Wednesday, September 2, 2015

An Introduction to Django REST Framework

Skilled Django developers
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.

Tuesday, August 18, 2015

Various Python Frameworks and their usage

Python development
'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. 

Tuesday, July 7, 2015

Python Frameworks and their real world usage

Python development
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 21st 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.

Thursday, June 11, 2015

The reason behind the huge demand of Python developers

Python development services
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.

Monday, April 27, 2015

Python for your web development needs - A good option

Python Development
Python an all rounder: Python was born in 1989 with Java and C++ as its inspiration. Later on, it gets reinvented by Google through its ambitious project called Unladen Swallow. Through this project, Python got a new name and fame in the industry. Moreover, in this project it is tuned to perform 2 to 3 times faster than before. So, it became a potential technology for the industry preferably for high performance software applications. Besides high performance of this technology it also has the potential to develop any type of application for any platform. A python developer can develop hardware applications, software applications, web applications and mobile applications in a row. Understanding the fact that it has a huge library and hence capable of developing any large scale application without much hassle, industry respects the technology. Moreover, it has all the features and amenities to challenge the future demands of the industry. Well future relies on web development and fortunately python has tremendous potential in developing enterprise standard web applications on the go.

Python for large scale web applications: “Batteries included” – This is the tag line of python. It indicates the large volume of inbuilt library available for the python developers. The library is filled with a large number of methods and classes that are extremely helpful in developing enterprise standard web applications with more efficiency and effectiveness. All these functions are well optimised and are extremely compatible with each other and hence when these are being used by the python developers in a web application, it results in high performance delivery. Hence this is extremely helpful for large scale web applications. Hence industry relay on the performance of this technology for huge applications like Banking, Insurance and other portals.

Python for modern web apps: When you are developing a web application you must make it fit for the future. In order to achieve the same, you have to consider various constraints like on which platform your application will run?, different devices and their hardware limitations, your target audience etc. There are millions of computer devices having smaller screen size are being used by the users to accesses web applications through different forms like internet through Broadband, through mobile networks and Wifi etc. Moreover, the new generations smart phones and tablets are also used heavily for browsing purpose through mobile networks from anywhere at any point of time. So you must make your application that can run on different devices like computers, laptop, smart phones and tablets etc. For the same a python developer must adopt responsive web design technology in building enterprise standard web applications for the future devices.

Python is future ready: Technologies like responsive web design through HTML5 and CSS3 and cloud storage service are the symbol of future demands. Fortunately a python developer can integrate these technologies in his web application without much effort; because python supports all these future technologies. Hence you can develop future ready web solutions for your customers.

There is a strong support community: There is a strong community of python developers around the world and they can help you coming out of any unexpected situation at any point of time due to their 24x7 presence globally.

You can get in touch with a custom Python web development company who can help you develop web apps that are stable, scalable and secure.

We provide Python development services. If you would like to hire Python expert for your web development needs, please contact us Mindfire Solutions.

Tuesday, April 14, 2015

Few frameworks using Python that developers should use

Python Development
Python is an old language that was born in 1980s. It remained dormant for more than 2 decades before it gets reinvented by Google in its ambitious project “Unladen Swallow”. After the reinvention, it got an overnight popularity in the industry; because during the project most of the methods, modules and different approaches were newly developed to optimise the language. As a result Python get an amazing performance boosting of around 3 times than before. This speed is enough to mesmerize the IT industry. The best combination to the speed is its platform independent nature i.e. it can be used to develop different types of applications just like Java. To add this, Python is well equipped with a huge size of libraries that enables the Python developer in quick application development. Anyway, today we will discuss about few industry leading Python frameworks.

Django: This is the most popular and widely used Python development framework of the industry. It is extremely useful for modern web application development that needs both performance and speed altogether. It was developed by Jason Sole and Jason McLaughlin. They had implemented this in their job portal and it gave them a tremendous speed for their portal. Hence it is always treated as the first choice for online forums or portal applications that are highly data driven; because, Django has the potential to develop enterprise standard web solutions that needs both speed and performance. To add this, Python developers can get adequate scope to develop secure and highly optimized applications in Django.

Pylon: Well Pylon is not just a framework rather a combination of frameworks and interconnected technologies that are interconnected for improved performance. It is treated as a project and the python developers working for this project are usually busy in developing different new frameworks in Python to help the industry.

Pyramid: Pyramid is the first brain child of Pylon project; but, it is not a Micro in size rather it is heavy. With a large numbers of libraries, it enables Python developers in quick web application development that too efficiently and with all required features to meet the expectations of the industry. It is extremely helpful for developing CMS and KMS for different applications.
Flask: It was developed by Pradeep Gowda. Its born was little magical; because, it was born on a joke of April fool. He developed this framework to prove that Single File framework can be achieved. Flask is a micro web framework for Python developers to develop simple web applications on the fly. It is having a very few numbers of modules and components that enables the Python developers to build quick web applications. Though it is micro but, it has the ability to develop enterprise standard web solutions efficiently.

CherryPy: It is a “minimalist Python web framework” for the web industry and it enables the python developer for efficient and attractive web development. It has the capability to develop enterprise standard API web applications that are highly data driven. The only shortcoming of this framework is that it is better for small web applications due to its small size and limited scope within itself.

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

Sunday, April 12, 2015

Leveraging the Power of Python to Process Big Data

Python Development
As a number of recent surveys have highlighted, Python is the most popular coding language of 2015. At the same time, Python is also rated as one of the most efficient programming languages for processing large, complex and hardcore data. As a high-level programming language, Python enables programmers to express concepts by writing less and readable code. The highly extensible design of Python further makes it embeddable with existing applications as a programming interface. There are also various tools that help businesses to process and analyze large-scale data by leveraging the power of Python.

Why Python is used widely by Businesses for Big Data Processing?

Solid and Powerful
As noted earlier, Python enables developers to express concepts without writing longer lines of code. Also, it supports several programming principles including object-oriented, imperative and functional programming. The feature makes the programming language robust, solid and powerful. So developers can use Python to write clean, readable and less code. In addition to being easier to debug and maintain, the smaller quantity of code is also less prone to issues. Also, the programming language is fast enough to optimize the data-driven applications’ functionality and performance.

Highly Flexible
Python is more flexible and scalable than other programming language. In 2007, YouTube migrated to the object-oriented programming language to accomplish higher scalability. The flexible nature of Python further makes it usable for building a wide range of applications including websites, internet apps, desktop applications, Voice over IP, and system administrative. The developers also have option to use a variety of Python tools to rapidly develop scientific and numeric application. Thus, Python makes it easier for businesses to create data-driven applications for different devices and platforms.

Easy to Use
Despite being powerful and flexible, Python is easy to learn and use. Many software developers even choose Python as their first programming language. Unlike other programming languages, Python does not require learners to look for references frequently. Further, the simple and straight-forward syntax of Python makes programmers adopt several good programming practices. That is why; the business analysts and managers can learn and use the programming language without putting any extra effort.

Works with Existing IT Infrastructure
Python is available for major operating systems including Windows, Linux, UNIX and Mac OS X. The developers can further execute Python application development code on multiple platforms simply by installing specific Python interpreter. So businesses can use Python regardless of their existing system. At the same time, Python-based solutions can be integrated with the business’s existing IT infrastructure. As Python can be used for creating a variety of data-driven applications, it becomes easier for enterprises to process hardcore data without investing in additional systems.

Tools to Process Large-Scale Data
In addition to being a powerful programming language for large-scale data processing, Python also benefits from various toolkits provided by the rich data community. Some of these tools can be used by programmers to effectuate the processing of large-scale data, whereas others can be used for interpretation and analysis of data. For instance, the Python programmers have option to use large-scale data processing and wrangling tools like PyTables, Pandas, PySpark, Disco Project, and Python API for the Spark data analytics framework. Likewise, they can effectuate large-scale data analysis by using tools like scikit-learn, scikit-image, and Augustus.

Reduces Time to Market
A number of reports have highlighted that enterprises prefer using open source programming languages to reduce time-to-market. As a dynamic programming language, Python can be used for building mission-critical enterprise applications for various domains. Python also comes with a huge standard library to reduce the software development time significantly. The developers also have option to write code in other programming languages, and integrate it with the Python code to fast time-to-market for the applications.
The effectiveness of Python to process big data can also be determined by its popularity among large and reputable organization. Python is currently being used by several reputable institutions including JP Morgan, Bank of America Merrill Lynch, ABN AMRO Bank, Treasury Systems, and Altis Investment Management. However, the small businesses and startups can also leverage the power of Python for big data processing, as it is an open source programming language.

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