5 Reasons Why Organizations Need Python Development Services

While there are programming languages like Java, C#, JavaScript, PHP & others used widely by developers worldwide to build scalable and fast performing software and applications, Python is in a league of its own. Over the past 5 years, Python has shown tremendous growth in major countries like USA, UK, Germany, Canada and others due to its capabilities to build innovative solutions augmenting ML, AI, Big data and other technologies.

With a 27% annual growth, Python has become the desired programming language to build sophisticated software and application programs. This is why enterprises are now looking to hire Python developers to meet their complex business requirements.

As a leading Python development company, having worked on a vast number of python projects, here are our insights on why python is the language to rely on for organizations looking for scalable, immersive and high performing solutions.

1.  Simplifies Complex Development

Python, unlike other development platforms, allows programming for a wide range of applications ranging from desktops, mobiles and application software. Sometimes incorporating features in such applications appears to be a daunting task.

However, with Python, which contains a wide range of libraries and custom components, building such difficult looking tasks could be accomplished with ease. Whether it is in carrying out data analysis tasks or to create custom big data solutions using ML, Python can deliver everything ranging from simple apps to custom scientific applications.

2. Multi-Platform Support

Another reason why organizations rely on Python development services is due to its ability to run code on various platforms and frameworks. As Python is an interpreted programming language, it allows code execution on platforms including windows, Mac, etc without requiring recompilation after making changes in the code resulting in faster development.

This allows companies to not only build cross-platform products but also get product delivery in a quick phased manner. Hence business collaborating with a python development company can expect fast deployment of projects that are compatible with various platforms and devices in minimum time and cost, resulting in high ROI.

3. Standard Libraries and Multiple Frameworks 

Python developers have access to various libraries that help developers to execute various complex projects related to data analysis, computing, deep learning, data mining, and other software development projects. It helps organizations to implement sophisticated features and build software and websites that would otherwise be very tricky and difficult to build.

Libraries that Python supports:

•  Numpy: Developers use Numpy for executing mathematical and scientific calculations.
• Keras: Keras allows Python developers to write code for machine learning and neural networks.
• Tensorflow: Google’s library allows developers to implement deep learning features like pattern recognition and image recognition.

Moreover, based on requirements, Python libraries could be incorporated with multiple web, software and application based frameworks like Django, Pyramid and others.

4. Easy to Maintain Code

The quality of any software depends on how optimized, readable and maintainable a code is. An easy to maintain code is useful at the time of code changes and updates. The syntax rules of Python allow developers to use English keywords instead of using punctuation.

With this, Python developers need not write additional code while creating a custom application as code is readable and easy to understand. Most business owners rely on Python development services over other web frameworks and languages due to Python’s easy to comprehend capabilities in code resulting in faster testing and development.

5. Faster Prototype Development

With Python, developers can build prototypes for applications and software in a rapid manner. To ensure a prototype is designed, coded and tested in a lesser time, Python web
development companies takes use of the TDD approach. TDD or test driven development allows teams to perform testing and coding simultaneously.

It ensures organizations to know if their product is built in line with their requirements and hence can be improved in cases of shortcomings. Thus for companies that require fast deployment of projects, Python is the go to choice.

To Sum Up

Most applications, software and websites built on other platforms are equally good in some aspects related to speed and performance with Python solutions. However, there is no match to Python as a language due to its high quality cross platform support backed by easily maintainable code, and fast prototyping capabilities.

Without a doubt, Python is the best platform for organizations looking to surge ahead. Need Python Development Services? Let our experts know about it.

Plan upgrading to Python 3 if you have not already

Python.org decided to sunset Python 2 on January 1, 2020. This means that the community who maintains the beloved programming language will not be improving Python 2, even if a security issue is found out. Python 2 had a great life span of 20 years. While Python 3 was rolled out quite early, in 2006, developers kept working with Python 2 and the community therefore duly maintained both the versions. The last version of the Python 2,  2.7.18, would be rolled in April 2020, and that would be the final version.

If you are still in a state of flux and meaning to wait until 2.7.18 releases, as an experienced Python development company, we offer 5 reasons to convince you otherwise.

Python 3 has proven its mettle already

Python 3 community patted its back when Instagram reported close to 12% improvement in CPU performance and a 30% improvement in the usage of memory resources after it migrated to Python 3 and updated to Django 2.0. When companies of such prominence as Instagram have affirmed the efficiency gains through migration, it is high time that the rest of the Python 2 projects follow suit.

Python 2 Software will get increasingly prone to Security Breaches

It is a well-known fact that the legacy software are vulnerable to breach incidences as they are closed systems with little support from the developing community. Since Python community won’t be supporting the Python 2 version and also because most of the developers are already invested in Python 3, the Python 2 projects will keep on getting prone to security breaches. Though securing a Python interpreter won’t be much difficult, but if you plan to maintain the project with the 2.7.18 version, any security patch now onward would be unofficial. You might even end up patching manually if you are not using a long-support distribution like Linux. Gradually, around mid-2019, third-party dependencies began shedding support for Python 2 and this also adds to Python 2 woes.

Third-Party Python libraries will not roll updates for Python 2

Being an open-source programming language and having been on the development block for almost three decades now, Python has a rich stack of third-party libraries. The collection is vast, inexpensive, and fairly easy to use. Ready-made solutions for basic functionalities have helped developers in accelerating SDLC. After the official sunset of Python 2, almost all the popular libraries will discontinue rolling its updates. Integrating obsolete libraries would make the software prone to security breaches and may attract an additional cost of development in rectifying the same. Since Python is open source, you might get new fixes for even obsolete libraries but the authenticity of these fixes would be doubtful.

Python 2 Projects will incur incremental maintenance costs

In the not-so-distant future, talent with proficiency or interest in Python 2 will plummet. It will be difficult to hire Python developers for maintaining the project built on the relic version, not-to-mention that sticking to obsolete technologies leads to employee attrition. Even if you happen to find Python 2 experts, it will be costlier to loop them in for fixing an obsolete technology because not only they would be fewer, your increasing dependency will make them quote a higher price. Some organizations are still pondering that upfront investment in migration to Python 3 and restructuring the entire IT ecosystem would be costlier, but as an experienced Python development services provider, we know that it is far from the ground truth. The latest technology proves to be more economic in the long run when you consider the cost of inefficiency, troubleshooting, and distrust with end-users.

With added features, Python 3 is way better

Python 3 was released in 2006, and in a decade-plus of its existence, it has gained all the advantages of Python 3–  the easy availability of third party libraries, strong developer community for debugging and troubleshooting. Besides, Python 3 is unarguably the better version. Whether it is strings that are Unicode by default or type annotations that improve static code analysis or the best part-chained exceptions; Python 3 undoubtedly eases a developer’s job.

Summing Up

Python 2 has lingered a bit too long. And as a Python web development company, invested in Python projects with different industries, we see no reason for the Python community to recall the sunset that was announced some five years ago. We speculate that maybe Linux distributions will offer critical security fixes for popular libraries this year, but then they would have to stop doing it for the future. While some developers have been able to funnel some of the Python 3 features in Python 2 through forks and back-ports, still it is not a safe way to maintain the project.