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8 key reasons to use Django for your web project

DDI Development — Tue, 23 Mar 2021 12:47:43 +0000

Django is a framework written in Python programming language to ease the creation of database-driven websites. Major features of this framework are less code usage, fast-paced development, and the “do not repeat yourself” principle. Being a Python framework, it enlarges the functionality of this programming language as well as adds new features. For example, it can create, edit and update dynamic interfaces. There are a lot of websites built with the Django framework - Instagram, The Washington Times, Bitbucket, and many others are among them. In this article, we will discuss why to use the Django framework in your web project.

8 key reasons to use Django for your web project

Django is a popular framework that originates from Python. Web developers worldwide select it for almost any type of project in terms of its scalability and flexibility. Sounds interesting, right? Let’s find out other reasons below!

Batteries included

Django follows the “Batteries included” approach inherited from Python, which became the 2nd most popular programming language, according to GitHub's State of the Octoverse. This means that common functionality to create full-fledged web applications comes with the framework. Developers do not have to install some additional tools or software in order to work with Django. It allows them to create user authentication panels, admin panels, and forms. Moreover, Django is also compatible with ORM which makes database creation easier.

DRY and KISS compliant

Django developers stick to the DRY (do not repeat yourself) principle. It means that some frequently used pieces of code need to be used as templates. It provides a vast opportunity for code reuse as well as makes the development process faster, simpler and more effective. Moreover, it helps developers avoid redundancy and bugs. Django also follows the KISS principle that is generally understood as “keep it short and simple.” It means that the code is simple, easy to read and understandable. Not only does it help reduce complexity, but it also simplifies the automated testing process and makes it efficient.

Secure & up-to-date

When building a secure site, Django framework is here to stay. This framework is highly secure - it has effective encryption packages as well as built-in protection. It also receives security patches regularly, and even old versions of this framework still get the security patches. Long-term support (LTS) versions of Django typically receive updates for a three-year period. All these features make Django the first choice to develop a secure site or web application.

SEO-friendly

This is one of the special features which distinguish Django from other frameworks. Working well with search engine optimization, its complicated algorithm analyzes all websites and identifies whether your website meets certain criteria or not. In addition to that, Django provides an opportunity to develop the website following all SEO principles. Creating the website through the URL without the use of IP addresses on the servers makes it easier for search engines to add websites to the index that improves their SEO ranking.

Suitable for any project

Django is a very universal framework used for absolutely any web project: from a simple website to a complex application. It is full of useful features that web developers can use when working on a project. In addition to that, the Django framework is scalable that provides significant opportunities for high-load projects. Web applications built with this framework are easy to adjust for substantial volumes of information. Moreover, Django runs on all popular platforms such as Mac, Linux, Windows and supports databases such as PostgreSQL, MariaDB, MySQL, Oracle and SQLite. All these features open up numerous opportunities for the development of web applications of any type and complexity.

Compatible with DevOps

Your project can be enhanced by using the DevOps methodology. Not only does it enable faster deployment, but it also shortens the development cycle that makes it possible to adapt quickly to any business requirements and speeds up the release. Continuous integration and continuous delivery will automate project builds and tests. This feature will be helpful while building some complex applications. The DevOps approach in Django applications improves team cooperation and operational support that will make your development team more effective and productive.

Time-effective

The Django framework is good not only for complex applications but also for some quick projects that require fast delivery time. This means that Django is great for some MVP projects. Its time-effectiveness and high code reuse allow making some templates out of the code that is frequently used. Django also has a good and structured admin-panel, which also speeds up development. Moreover, this framework has a lot of out-of-the-box libraries and tools that saves a lot of time during the process of web applications development.

Scalable

Scalability means that framework can be implemented on a project at any level and complexity. Such websites as Instagram generate a lot of data per day and require high quality code. Being flexible and error-free, Django can deal with this load. In addition to that, Django was built from scratch and uses its libraries. Significant amounts of tests and debugging make this language very scalable. This feature makes this framework a universal tool for development.

Final thoughts

To summarize, Django is a well-developed framework that can be used in projects of any complexity and scale. High flexibility, simplicity and efficiency have made this framework extremely popular. Not only does it help you simplify the process of finding Django developers, but its high security capabilities open up ample opportunities to build secure and complex projects. Only by using Django developers for your project can you dramatically reduce the development time, speed up time to market and get a faster return on investment on your product.

Factors That Will Drive Python Growth in 2021

DDI Development — Tue, 23 Feb 2021 14:17:24 +0000

Python remains among the most popular coding languages in the world. Thus, according to the survey, 30% of respondents reported that they want to learn it and 44.1% of developers chose the programming language for web and apps. It’s obvious that it is here not only to stay but keep growing in 2021 as well. In this post, we're going to highlight the main factors that will drive the growth of Python this year.

Top 5 Factors Driving Python Ahead in 2021

Currently, IBM, Google, Amazon, Netflix, Dropbox, Facebook, Instagram, Pinterest, Uber, Spotify and many more famous companies and services use Python. What makes the language so popular among developers? Why does it grow so fast? Let’s start with a few quick facts that you should know about the coding language that makes it a real trend:

It has simple and clean syntax;
It's easy to get started, learn, and read;
It's supported by Windows, macOS, Linux, Unix, etc.;
It has an ever-growing ecosystem;
It's versatile;
It's open-source;
It supports third-party packages.

Thanks to these advantages, the coding language is multipurpose and, thus, can perform different tasks from standard web and app development to applying Artificial Intelligence (AI), Machine Learning (ML), and even data science. So, let’s elaborate on the top 5 factors driving Python ahead in 2021.

Machine Learning

Along with AI, ML is a hot topic and a must for all new projects, applications, programs, and services. The main task of ML engineers for developing intelligent algorithms is to extract, process, define, clear, arrange and understand data. Hence, data is the foundational element that makes ML projects so powerful.

Thanks to the ability of Python to process and deal with large amounts of data, it becomes one of the most popular and best languages to do ML. With Python programming language, developers can create ML-based systems or add them to the existing software products with ease. Not only does it help them develop high-quality ML models, but it also allows them to quickly put software solutions into production.

Data Science

To understand why data scientists choose Python, the 4 main stages of work with data should be considered:

Collection and purification;
Scanning;
Modeling;
Interpretation/visualization.

Python offers tools for each stage so that data scientists can work with large amounts of data more effectively and accurately. Thanks to the Python supportive community and a variety of libraries and frameworks combined with a simple syntax, data scientists are equipped to embed solutions, following the required algorithms and meeting all the standards.

Libraries and Frameworks

As we have already mentioned, Python includes an amazingly large collection of libraries (Pandas, as well as SciPy, or NumPy, statsmodels, scikit-learn, etc.) and frameworks (Django, Flask, TurboGears, web2py, etc.). This makes the language beloved by thousands of Python developers over the globe. Being an open-source language with a simple syntax, even a beginner can get a simple app up and run it. It’s true, thanks to the huge variety of modules and packages on offer, a few changes or lines of a code added can be enough to create an application.

The Internet of Things

It’s expected that the IoT market size will reach about $561 billion in 2022. So, it’s no surprise that IoT software development is in demand. Basically, IoT systems bridge the gap between the data networks and devices equipped with data sensing by connecting the sensor system with the data and providing information from the back-end. Hence, 2 tasks are to be performed at once:

1.Coding the IoT device;
2.Developing a backend that will interact with this device.

The highlight is that Python is perfect for both tasks. Besides that, keeping in mind the fact that there is a vast choice of libraries for all kinds of platforms available, a developer can write a code much faster than using any other coding language. What’s more, the IoT system can perform assigned functions in the same sitting with other languages and libraries.

Cybersecurity

Many cybersecurity specialists found the language a perfect coding choice because a lot of cybersecurity functions can be performed by the code. What’s more, there is no need in using any other third-party tools to perform the following functions:

Network/port scanning;
Malware analysis;
Host discovery;
Packet sending/decoding;
Server accessing/fingerprinting;
Creating intrusion detection along with prevention systems;
Simulation of attacks, and so on.

If you need to automate tasks, script and analyze data in a more effective way, then it's an additional reason to choose Python for cybersecurity.

Bottom Line

Knowing all the benefits and advantages provided by Python, it’s obvious that the programming language is here to stay in 2021 and beyond. Python is a modern language with a broad variety of tools and ways for creating recent innovations quickly and efficiently. Data science, machine learning, artificial intelligence, cybersecurity and IoT are just a few fields where Python can be helpful. Thanks to the clean syntax, a large number of libraries, an ever-growing ecosystem, scalability and versatility, this language keeps evolving, providing new possibilities for IT projects.