Top 11 Features of Python that Make it Popular

Introduction

Python has been one of the topmost continuously rising programming languages in recent times. Having said this, it also has been one of the most underrated languages in the past. Yes, you read it right. It is because it could not see the brightness of success earlier. However, it has shown a significant rise in the 21st century.

Success is always hard to achieve, especially when you stand in a competitive market. So is true for Python as well. It was not easy for this language to earn popularity and rise immediately. Slowly and steadily, it gained admiration among the developers due to its various amazing features and benefits.

As a result, they started to use this language in the development of scientific computing, games, mobile apps, web & web apps, system administration, artificial intelligence, machine learning, embedded, ERP, E-Commerce, and more.

Let us take a look at the most promising features that make Python a popular choice among developers today.

Features

1. 1. Simple & Easy to Learn

   Python nearly resembles the English language, and therefore, it is simple and easy to learn. Developers do not need to have any extra skills to learn this language. As a result, Python has emerged as an open-source and free language.

   As we mentioned earlier, this language is simple to understand. It uses English keywords, which makes it easier for developers to understand.

   Further, it reads and interprets the codes having errors. Developers can effortlessly solve these errors.

2. 2. Strong Community Support

   Python has a wide range of community, wherein people can always seek assistance when they have requirement for coding purpose. Moreover, they can fetch any amount of information in this relevance. Therefore, developers building complex applications can take help from the community tutorials.

3. 3. Extensible & Portable

   As we say Python has strong community support, platforms such as Linux, Macintosh, Windows, and play stations back this language. The extensibility feature allows integrating the language with Java and dot net components to appeal C++ and C libraries. Moreover, it enables cross-language operations with its extensibility.

4. 4. Artificial Intelligence

   Artificial Intelligence involves responding as a human brain through various programs and algorithms. When it is united with libraries like scikit-learn, Python is capable of performing complex computations via a single statement. Moreover, other libraries such as Tensorflow and Keras bring in the functionality of machine learning as well.

   Apart from all these, Python consists of libraries that support image, face, and speech recognition through different features. Artificial Intelligence is one of the amazing features of Python that makes it a popular choice.

5. 5. Interpreted

   As we mentioned earlier, Python converts the source code to byte codes, which in turn convert to the binary language, it does not need compilation. It means that it can effortlessly run C++ and C to the binary language without going through compilation.

6. 6. Productivity & Speed

   Python boosts the speed and productivity of the development task through its features such as robust integration, improved process-controlling & text processing capabilities, and own unit testing framework. Therefore, it is the ideal choice for building complex multi-protocol apps.

7. 7. User-Friendly Data Structures

   Python comes with an inherent list of data structures that help in building runtime data structures rapidly. Additionally, it provides dynamic advanced data typing that significantly reduces the support code required.

8. 8. Testing Framework

   Python is an ideal choice for a startup, as it offers multiple methods of creating complex applications without much hassle of coding. Moreover, it provides examined cases and code testing, which is an integral part of the coding process for a code tester.

   With this language, he/she can rest assured with the testing task, as Python offers various testing frameworks that provide debugging and fastest workflows. Thus, Python offers to test for cross-platform and cross-browser through prominent frameworks.

9. 9. Object-Oriented Programming

   Python offers object-based programming that consists of polymorphism and inheritance. It allows reusing of codes through relevant code categories, thereby securing the abstraction of knowledge.

   Moreover, it provides the customization feature that allows prototyping to edit, scan, and write the code.

10. 10. Data Science

    Scientists have been using Python for fetching various kinds of information for years. Moreover, it is also utilized by academy students and PY field researchers for exploring MATLAB language the research project.

    Additionally, Python supports tabular matrices through libraries such as Seaborn and Matplotlib. Thus, it immensely supports data science in multiple ways, and scientists and researchers have remarkably used this programming language in their different scientific and research projects.

    Data scientists use Python to create predictive models to execute custom analysis on the data in relevance to the business requirements.

11. 11. Big Data

    Python is efficiently capable of managing ample amounts of data. Moreover, it supports parallel computing, which is one of the most wonderful benefits of the programming language. Additionally, it supports the Square Measure method through the PYDOOP library, wherein you need to write a MapReduce program in Python.

    Hadoop and Python are open-source platforms based on big data. It makes Python more compatible with Hadoop compared to other programming languages. Therefore, developers use Python with Hadoop to take the benefit of its libraries.

Last Words

In the post above, we have discussed the 10 most common benefits and features of Python. However, the list does not end here. Yes, you read that right. This programming language has a wide array of features and functionality that aids the development of complex applications.

Moreover, tech giants such as Google and Facebook have already been using this Python in their various updates and projects. As a result, it may open new horizon of opportunities for Python developers in the coming years across different platforms and sectors. Therefore, if you are planning to learn this language, then it is the right time to take the plunge in this direction.