Python Used (Benefits of Python)

In technical terms, Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It is built in high-level data structures, combined with dynamic typing and dynamic binding. That quality makes it very attractive for Rapid Application Development. Moreover, it is also used as a scripting or glue language to connect existing components together.

It is relatively simple, easy to learn unique syntax emphasizes readability. Python code is much easier than other languages to read and translate by developers. Python allows teams to work cooperatively without significant language and experience barriers that help to reduces the cost of the program maintenance.

Features of Python language

1. Easy to Learn and Use: It is easy to learn and developer friendly.
2. Expressive Language: Expressive language means that Python language is more understandable and readable.
3. Interpreted Language: Python language is an interpreted language. Its interpreter executes the code line by line at a time.
4. Cross-platform Language: It can run equally on different platforms like Windows, Unix, Linux, and Macintosh etc.
5. Free and Open Source: Python is freely available at the official web address and its source code is also available.
6. Object-Oriented Language: Python language is an object-oriented language.
7. Large Standard Library: It has a large and broad library and provides a rich set of module and functions for rapid application development.

Python used

Python is a very popular language in the world of programming. Its features are outstanding for programming. It is used to develop a different application like web applications, software development application, game applications, network programming etc. Python is also used in Artificial Intelligence.

Application

Python makes an interactive interface and easy development of applications. Applications like web applications, software development application, Graphics User Interface based application (GUI),  network programming, scientific and numeric applications, Games and 3D applications all are can be developed by Python.

Simplify Complex Software Development

Python applications are used to simplifying the complex software development process because it is a general-purpose programming language. Python is used for developing a complex application like scientific and numeric application and for both desktop and web applications. It has great features like analyzing data and visualization that helps in creating custom solutions without putting extra effort and time.

Compatible with Major Platforms and Systems

Python language is mainly compatible with major platforms and systems. That’s why it is used mainly for developing applications. Its code can be run on specific platforms and tools as it supports many operating systems with the help of Python interpreters.

Since Python is an interpreted high-level programming language that’s why it allows you to run the code on multiple platforms. In Python programming, the new and modified code can be executed without recompiling and its impact can be monitored or checked. That means it is not required to recompile the code after every change. This feature of Python helps in saving the development time of the developers.

Multiple Programming paradigms

Python providing continuous support to several programming paradigms, therefore, it is very useful. Python has a feature that supports various concepts of functional programming language which is used for dynamic type system and automatic memory management.

It’s features and programming paradigms allow you for developing the small as well as large applications. Python can be also used to develop complex software applications.

Code Readability

Python programming code is easy to read and maintained and easily reusable as well wherever it is required. Python’s having simple syntax that allows the different concepts to develop without writing any additional code.

Good quality code, easy to maintain the source code and simplify the maintenance is required to develop the software application. Code readability is the great feature of Python that helps in building custom applications and clean code helps in maintaining and updating the software applications without putting extra effort on the same code.

Many Open Source Frameworks and Tools

Python is open source and easily available that helps in costing the software development significantly. There are many open source applications of python frameworks, development tools and libraries for developing the application without putting extra cost. Python framework (Django, Flask, Pyramid etc.) simplify and make the process faster for web application development. Python GUI frameworks are used for developing GUI based application.

Python used in Artificial Intelligence (AI)

It is fast, powerful, scalable and platform agnostic. This advantage makes Python a perfect fit for Artificial Intelligence. You can replicate every idea with a few lines of code by using Python, which is not possible with another language.

It provides ‘Keras’ and ‘Tensor’ type libraries that bring out machine learning functionalities. Python provides the libraries ‘Scikit learn’, that is very utilized in AI algorithms. Python is a free open-source language and with good community support. All these reasons make learning Python an easy choice compare to other languages for AI applications.

 Python used in Big Data

Python is broadly used for analyzing a huge chunk of data and extracting useful insights to drive businesses. It has also an exhaustive set of Data Processing libraries which is a great boon apart from its simplicity. You can write a MapReduce code in Python and process the data in the HDFS cluster which is of great help in libraries like ‘Pydoop’.

Libraries such as ‘Pyspark’ and ‘Dask’ make Data Analysis and management even easier. Its fast and highly scalable feature help it in generating insights in real-time environments and making it one of the preferred languages for Big Data.

Python used in Data Science

Learning Python programming is of great importance to Data Science professionals. After the introduction of numerical engines of Python like ‘Pandas’ and ‘NumPy’, academic scholars and researchers have switched to Python from MATLAB. Moreover, Python also deals with the matrix, tabular as well as statistical data and it even visualizes it with popular libraries such as ‘Seaborn‘ and ‘Matplotlib’.

Python used in Testing Frameworks

Testing is another industry where is seeing increased use of Python language. Python programming is great for validating ideas or products for established companies. It has many built-in testing frameworks that handle debugging and offers fast workflows and execution.

Testing tools like ‘Pytest’, ‘Unittest’ and ‘Nose test’ makes testing easier and tension-free. Python supports cross-browser and cross-platform testing with different frameworks such as ‘PyTest’ and ‘Robot’. However, testing can be a challenging task for the organization but with the help of Python, it becomes a lot simpler.

Python used in Web Development

The simple fact that Python language lets you build a lot more with fewer lines of code makes it stand out. This helps in building prototypes expertly and during debugging these codes. However, Python provides the Django framework which is a boon for all developer because this is useful in creating dynamic and highly secure apps.

By learning the Python code, you can also perform web scraping, and allowing you to fetch details from other websites. There are many apps like BitBucket, Instagram, Pinterest that are built on these frameworks. Uses and applications of Python lie far beyond the mentioned fields – from Networking to general software development, from game development to Data Visualization.

Of course, Python is one of the most recommended languages to learn and master if you are looking to make a career in leading technologies.

You can also read Top Programming Languages by click here

Python Pros and Cons

Python pros are very impressive that makes it more useful and unique compare to other programming languages. Its code is too easy to read that’s why you can do a lot of complex functionalities with ease with the help of the standard library. Because of its simplicity, it’s too easy to learn for even novice developer. However, like other programming languages, it has also some Cons. For instance, Python code is slow and not very good for mobile development.

Python Pros

• It is too easy to learn for even a novice developer.
• Python code is easy to read and you can do a lot of complex functionalities with ease with the help of the standard library.
• It has a plethora of frameworks that make web programming very flexible.
• It provides quick development by using less code.
• Even a small team can handle it effectively.
• It allows scaling even the most complex applications with ease.
• It supports multiple systems and platforms.
• Object-oriented programming-driven.

Python Cons

• It is slow and not a very good language for mobile development.
• For memory intensive tasks, the use of Python is not a good choice.
• By using Python, it is nearly impossible to build a high-graphic 3D game.
• Has limitations with database access.
• Python is not good for multi-processor/multi-core work.

Conclusion:

Python is a high-level programming language. It is built in high-level data structures, combined with dynamic typing and dynamic binding. However, its all features are amazing but the main feature is that it is very easy to learn that attract many developers. Moreover, Python used in many fields but some are very important that are describe above. Of course, it has many advantages but like other programming languages, it’s also some disadvantages that are above explained.