Can Python Replace Perl In Most Cases?

Perl and Python are both scripting languages with object oriented programming capabilities and are available in most platforms and as such they target similar if not the same pool of developers world-wide which brings up the comparison and the competition. Now the question is, can Python upstage Perl and take its place in most cases? To answer this question, it would be necessary to look at the strengths and weaknesses of both Perl and Python, evolution of the two languages and the emerging indicators of preference in the developer community.

Perl

Perl was originally developed by in 1987 by Larry Wall as a Unix scripting language and has since evolved, developing capabilities for graphics programming, system administration and network programming among others. Perl was initially used for its powerful text processing capability but in the late 90s it gained popularity as a CGI (Common Gateway Interface) scripting language as the Internet began to grow exponentially. According to Wikipedia¹, “in 1998, it was also referred to as the duct tape that holds the Internet together, in reference to both its ubiquitous use as a glue language and its perceived inelegance”. The “perceived inelegance” here refers to the fact that Perl is bit too flexible when it comes to syntax and code structuring which in turn arises from the Perl dictum (articulated by Larry Wall ) “ There is more than one way to do it” , abbreviated to TMTOWTDI. However, Perl's popularity was so immense that it spawned a culture and a community, members of which contribute code, participated in discussions and development and worked as Perl evangelists. CPAN or Comprehensive Perl Archive Network is one of the largest repository of code and one of the major advantages in using Perl. But, the fact remains that Perl is no longer as popular after it started facing competition from new languages such as Ruby and of course Python.

Python

Python was first implemented by in 1989 by Guido Van Rossum but became more popular after the release of the second version Python 2.0 in 2000. Van Rossum named the language Python as homage to Monty Python's Flying Circus², of which he was a great fan but it also implied that the language was meant to bring fun to programming, something which echoes Perl's philosophy too. However, the aphorisms listed in the Zen of Python encapsulating core Python philosophy are clearly opposed to Perl's motto and philosophy. For instance, while Perl motto says “There is more than one way to do it”, Python philosophy emphatically rejects it, stating “There should be one-- and preferably only one --obvious way to do it.” Nearly all aphorisms in PEP 20 document are in stark opposition to Perl paradigm and conventions. After all, Python is known for being highly readable language with clearer syntax and coding convention and requiring lot fewer lines of code to create applications as compared to other popular programming languages. For instance, use of whitespace indentation instead of syntactic symbols like curly braces or semi-colon to indicate scope reads more like human language rather than programming language. This is especially important in contrast to Perl which is known for syntax that makes its code difficult to read. With a host of good libraries Python is now equipped with, it can perform nearly every task that Perl has been used to accomplish. Python application development also supports a number of GUI cross-platform frameworks, something which Perl is not really known for.

However, it is not really the difference in languages but adoption by developers that would decide if Python is gaining popularity at the cost of Perl. Currently, Python ranks on the 5th position in TIOBE Index4 while Perl ranks at 11th position clearly indicating a consistent decline in popularity over the decade. Also web search by users in context to programming languages in case of Perl has dwindled from 10% in 2005 to 2% from 2011 onward. A number of reasons could be attributed  to decline of Perl starting with the fact that the way companies do business has changed significantly since the days, Perl was considered the duct tape that holds Internet together. But more importantly there are strong indications that developers, mostly new but also older ones are choosing Python over Perl both for the former's neater structure and powerful capabilities. Python syntax and language structure makes it easier for new developers to pick it up faster than they would when learning Perl. Further, when working with existing codebase it becomes difficult to understand because of Perl code's notorious “line noise” complicated by the fact that since there are more than one ways to do it, the person reading the code may face difficulty understanding why a certain block has been coded in a certain way. This can be quite taxing in maintenance and upgrading projects. 

Python doesn't have a huge centralized repository like CPAN but it has spawned communities of users who are more or less contributing in a similar manner to provide support to users taking up Python as their language of choice. Already a number of GUI libraries and frameworks are being used extensively for rapidly prototyping and developing applications, an area where Perl seems to be lagging behind. Ironically, Python's popularity may be one of the factors drawing more developers towards it, especially young, enthusiastic programmers who can in the long run enrich the Python ecosystem. Further, Python being included in Linux distributions and supported by nearly all operating systems exposes the language to students at a very early stage. However, Perl does have a core userbase that is loyal to the language almost religiously and some continue to evangelize on community website such as PerlMonks, while others simply find Perl superior to other languages and are unlikely to switch over.  So, while it is unlikely that Perl would entirely be replaced by Python, the latter is most likely to become the dominant language in most cases where traditionally Perl occupied the top position.      

 
Mindfire Solutions has rich experience in developing dynamic websites, custom web applications and Desktop Applications in Python and Django. With an 8 year track record of consistently wowing customers hailing from various industries and geographies, Mindfire Solutions isthe Python development company, you were searching for.

7 weaknesses of Python as a programming language

“Python the most influential technology of the industry comes with many shortcomings! It’s absolutely true and obvious! Also this happens with every technology including Java, .Net or PHP. Let’s check out what are those weaknesses, especially from a developer’s point of view.”

Hard to learn and implement: Any programming language can never touch every one’s heart unless until found as a simple and practical language. Easy to learn, ease of use and ease of implementation are the three basic success pillars for any software language. Though industry respects the power and potential of any language, at the same time it also emphasizes on the acceptable level of the language. That is the reason why technologies like PHP, Ruby on Rails and many JS frameworks are gaining tremendous popularity in the industry within a very short span of time. When we look at Python, an old era language, it seems to be much more dominant than any other language. But at the same time it also reminds us about its difficulties that start with the learning of this technology. Due to an ancient technology, it has many glitches and loopholes within the language. It is not as easy as any other programming language, especially web domain specific languages. Things become worse, when we find it really difficult to implement Python syntax to our application. It could have simpler and well organized for a better implementation. Fresher usually hesitates to kick start their career with Python. So it needs to be improved in the future to gain more acceptances from the industry.

No proper scopes for Python variables: No matter how much you are inspired from your big brother, it is useless until we find you as helpful and as useful as your big brother! It is always told about Python that it is highly inspired from C++ and Java especially the object oriented approach of C++ and Java are heavily implemented within Python. But it is already discovered by experts and Python developers that there is a terrific issue with the approach of handling reusability in Python. Reusability concept makes the maximum use of resources in an iterative manner to improve the speed and performance of the application. There are basically three types of scope concepts to implement reusability and those are public, private and protected. These three scopes vary in their approach to handle the application resources like variables, methods and classes. Now the problem with Python is that it has a confused approach for handling the scopes of the application variables and functions. It is discovered that public class’s variables are not accessed by other functions within their scope. In fact, with nested loop, the scopes of the variables are highly demoralized by the language. It creates unnecessary complexity and confusion in the mind of the Python developer.

It takes lots of memory: Since Python has the industry leading volume of libraries and modules; it is obvious to allocate a good amount of memory to the language. Larger memory is considered as a fatal concern for the modern browsers like Smartphone and tablet browsers. So, it creates troubles for the Python developer in crafting industry standard light weight web applications with such huge volume of libraries on the shoulder.

It is Virtual Compiled language! Many believe that Python is a compiled language due to its higher tempo and performance that it has gained from its revival through Google’s Unladen Swallow project. But, the fact is that Python is an Interpreted language; it never gets compiled to machine level byte codes directly rather the source codes gets converted to an INTERMEDIATE byte code and then get converted to Machine Level code through an Interpreter! As a result, it can only be treated as a Virtual Compiled language and it hampers the performance level of the language. We are not saying that, Python has any performance issues; we just want to make it clear that it could have even better if it would have a Compiled language like Java or C++.

White space is discouraged in Python: This is yet another issue with the Python programming language. Indentation is always given priority in every language; but what about if there is NO punctuation like a curly braces as we find with other programming languages. Just imagine a case like:

If 1+1 == 2

Print “true”;

Print “false”;

You see, there are NO braces at all; this makes the code look ugly, at least to them who used to put “{“, and “}” into the codes. But, Python never allows any such possessions; it has a pioneering notion that, with these unnecessary stuffs or whitespaces the code length gets augmented and hence it makes the application weighty which is not at all a good observation.

Without a support from Framework, Python is like a mesh of everything: Python comes to your system with a tagline “Batteries included!” That means you need not to worry about anything; because everything is preloaded! But, are you qualified enough to take the benefit of those preloaded stuffs? I am sure majority falls behind the line. It is really difficult to memorize each and every library, module and methods of Python for any skilled Python developer. It can only be resolved with an IDE, i.e. integrated into the framework itself. The IDE will help as a personal guide for the developer with features like “Suggestions” and “AutoComplete” to make the best use of internal methods and libraries. So, you MUST take the help of a Python framework like Django, PyPy etc. for the benefit of your application.

Lack of proper Documentation: This seems to be highly unprofessional for any software developer; but this is absolutely true about Python. Though, the language is full of libraries, classes and methods; but the documentation is pathetic. Anyone, who has genuine intentions to learn Python from its core, will get frustrated within no time when he checks out for its documentation. The documentation severely lacks the comprehensive information about the language and this is highly sceptical for any enterprise standard language like Python. So, it needs to be enhanced enough in order to afford accurate and thorough information about the language.

So, all in all there are many loopholes in Python; at least from the developer’s point of view. Though, Python manages the loopholes with its unmatched potential and speed that it has gained from Google, it is left to you to decide whether it is really a good idea. In case you would like to go ahead with Python and are looking for an offshore software development partner, look no further than Mindfire Solutions which would be your best choice for any Python app development project.

5 top IDEs best suited for Django development!

“The importance of a good Integrated Development Environment (IDE) can never be let alone, for they render comprehensive facilities to developers in the entire process of software development life cycle. Its integrated build-in automation tools, a source code editor, and a debugger help improving the way programmers execute their projects here we are considering Django Python projects. While there are several performance-driven choices available for Django, the IDEs that enable smooth visual programming and make software development a fun experience are largely admired these days. Out of many, listed below are our picks for the top 5 IDEs for Django. They are not only user-friendly software applications, but also wrapped up with the necessary tools and functions that make development an interesting task”.

Vim

The most powerful IDE for Python that literally transmogrifies the way programmers work on their projects. Vim is an advanced code editor that offers the benefits of UNIX editor ‘Vi.’ Though it takes a couple of months to learn this IDE; the software application is incredible for anyone who seeks an effectual yet super smooth programming experience. An easy-to-understand interface further fetches extra points. Having unique and useful features makes the IDE truly the best among the rest. With Vim, you can get enough scope for Code Folding, Window splits, and Snippets etc. Moreover, Versioning is also possible with Vim! You can view your Codebase history using Vim IDE and it makes the IDE work like a small versioning software tool. Besides these features, it enables the Django developers to get better coding experience with AutoFill, Suggestions, and Validations etc. Syntax Highlighting is also there to make the developer find bugs easily as with any other IDEs. The Django developer can also navigate around the code with features like Searching, Go- To- Definition and Fuzzy text file search options. The best part about Vim is its support; it gets support from the most trusted Git! Above all, it enables Python developers to test the application with Django nose and Py.test, etc. All in all, it’s an amazing package for the Python developers.

Komodo

This one stands distinguished for the incredible support it brings to surface for different languages. Komodo is a renowned name for most of the IT developers working in different languages and technologies. May it be PHP, ASP or JSP; Komodo is there to support. It is one of the oldest yet powerful IDE of the industry. The integrated development environment application features a clean user interface and lends enhanced support to OS X as well. The tool even gets noticed for its code completion for templates and syntax highlighting (although, it nowhere works for the cocoa textbox shortcuts by default). It has better Syntax highlighting features along with smarter indentation for different templates. Debugging with Komodo is no less than a funny operation for the Python developers. Auto Code completion and Django template tags and filters are yet another top feature of Komodo IDE. In Komodo, there is another buzz for the Python developers that enables them to search file directly with Go- To- File search option. With Hyperlinks, it can make you traverse around the application on the fly and reach at the destination with a click. So, overall, Komodo is a great IDE for programmers who need support for multiple languages yet need simple programming.

PyCharm

Designed for increased productivity, PyCharm makes coding a quick, result-oriented experience. It is one of the most advanced IDE available in current industries. There are many features of JetBrain’s PyCharm to make the coding experience not only beautiful but also interesting. The charm starts with Code Assistance tricks like Auto Complete feature, Auto Indentation, Syntax Highlighting, comment or un-comment a statement etc. Code snippets and code folding is yet two major smart features of this IDE. Along with coding assistance for Python, it also provides support for other web languages like JavaScript, HTML and CSS etc that makes it perfect for the Python web developers. It also provides support for Django Internationalization or I18N i.e. helpful in creating multilingual and multicultural web applications. It has reStructuredText markup and Epydoc for highlighting and code completion for tags and tag parameters. There’s integrated support for Smart Code Navigation that allows users to conveniently leap into or skip any place of their code by using Go to Class or file or symbol, etc. The IDE features Intelligent Coding Assistance that lends support to auto-completion and a wide range of development tools, including database querying, SVN, Git, terminal, and debugging tools. As a whole, PyCharm is a great IDE choice (not to forget, its super fast code refactoring function).

Sublime

We could not afford to skip Sublime as such a well-designed IDE for Django. The IDE is also known as Sublime Text 3 in the industry. This is more for Python Django web developers since it has most features that will attract web developers on its first sight. Features like web language support, Split layouts, Chrome like Tabs, etc. makes it fit for the cyber industry. With st3_split_screen, the web developer can create multiple views over the platform that enables the web developers in viewing his code along with browser at once. It also enables the developer to test the application in one view while modifying the source code in the other. This works like a charm for the developers who offer expert Django development services. The multi-purpose tool comes with its personal, unique package manager that basically lets users install add-ons, additional styles, and plug-ins. It even supports several languages and is widely popular amongst web programmers. Along with that, it has almost all the features of any other Python IDE that are obviously common.

Wing

And of course, the one with more than 15 years in development and many more to welcome! Wing is an innovative, feature-rich IDE for Django - the highlighting aspect being its debugging tool. The tool enables extensive Python development, embeds auto refactoring tool with no errors, and high customization with several choices, key bindings, and user interface customizations. It even allows developers to introduce variables for expression, smoothly build blocks of existing code, and experience quick coding through ‘Go To’ code feature. Although it has dated UI and UX, Wing is a great IDE choice for Django developers (thanks to its embedded Pylint Tool and Auto Completion functions as well).

Mindfire Solutions has over a period of more than 9 years successfully executed a gamut of Django web development projects that have catered to various industries and geographies. To learn more about how we can help you with web development projects using Django mail your requirements to sales at Mindfire Solutions dot com.

An Introduction to Django REST Framework

As a set of programming instructions, protocols and standards, application programming interfaces (APIs) are used widely by modern software developers. An API defines how the software application will web tools and web-based applications. Thus, a software application sends request to other applications through APIs to perform specific things.

The programmers must be able to read and understand the API to effectuate communication and interactions between different software applications. Django REST framework (DRF) is designed as a powerful and flexible toolkit to help programmers to create APIs rapidly. Also, it makes it easier for developers to build web APIs that can be accessed through a web browser directly.

Important Features of Django REST Framework

Web-browsable API

As noted earlier, the web programmers must be able to read the API to effectuate communication between applications. DRF can be used as a powerful toolkit for developing APIs that are readable for programmers. When HTML format is requested, DRF generates HTML output for each resource. The HTML output can be read by the programmers as well as web browsers. The programmers can further browse through the resources easily, and submit data to the resources through PUT, POST and DELETE.

Serialization

DRF is designed with a built in model serialization. The model serialization enables developers effectuate representation of data without writing longer lines of code. At the same time, it further allows programmers to get the data delivered in a number of formats. The latest version of DRF also comes with simpler model serializers that are both easy to understand and easy to debug. The model serializers further allow programmers to switch between the explicit Serializer class and implicit ModelSerializer class.

Authentication Policies

To protect the website, developers have to check the incoming requests based on specific identifying criterions like who is making the request or if the request is properly signed. The developers mention a set of identifying criterions to decide about permitting or declining a request. DRF allows programmers to avail a set of predefined authentication schemes. The developers also have option to create and implement custom authentication themes. Whenever the view starts, DRF run the authentication scheme immediately. Thus, each time the authentication is performed before the proceeding of other code begins.

Customization

DRF allows programmers to use the class based as well as function based views. The regular function based views make it easier for developers to customize request processing. They can use the function based views to receive an instance of Request instead of the normal Django HTTPRequest. Likewise, the views can also be used to return a Response instead of the normal Django HTTPResponse. At the same time, the developers can use the api_view decorator to define a set of HTTP methods that the view will respond to. Thus, it becomes easier for programmers to configure request processing according to their specific needs.

Extensive Documentation

While using DRF, programmers can save time and efforts by referring to the extensive documentation, and availing the support of a large community. At the same time, they also have option to choose from several approaches to API documentation. Likewise, the Django REST framework can also be integrated with a variety of popular API documentation tools like Swagger and Apiary. Thus, the skilled Django developers can use these tools to make the browsable APIs self-describing and reusable.

The version 3.0 of the Django REST framework also comes with several new features including a new BaseSerializer class, simple model serializers, and printable illustrations on serializers. It further enables web developers to customize the requests handled by the APIs using a Meta API. So the developers can use Django REST framework version 3 to create, maintain and debug their application in a faster and more efficient way.

Mindfire Solutions provides expert Django development services from India, gaining its expertise from years of experience in Python/Django based web and application development. If you have any Django development project in mind, you are at the right place. Please write to us at sales at MindfireSolutions dot com and we will be replying to you in one business day.

Various Python Frameworks and their usage

'A variety of modules or the packages’ is what a web framework is, that enables a web developer to write web applications. This helps in the job of the developer because they don’t need to deal with minute details such as sockets, protocols, and others. Python is recognized as among the most popular and effective language that is available now. Python has several features in it that is very unusual to discover in any single framework. That is simple and also developers can take advantage of all these frameworks and can develop wonderful websites with this. Python comes with a huge library and, therefore, this is an extremely powerful tool and also enables high-speed development. It is possible to write as well as the programmers those are aware of Python could relax and see the Python framework doing the magic. Now let us see a few of the well-known Python frameworks available online.

Django - It is a free and is an open source web application framework, which is written in Python, that follows the pattern of model-view-controller architectural. The main goal of Django is usually to ease the development of complex, database-driven websites having a focus on reusability as well as pluggability of components. Django is undoubtedly the most popular Python framework around and number of Django developers is always on rise.

Web2py - This particular framework is the most fascinating among the all and it is completely independent and is also quite effective in handling, altering and modifying the applications through the browser only. Being a web developer, you don't have to be worried about the simpler task with the development process of any website since Web2py takes care of all those automatically.

Cubic Web - It is an excellent Python framework to work with the most interesting feature with it is the reusability on the codes. The units of code can be obtained in the type of cube units. It is very versatile and also effective and provides the coders an excellent knowledge.

Zope - This particular Python framework is totally different from normal Python frameworks that are available. Zope is quite effective in content management systems and it has got great resources of libraries.

Grok - Grok is ideal for both the inexperienced and for the very experienced web-developers. It has a stress on agile development. It is easy as well as powerful. This Python framework has very good similarities to Zope and provides compound building blocks and in addition it has got a great community.

TurboGears - This particular Python framework can be regarded as a conclusive framework and then there aren't any kinds of limitations in this particular framework. TurboGears offers a good environment for the coder in order to improve his or her performance.

Pylon - This is actually the most flexible framework around on the internet. Pylon does have a number of the most wonderful features of various Python frameworks with it. It has got most of the effective features of some other frameworks loaded in one framework. Hence, it is used widely by developers. Using this, a developer can possibly incorporate any sort of feature of his or her choice thereby making web development smoother and much more effective.

Web.py - This is a web framework for Python which is simple and yet very powerful. It is within the public domain, you can make use of it for whatever cause. It is an exclusive and an effective Python framework. Developers could experience ease and comfort making use of this. Programmers are facing no limitations and are usually quite easy to work with.

CherryPy - This particular framework enables developers to build web applications in quite a similar way they can build some other object-oriented Python program. It leads to smaller source code developed faster. CherryPy is currently over ten years and has now proved to be quite fast and stable. CherryPy has been utilized by various sites, starting with simplest to the much demanding. CherryPy is quite compatible to Python whereas web developers may easily integrate using this framework. CherryPy has an excellent feature of the capability to modify almost every detail.

Pyramid - The main task of this framework is that it makes simpler for a developer to build an arbitrary web application. The kind of application getting created isn't actually important; it can be a corporate intranet, a spreadsheet or even a social networking. You can use it in a variety of situations. The framework is known due to its performance and speed. Pyramid has a number of the excellent features of several other frameworks. As a whole Pyramid is a mix of some great features.

Flask - It is very ideal for building basic and light-weight applications. An inexperienced could find this framework missing various important features but for simple works together with less complex work is done better with this framework.

Mindfire Solutions is one of the premier Python development companies in India and has been providing quality software development services to its esteemed clients for over 8 years now. Our senior Python developers have delivered more than 50 custom Python and Django projects for our clients. Our Web Development Team is 15 years old now and equally adept in various web technologies like Java, ASP.Net, ColdFusion, Ruby on Rails, PHP and Front End technologies like HTML5 and JavaScript to name a few. If you have a rich web application and you need to upgrade/maintain the same or a new web application idea in mind, please feel free to write to us at Sales at MindfireSolutions Dot Com and we will revert back within one business day. 

Python Frameworks and their real world usage

Why should you go for Python? Python is a language which has gained a stupendous popularity in the industry within a very less span of time after the magical touch from Google. With the unladen swallow project, the speed of the technology has increased around two to three times. As a result, it is often preferred for large scale software application that needs high power and speed from the core of the language. Well in 21^st century we can’t ignore the importance of web domain and fortunately Python is highly flexible in developing enterprise standard web solutions. The web applications demanding more speed and power can be achieved with Python. All types of data driven web applications can be developed in Python with maximum power and potential. In fact, Python is extremely popular among the web developers due to its unmatched quality and performance along with few highly efficient Python frameworks. Let us discuss top Python frameworks of the industry.

DJango framework: This is probably the most prominent Python web framework of the industry. Django is extremely powerful and was developed by Jason Sole and Jason Mc Laugilin. It was implemented for the first time in a job portal to ensure its efficiency. Later on, it was released for everyone and received an over whelming response in the industry. This is the largest Python based web framework of the industry and hence comes with extra ordinary power and features for the Python developers. There is a huge support community for this framework who are working 24x7 to provide support to others. It has the most powerful admin interface for the top level control of any large scale web application. Practically this framework is extremely useful in developing online forums, portals and other social networking sites. It is also extremely popular in developing quick web solutions with maximum efficiency and minimum effort.

Flask: Flask is a micro framework developed in Python having a strange background. It was the result of an April fool surprise from an intelligent Python developer of India. Mr. Pradeep Gowda challenged his colleague to develop a single file micro framework in Python and he succeeded in the same and gifted it to his friend as the April fool surprise. Well, this is not as powerful as that of Django but it can be used for moderate size of Python web application development projects. It is best suitable for beginners who want to learn Python and start coding in less time span. It creates an insatiable thirst among the Python developers to experiment with the framework. It is often used in small web development that too within low budget and limited time frame. Hence it has received a good word of mouth response from the industry since its inception.

Pyramid: Pyramid is yet another awesome Python framework having extra ordinary flexibility to serve a wide range of web applications. It is also powered by git hub and hence there is no fear for support. It is the combination of pylons 1.0 and repose.bfg. It is growing in a much faster pace in the community due to its flexible nature. Practically it is helpful for developing enterprise standard API Python projects and creating Python based CMS or KMS.

Mindfire Solutions has been providing Python development services to its esteemed clients for over 8 years now. Our senior Python and Django developers have delivered more than 50 custom Python and Django projects for our clients. Our Web Development Team is 15 years old now and equally adept in various web technologies like Java, ASP.Net, ColdFusion, Ruby on Rails, PHP and Front End technologies like HTML5 and JavaScript to name a few. If you have a rich web application and you need to upgrade/maintain the same or a new web application idea in mind, please feel free to write to us at Sales at MindfireSolutions Dot Com and we will revert back within one business day. As a special limited period offer, you can also avail our Risk-Free Trial offer.

The reason behind the huge demand of Python developers

Python is a gem in the IT industry: Python was conceived in early 1980s and presented to the industry in late 80s. Due to lack of proper marketing, it could not gather the notice of the industry for more than decades. Moreover, it has some inbuilt issues with the core concept and that has been working as an obstacle in its success path. In twenty first century, Google brought it from dirt and made some necessary changes over its set up and configurations. As a result, it gained the power and performance that it has within itself but in a secret nutshell come to the industry. Google modified the core logic of the language and it also deleted all the repeated modules and methods from the library making it lighter and smoother. Now, it increased its performance by twice or thrice. Hence it becomes one of the most powerful languages in the industry. In past decade, it has received tremendous popularity among the developers and tech experts and turned out as a gem in the IT industry.

Python developers can build efficient and powerful web applications: Due to its tremendous power and efficiency, a python developer can build enterprise standard high performance software applications in different domain. The tag line of Python is “Batteries included” means, all the required modules, methods and classes are there inside the language through different libraries. Well, due to presence of all these resources, the development process becomes much easier than before. Moreover, these inbuilt resources are highly optimized and hence can give the python developer better mileage. To add this, the resources are extremely compatible with other components of the language making it even powerful.

Python enables software developers building modern applications in different domains: Well, Python was heavily inspired from C++ and Java and hence we can expect many similar features within python as that in C++ or Java. Python has the capability to build any type of application just like Java i.e. a python developer can build desktop software, web application, hardware program or even smart phone games. This is really a terrific feature of python and it enables its developers not to limit their talent in any specific domain. They can develop any application irrespective of domain, device and platform.

Reliability and quality is at its par of excellence: Well, Python is famous for its efficiency, speed and reliability. You can project a python application under any circumstance and you will get an amazing performance there. It is also extremely safe and secure. It has the potential in developing enterprise standard highly secure applications using 128 bit encryption technology. Moreover, you can also implement multi tier security measures in your application.

Availability of many supportive environments: Support matters a lot in IT industry. Fortunately, there is a huge community of Python developer’s in the industry. Hence you can get instant online support from them during your difficulties. Moreover there are many python developers portal where you can resolve your doubt and confusion.

If you would like to discuss with our Python developers India or you want to hire Python programmer for your web development needs, please contact Mindfire Solutions. We provide Python development services.