Why the need of Python developers increasing in the industry?

C and C++ are the languages which are extremely reliable and popular among the developers for past three decades. Many languages were born to challenge with these languages and to knock out them. But till today there is no perfect replacement for these languages. Python is one such language which was developed in early 1980 to challenge with C and C++. Though it was not able to replace these historic languages but it managed to remain in the industry with a different identity for a different purpose. Python has seen a tremendous rooler coaster movement in its life in early phase but when it was reinvented by Google in 2008 for an ambitious project namely “Unladen swallow” it gained a tremendous popularity among the developers. With the end of the project, python has increased its efficiency to multiple times making it a fast choice for many purposes.

Importance of Python: Python was basically developed to create desktop application. But later on it redefined its purpose to develop enterprise standard web applications which is a must for the modern era. Moreover, python developers can write good mobile applications and mobile games for the modern devices like smart phones and tablets. So we can say python is a fully fledged language having its existence in a large scale of industries.

Django- empowering Python: In recent trend, we can’t ignore the importance of framework for any language because framework makes the application development for any language not only efficient but also superfast. Django is one such framework which is dedicated to python developers. The Django framework helps in developing modern web applications at a much faster pace. The Django python developers can take the help of many in built modules functions and features of the framework to develop enterprise standard web applications. Django python developers can create interactive web solutions from various ambitious projects which needs more efficiency and speed for the application. Django python framework has many advanced features like cache management, automatic admin module generation, faster web design etc which gives a pleasant experience to the Django python developer and at the same time increase productivity.

Python for Modern Computer Devices: The best part of python is that it is not limited to just desktop applications. Rather it can be used for developing modern web applications as well as mobile applications including mobile games. Before few years, Nokia developers had developed a python based application for their series 60 mobiles known as Pys60 for different operations of the device. This clearly implies the potential of python language and hence the importance of python developers in upcoming time.

Why it is getting popularity? A recent study revealed an amazing outcome about python. It revealed that python is the first choice of developers for developing an application in 2013. Moreover, it has outperformed the undisputed language java to the second spot. The motto of Python is “Batteries Included”, that means all the required modules and functions are available within the library without any need of external resource; hence it is getting more and more popularity with time. This clearly implies the potential of python developers in 2015. Since python developers can develop any application for different sections like web application, mobile application, desktop application and hardware application hence we can see a bright future of the python developers in upcoming period. You can hire a developer from custom Python Development company, who can help you develop web apps that are stable, scalable and secure.

If you are looking for offshore Python development companies or would you like to hire Python developers, please get in touch with us. 

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.

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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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Python - Why is it a Real Contender in Big Data Arena?

As an open source, high level programming language, Python does not need any introduction. The general purpose programming language is used widely by programmers to create a wide range of software applications. The clean object-oriented design and extensive support libraries of Python increases the productivity of software developers. At the same time, Python is also considered by businesses as the best option for creating mission critical and big data applications in a distributed environment. The significance of dynamic programming language in the big data arena can also be determined from the fact that the original version of Google’s web crawler was written in Python.

What Makes Python the Best Programming Language to Write Big Data Apps?

Supports Common Internet Protocols and Data Formats

Python allows developers to create web services easily by invoking COM or CORBA components. The programming language further allows programmers to call components directly to and from the code written in Java, C or C++. At the same time, Python also supports the common data formats and internet protocols. In addition to providing powerful process control capabilities, Python also processes XML and other markup languages. The programmers also have option to create internet application by embedding Python like a programming language. The feature makes Python effective in supporting and processing a wide variety of commonly used data formats.

Meets the Requirements of Complex Multi-Protocol Network Applications

The big data applications are required to simultaneously process a large number of communication links. Along with database and network communication, the application also needs to run a large number of concurrent inter-process communications. Often a single process needs to simultaneously process a large amount and wide variety of communications. The Python programmers can use a software development framework called Twisted to create complex multi-protocol network applications that need to simultaneously process a large amount and wide variety of communications.

Just-in-Time (JIT) Compilers

Many Python developers use JIT compilation to increase the programming language’s speed and performance. Like Java Virtual Machine (JVM), the JIT compilation detects only the specific bytecode that are under execution as hotspots. For instance, the Python programmer can use the alternative interpreter provided by PyPy to execute the Python code without any alteration. The framework can effectively execute the original Python code with average speedups of 6.3x. However, PyPy cannot be used effectively for creating numerical applications as it does not support Numpy arrays fully. So the developers have to additionally use numexpr as a JIT compiler to evaluate all complex numerical expressions at a rapid pace.

Libraries to Analyze and Manipulate Data

The Python libraries help big data applications in analyzing and manipulating a huge amount of data. The latest applications also require the data scientists and business analysts to use agile tools to effectuate the data analysis and manipulation. As a powerful language, Python can be used by these professionals to resolve complex problems in any domain. Further, they have option to integrate Python with their existing IT infrastructure. So the Python-based big data applications can effectively analyze and manipulate large amount of data in almost all domains.

However, many businesses are still skeptical about the significance of Python in the big data arena due to the poor performance of pure-Python applications. But the users still have option to overcome the disadvantage by linking Python with library extension written in other programming languages like C and FORTRAN. Also, the business can avail the benefits of certain open source projects to optimize the speed and performance of Python by compiling it into native code. The innovative projects further make Python the best programming language to write mission critical and big data 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.

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.

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Top IDE's that can be used for Python Development

Python is an interpreted language. This implies that the users hardly need to have an extensive knowledge about the hardware and the memory or the elongated string of the 0’s and 1’s. With Python, what the user needs to do is to write codes in text form, with predefined syntax as well as keywords. IDEs or Integrated Development Environments can be defined as code editors. It may include certain tools as well as components that can well be used to develop a particular software application program. The programmers nowadays prefer to use these IDEs as they help them to save time. Besides, these IDEs come up with certain features that help them perform much better task that an ordinary or conventional text editor.

Explorer

This particular IDE tab shows up the list of folders and files that are being used in a project or program, which is being developed currently, at a given point in time.

Source Editor

This IDE behaves just like a normal text editor. However, it is much smarter when it comes to source codes, and generally suggests the programmer, the likely keywords, or functions that can be used for programming.

Debugger

As the name suggests, this is a debugging tool that is actually a program that can be used for testing as well as debugging other programs.

Compiler

It is a computer program that is designed to transform the source codes that are written in a particular programming language into another understandable language.

Form Builder

This particular IDE is designed for creating GUI or Graphic User Interface. It comes up with a tool box that controls the functionality of the IDE. It also helps in designing the user interface.

Ipython

It is regarded as the best as well as the most popular python IDE. It is designed to facilitate interactive computing, irrespective of the language used, with the help of its interactive kernel, which directly interacts with the client. This also implies that all the kernel features are readily available to the clients. Technically speaking, iPython is an interactive computing command shell, which comes in particularly handy in case of parallel computing.

Sublime Text 2

This is another extremely powerful as well as effective python IDE that is available for Linux, MAC OSX as well as Windows OS. It can be downloaded as well as evaluated free of cost, though to continue using licensed version, it needs to be purchased. Sublime Text 2.0.2 is the most stable version, though a newer version, Sublime Text 3 is also available and can be downloaded.

Komodo

This is a highly effective and popular IDE that comes up with unique features that has given it the name of ‘Smart IDE’. It is compatible with languages like Ruby, PHP, JavaScript, Perl, CSS, Python, HTML, quite a number of web based templates, SCSS, Node.js, CoffeeScript, Tcl, LESS, XSLT, and the likes. It also has certain value added features like Code intelligence, Advance editor, Multi-Process Debugging, Code Folding, Graphical Debugging, etc. The IDE is available in Linux as well as Windows OS.

Eric

This is another Python IDE that is extensively used. It is an open source IDE that is scripted in PyQt with the help of the editor widget, QScintilla. It is basically used to write programming language in Ruby and Python. The IDE is based on Qt GUI toolkit that is very much cross platform, integrating the Scintilla editor control that is highly flexible. It mainly is used as a professional tool for project management that integrates a number of value added features that Python offers. It also has a plugin system that helps easy as well as a seamless extension of its functionality with the plugins that can be downloaded from the net.

PyDEv

This is another very effective IDE that is used mainly for Eclipse, and are complete with some astounding features like syntax error spotting mechanism, code editor assistant etc. As the IDE is based on Eclipse, handing it is much easier than the other IDEs.

You can get in touch with a Python development company who can help you develop web application within allocated budgets and time schedules.

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

Python - Why Do We Use Django For?

Django can be defined as a high-level Python Framework that helps the users to come up with faster as well as cleaner development along with some realistic designing of websites. Developers today prefer to use Django over Ruby on Rails due to certain reasons. They are described below:

Language

Python is extremely articulated as a language. You will find definite guidelines along with instructions, particularly about the way the codes are to be written or formatted. Besides, you will also find a clean structure in the codes, irrespective of whatever you do. In fact, the framework follows the good old principle that says, “Codes are more read than they are written.”

Presence of 3^rd party Libraries

When it comes to 3^rd party libraries, using Python will not pose any problem for the developer. The libraries are powerful as well as mature enough to make coding seamless as well as fast as well as free of hiccups.

Helper Tools

It comes up with some helper tools that will make the life of the developers much easier. These tools help you maintain as well as deploy the codes. If a developer takes some time and learn their application in a proper way, they will give some healthy returns at the end of the day in terms of advantage as well as perfection.

In other words, one framework is used over another because of the advantages it is offering. From that point of view, Django scores over Ruby in a number of aspects.

In fact Django is the framework for those who are perfectionists, particularly those, who tend to work with strict deadlines. With a string of value added features like helpers, working ORM, a fantastic admin interface as well as a few more, Django is a developer’s dream framework.

Object-Relational Mapper

It comes up with a default implementation mechanism that helps the developers when it comes to writing databases as Python class and query the same databases by using Python. This means that there is no need to write even a single SQL line manually.

Admin Interface

When it comes to taking care of a specific website or a client, it is imperative to manage all the content in a competent and flawless way. However, that does not mean that the codes and other texts need to be written in order to save time. It saves a lot of time as well as work. Django does exactly that.

A majority of people today uses Django, though the performance is not outstanding or spectacular, it is more than average and good enough to be used regularly to power up the normal sites that we see every day on the net. It is a good tool and a well built one as well and this makes quite a difference at the end of the day.

Guarantee the longevity of the site

This is another cool factor that will speak for Django. The framework helps the sites to enjoy longevity. It means the site will not go down easily. That it ensures better life expectancy of the site is one of the major reasons why sites today are made up more with Django than anything else.

It is fast

Each and every bit of this framework is designed keeping in mind the speed factor. The template language of Django is much faster. The speed is so fast that even the caching compiled templates appears slower than when it comes to re-rendering them upon each and every request.

Django Scales

Whatever you do – right from launching and running personal websites that run on shared hosting to the small band websites and the huge databases of public information to the social networking sites, Django is ultimate when it comes to handling all the data successfully. Hence, the framework features some astounding scalability that makes a difference. On top of everything, the budget involved is truly realistic as well as manageable.

Last but not the least, the admin of Django is amazing and is devoid of that customary writing of content-heavy sites that is associated with admin structuring. You can get in touch with a Python development company who can help you develop web application within allocated budgets and time schedules.

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

Leveraging the power of Python for processing Big Data - an Insight

Python, the highly popular programming language is user friendly as well as remarkably easy to learn. Besides, it also offers a string of highly powerful value added features that help in dealing with relatively large data sets that come handy in improving the productivity of the programmers and engineers.

For people who are familiar with Excel, it is important to pick up the benefit of the high end database of Python, so that they can manage data manipulation and analysis in an efficient way. Be it dealing with huge financial data sets or high value scientific data, Python helps in rapid development for retrieving, converting, processing, and analyzing large amount of data sets. Now let us discuss what gives Python so much power when it comes to processing bigger structures of database.

Holistic Design

Python allows various object oriented as well as functional design patterns. We all know, as different types of problems ask for different ways or processes of thinking, similarly, various problems ask for various types of programming paradigms. Thus, it can well be said that linear procedural process gets automatically associated with a number of scientific problems. However, when we speak about any object oriented style, it is built on classes that have internal functionality as well as external behavior, and that strikes a perfect design pattern.

This is why the classes in Python are practical as well as full-featured. The language is so designed to let everything pass around a particular object that should include functions, various class definitions, as well as modules. It is made up of a fully fledged iterator library and the features thereof combine with each other to make the language flexible enough to solve a wide range of problems, especially while handling huge database and this is one of the main reasons behind its popularity.

Readability

In order to reiterate the recurrent points, the syntactical structure that the language comes up with is extremely strategic as well as well thought. Unlike the other scripting languages like Pearl, when the syntaxes for Python were designed, the primary factor that was taken into consideration was – readability. It is this readability that helps the users deal with large database, using the language. Besides, it also encourages contribution to open source projects so that the users can discuss their codes with others without any problem whatsoever, and that ultimately results in better coding as well as handling of huge data structures.

It strikes the right balance between high and low level programming

Python helps in striking the right balance between the high-level and low-level programming and that has been one of its major strongholds. Its codes are reasonable. On an average, the coders would need to write about 6 lines of codes in C or C++ for each Python line, quite similar to any other high level language. This implies that though the programming speed remains the same, the coding speed for C or C++ is much lesser than that of Python as the coders have to write extra lines for the latter.

Comprehensive Data Structures

Good quality programming asks for usage of correct data structures for maintaining a true as well as justified algorithm. This at times is not taken into consideration while writing codes that are research oriented. However, Python is something different. With lists, sets, dictionaries, tuples, threadsafe queues, strings and other built ins that are used as stacks, it is well built for comprehensive structures of data that in turn leads to better data management, especially when it comes to handling large databases.

Hence, it can well be reiterated that Python offers a wide-ranging as well as complete programming solutions, especially while dealing with large structures of the database and this is almost indispensable in processing big data. This has made the programming language so very popular amongst the programmers and coders of today. You can get in touch with a Python Development company who can help you develop web application within allocated budgets and time schedules.

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

Web Programming in Python - Why is it a great choice for small business?

In the matter of web programming, we have several languages to use; some may be easy to learn while some others may not be so. In this scenario it may be difficult to choose the perfect one since each offers a distinctive set of advantages. Python is often regarded by most developers as a reliable as well as trustworthy language of choice; but sometimes small businesses do not consider it since it is not as mainstream a technology as Java, PHP, etc. However, on close examination it may be seen that it is perfect for small businesses and using it will only benefit them.

Simple readable syntax- In the program structure of Python, indentation is used for indication which may turn off those who are using the language for the first time. However, the similar syntactic stuff and {}s can be avoided which in turn leads to reduction in typing burden, making writing as well as rewriting of several lines of code easy. In fact, the organization of the syntax makes it quite clear and easily readable since some order is imposed on programmers. The code is easily understood by both experts as well as beginners; this leads to rapid productivity. Another notable thing is that there are lesser dialects in it in comparison to other languages like Perl.

Easy integration- All kinds of integration can be easily carried out. Web services can easily developed, CORBA or COM components can be invoked, process control capabilities can be provided, direct calls to and from Java code, C++ as well as C can be carried on. All common data formats along with internet protocols can be implemented; markup languages such as XML can be processed. You can even embed it as scripting language.

Reusable- Python carefully implements modules as well as packages to motivate program reusability. There is a huge Standard Python development Library consisting of already innovated set of modules. The functionality can be simply shared between various programs by breaking up into different modules to reuse them as parts of other programs.

Deep prototyping along with fast development- Programmers may easily integrate as well as interleave prototyping with the basic development process, making the entire development fast. Normally in other programs a problem may be approached in a new way but it would take almost a week. However, in this case you might just need about half a day. Thus existing imperfect codes can be easily worked upon and new ideas can be tried as well. The design of the application may be infused rapidly with experience, leading to a better quality of code.

Portability- It is compatible with multiple systems; on top of that the interface is similar on various platforms. Since the portable ANSI C is the basis of its writing, the language’s design is not attached to a particular operating system. This means the Python program may be written, tested as well as uploaded easily on various systems.

Opensource- For small businesses, cost is of prime importance. This issue is addressed effectively since Python is open source. This has resulted in a massive community support; the usage, modification as well redistribution is unrestricted. No license cost is involved and a huge amount of available resource makes sure that any coding problem is easily accomplished. Developers may easily take help of the massive library containing already developed third party applications. So coding becomes even easier as well as simple; to implement a particular action, it can be easily found and studied to implement in the program.

Python is not only fun to use, but easy to learn and powerful to handle almost any task as well. It is especially suited for small businesses since there is very little investment but a lot of profit. It considers all aspects and is the best option for functionality with cost effectiveness.

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