Choosing a programming language for your product is a major challenge. It’s a big decision. There are plenty of programming languages, but usually a couple lend themselves to your particular goals.
Here at SteelKiwi, Python and the Django web framework are our primary tools for backend web development. As one of the leading Python and Django development companies, we have a number of reasons for developing web projects using these technologies. In this article, we’ll tell you what Python and Django are, why they’re so popular, who uses them, and why you should consider Python web development with Django.
To find out whether Python is the best web development option for your software, you should examine Python in detail. And the first thing to consider is what Python is.
While writing an email application in C around 1990, Guido van Rossum encountered some difficulties crafting a login program since there weren’t existing systems for managing logins and passwords yet. Feeling that this login program would have involved writing too much in C, van Rossum came up with the idea of Python. First introduced to the public in 1991, Python was the most loved language in 2018 according to the annual Stack Overflow survey. What’s so special about Python? And why is it so popular? Let’s first answer the question of what Python is.
According to the Python Software Foundation, “Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.” Let’s break this down.
- Python is a high-level programming language, meaning it contains words and phrases comprehensible to humans. To translate this high-level language into machine code, Python uses an interpreter. An interpreter converts source code into code understood by computers. As an interpreted language, Python uses memory efficiently, is easy to debug, and allows developers to perform complex tasks in a couple of steps and edit code quickly.
- Most modern programming languages, including Python, are considered object-oriented. The idea behind object-oriented languages is that the program is split into independent objects that communicate between themselves. This pretty much looks like a collection of mini-programs. Objects help developers write better structured code, resulting in software that’s easier and faster to build, maintain, and debug.
- Python is a dynamic language. This means that developers don’t have to declare variable types. Python verifies types and errors at runtime (when the program is launched), but not during compilation (when source code is converted to machine code). This results in less code, faster development, and greater flexibility and resilience.
Python continues to be one of the most popular languages. According to TIOBE, Python is ranked among the top programming languages. BuiltWith states that there are almost a million websites that use Python.
Python is valued equally among startups such as Finance Strategists, mid-size companies such as EP Wealth, blue chip companies like Google, Quora, Netflix, and Spotify, and government organizations like NASA. Yet few people know why Python is one of the top programming languages for website development. So why has it gained great popularity and interest among startup founders?
Here’s what the Python Software Foundation says:
Python is powerful… and fast; plays well with others; runs everywhere; is friendly & easy to learn; is Open.
Python is powerful, and it can be used for literally anything. First and foremost, it can be used for anything because it offers many features by default, with standard libraries that cover almost any programming task. Whether you’re running scientific calculations, processing images, or developing operating system interfaces or protocols, Python saves time and effort by presenting ready-made solutions.
Additionally, Python serves well for products that you want to get to market as soon as possible. For both startups and established businesses, this means faster return on investment (ROI) and a chance to tailor the product based on reviews and feedback from real users.
Python is functional enough to interface with code written in other programming languages. You can embed your Python project into frameworks of different languages, and vice versa. This means that you can create projects that mix Python with other programming languages (for example, C++) and get the best of two worlds.
Python is available for almost any operating system, including UNIX-based operating systems, Windows, macOS, iOS, and Android. It also runs on various platforms, including IBM, AIX, Solaris, and VMS.
Python is considered a highly effective way of coding because of its simple syntax and readability. Python is an easy-to-learn language, and thus there’s a large enough talent pool.
Because Python uses spacing instead of braces and other special characters to indicate the beginning and end of programming constructs, readability is a built-in feature. Whenever you need to update a project in Python, it’s relatively easy to find someone who can look at its code and make the necessary changes even if they’ve never seen it before. Developers don’t have to spend a great deal of time thinking about complexities in the language or deciphering someone else’s code.
Python is an open-source language administered and supported by an independent nonprofit foundation: the Python Software Foundation. One of the major advantages of open-source software is that it’s free to use, modify, and distribute. Since the Python community is open to everyone and encourages diversity, millions of experienced developers around the world contribute to it and add to the growing Python open-source database. There are plenty of conferences and meetups, and there’s lots of code collaboration. This means that Python is less inclined to bugs and more secure than some other popular languages. Additionally, it helps you minimize development expenses.
Python is a multi-purpose language and can be used to build practically anything. Companies around the world use Python for artificial intelligence and machine learning, website development, scientific and numerical computing, gaming, and many other uses.
As for artificial intelligence, Python stands above other programming languages and is considered the best programming language for AI-powered applications. In fact, Python addresses any AI task: machine learning, data analysis and visualization, natural language processing, and computer vision.
There are dozens of companies that use Python in one form or another for its flexibility, scalability, performance, and rapid development. Below are examples of businesses that use Python extensively.
Python has been an important part of Google since the beginning, and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we’re looking for more people with skills in this language.
— Peter Norvig, Google’s Research Director
One of the largest companies that relies on Python is Google. The first version of the Google search engine and the entire technology stack were actually written in Python. Today, Python is one of the three main programming languages used by Google, together with Java and C++.
Google has a finger in every pie: search, email, music and video streaming, hardware, driverless cars, and advertising. In fact, YouTube’s entire technology stack is written in Python. Originally, YouTube was actually written in PHP. However, because of fast user growth and the need to quickly develop and implement new features, YouTube soon migrated to Python. Cuong Do ㅡ a software architect at YouTube ㅡ says that “Python is fast enough for our site and allows us to produce maintainable features in record times, with a minimum of developers.”
Another big player that uses Python is Facebook. Alongside PHP and C++, Python helps Facebook maintain, manage, and scale their infrastructure efficiently and reliably.
Facebook also uses Python for machine learning. On Facebook, machine learning algorithms are used to curate content in the News Feed and to detect objects in photos. Facebook users are recognized in pictures even when they aren’t tagged. And for people with vision impairments, Facebook describes photos with words.
Dropbox is a cloud storage platform for documents, music, images, video, and more. The Dropbox application is available on most devices and offers users anywhere, anytime access. Dropbox has been using Python for the entire technology stack right from the start. First, it was Python code using PyWin32: one of the Python libraries for Windows-specific functionality. Later on, they moved to Python 2, and then to Python 3. At present, the Dropbox application uses a customized version of Python 3.5. They also use the Django framework, which powers file storage functionality, account synchronization, and file sharing.
Python is often compared to other programming languages. Below, we briefly compare the most common alternatives to Python: Java, PHP, and Ruby.
If you’ve decided to make website in Python, it’s time to think about picking a framework. Since we’re a Python software development company with a focus on Django, we’re going to cover every important aspect concerning Python web development with Django to find out whether it’s what you need for your startup.
Django is a free, open-source, full-stack web application framework written in Python. In simple words, Django is a set of ready-made components that help you rapidly build websites with pragmatic and clean architectures. When crafting websites, developers frequently need the same components for tasks like authenticating users, uploading files, and implementing CMS systems. So as not to reinvent the wheel each time you make a new site, Django provides ready-made solutions.
Python and Django are intertwined but not the same. Python is a programming language that’s used for many different applications: artificial intelligence, machine learning, desktop apps, etc. On the other hand, Django is a Python framework for full-stack web application development and server development.
You can build a website either from scratch in core Python, arriving at the solution yourself, or you can craft your app with Django using prewritten bits of code.
Among Python frameworks, Django is often regarded as the best framework for web application development. It was even included in the list of most loved frameworks in the 2018 Stack Overflow Developer Survey.
According to the Django Software Foundation, Django was “invented to meet fast-moving newsroom deadlines, while satisfying the tough requirements of experienced web developers.” The framework was invented by Adrian Holovaty and Simon Willison, developers who worked at the news website World Online. At the time, Adrian and Simon were writing in PHP. But since the World Online website required quick updating, it became hard to meet deadlines. Adrian and Simon needed something they could build the website with quickly. That was when they decided to move to Python. Later on, they started working on Django to make coding even simpler and more effective. In 2005, Django was already publicly released as an open-source project. Today, Django is known as
The web framework for perfectionists with deadlines.
Thanks to simple syntax and readable code, programs written in Django are clean and well-structured. This help developers make their ideas a reality and meet requirements faster.
Django was crafted to help build software as quickly as possible. The Don’t Repeat Yourself (DRY) philosophy on which Django is built motivates developers to reuse code they’ve written for other projects, further reducing the time needed to develop your product. So if you’re short on time and have a limited budget or if you often work tight deadlines and place a high premium on innovation, then Django is a perfect solution.
These aren’t the only things that make Django your top choice for web development. There are even more great features that the Django web framework provides.
Django’s batteries included approach means that the framework has everything necessary to develop a full-fledged application. Django offers built-in HTML templating, URL routing, object-relational mapping, and session management, helping developers avoid the vexing search for third-party tools. Hundreds of Django packages help you quickly create anything from chatbots to complex GPS-enabled solutions.
Django components are decoupled, meaning they can be added or removed as necessary just like Lego pieces. Depending on your specific product requirements, development can be scaled up or down, altering the number and complexity of Django components as necessary.
By default, Django protects applications. It mitigates some of the more common security mistakes related to Python while also protecting apps from cross-site scripting, request forgery, and SQL injection.
Django’s object-relational mapping (ORM) is compatible with a number of popular databases, but its key feature is that it allows developers to work with several databases at once. Moreover, Django makes it possible to migrate from one database to another and perform common operations without having to write much additional code.
There’s a large community around Django, with more enthusiasts joining every day. They constantly update and improve components of the framework while also developing new libraries to solve issues that professionals often face when developing web applications.
Below, we’ve listed some of the major companies that benefit from this technology. Let’s have a look at how Django has helped these companies grow and develop.
Disqus is a third-party comment application for blogs and online communities. It helps with user retention and audience analytics, provides advertising opportunities, and offers tools for user engagement. When starting off, Disqus considered various architectures but opted for Python, Django, Thoonk, and Nginx Push Stream Module. On Disqus, Django enables custom analytics, social media integration, and online presence management.
Disqus used the Django framework not only for development and scaling but also to create Sentry ― a side project initially for internal use. Later, Sentry became an open-source application that helps businesses track and debug errors and fix crashes in their systems. Today, more than 30,000 companies including Doordash, Instagram, Reddit, Prezi, and Datadog use Sentry.
The Django web framework is popular among social networking platforms, since it can handle large volumes of data and manage a significant number of user interactions per minute.
With more than one billion active monthly users, over 500 million stories posted every day, and 100+ million photos uploaded daily, Instagram needs to ensure maximum efficiency so the platform can keep on scaling smoothly without sacrificing quality. Django is what helps them handle this. In fact, Instagram has the biggest deployment of Django in the world.
As Instagram grew, they started considering a new technology stack. Yet after carefully weighing the pros and cons, they decided to stick to Python and Django. In an interview, Hui Ding, the former head of the Instagram engineering team, says that “we had been able to get to a few hundred million users with our Python/Django stack, so we decided we would continue. Also significant in the decision was that our engineers really love Python. It’s actually a reason people want to come work for us.”
Pyramid, Laravel, Symfony, and Ruby on Rails are frameworks that are often considered alternatives to Django.
If you’d like to stay updated on our new case studies and see more projects we’ve developed using Python and Django, visit the SteelKiwi projects page or follow us on social media. To outsource Python development to us, contact one of our sales representatives. You may also find Python programmer jobs with Jooble.