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.

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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.

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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.

Python - The language that needs to be considered

Evolution of a legend in magical way: Few technologies are born to rule the industry; but, they are shadowed due to lack of marketing in the early stage of their life and so the case for Python. When python was introduced in the industry, people were unaware of the technology. At that time, the industry was dominated by C, C++ and Java. So, Python didn’t get much response from the industry, though it has enough potential to rule the industry. But, latter on when it reinvented and refined, it received a tremendous popularity in the industry. It is one of few language that has the potential to develop any type of application may it be desktop application or web application or even machine programming. All can be done through this.

Google refurbished Python: In 21^st century, Google discovered Python from the warehouse and refined it to make it fit for the industry with all necessary improvements. It made Python more popular and powerful for the industry. After that, it has never seen backward. Python turned out as a gem for the industry. It is consider as one of the top language in the industry. It became more popular for large scale applications where you need power and potential to do the things properly and with more speed.

Python is damn powerful: It is said that Python has all that it need during the development process. A python developer will never search for any external support when developing an enterprise standard web application or software. It has a huge size of library that contains almost all the required modules and classes to develop industry standard software application. Moreover, even though it is huge in size but it is superfast. This is a magical combination of both power and efficiency we find in Python.

You can trust upon python for all your needs: Python is highly inspired from the object oriented programming languages like C, C++ or Java. Hence you can expect the best in class security features within your python application. Python developers can develop any type of applications for the industry; may it be web application or desktop application or even machine level programming you can perform all tasks with ease. Moreover, it converts your code to machine level binary codes hence it is extremely secure and you can trust over it.

It is up-to-date: Python has a special place in the industry for the purpose of web development process. It is superfast and up-to-date. It has all the features that a Python web developer will need during development process. Python developers can take the benefits of HTML5, CSS3 for modern web development process; because, it can be integrated with the application. Web developers can develop responsive web applications for a wide range of devices and platforms. You can also develop web apps and native apps using Python for your smart phone operating system like Android or Apple etc. Well, it also enables web developer to integrate clod technology to their application making it futuristic and efficient. So, we can say all we can think of can be done through Python and that too with tremendous power and efficiency.

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 developer for your web development needs, please contact us Mindfire Solutions. 

Increasing efficiency by using PyDev for developing with Python

Python for Industry needs: Python is one of the old languages of the industry which was born during 80s. It was heavily inspired form C and C++ and hence we can expect similar performance along with some advanced features in Python. For quite some time, Python was hidden from the industry but, in 21^st century it was again reinvented by Google. A project called “Unladden sallow” created a huge buzz in the industry because Google was trying to improve the speed and performance of Python to a large extent. Later on the language gained a tremendous popularity by the web developers and software developers in the industry because Python can be used for developing enterprise standard web applications along with desktop applications and mobile applications. So it is really an awesome all rounder for mobile developers, web developers and software developers.

Why PyDev IDE is must: Well, PyDev is a Python development environment which can help the Python developers in developing industry standard Python applications. Well PyDev can be integrated to eclipse just like a plugin to prepare a platform for the Python developers. We all know the importance of an IDE while developing a web application or software application. IDE makes the job of a software application developer not only easier but also efficient and accurate. We can expect similar advantages from PyDev IDE for the Python developers.

Code completion with auto import: Code completion is one of the major features of any software IDE. A Python developer can take the advantage of this feature in PyDev environment using “Ctrl+ space” command. Well we can configure the code completion feature with some add-ons like request completion on “.”, “_”,”)” etc it can help the Python developer to write the code in a much faster way than before. The web developer can use this feature to write class names, function name, variables name etc to avoid spelling mistakes. The best part is he can also import external files using auto complete feature like importing and XML file or dom file etc.

Type hinting: Like any other IDE, PyDev also provides type hinting feature with docstrings or comments. It will help the Python developer in different manners like return type with sphinx, parameter type with sphinx, local variable with sphinx etc. It helps in preventing silly bugs in the application development process.

Debugger with remote facility: Just like visual studio, PyDev also provides debugging facility. It will help the Python developers debugging his code in an effortless manner. The Python developer or web developer can use the break point concept in the PyDev environment to test or debug a small segment of the program. It helps in debugging a huge application in a quick way by removing unnecessary running of all the codes and just running the suspect segment of the code base. It helps in decreasing the effort of the software developer and hence increasing the productivity. Moreover, in PyDev the Python developer can debug a remote program which is outside of the eclipse environment. We can start this remote debugger server using command like pydevd.settrace().

Along with above features it also provides the Python developers some advanced features like code coverage, unit test integration, tokens browser and code analysis etc. So we can say this will definitely improve the performance, efficiency and productivity of the Python programs to a large extent. You can get in touch with a Python web development company for your

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 developer for your web development needs, please contact us Mindfire Solutions.

Which is stronger? Python or PHP

The debate between PHP and Python with regards to the respective strength of each as a stronger framework has been dong the rounds for quite some time now. Based on flexibility, provisions for friendlier development, options of support for varying number of functions arguments, licensing policy with respect to open source or fully commercial, portability, dynamic typing, community and the ability for freezing live objects within a string representation, the comparisons are drawn.

Features Supporting PHP

A number of features support the widely popular language of PHP. Namespaces are nonexistent in this language. The functions at times have prefixes to them in order to denote their source but often, they don’t have. The functions in PHP are placed quite often into the classes in order to simulate namespaces.

Being an extremely casual language, where quite often Globals are used for passing arguments and the use of global variables is discouraged since those are language independent. The environment is that of a commonly installed environment.

It has a single type of arrays that double up as a list as well as a dictionary. The dictionary keys are iterated according to their original order. PHP offers the developers with excellent documentation facilities along with a huge Community base along with a huge supportive codebase that is available online.

Features Supporting Python

Contrary to it, Python contains Namespaces and modules along with a small core. The language has Indentation for marking out the block structure instead of the curly braces that make the code look prettier. It has a concise, clear as well as an orthogonal syntax with self documenting through docstrings and pydoc. There are keyword arguments assigned to methods and functions to provide easy support in case of default arguments.

It has true object type of orientation along with ‘first class’ classes and functions. These classes have been used extensively in standard library. It has method chaining, multiple inheritance, object-oriented system for file handling, ‘del’ statement for all data types, consistent case sensitivity, threading, operator overloading along with iterators and structured exception handling like that of PHP 5.

It provides support for all the major GUI frameworks along with strong internationalization along with UNICODE support. It is known for being a mature, stable and upward-compatible language and it tends to lead into many more scalable applications.

Contrary to PHP, that consists of web development features which are built directly into the core language, the capabilities of web development in case of Python have been provided by various add-on modules.

The primary CGI capabilities are provided by the ‘cgi’ module that comes in the standard library of the same. There is even a wide array of various third-party modules that are available with respect to Python; some of which are complementary while others compete. These results in Python providing the users with an even more flexible base for carrying out projects related to web development.

However, there are certain adverse effects with respect to this flexibility like the choices and the entire range can be quite confusing.

PHP is a lot easier to begin with as a web developer unless one is highly experienced with working on Python. Moreover, support with respect to PHP is generally more common in case of the shared-hosting companies as compared to that for Python.

Furthermore, PHP unlike Python is embedded in the web server, whereas web applications for the latter have the option to be either embedded in the web server or to be run in a separate process.

Speed of Execution

Neither of the language has largely an advantage over the other and each has different things to offer for different spheres.

Maintenance

With respect to maintenance, Python is lot easier to maintain as compared to PHP even if one has not used the first language for a considerable time span. The scope access of Python is a better option.

Support/Community

Support and Community is definitely better for PHP but of late, there has been a change as large Python communities are helping out the users.

Python is preferred to the other language for developing a scalable application as it’s relatively easier here. Moreover, Google offers Python with more supports as compared to PHP with the Google App Engine that has the provision of free hosting for websites. You can get in touch with a custom Python development company who can help you develop web apps that are stable, scalable and secure.

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

Python Programming for Mobile Applications - Is It Possible?

Unlike other widely used programming languages, Python enables programmers to express concepts without writing lengthy and complex code. The general purpose programming language is further designed with focus on code readability, while featuring automatic memory management system and a dynamic type system. The large and comprehensive standard library provided by Python further makes it easier for programmers to create a variety of applications.

The huge popularity of smartphones, tablets and phablets often makes programmers explore ways to write mobile applications in Python. The high level programming language does not run natively on any of the widely used mobile platforms. So the programmers cannot use Python directly for creating mobile apps for Android and iOS. But they still have option to use a library called Kivy to create mobile applications that run seamlessly on major mobile platforms.

How Kivy Helps Programmers to Use Python for Mobile App Development?

Facilitates Deployment of the Same Code to Multiple Mobile Platforms

Often developers have to put extra time and effort to create versions for the same app for different mobile platforms. But Kivy enable programmers to write the code once and deploy it for various mobile platforms. So it becomes easier for developers to create mobile apps for different platforms. The Python library can also be used for creating the same app for both mobile devices and computers. After creating different versions of the same app, it becomes easier for the enterprise to package it distinctively for each app store.

Can Interact with Mobile Device’s Features

Kivy can further access rendering engines. It can interact with the device’s hardware and execute advanced rendering. For instance, programmers can use built-in adapters for smartphone cameras provided by Kivy to make the app more responsive. Likewise, they can also use the modules included in Kivy to render and play videos. Also, the robust input module of Kivy makes it easier for the app to interact with the users through gestures and multi-touch.

Easily Create an Array of Visual Effects

Kivy also has access to OpenGL. So it can be used for generating and rendering a wide range of visual effects. As it uses PyGame, it becomes easier for developers to create a variety of exciting games. However, the existing PyGame needs to be rewritten for the Python library. The programmers can use the modules of PyGame to play music, draw shapes and manipulate colors. As visual effects are essential to make a mobile app popular, Kivy can be used to make the mobile apps more impressive and eye-catchy.

Supports Asynchronous Request Processing

While using native apps, users want their requests to be processes regardless of the strength and available of network. As Kivy supports asynchronous request processing, it becomes easier for programmers to create apps that can finish the user request once the network in available. For instance, when a user frequently travels in and out of network areas, the feature will make the app sync the user request and finish it as soon as the network is available.

Provides Loads of Widgets and Controls

Kivy also helps developers in creating prototypes of the mobile app quickly by using several widgets and controls. The widgets and layouts are also available out of box. For instance, Accordion enables programmers to expand and collapse items through simple touch or clicks. Likewise, the user can use Carousel to swipe between slides. Based on the use of the mobile app, the developers can use the layouts and widgets to make the app deliver richer user experience.

Before using Kivy for creating mobile applications, the programmers must have a solid grasp on Python. However, the programmers are not required to know how to program on major mobile platforms like iOS and Android. Kivy further allows developers to define layout using a special language called Kv. As a layout language, Kv makes it easier for developers to keep the business logic and presentation separate. So the developers familiar with Model-View-Controller (MVC) pattern can easily use Kivy to write complex applications in Python development.

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GUI Programming in Python - How Does It Help?

As a general purpose programming language, Python is being used widely for creating a wide range of software applications. As it allows programmers to express concepts without writing lengthy code, Python reduces the time and efforts required for developing large and complex application. The high level programming language is also used widely for creating graphical user interfaces (GUIs). Nowadays, most software applications use GUIs to keep the users interested and engaged. Normally, GUI programming is considered to be more complex than conventional coding. However, GUI programming in Python can help enterprises in curtailing both coding time and efforts.

Why Python is used widely for Creating GUI Applications?

No Need to Write Lengthy Code

Python is one of the highly readable programming languages. Unlike Java and C++, it enables programmers to express concepts without writing longer lines of code. As noted earlier, GUI programming is more complex than conventional programming. So many programmers use Python to rapidly create GUI applications. Also, Python is designed to be fully embeddable. The feature makes it easier for programmers to integrate the GUI applications with other large software applications. On the whole, Python is effective in curtailing the time and efforts required for creating complex GUI applications.

Several GUI Toolkits

Python further allows developers to create GUI applications rapidly by using several toolkits. For instance, the developers can rapidly create GUI applications by using toolkits like Tkinter, PyGTK, PyQt, wxPython, Dabo and pyFltk. Some of these toolkits are cross-platform. So the programmers can use these toolkits to create GUIs that are compatible with multiple operating systems and platforms. The toolkits further include tools to manage memory and type casting efficiently.

Various Cross-Browser Frameworks

The Python programmers can further use several frameworks to create GUI applications compatible with major web browsers including Internet Explorer, Firefox, Chrome, Opera and Safari. For instance, a cross-browser framework called Pyjamas provides a library and a widget set to facilitate GUI programming for web. The framework further allows programmers to create web-based GUI applications without knowing HTML, JavaScript, CSS and AJAX in depth. They can use these frameworks to rapidly create complex GUI applications for the web.

Simple and Quick Prototyping

Often developers are required to create prototypes of GUI applications. The working models are required to display the application’s functionality, so that the proposal of the tester can be evaluated and tested. In comparison to other programming languages, Python is both simpler and faster. So it helps programmers to create prototypes of the GUI application without putting any extra effort. As the programmers can easily refactor the Python code, they can directly create the GUI application from the prototype without writing any extra code.

Open Source Advantages

Python is developed as an open source programming language. The programmers can write GUI applications in Python without incurring any additional expenses. Many enterprises even opt for GUI programming in Python to keep the project overheads under control. Like other open source technologies, Python is also being supported by a large community of developers and researchers. So the programmers can avail assistance of the community to simplify the GUI development process. Some developers even share code and programs that can be reused by others. So the programmers can use existing GUI coding to create GUI applications within a shorter span of time.

The programmers also have option to write GUIs in either Python2 or Python3. But there are several third party packages or utilities that currently do not support Python3. So the developers can use Python3 to make their application access specific packages or utilities. However, Python3 supports PyQt and PySide. So it can also be used for creating GUI applications. You can get in touch with a custom Python Development company who can help you develop web apps that are stable, scalable and secure.

We provide Python Development services. If you would like hire Python developers for your development needs, please contact us at Mindfire Solutions.

Is Python more versatile than other programming languages

The programmers use programming language in order to develop applications, scripts & programs to run the system. In other words, a programming language is actually a collection of instructions which can be used in order to communicate with a system. A large number programming languages have already been created as yet and much more are actually being created on a yearly basis. Programming languages & programmers have a very good future in upcoming time. It will always be an advantage if a person has a number of programming skills.

In case you are planing for Python course study, your options may very well appear confusing as well as complicated. There are in fact sites on the net which claim that they're able to provide you with Python knowledge as quickly as one/half hour. Which is absolutely untrue. However, you would be amazed to know that the number of individuals falls towards such type of marketing strategy. Having said that, there is going to be an additional 3 day trunk camps that would charge you a lot of money, also plenty of money will be spent on air travel, hotel dining. These are genuine, and many of these provide fantastic training, however for a lot of people they are not actually the most suitable choice. This type of trainings is best for those who already have a very good knowledge of programming in some other computer languages and have to learn Python in a rush for some project. Actually, it is possible about the a lot of individuals taking part in these types of trunk camps are not spending their own fees, their companies actually spend money on them to participate.

About modern work environments, Python coaching usually is an extremely significant part in a programmer's education. Being a vibrant language in whose style concept centers around readability & conciseness, Python is a popular option for using as a scripting language. Similar to some other interpreted languages, Python is a lot more versatile compared to put together languages, and also it allows you to tie different techniques combined. In fact, Python is a flexible language together with lots of applications in developing fields. For example, Python as a programming language meant for educational software. Raspberry Pi, the single-board laptop or perhaps a computer project for educating students on internet training, makes use of Python as its main programming language. In addition to that, most of it for only one Laptop for a Kid XO is published in the Python.

The other side of the educational scale, Python also is a highly effective language for the technical computing as well as statistical software for the theoretical arithmetic. Since educational software development continues to flourish, Python would become progressively more significant language to get familiar with. Additionally, to educational software, Python can certainly be one preferred language to use throughout any task. Since Python is the scripting language combined with rich text run tools, module structures, and also syntax eases, it's a natural and organic option for programs regarding natural language processing. Programs such as Wolfram Alpha dog along with Siri are only starting to go through the end-user market and much of this type program still in the future would be published in the Python. You can get in touch with a custom python development company who can help you develop web apps that are stable, scalable and secure.

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Advantages of Using MongoDB with Python

Despite being a relatively new player in the data storage arena, MongoDB has become hugely popular as a cloud era database. The NoSQL database is further designed with features to complement big data storage and faster query. A number of recent reports have highlighted how MongoDB has made the Python programmers’ life easier by allowing them to use document as a basic storage unit. The Python programmers can store all data as a document to accomplish enhanced performance and scalability. There are also a number of reasons that makes MongoDB the best database option for developing big data applications using Python.

Benefits of Using MongoDB with Python

Single Document Model: The key value based design of MongoDB makes it easier for it to scale out. Like other NoSQL databases, MongoDB also use document as a basic storage unit in a manner similar to a simple JSON object. The document model enables developers to save the data as a single document while treating them as a whole. So the database queries need to be written by targeting a single document that can be identified by its id. As the key value queries work much faster that the relational queries, MongoDB delivers enhanced performance by denormalizing the database structure.

Flexible Schema: Along with delivering enhanced performance, the document model further simplifies complex software development. The document does not support some of the common relational database concepts like SQL, tables, rows and schema. It also allows the application to create schema on the fly to add any number of fields to the existing document or MongoDB collection. MongoDB further rearranges and distributes the data evenly whenever the data on particular node exceed the threshold.

No Support for Join Operation and Transaction: MongoDB further does not support transaction or join operations to deliver scalability and performance. As the NoSQL database does not support transaction, the enhanced scalability allows enterprises to balance the load by using inexpensive hardware. However, MongoDB overcomes the lack of transaction support by supporting atomic increment and decrement operations. As all data is stored as a single document, the programmers are not required to use join operations to combine statements. The feature makes it easier for them to scale horizontally. The Python programmers can still use join operations to combine multiple queries.

Saves RAM: Unlike relational databases, MongoDB uses memory mapped files. These files allow the caching to be handled by the operating system. So the virtual memory provided by the operating system and hardware will determine the database size. The user also has option to use additional hardware to extend the size of its database. However, the use of memory mapped files makes MongoDB unsuitable for storing serious data on a 32bit machine. The user must increase the size of virtual memory to prevent the insertion of data from failing.

MongoDB Management Solutions: A user also has option to use customized MongoDB management solutions for public clouds. These solutions make it easier for businesses to deploy and manage enterprise applications without creating any expensive environment. Some of these solutions are even designed with features to run both Python server and MongoDB server on the same machine. The users can use these solutions to create and test Mongo and python code without investing in additional automation tools.

The Python developers can further use MongoDB 2.6 to avail several new features along with enhanced performance and reliability. The most recent version of MongoDB further comes with a completely rewritten query execution engine to deliver enhanced scalability. Further, the enhanced security, integration and analytics features of MongoDB 2.6 make it easier for developers to deploy enterprise Python applications in a simple and elegant way.You can get in touch with a custom python development company who can help you develop web apps that are stable, scalable and secure.

We provide Python development services. If you would like hire python developers for your development needs, please contact us at Mindfire Solutions.