5 Reasons Python continues to Rule the Popularity Charts

Web development is hardly an easy task. Using a complicated programming language to that mix can often be a recipe for disaster. In order to make robust and user-friendly applications that the consumer loves to use, developers thus need to use a language that is highly functional without the complexity, is easy to implement and puts emphasis on code readability. Python, an open-source and object-oriented programming language, has continued to rank highly as one of the world’s most popular programming languages. According to Stack Overflow, Python has been the fastest growing programming language of 2017 and has overtaken Java and JavaScript for the first time this year. So what makes Python a developer’s favorite? Let’s take a look at some compelling reasons.

  1. More Features With Lesser Code:
    Python has the benefit of having a clear syntax and its simplicity. Since Python is easy to learn and is a relatively shorter language when compared to other programming languages it is easier to develop and debug. The features in this language are simple to graph because developers do not need to emphasize greatly on the syntax. Since the syntax of the language resembles pseudo code, developers can easily build more functions and features using fewer lines of code. This helps developers maximize code writing and helps them roll out software products to meet the demanding timelines of the present day. Further, the simplicity of the language also reduces programmer efforts and the time taken to develop large and complex applications.
  2. Extensive Support Libraries:
    Python gives programmers access to extensive support libraries. These libraries include areas such as Internet protocols, web service tools, string operations, and operating system interfaces. A lot of the popular programming tasks have already been scripted into these standard libraries which helps in significantly reducing the volume of code to be written. This also helps developers build functioning prototypes faster and reduces the time and resource wastage. This also helps in the ideation process, an often overlooked part of web development.
  3. Flexibility:
    Python is a high-level programming language but is far more flexible than most programming languages. There are many robust Python implementations that are integrated with other programming languages such as Jython, or Python integrated with Java, PyObjc, or Python written with ObjectiveC toolkits, CPython, a version with C, IronPython, that is designed for compatibility with .NET and C# and RubyPython which is Python combined with Ruby. This helps developers run Python in different programming scenarios. The source code written in Python can be run directly without any compilation, making it easier for developers to make changes to the code and assess the impact change almost immediately. Since it does not demand code compilation it further reduces the coding time significantly.
    According to Gartner, almost 90% of enterprises are using open-source software to build business-critical applications. Since Python was not created to address any one specific programming need, it is not driven by templates of API’s. This also makes the language more flexible and makes it well-suited for rapid and advanced application development for all kinds of applications. This enables faster time-to-market for enterprise applications.
  4. Robust Nature:
    Python is a solid, powerful and robust programming language. This is one of the reasons why some of the leading organizations across the globe such as Bank of America, Reddit, Quora, Google, YouTube, DropBox, for example, have chosen it to power some of their most critical systems. Since Python has fewer lines of code, it becomes more maintainable and is prone to fewer issues than any other language. Python also has the capability to scale easily to solve complex problems making it a programming favorite.
  5. Wide Range of Development Tools:
    Depending on the requirement, Python gives developers the advantage of a wide range of frameworks, libraries and development tools. Developers can leverage a number of robust frameworks such as Flask, Django, Cherrypy, Bottle, and Pyramid to build applications in Python easily. With increasing demand for custom big data solutions that demand features to collect, store, analyze and distribute a large amount of structured and unstructured data, Python gives developers the tools for data analysis and visualization as well. Developers can also use specific Python frameworks to add desired functionalities to statistical applications without writing additional code. Python libraries such as NumPy, Pandas, SciPy and Matplotlib further help in simplifying development of big data and statistical applications.Python also has a number of GUI toolkits and frameworks such as Camelot, PyGTK, WxPython, CEF Python etc. that helps developers write standalone GUI applications in Python rapidly.

Python presents itself as a comprehensive programming language that has basic tenets and simple instructions. This increases the level of accuracy and makes it easy to identify mistakes in development. Its simplicity allows developers to create system administrative programs to direct all processes correctly and efficiently as well. Additionally, Python has search-engine-friendly URL’s, making it SEO friendly. Given that it is a free programming language it also reduces upfront project costs. It has a rich web asset bank to support developers and gives developers the capability to combine it with other programming languages and technologies using specific implementations. Given the breadth of its capabilities, it is hardly a surprise that Python today is continuing to rule the development popularity charts. Has your application development turned to Python yet?

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