7 Reasons Why Python is Perfect for Startups (Update)
Startups planning a product development process need to
consider many factors when it comes to picking the right programming language.
Often working on a tight budget, startups must carefully consider: the speed of
development, the popularity of language, the cost of developers, libraries,
integrations, security, scalability, and stability. It is for these reasons
that your best bet will be to go for a robust and established technology such
as Python.
Python has been on the market for nearly 30 years and is
still considered to be one of the top programming languages in existence.
According to BuiltWith, there are nearly 1 million (994,753) websites that are
Python customers, and the TIOBE Index, a programming community index that
measures the popularity of programming languages, currently ranks Python as the
third most popular language in the world.
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Why so popular? Well, in short, because Python is a
high-level, dynamic, object-oriented programming language, which focuses on
rapid and robust development and can be used for projects of practically any
size. Giants like Google, Facebook, Reddit, Spotify, Netflix, IBM, Instagram,
and Dropbox all have major dependencies on Python. And many fast-rising
startups have Python in their tech stack, too, including TravelPerk, Festicket,
and 21 Buttons.
Seeing that you will most certainly be in great company if
you choose Python. But let’s delve a little deeper, and consider the whys and
the hows that make Python such a fantastic option for startups.
User-friendly
Python developers love the language for its simplicity and
beauty. The Python philosophy says that “there is only one best way to do
something, and that is how it should be done.” A number of core principles
support the philosophy, three of which are:
Explicit is better
than implicit
Simple is better
than complex
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 – inviting qualities that combine to make Python particularly well-suited
to startups with budget, time, and profitability constraints to take into
account.
Popular
We can see from the TIOBE Index that Python is one of the
most in-demand languages. The popularity is echoed in the job market. According
to Stack Overflow Developer Survey in which 90 000 developers took part, Python
is the fourth most popular technology, overtaken only by JavaScript, HTML/CSS
and SQL. This year, Python surpassed Java.
What is also very important, Python has been voted as the
second most loved and the first most wanted language of the world.
Large Community
Another great thing about the popularity of Python is that
there is a large and active community of supporters. In fact, Python’s
programmer community is one of the very best in the world, and you will be hard
pressed to find another community as expansive and devoted as Python’s.
What this means is that you will easily find full and
readily-accessible support for any type of complexity you encounter during
development. There are literally hundreds of thousands of programmers and
supporters all over the globe dedicated to improving the language’s core
features and functionalities.
Copy of Blog interviews – quotes (1)-4
Versatile
Python can be applied to pretty much any development
scenario – whether you need code that works on Windows, MacOS, and Linux,
Python is the answer. It plays a key role in areas like gaming, language
development, prototyping, graphic design applications, web frameworks, and,
more recently, has grown in popularity as one of the core languages used in
data science and machine learning (ML).
And this could be a key consideration if your application
requires ML functionalities. Since Python is a high-level simple language, it
makes for fast prototyping and tweaking for machine learning algorithms, and is
a much more suitable language for this type of endeavour than the likes of
Ruby, for example. What’s more, since Python is so fast to develop with, you
will be able to test out ideas much more quickly in Python than with other
languages, saving yourself time, and reducing development costs.
Scalable
In order for a startup to succeed, it needs the flexibility
to grow. However, exactly when scalability will become a priority for your
company cannot be easily predicted. And this is why it is imperative that you
choose a programming language that can easily scale up and down.
The simplicity of Python means that not only is it easy to
maintain, but it can also handle quick growth. What’s more, if you use the
Django framework – the most popular framework for Python – you will also put
yourself in good stead to scale. This is because the series of components that
make up Django are decoupled (i.e. independent from one another), which means
that they can be chopped, changed, removed, and replaced as and when your
project requires larger or more specific solutions.
Speed to market
What is really important for a startup is to get to the
market fast. You need to create an MVP ASAP to get funding for further
development. Python will help you with that. Thanks to its popularity, the big
community around, and an impressive set of third-party libraries, Python is the
best choice for creating an MVP quickly. It’s possible to create the same set
of functionalities with much fewer lines of code comparing to many other
languages.
You don’t need an army
Python allows you to create a proof of concept with a very
small number of developers. You don’t need a big team to work faster, in
comparison to other languages. The Python development team can stay small and
the code will remain of good quality. Of course, a smaller team means that the
expenses are also small, which is really important for startups.
Final Thoughts
So, should you start up your startup with Python? Python
will certainly be an excellent choice in a great deal of use cases. Python is
free to use, has all the libraries you could possibly imagine, a fantastic
community and global support network, is user-friendly, versatile, popular,
stable, scalable, and is one of the very best options out there for machine
learning and data analysis. For these reasons, Python proves to be an
invaluable tool for multi-billion-dollar corporations and startups
alike.[Source]-https://www.netguru.com/blog/why-python-is-perfect-for-startups
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