Python considered to be a powerful language in the coming years

Python is an extremely powerful language which can be compared to Java. In recent period, we have seen an overnight popularity of this language in the IT industry. Last decade Google had done some extensive research and analysis on this language which bring this over whelming popularity for the language. Though Python is one of the oldest languages of the industry but it gained its proper place recently. You may astonished to know that it has the capability to develop different types of applications like desktop applications, hardware programs, web applications and most importantly mobile applications. This is possible because of its object oriented programming approach for the Python developers. One of the important features of Python is its huge size libraries. Experts believe that a Python developer never needs any help from the external resources to complete his complex application because all types of modules, methods and classes are already present inside the library of the Python.

Python is truly powerful: Due to the large number of methods, classes and modules inside Python, it gives awesome feelings to the Python developer. A Python developer can build any type of application and of any size using Python with more accuracy than other languages. Why more accuracy? This is because of the use of its inbuilt functions in the applications which are extremely compatible with each other. Hence we have seen there is a tremendous popularity of Python language in the industry for the development of big data applications. This indicates the power and efficiency of Python language over others.

You can develop your web application in Python: Python is not limited to just desktop application or hardware programs rather it can build modern web applications for the industry. Moreover, due to its large size library, Python developers will be in advantage while developing a web application in less time. Python is powered with all modern amenities like HTML5, CSS3, JQuery and Cloud support etc. Hence you can develop modern web applications for your target users. This really makes sense when we think about light weight modern web apps for smart phones and tablets.

Python can be used for smart phone apps or mobile apps: Recently Nokia had released a mobile application for its S 60 mobile series devices. This application was developed in Python and that was PyS60. This indicates the potential of Python language in the mobile application development. We can develop any type of mobile application or smart phone application using Python language which is extremely safe and secure. This is safe and secure because, once a Python developer writes an application; it will be complied and then converted into byte codes just like C++ or Java which is extremely secure. So we can use Python in developing enterprise standard modern mobile applications for different devices.

A bright future ahead: A recent survey revealed a surprising output about the popularity of Python. It says that the popularity of Python is more than that of all time industry leader ”Java”!! Well we can’t say it is hundred percent true but still it indicates the popularity and potential of Python developers in coming future. So we can expect a bright future ahead for the Python developers.

You can get in touch with a custom Python application 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 developers for your 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.

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.

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

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.

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.

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 frameworks and features for working with Hadoop

The software development framework Hadoop has been developed in Apache and used to cluster storage as well as process data-sets on large scale in multiple hardwares. The main reason behind the creation of Hadoop was to enhance the search capability over several servers. This framework uses the factor of distributed computing to enable High Performance Computing. Java is the language in which the framework has been developed but other languages can be used as well like C++ or Python. Looking at the power as well as popularity of Python most people are prompted to use it. However, during that time the framework used must be Python-specific. These make writing in Python really easy as well as convenient. Some of the frameworks along with their associated features are discussed here.

HadoopStreaming- Hadoop Streaming is the number 1 choice for many developers since it is considered the most transparent as well as fastest option. It also encourages great text processing. This canonical method helps supply executables to Hadoop as reducer or mapper. Agreed-upon semantics are used for direct streaming. By default a tab character is used for separation of value and key. This helps in precise as well as clean functioning without the need of configuring a separate framework.

Pydoop- Pydoop script is another popular option which helps in writing of simple MapReduce programs. The reducers as well as mapper functions can be enabled with very few lines of code. When you need more functions than that provided by the Pydoop Script, Pydoop API can be switched over which is far more complete. With this Python RecordWriter, RecordReader as well as Partitioner can be implemented. It has certain unique features; it wraps Hadoop Pipes and claims to provide an interface which is quite rich.

mrjob- This open source framework has been developed actively by Yelp; it wraps Streaming. The operation between Yelp and Amazon Web Services makes integration between mrjob and EMR really easy as well as smooth. A pythonic API is provided by mrjob which enables users to use mappers as well as keys to work with all kinds of objects. The jobs can be run either on Hadoop cluster, locally for testing or on EMR. Multi-step jobs can be written with minimal setup needed.

Hadoopy- This Python wrapper has been written in Cython. This fast as well as simple framework is tested on more than 700 node clusters. Despite its tiny size, it is extremely well documented, transparent, fast as well as efficient. It can efficiently handle even complicated programs and is compatible with dumbo which allows switching back and forth between the two. The debugging feature is quite nice where messages can be written directly to stdout/stderr, that too without any disruptions to the Streaming process.

dumbo- The project for wrapping of Streaming is quite broadly used. This project allows easy writing along with running of Hadoop programs. In fact, it is often considered as a convenient Python API to write MapReduce programs. Its main identifying features are that it is efficient, easy, mature and flexible. Its simplicity does not stand in the way- it can perform low level things along with tricky actions. It relies on typed bytes to communicate with the framework. On top of that, writing resource-intensive elements natively in a job becomes very easy in Java. It is not only easy to write but easy to read too. It even provides several additional features along with boilerplate functionality.

Apart from the ones mentioned here, there are some other frameworks like octopi, Disco, happy, Mortar, Luigi, etc which can be used. These have several features and benefits of using. So considering everything, users have plenty of options when looking for the perfect Python framework to work with Hadoop. You can get in touch with a custom 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.

Hidden Features of Python That Should be Known to Developers

Unlike other programming languages, Python can be used for both scripting and non-scripting contexts. The high-level programming language is also used widely by developers across the world for general purposes. In addition to enhancing code reusability, Python further enable developers to accomplish complicated tasks without writing longer lines of code. However, programmers often fail to take advantages of all features and capabilities of Python. That is why; it is important for developers to know some of the hidden features of this dynamic programming language.

Seven Useful Tips to Optimize Python Programming

1) Exception Handing: The quality of a software application can be affected hugely if the exceptions are not handled in the most appropriate and graceful way. As a dynamic programming language, Python allows programmers to control the flow of programs through effective error handling. For instance, the EOFError can be used to make the program break out of the loop if the user enters wrong sort of data. The user will be further informed about the error through an error message.

2) User Input Validation: Often developers have to write lengthy and complex code to completely validate user input. However, they have to consider the sorts of information a user can enter while accessing the software. Python enables programmers to validate user input to ensure that the program received only the right sort of information without writing any additional code. Also, they can use exception handlings to implement some of the more advanced techniques of user input validation.

3) String Formatting Code: The programmers also have option to use Python string formatting codes to easily print a number of variables in a single string. For instance, the developers can use several formatting codes including s for string conversion, c for character, I for integer, x for hexadecimal integer, d for signed decimal integer and so on. At the same time, they also have option to modify the output by passing parameters to the basic code.

4) Using Dictionary to Sort a List: Often developers store complex data by using a list of lists. But they have to write additional lines of code to sort or print the list of lists. The Python programmers have option to sort and print the list of lists simply by using a Python dictionary. The use a Python dictionary will include the key that will be used to sort the list. They have further option to specify multiple sorting keys to optimize the process of sorting and printing the list of lists.

5) Optimize the Use of Classes: Python further makes it easier for developers to use classes without writing longer lines of code. They can simply create a separate file that will include the classes and class methods. The program needs to begin with an import class line to call the file stored inside the modules folder. The same process can also be used to import their own modules into the program.

6) Using Python IDE: The programmers can further choose from Integrated Development Environment (IDEs) to work with Python more efficiently. In addition to providing templates for common code, the Python IDEs will further facilitate syntax highlighting, source control, and code completion. Based on the needs of their project, programmers can choose from a range of Python IDEs including Eclipse, Komodo Edit and PyCharm.

7) Basic and Advanced CGI: The web programmers can convert a regular python program into a CGI script without putting any extra effort. Normally, developers use web forms to accomplish interaction with CGI scripts. As Python can also be used as a scripting language, the code can be easily incorporated into a web page. The Python code will process the form input, and return the data send from the server to web browser in HTML format. So the HTML form need not be separated from the Python CGI script.

In addition to knowing the hidden features of Python, the programmers also need to be familiar with several Python development best practices. At the same time, they must explore ways to optimize the usage of the programming language to save their time and efforts.

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

What is so great about Python 3?

As a dynamic programming language, Python is being used by developers across the world as a scripting as well as general-purpose language. The open source language further enables developers to express concepts without writing lengthy code, while facilitating code reusability. Python is also used by developers as easy-to-use scripting or automation interfaces required by applications written in other programming languages. A programmer can further avail several new modules by opting for Python 3.

New Models Added to Python 3 to Make It More Powerful

Concurrent.futures: The module provides a high-level interface that can be used by programmers to execute the callables in an asynchronous manner. However, the asynchronous execution of callable can be performed in a number of ways. The developer can use ThreadPoolExecutor to execute the callable through threads. Also, he can use the ProcessPoolExecutor to make the execution a separate process. But each method requires the same interface that is defined by the abstract Executor class.

Faulthandler: As the name indicates, the module includes the function required to explicitly dump Python tracebacks. The functions are executed when the application faces stops performing due to a fault, user signal or timeout. The faulthandler.enable() function is called to install fault handles for SIGFPE, SIGABRT, SIGILL, SIGBUS and SIGSEGV. The functions can be setup during the project startup either by using the X faulthandler command line option or by setting the PYTHONFAULTHANDLER environment variable:

Importlib: The importlib module can be used for two distinct purposes. Firstly, a programmer can implement the import statement within the Python source code. In addition to being portable to the Python interpreter, the module makes it easier for developers to comprehend the implementation. Secondly, the programmer can create custom objects that will participate in the process of importaing the components.

Ipaddress: The module enables developers to create, operate and manipulate on IPv4 and IPv6 addresses and networks. They can simply use the functions and classes included in this module to handle a variety of IP address related tasks including validating a network definition or IP address, and checking if multiple hosts are on a single subnet.

Unittest.mock: The module makes it easier for developers to test the Python application. The QA professionals can replace certain parts of the application with mock objects while testing the application, and make assertions about their usage. The core Mock class provided by the module helps programmers in not creating additional stubs throughout the testing suite. Along with being easy to use, the module is also designed with the features required for unit testing.

Selectors: The selectors module is designed based on select module primitives. It can be used by Python developers for high-level and efficient I/O multiplexing. Further, the programmers can exercise tight control over the OS-level primitives used. In addition to the BaseSelector abstract base class, the module also defines a set of concrete implementation for I/O multiplexing. However, the types of file object supported by the module with vary from one operating system to another.

Statistics: The module provides the functions required for calculating mathematical statistics of numeric data. These functions further support a wide range of numeric data types including int, float and decimal. However, currently the module does not support the behavior of several data types. The developers have to define mixed types specifically, and implement them according to the requirements of the project.

Recently, Python 3.4 was released with a set of new features to complement the latest trends in software development. The most recent version of the open source programming language comes with a new feature called asyncio that provides Asynchronous IO support. Further, Python 3.4 comes with a set of advanced features to meet the requirements of Cloud developers. 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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