Why the versatile programming language remains a favourite among tech communities.
Python is inarguably still a relevant and important open-source software development language across diverse industries. It also boasts an impressive following, used by the likes of Google, Instagram, Spotify, and so forth. Whilst the language provides several modes of applications, its popularity will grow more apparent throughout this article, which will detail why Python remains a top contender for software developer jobs.
For starters, Python offers sophisticated process control capabilities. It can be used to develop complex multi-protocol network applications whilst keeping with a simple syntax, broadening its already wide audience. Its data structure is organised, so software developers are already able to use Python with readily available code. As for specifics, Python is considered an object-oriented and interpreted language.
Its versatile nature makes Python a favourable programming choice. Its simple syntax and sustainable ethos in re-using code caters to the needs of entry- and high-level software engineers. Its popular usage means Python continues to grow and develop into a more sophisticated language, including improved pre-built libraries, frameworks, and OS-independent functionality.
Applications of Python
Python’s adaptability means software developers can use it across diverse projects and systems. Popular applications of Python are as follows:
Web development, as Python hosts numerous and reliable web frameworks,
Graphical user interface (GUI) development, where developers can use pre-existing Python toolkits to transform designs into functional applications,
E-commerce, where software developers construct unique applications for numerous companies that ensures ease of use alongside other interactive elements.
More creatively, Python can be used for other applications such as for Blockchain technologies, game development, and machine learning applications, for example. To build these, software developers and engineers alike enjoy several popular frameworks that demonstrate experienced applicability. These include Django, Flask, Web2Py, and so forth.
Advantages of Python
Whilst its technical versatility is certainly one reason Python is popular, alongside its widespread applicability, there are further benefits in studying and using Python over other programming languages. Many languages can quickly become complicated with increased adaptability by programmers and developers. However, despite its valuable practise, Python communities swear by a simple and clean syntax to ensure optimum program performance. This means that writing code is quick and easy for developers to later refer to. Additional advantages to consider includes:
Community support: as Python is a popular programming language, software developers can quickly refer to numerous communities to assist their IT jobs in Malta and beyond. Resources such as tools, guides, and forums to answer specific queries are readily available when needed.
Ready-made frameworks and libraries: its widespread usage also means Python hosts many existing frameworks and libraries that are of outstanding quality, reducing the need for software developers to fully produce a product themselves.
Impressive social proof: as mentioned beforehand, the big tech companies that hold a global influence all vouch for Python. If Google, Instagram, etcetera, believe in Python, there’s no seeing this programming language remit anytime soon.
Python continues to hold a solid reputation that is reliable and simple to learn. Its usage across giant industries means the programming language has sophisticatedly developed to be increasingly compatible with other software and applications. In a world that is quickly advancing toward AI applications, Python has not fallen behind in this sphere. Rather, it’s already known to work for big data, machine learning, and cloud computing software, maintaining its steadfast growth alongside emerging technology trends.
Practical use cases of Python
Whilst the applications of Python have briefly been discussed above, it’s worth observing how these are put into practice today.
Automated testing, like many automation technologies, is able to scan through lengthy code and application features without human intervention. Python is a popular choice in this regard because of its extensive libraries dedicated toward positive testing performance. Python, alongside web-based tools like Selenium, combine with CI/CD (continuous integration and deployment, respectively) to run tests and interpret these for further application improvements.
Image processing and optical character recognition (OCR)
Highly important for AI technologies, Python is great for developers in creating image processing and OCR services. Its image and object detection are positive for machine learning capabilities alongside Python’s supportive libraries (such as PyTesseract, TensorFlow, and Python Imaging Library). Software developers often use Python for projects that involve computer vision and deep learning methodologies.
Web and software development
Python’s compatibility and widespread applicability allows software developers further choice in using the programming language alongside other software tools. For web development, this is an important feature, as it usually necessitates the use of multiple tools and frameworks. Python is a popular selection among engineering and programming communities in this sphere, for its clean syntax allows a generally uncomplicated code among the various featured software tools.
In the above application, software developers often use the frameworks Django and Pyramid to support Python in their project’s. Python’s connectivity with internet protocols such as HTML makes it a popular choice for web development generally. The tech giant Instagram, for example, used Django to create the platform we know today.
Many large platforms make use of web crawlers to scour the internet (and its copious accompanying data) and make a copy of their findings to feed into the functioning of search engines. Crawling data helps search engines make quick and reliable suggestions, producing reputable results in short increments of time. Crawlers are also helpful for the general maintenance of websites, in that they’re able to test the validity of HTML links and code. Again, Python is popular for crawling because of its extensive and available libraries.
Python is a flexible and versatile programming language favourited by big tech companies and software developers alike. It is for this reason that Python is expected to grow more sophisticated as its applicability continues to be developed across diverse industries and use cases. Whilst it is a common favourite for mid-level and senior software developers, Python’s simple syntax also makes it a popular choice among prospective software developers, and those engineers wishing to learn a new language. It’s clear that alongside emerging technologies such as AI, Python will be a mainstay in future developments as well as current ones.
Interested in beginning or advancing your career in Python or software development? Be sure to check our job's page for the latest technological jobs in Malta and remotely, updated weekly.
Join our Talent Acquisition Team at Castille
As we prepare the launch of our new digital platform, we at Casti...
The Impact on Businesses after Covid-19
Practical guidance for organisational and employee development.Covi...
Using AI to Benefit Cybersecurity
Cybersecurity has been a growing concern exacerbated by the Covid-1...
Banking on AI to Complete Financial Services
Whilst a large sum of AI goes unregulated, banks can no longer shy ...