In a recent analysis by PopularitY of Programming Language Index (PYPL), Python secured the first spot as the most searched programming language tutorial on Google. PYPL notes on their website that the more people search a language’s tutorials, the more likely it is to be popular.
That Python is the first programming language among its 27 contenders is not a result of mere happenstance.
Over the course of two decades, Python has already significantly impacted the way we consume media. It was used to build some of the most popular entertainment applications, which include YouTube and Spotify, and well-loved web applications, such as Pinterest. Indeed, Python lives up to its name. It’s a giant that crushed the tech industry through scale and might.
What Is Python?
Named after the popular British comedy series Monty Python’s Flying Circus, Python is a programming language released in 1991 with the express purpose of making coding much cleaner and more readable.
Guido van Rossum, its creator, wanted to give developers a faster way to code. So he conceived the idea of a high-level, object-oriented, interpreted type of programming language in the 1980s, and the rest — as they say — is history.
Many household names in the tech industry — including Instagram — use Python to code and maintain their digital product. And the reason behind this is Python’s a versatile language capable of building almost any type of software. Think of any project involving web development, big data visualization, or game development. With the help of its many readily available frameworks, Python has the capacity to do it all.
Python also gives developers a better coding experience. The syntax of many programming languages is similar to machine language
Did you know? Machine language pertains to code whose syntax consists of only 0s and 1s, otherwise known as
This makes coding complicated. But Python prefers a more intuitive approach. Its syntax is much closer to that of the English language, which means the code can be complex but definitely not cluttered.
Moreover, the process of debugging is easier with Python. Through a specialized, built-in debugger called
What Are the Benefits of Choosing Python Programming?
Python is a popular programming language that has a lot of tools in its libraries. Why is this a good thing? With Python’s more than a hundred thousand libraries in place, developers can incorporate a variety of modules into their software, enabling the creation of high-performing, complex applications at a faster rate.
Being a popular and open-source programming language, Python has a lot of contributors to its ever-growing environment. Some of the top-performing frameworks accessible in its libraries are Django for web development, BeeWare for mobile applications, and Matplotib for data visualization applications. Python keeps up with trends in technology, and with its expanding, up-to-date libraries and community, you can easily catch up with the language’s updates and upgrades.
Easy & Versatile Language
Among Python’s tenets is a core philosophy, which is if it’s simple and obvious, then it’s preferred. This is why Python was designed to mimic English as much as possible, having English words as identifiers, such as and, except, break. As a result, developers familiar with the English language have a much easier time knowing how to code.
Additionally, Python can create complex software despite its simplicity. Its broad application ranges from machine learning to game development, but it’s particularly helpful for big data projects, which will be tackled in this article in a bit.
Python is the favorite language of developers for automation testing, which aids them in comparing the expected output of the code with the actual output. Because it has a unique testing framework and numerous testing tools, Python makes for a good choice in quick quality-testing.
What Python Can Build
Big Data Projects
Because we continue to acquire more and more means to access technology, we also continuously acquire bigger reserves of data. However, big data is a big problem if you don’t know how to sort through it.
Fortunately, Python addresses this problem swiftly. It has advanced frameworks that allow businesses to create data-analyzing software capable of handling large bulks of information. This is useful no matter what industry you’re from — whether you’re in retail, marketing, or healthcare. Additionally, these frameworks can build machine learning programs, the type that can recognize and synthesize data patterns, which is a huge benefit to any type of company or business.
Administrative work is the backbone of any business: Human resources, finance, sales — the list goes on. Relying solely on human capacity to manage all these facets is not a bulletproof strategy; you’re even at risk of multiple errors.
Business applications pave the way for better business management. They are a unique type of software that’s toward a company’s specific needs and targets. Unlike regular commercial applications, business applications conform to a specific company standard and are released only to concerned parties, who are essentially the employees. And in order to be successful, these apps should mirror the company’s operations model, something Python can do.
Easily scalable and very flexible, Python is known to support enterprise resource planning (ERP), making it a reliable language for business solutions. It can produce software to monitor and update your finances, engage with your company’s people, or even track your inventory — and it can even package all of this into one app.
Aside from all the advantages of using Python, another advantage of doing so when it comes to web application development is its popular web application frameworks. Django, Flask, and Pyramid are some of the go-to frameworks of developers for web applications with Python. They have incredible, wide-ranging support from developers of different expertise.
Moreover, Django is particularly great because it supplies everything a web developer needs. It has tons of modules and libraries for practically any web development purpose. And it makes development so easy that even Instagram uses it as its core framework.
Should You Outsource Python Programming?
Python is an easy language to learn not only because of its syntax but also because it’s a popular language with an abundance of tutorials and resources online. But if you’re planning on developing applications with it and don’t know where to start, then you can consider outsourcing the project to a more experienced team.
Outsourcing Python development helps your company achieve your business goals through technology. By outsourcing, you get to:
- Save time by doing away with the recruitment process and setting up infrastructure.
- Save resources by having a readily available team with readily available infrastructure.
- Partner with developers who know how to work with the programming language.
Outsourcing to a company is the first step. The next thing you have to do to actually reap all these benefits is to consider the experience a company has. Having years of experience in Python development will not only get you seasoned developers but also a professional team that knows how to manage clients’ projects.
Our advice? Look into the company’s track record first. Know what kind of projects they’ve done with Python — or any programming language — before making your decision final.
Python is an excellent programming language for flexible and scalable software. It was developed and released in 1991 by Guido van Rossum to make programming less cluttered and more elegant. The language’s greatest features include:
- Extensive libraries
- Great adaptability to modern technology
- Ease & versatility
- Automation testing
It can build a wide variety of applications, including data-heavy analysis and visualization, business applications, and web applications. Apart from this, Python can create mobile applications and full-blown websites.
Outsourcing Python development is a great solution for your business. It is through outsourcing that you get to:
- Save time,
- Save resources, and
- Partner with an expert team of developers and project managers.
There are so many advantages to outsourcing your Python development that it’s hard to think of a reason not to! NarraSoft’s outsourcing services range from project development to business processes. You can expect services involving data entry, technical support, 3D art creation, software development, and so many more. Interested in partnering with us? Send us an email at email@example.com!