Leveraging the Power of Python to Process Big Data

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

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

Solid and Powerful

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

Highly Flexible

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

Easy to Use

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

Works with Existing IT Infrastructure

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

Tools to Process Large-Scale Data

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

Reduces Time to Market

A number of reports have highlighted that enterprises prefer using open source programming languages to reduce time-to-market. As a dynamic programming language, Python can be used for building mission-critical enterprise applications for various domains. Python also comes with a huge standard library to reduce the software development time significantly. The developers also have option to write code in other programming languages, and integrate it with the Python code to fast time-to-market for the applications.

The effectiveness of Python to process big data can also be determined by its popularity among large and reputable organization. Python is currently being used by several reputable institutions including JP Morgan, Bank of America Merrill Lynch, ABN AMRO Bank, Treasury Systems, and Altis Investment Management. However, the small businesses and startups can also leverage the power of Python for big data processing, as it is an open source programming language.

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List of Python versions and their features

Python – Born of a legend in a legend style: Python was conceived in late 1980 and it gets born in December 1989. So you can imagine how much time it took to come out to the industry!! Van Rossum is the father of this legend. Well, in the initial phase of its life, it was full of ups and downs until it handed over to Google in 21^st century. Then it get refined, refurbished and gained a tremendous power within itself making it around 2 to 3 times faster than before. After the branding from Google, it saw an awesome phase in its life. It became more popular and widely used among the web developers as well as desktop application developer. The best part is it has the potential to develop any type of application just like Java or C++. It is highly inspired from the Object oriented approach of C++ and a huge number of functions and libraries like Java. In short, we can say it is the combination of both C++ and Java. Hence we can expect tremendous potential of this language. Anyway, now we will discuss on different versions of Python and their unique features.

Python 0.9.0: In 1991 February, Van Rossum released the code on alt.sources. It was labelled as Version 0.9.0. In this version, there were many features borrowed mostly from C++ like inheritance, Class concept, Exception handling and functions etc. It also includes different data types like str, list, dict etc. The most important feature of this version is Module System that was highly inspired from Modula3. Van Rossum described the module concept as "one of Python's major programming units". It has exception handling power with if else statement that is borrowed from Modula – 3.

Python 1.0: In January 1994 Van Rossum released Python version 1.0 with some new features for better functional programming like Lambda, Filter, Reduce and Map. Van Rossum describe this version as “Python acquired lambda, reduce (), filter () and map (), courtesy of a lisp hacker who missed them and submitted working patches. Later on in 1995 the python version 1.2 released followed by version 1.4, 1.5 and 1.6 by 2000 September. In this period there are few important features added in the language like keyword arguments and support for complex numbers which were modular 3 inspired. Moreover name mangilling and data heading also get included within this phase.

Python 2.0: On October 16 2000, the version Python 2.0 released. With this version Python introduced List Comprehensions concept that is borrowed from SETL and Haskell. It also introduced garbage collection system in the language. Then Python Version 2.1 released on April 2001 with a new name to its licence i.e. Python Software Foundation License. It introduced nested scopes in the language. It followed several minor to major changes through different versions like v 2.2, v2.3, v2.4, v2.5 and v2.6.

Python 3.0: On December 3^rd 2008, the latest Python version 3.0 released. This version was released with a huge modification in the language starting from its core design concept. It removed all unnecessary and duplicates. The guideline behind was “Reduce Feature duplication by removing old ways of doing things”. It brought an overnight popularity to this language along with performance improvement of around 2 to 3 times.

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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.

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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.

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.

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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.

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