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.

Few frameworks using Python that developers should use

Python is an old language that was born in 1980s. It remained dormant for more than 2 decades before it gets reinvented by Google in its ambitious project “Unladen Swallow”. After the reinvention, it got an overnight popularity in the industry; because during the project most of the methods, modules and different approaches were newly developed to optimise the language. As a result Python get an amazing performance boosting of around 3 times than before. This speed is enough to mesmerize the IT industry. The best combination to the speed is its platform independent nature i.e. it can be used to develop different types of applications just like Java. To add this, Python is well equipped with a huge size of libraries that enables the Python developer in quick application development. Anyway, today we will discuss about few industry leading Python frameworks.

Django: This is the most popular and widely used Python development framework of the industry. It is extremely useful for modern web application development that needs both performance and speed altogether. It was developed by Jason Sole and Jason McLaughlin. They had implemented this in their job portal and it gave them a tremendous speed for their portal. Hence it is always treated as the first choice for online forums or portal applications that are highly data driven; because, Django has the potential to develop enterprise standard web solutions that needs both speed and performance. To add this, Python developers can get adequate scope to develop secure and highly optimized applications in Django.

Pylon: Well Pylon is not just a framework rather a combination of frameworks and interconnected technologies that are interconnected for improved performance. It is treated as a project and the python developers working for this project are usually busy in developing different new frameworks in Python to help the industry.

Pyramid: Pyramid is the first brain child of Pylon project; but, it is not a Micro in size rather it is heavy. With a large numbers of libraries, it enables Python developers in quick web application development that too efficiently and with all required features to meet the expectations of the industry. It is extremely helpful for developing CMS and KMS for different applications.

Flask: It was developed by Pradeep Gowda. Its born was little magical; because, it was born on a joke of April fool. He developed this framework to prove that Single File framework can be achieved. Flask is a micro web framework for Python developers to develop simple web applications on the fly. It is having a very few numbers of modules and components that enables the Python developers to build quick web applications. Though it is micro but, it has the ability to develop enterprise standard web solutions efficiently.

CherryPy: It is a “minimalist Python web framework” for the web industry and it enables the python developer for efficient and attractive web development. It has the capability to develop enterprise standard API web applications that are highly data driven. The only shortcoming of this framework is that it is better for small web applications due to its small size and limited scope within itself.

We provide Python application development services. If you would like to discuss with Python experts or would like to hire developers for your web development needs, please contact 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.