Advantages of Python – Is It Good for Business?

December 5, 2018 Jan 'Jakub' Jurec

Picking the right coding language is a lot like choosing a vehicle. Most options will, of course, get you to where you want to go, but the wrong choice might get you stuck in a rut.

This choice is fundamental for any project or service. If you choose a language that’s old or fallen out of favour, you can often hit roadblocks in development – especially in areas where the language simply isn’t supported.

Indeed, at the very start of any project, the language can determine how quickly progress can be made, which in turn influences how many developers are needed, what additional work needs to be done and so much more.

Fortunately, Python is known for enabling lightning-fast development, easy to use and incredibly adaptable, which is why it can be found in even the largest businesses and services.

Why All Industry Giants Use Python

So, first things first – who uses Python? As a language, it’s popular with a wide breadth of companies, from small fintechs to large enterprises. Here are just a few of the more well-known uses:

  • Both Facebook and Instagram use it to handle data and processes en masse
  • Industrial Light and Magic use it to power a lot of their CGI technology and tools
  • Spotify uses it for backend analytics
  • Netflix, which allows engineers to choose their own language, noticed Python was the most popular option
  • Reddit spent a single weekend moving its website to Python in 2005
  • Google uses it as 1 of its 4 officially supported server-side languages
  • Dropbox doesn’t just use it – the creator of the language (Guido van Rossum) currently works for them!

Python can be used for the Cloud, web applications, data science tools, backend support, Big Data and more – so it only makes sense that lots of companies have an active interest in it.

You can find it useful in areas you might not normally expect. Fintechs, for example, often use Python because it’s great for resolving quantitative problems and data management, but it’s also being used by larger, older organisations. Both JP Morgan and Bank of America have made the switch – the latter is said to have “close to 10 million lines of Python code” in its Quartz system alone.

Likewise, we used it to help Arts Alliance Media update, transform and innovate their digital distribution service. You can read more about this here.


Read Also: Data engineering tools | PGS Software


The Advantages Of Python

So, what’s so good about Python? There are numerous reasons (especially for developers), but let’s break down the most prominent benefits for businesses.

It’s Easy To Decipher

Python is designed to be highly readable and, at times, it doesn’t look that dissimilar to typical English. This makes writing very intuitive, which is one of the reasons it’s proving very popular as a language among developers.

This also makes it very easy to read, which ensures we don’t have any issues checking each others’ work; code reviews and debugging are so much easier to accomplish. Its readable nature helps ensure everything works as intended – all of which enables us to bring the product to market faster, with no need to cut corners.

It’s Supported By Numerous Libraries

Sometimes, there simply isn’t any need to reinvent the wheel. Python has numerous libraries available, ensuring developers always have access to established, tried, and tested modules. These help us to bring products to market faster, without sacrificing quality or features along the way.

Some popular libraries that we recommend include:

  • Pandas – this library has various high-performance data structures and analysis modules we can use
  • Numpy – this library is for scientific and mathematical computing with Python
  • Keras – a library for writing neural networks in Python, making it useful for machine learning
  • Scikit-learn – another library useful for data analysis, mining and machine learning
  • Tensorflow – released by Google, this library allows us to create Deep Learning modules and features, such as image detection/recognition

In addition to these libraries, it has also been written into numerous frameworks, such as:

  • Django – this is a very popular web framework, as it enables quick and clean apps
  • Flask – technically a microframework, Flask is useful for microservices and web applications
  • Scrapy – a framework designed for data extraction and web crawling
  • Tornado – a useful framework for creating scalable web applications
  • Pyramid – a framework that scales well for easy development of small and large applications
  • Falcon – great for microservices and quickly handling multiple requests

So, between these highly supported libraries and frameworks, we have numerous tools at our disposal, allowing us to dive into any project and get straight to work. Depending on the project, we can often head straight to the respective frameworks and libraries, helping to gain instant traction.

It’s Very Scalable

Python is an incredibly versatile language, which makes it highly efficient at handling tasks of all sizes. This is for numerous reasons, but primarily because it supports multiple programming paradigms, such as functional and procedural paradigms, as well as the object-oriented paradigm at its core.

Combined with Python’s accessible approach, as well as its nature as an interpreted language, developers can quickly create scripts and code that functions at a larger scale and can run smoothly, rather than trying to build a larger solution on another language, which would typically take longer to develop. This greatly cuts down on development costs so, with Python, a bigger scale doesn’t result in a corresponding increase in time.

All of this also means solutions can be built with any scale in mind – even if it’s moving a smaller application or service into a much larger one. If something needs to be expanded or adapted, Python readily allows for this.

It Enables Quick Prototyping

When it comes to creating prototypes in next to no time, Python is excellent for the purposes of demonstrating concepts or minimum viable products, thanks in no small part to the aforementioned features. This helps companies adopt an agile, fail fast philosophy, or simply quickly determine whether to proceed with any given project.

So, Why Do We Recommend Python?

Python is, in many ways, the developer’s choice. It’s proving increasingly popular among various metrics and for good reason. It’s easy to learn and can be used in incredibly versatile ways.

According to Stack Overflow, Python is 1 of the most loved and most wanted languages (meaning developers that use it are happy and, of those that don’t, many really want to learn it). When it comes to PGS, many of our own developers have expressed their appreciation for it, so we know just how popular it is!

So, how can it help you, as a business?

  • Its code-light nature enables us to get more in-depth quickly, creating a shorter development cycle
  • It’s great for creating prototypes in no time at all
  • We love using it and, thanks to additional libraries, it’s easier to ensure a high quality
  • Its versatility makes it able to handle any challenges that affect your solutions in the future
  • It’ll keep your IT specialists happy!

Needless to say, with over 650 staff, we’ve got a great team of Python developers of our own! If you’re looking for a custom solution to support and innovate your business, Python might very well be the answer.


Read Also: Serverless python benefits | PGS Software


Business Perspective

If you’re looking for a product that’s versatile and built to scale, as well as easy to read and debug, Python’s surely one of the best options out there. Because it’s well supported, it’s easier to provide a high quality final product, both in terms of cost and hours. Python enables quick prototyping and adaptable solutions for virtually any business need, regardless of scale.


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