Top 10 advantages of using Python Script

Top 10 advantages of using Python Script

Python is a high-level object-oriented programming language with dynamic semantics, developed in 1991 by Dutchman Guido van Russom. The Python scripting language is simple and its syntax is easy to learn.

It emphasizes readability and has a low maintenance cost. Python supports package- and module-based programming and encourages code reuse. The Extended Standard Library and Python interpreter are freely available in binary or source format.

Key Benefits of Using Python Scripts

Python is the first choice of programming language in most universities and companies. It creates unlimited possibilities for users to create apps from scratch. According to TechRepublic, the Python developer position was one of the most requested technical positions in 2019. There are several reasons to learn how to write Python scripts. Here are the best ones:

1. The code is easy to read and manage

A dynamic application must be based on a robust and powerful language that is easy to read, debug, update, and maintain. Python incorporates these properties along with frameworks and utilities.

Python’s structured code base allows developers to quickly update and maintain code. Instead of writing additional code, they can devote their valuable time to productive tasks.

Python syntax uses mostly English words, which makes the code readable and flexible to adapt to fluctuating client requirements. Even if the original developers are no longer part of the project, new developers can easily read and understand the original code to accommodate new requirements.

2. Support for many programming paradigms

Programmers can use Python scripts to write clean, logical code, regardless of project size or scope. Since it supports many programming concepts, complex applications can also be easily created with Python. Supports:

  1. Programming of procedures
  2. Object-oriented programming
  3. Functional programming

3. Compatible with most systems and architectures

Python supports all common architectures and operating systems. Python supports the following operating systems:

Windows, macOS, Linux, FreeBSD, Cygwin, Solaris, NetBSD, AIX, OpenBSD,

Python supports the following architectures:

Intel x86, PPC64, ARMv7, s390x

The Python script is executed line by line without first having to compile human-written code into machine instructions, as is the case with other programming languages.

Python has several  advantages over other programming languages:

It can run on multiple platforms such as Windows, macOS, Linux, etc. with just installing Python on the computer. It is not necessary to recompile the program.

Because it runs line by line, it’s easier to make changes to the Python code, run the changed code, and see the results immediately. However, other programming languages ​​must be recompiled and made available after the changes.

4. Huge standard library

Compared to other languages, Python has a comprehensive standard library. The library consists of several modules, tools, and functions that can be used without writing additional lines of code. Developers don’t have to worry about the basic details and can focus on program logic. The code provided by the Python library can be maintained and reused. It’s also well-optimized, rested, and reliable code that can be used for any application.

5. No license required

As an open-source language, there is no license fee required to use Python, making it the most popular choice for businesses. It offers many tools, libraries, and frameworks that allow, in particular, to reduce development time and costs.

Some of the Python web framework examples are Flask, Pyramid, Django, Bottle, and Cherrypy. These frameworks accelerate web application development.

6. Facilitates data visualization

Python scripts can be used to build applications for various fields such as web, desktop, and science applications. It has functions that allow data visualization through the graphical representation of data and data analysis. Python APIs and libraries allow engineers to use them for business intelligence and data science needs. Individual solutions in the areas of artificial intelligence and natural language processing can also be implemented using Python.

7. Monitor test-driven development

Python supports test-driven development methodology. It allows developers to test design and code at all stages of development. Tests will validate how the code works; decide on the future design, and other steps. Any errors found during testing can be corrected, modified, and retested.

8. Data Science and AI

Data science and AI (artificial intelligence) are the future of digital transformation and Python support these technologies. Data scientists use Python to conduct AI and data science research. Users can run the application directly on any platform without compiling it into machine language, which makes Python code easy to interpret by a virtual machine or emulator. The Python Keras and TensorFlow libraries support machine learning functions. The OpenCV library helps in image recognition and computer vision.

9. Web development

Python has a variety of frameworks to support website application development. Some of the popular Django, Pylons, and Flask frameworks allow for stable and fast coding because their scripts are written in the Python language. Python also helps users get information from other websites.

10. Flexibility

Python’s many uses allow for integration into programming languages. For example:

  • Iron Python is compatible with C# and .Net
  • CPython comes with a compatible C version.
  • RubyPython can be combined with Ruby
  • Jython is Python embedded in Java
  • PyObjc is Python written with Objective C toolboxes

If you’re curious to learn more about Python, the science of data, check out ProITacademy’s Python Classes in Pune, aimed at beginners and professionals, with 1 live project, hands-on workshops, mentoring with industry experts, and Placement assistance.

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