Python for your web development needs - A good option

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

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

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

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

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

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

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

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.

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

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.

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 application development services. If you would like to hire certified Python developer for your web development needs, please contact us Mindfire Solutions. 

Python - The language that needs to be considered

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

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

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

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

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

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

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