Enterprise Software Development
Reasons Why Python Will Rule for Developing Enterprise-Grade Software
One of the dynamic programming open-source languages, Python is misinterpreted as an unreliable platform for enterprise software development. Even though most governmental, as well as commercial enterprises, use Python knowing its capabilities to build robust applications.
Comprehensive Understanding of Python
An interactive object-oriented language used for developing extensive application interfaces. Python is an integration of modules, data types (high-level), classes, dynamic typing that supports programming patterns and models beyond procedural and functional-level programming.
The foundation of the revolutionary platform was identified after realizing different problems administered by a programmer during system administration. The exceptions and error handling features gave rise to Python features. Integrated with a large standard library, Python empowers businesses to develop and deploy any kind of application.
The very name of Python was inspired by the famous 'Monty Python's Flying Circus', which was a BBC comedy series from the 1970s. The short and unique name slight mystery gave this programming language its name.
Python's Contribution in Real World
The myths about Python no longer sustain in this fast-growing market are getting attention as well as arguments. People consider python development services will be unstoppable due to three solid reasons -
One, Python gels seamlessly with the latest technologies, such as deep learning and machine learning for relative development.
Second, Python is increasingly adopted for IoT app development services. It is recorded as 4th in the topmost programming languages to be used.
Third, it is also suitable to begin developing application software integrating data science. The libraries of Python, such as Vaex, have the capability to read 1 million rows and PyMC3 can explore numerous dimensions parameters.
Many organizations have benefited from using Python as their core programming language to distribute services across multifold industries, be it hospitality, financial, agriculture, and telecommunications.
Python offers a wide range of solutions that are -
- Django and Flask for extensive web application development solutions.
- Pandas and Numpy for making data analysis and numerical processing.
- Selenium for providing automated software testing services.
- Vanilla Python can offer developers to write code for micro services-based architectures and Fast API for application's API development solutions.
Additionally, the convenience and flexibility Python provides is making this programming language to most of the developers. It can easily be instrumented to develop and scale one of the popular technologies - Artificial Intelligence, Machine Learning, and Cloud Computing. Developers can develop without the need for exceptional development expertise while benefiting the users with minimum effort.
Integration of Python with Technologies
Some of the successful amalgamations of Python with technologies explain the ease and convenience it offers to successfully integrate the most trending and innovative technology for business empowerment and offering unique services.
Python with CMS
One of the use cases of integrating Python with CMS for the ultimate delivery of content to the web is XIST. The CMS can be combined with the Java Server page library for relatively faster and efficient performance gain. And the best part is this gain does not demand any changes while taking care of the computing operations which may require dynamic type introspection, string processing & more.
Prototyping with Python
Python is a cost-effective solution for many developers to produce a prototype. Since developing a prototype of any language or software is time taking and challenging, Python requires less time for the same. The advantage is that you can use the same prototype code for Java prototyping, which makes the work less strenuous and time-consuming.
Python provides a much shorter time for creating and deploying prototypes than any other programming language. Other than mobile app prototyping services, Python leverages several XML parsing, fetches XML from the web with the help of its urlparse & urllib, automatically calculates image sizes, and fully supports Unicode out of the box for creating web pages seamlessly.
Python Applications Have Clean and Safe Code
Today, even the static code should be analyzed with time in order to improve the quality of your code and secure it completely. Python today is backed by an enormous community of developers and coders that not simply analyze and strive to make the integration of features and functionality seamless but also to ensure the utmost security of the code being used.
So, the projects developed on this open-source programming language are absolutely free from bugs and vulnerability.
Python encompasses various tools & workflows that are intuitive and fit seamlessly with the company's objectives. Some of the most reliable tools are PyLint, Flake8, Bandit, PyT, PySa & more to enrich the ecosystem of Python.
Python code repositories can be secured using the right tools. Third-party tools can easily be integrated to detect bugs, vulnerabilities, code smells, and security hotspots.
One of these third-party open-source tools is SonarLint that automated code analysis detects a broad range of code quality and security, and above all helps teams to deliver clean code.
Python has been the first choice as a programming language for many companies to provide web and mobile app development service. Many were able to develop a multi-platform application with the help of Python as it provides the requisite development, management, configuration, and interactive app server system.
Unlike any other platform to develop a web-based user interface, Python can help in making a short log story to consume less time.
Python is one of the biggest weapons for many developers to quickly enhance their productivity and deliver seamless while fruitful outcomes. The key to this is -
- Due to its eradication of the lengthy and monotonous code/build/run/cash development cycle to a rapid one.
- A wide and extensive library that contains countless external modules.
- Quick and seamless old code refraction to continuous productivity.
- Easy integration of third-party libraries so your development never stops.
- Expressive coding style for easy understanding syntax in one glance.
- A single or double click to install and propel a plugin straight into the server without the need for restarting.
Python can be easily downloaded for almost all kinds of platforms for development.
1. Python for AIX
AIX binary packages can be combined with Python 3 and no prerequisites are needed to be integrated for the same.
2. Python for IBM i
The latest release and improvements in Python's open-source packages can be installed and combined with the yum package manager of the IBM I Access client solutions product.
3. Python for iOS and iPadOS
A complete development environment created by Python for iOS is Pythonista that includes third-party libraries and system integration for both iPad or iPhone.
4. Python for RISC OS and OS/390
Python is available for RISC OS and can be acquired through the PackMan package manager. Moreover, python also complies with O/390 and z/OS which can be obtained from Rocket Software port.
5. Python Package for Linux/HP-UX/Solaris
Active Python can be purchased for commercial, community version, and scientific computing.
UNIX packages can be integrated with Solaris. A variety of Python packages can be used through standard Sun pkgadd.
For VMS, Python offers an integrated VMS port.
For client-side development, a requisite toolkit such as PyQt/Qt, Tk, and wxPython. These toolkits can help companies to learn the building of single packages and configure the packaging system. The ease of use, power, stability, portability this toolkit offers is incomparable.
Consistency, Agility, and Scalability
To scale, companies need to accelerate the process of development and deployment. Python fulfills the need for speed and scalability through GUI toolkit, GUID generators, numeric manipulations & much more.
Simply write your code in Python and deploy it on any platform you want through modules. Python also leverages scalability by allowing you to construct transparent and distributed systems & extensive API systems for scalability.
With each release, Python ensures its stability in the competitive world. The latest release is Python 3.95 with new syntax features, new string methods, flexible functions & variable annotations, interpreter improvements, and new library modules in the standard library.
This new and annual release cycle of older versions improves bug fixing through easy third-party components integration. These releases are stable and do not affect the interface at all.
Stats of Python of its Increasing Popularity
The Stack Overflow developer survey shared the data of 2020 fastest-growing programming languages and found that Python is among the major programming languages.
Python is the leading search keyword in Google Trends search keyword analysis. TIOBE ranked Python in 3rd position. And GitHub visualizes Python on 3rd of GitHub language popularity.
Other than these, in 2019, Python has been ranked as the leading programming language by IEEE followed by the same rank in 2017 and 2018 respectively. RedMonk also rated Python in 3rd position for its popularity in 2019.
The scalability and popularity of this object-oriented programming language were possible because the ecosystem of this language is backed by the giants inclusive of Microsoft, IBM, Google, Facebook, Dropbox, Twilio, and others.
Why Does it Matter to Have Chosen the Right Programming Language?
For any software development, your philosophy of the language must align with the one you have selected. Friction with the community of an open-source language or struggling to learn the language can affect product engineering services.
The popularity of Python is only possible due to the alignment of developers' philosophy and understanding with the language seamlessly.
Python's community focuses on beginners that can easily understand and implement the code for developing innovative and productive software that is scalable and matches the competitive edge of the market.
What to Expect in the Future?
As Python Community keeps on updating new features and enhancing the technical specifications. To observe the rational changes, you can simply visit the page of the index of python enhancement proposals for clear and specific information.
In a Nutshell -
Python is truly a dynamic and great exception handling mechanism to leverage abundant benefits. Every time an error occurs, you always have a solution for it in Python. Since the inception of Python, it has always been enhanced and improved.
This open-source contains thousands of libraries and modules that are ambiguous as best friends for a developer that supports him to deliver the desired product.
Enterprise development has changed dramatically over the years and Python has always supported these changes. Hence, no enterprise and technical executive cannot deny the fact that Python can be integrated and implemented for a scalable and reliable enterprise-grade development landscape for continuous business value delivery.
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