better than complicated

In practice, these guiding principles manifest themselves in a language that is intuitive, neat, well-structured, easy to use, and easy to learn – all of which combine to make Python particularly well-suited to startups that must consider budget, time, and profitability constraints.

2. It’s ideal for creating MVPs and prototypes.

What is the purpose of Python in programming? One of Python’s fundamental ideas is rapid development. And, indeed, it is considered one of the most productive languages, owing partly to its code efficiency and the ability to reuse code. As a result, Python is a good choice for generating MVPs rapidly yet highly functional to attract investors or test ideas among the project’s audience because it is simple and time-effective. When it comes to startups, this is one of its key advantages.

3. It is tried and true while also being innovative.

Python was founded in the 1980s. This suggests it has stood the test of time yet is not yet obsolete—quite the contrary. Python is well-known as one of the most innovative and versatile programming languages used to implement cutting-edge concepts. Furthermore, it is open-source and, as a result, is regularly supplied with new libraries and solutions.

4. Popular

According to the TIOBE Index, Python is one of the most popular programming languages. The job market reflects popularity. According to the Stack Overflow Developer Survey, which included 90 000 developers, Python is the fourth most popular technology, trailing only JavaScript, HTML/CSS, and SQL. Python surpassed Java this year.

What’s more, Python has been voted the world’s second most popular and first most desired programming language.

5. It has excellent documentation and community support

Another advantage of Python that business owners often overlook is that it has one of the best stacks of technical documentation ever, as well as a vast and highly supportive community. This means that, whatever task you give your developers, they will not get stuck for a long time looking for a proper decision. Instead, they’ll be able to find one quickly. And, again, time is money.

6. It is compatible with AI, ML, and BD.

Is your project going to have to cope with a lot of data? These are fashionable these days. Another good news is that Python is an excellent choice for all forms of big data, machine learning, and artificial intelligence development. This is because it offers powerful packages designed for these activities (such as Panda and NumPy) and an extensive range of options for data visualisation via APIs.

According to research, it is one of the best Python applications.

7. It is open-source.

This implies that the platform is constantly being built by thousands of the world’s top minds. On the other hand, because Python is open-source software, it may be installed anywhere and customised to meet the needs of a specific project. Furthermore, Python’s tremendous amount of libraries (packages) that developers can employ as pieces of turnkey solutions also gives flexibility.

8. It is highly scalable.

As previously stated, a company must be prepared for any shift as well as rapid development. Python is well-known for its ease of use:

Without dealing with time-consuming processes, developers can rapidly overcome any impediments and scale a project up or down. Python is the most excellent programming language for scalability because of this.

9. It does not require a large crew.

Python does not require a large quantity of written code, which helps developers to work more quickly. More importantly, it enables you to keep a smaller development staff than many other programming languages do. That’s fantastic news for a company because “fewer staff” equals “fewer expenses.”

10. Versatile

Python can be used in various development sectors/OS, including Windows, MacOS, and Linux. Games, language development, prototypes, graphic design, web frameworks, and more recently, data science and machine learning have made it one of the most popular languages (ML).

And this is an essential factor if your application requires ML capability. As a simple high-level language, Python allows for rapid prototyping and tuning of machine learning algorithms and is a much better language for this type of effort than, say, Ruby. Furthermore, because Python is so fast to build with, you will be able to test your ideas much faster in Python than in other languages, saving you time and cutting development costs.

Wrapping Up

What do you think? When it comes to a wide range of applications, Python is a good choice. For example, Python is an excellent choice for machine learning and data analysis because it is free, has all the libraries you could ever want, has a great community and a global support network, and is user-friendly, flexible, and popular. As a result, Python is a helpful tool for both large organisations and small businesses.

If you’re unsure whether Python is a suitable fit for your startup project, leave a comment below or contact us at Cynere today — we’ll be pleased to go over your needs and guide you on the best way forward.

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