Some programming languages that are widely used by software and web developers across the world are C, C++, Java, Python, C#, Ruby, PHP, and so on. Particularly, in recent times, Python programming language has been gaining more popularity among the developers community because of its extraordinary features. If you are a developer who would like to use Python for your project, then first get to know about Python language advantages and its applications. Knowing the advantages of a programming language in prior will help you make a firm decision about whether to choose that language for your project or not. In case, you are curious to learn about the advantages of Python language and its applications, read this blog.
Here, we have presented an overview of Python. Also, we have discussed the various benefits of Python and its major applications.
What is Python?
Python is a high-level and general-purpose programming language that was developed in 1991 by Guido Van Rossum. Also, it is an interpreted and dynamic coding language that focuses on code readability. When compared to other programming languages like C and Java, Python generally has several small programs. Moreover, Python is an easy-to-use and flexible language that has a very active community as well. Since Python supports a variety of programming paradigms, it is extensively used for businesses by many organizations. Furthermore, it is notable for its automatic memory management feature.
Till now, we have seen a brief description of Python. In the upcoming sections, let us have a look at Python language advantages and its applications.
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Advantages of Python
Find here, the advantages of Python programming language.
Simple to Learn and Use
Python is a high-level language with an English-like syntax. Hence, it is simple for beginners to learn, understand, and use Python. Also, due to its simplicity, when compared to other coding languages, Python fundamentals can be implemented rapidly.
Free and Open Source Programming Language
Python is released under an Open-Source Initiative (OSI)-approved open-source license. Therefore, users can work on it and share it conveniently. Even users have the privilege to edit the downloaded source code and release their own Python version. Businesses that want to create their own version by modifying a certain behavior can gain benefits from this feature of Python language.
Quick Development
Python is a versatile programming language that will allow users to implement new things. Therefore, by using Python, a wide range of new applications can be developed quickly. Especially, when compared to other programming languages, Python gives more flexibility and freedom to its users.
Interpreted Language
Python is an interpreted language and hence the code will be implemented line by line. Since Python is an interpreted language, it is easy to use. Moreover, when an error occurs, it will stop the process and immediately report the issue. Even if the program contains multiple errors, Python will display only one error. Therefore, it is easy to debug the Python source code.
Contains Numerous Libraries and Frameworks
Python provides several libraries for users to use. Therefore, while working with Python, the users need not rely on external libraries. Python’s standard library is massive, and it contains practically every function possible. Furthermore, its robust ecosystem of third-party modules expands its functionalities for a variety of jobs.
Highly Efficient
The excellent design and architecture of Python improve process control, and it has great text processing capabilities. This makes Python effective for a wide range of applications.
Portable
Several programming languages such as C and C++ will demand their users to modify their code to run on various platforms. On the other hand, Python is not like such programming languages. It simply has to be written once and can be executed wherever. However, Python users should avoid engaging with system-dependent functionalities.
Contains User-friendly Data Structures
Python makes data manipulation and management operations easier by providing several simple data structures. Some common data structures in Python programming language are lists, tuples, sets, queues, and so on.
Dynamically Typed
Generally, Python will have no idea what type of parameters we are talking about until we execute the program. However, during execution, it will automatically allocate the data type. Moreover, the programmer need not declare variables and their data types.
Excellent Community Support
Python is a programming language that was developed many years ago. Specifically, it has a vast community that can help programmers of all levels of expertise, from beginners to experts. When compared to other coding languages, Python’s community plays a vital role in its rapid growth. Especially, to assist developers in learning the language more quickly and efficiently, the Python programming language provides several supporting guides, instructional videos, and easily understandable documentation.
Disadvantages of Python
Python programming language also has some disadvantages as listed below
- Python is an interpreted language. Hence, the performance will be slow when compared to compiled languages like Java and C.
- The Global Interpreter Lock (GIL) in Python prevents multiple threads from executing the source code at once. Therefore, the parallelism and concurrency of certain applications can be limited.
- While working with large sets and running complex algorithms, Python consumes more memory.
- Since Python is a dynamically typed language, its variable types can be modified at the run time. This in turn might make it difficult to catch errors.
- The extensive packages and libraries in Python can sometimes cause package conflicts and version issues.
- The flexibility of Python is great for prototyping and rapid development. However, the flexibility may sometimes make it difficult for users to read and maintain the source code.
- Python is a simple language to learn. But, for beginners who are new to the programming world, the learning curve will be steep.
Also Read: What is OOP (Object Oriented Programming)? Meaning, Concept, and Benefits
Applications of Python
Even though Python has some drawbacks, it has been used for developing a wide range of applications. Some major applications of Python are listed below.
Desktop GUI
Python is an interactive programming language that allows developers to create rich graphical user interfaces easily and quickly. Especially, for developing efficient, fully operational, and highly-secured GUI, Python contains several built-in tools such as wxWidgets, PyQT, kivy, and plenty of other packages and libraries.
Audio and Visual Applications
Undoubtedly, the impressive features of Python are useful for developing excellent audio and visual applications. In specific, to build audio and visual applications, Python contains many functions, frameworks, and libraries like Dejavu, SciPy, Mignus, OpenCV, and Pyo. Some real-time examples of Python-based audio and video applications are Netflix, YouTube, and Hubspot.
Web Development
With Python, web design and development can be done efficiently. This is because Python supports innumerable web development paradigms such as Django, Flask, and Piramyd. In specific, some real-time websites and services like Spotify, Reddit, and Mozilla use Python frameworks.
CAD Applications
Python is helpful for Architects, construction managers, and product designers in creating 3D and 2D digital models. Especially, to design products rapidly, Python has pre-installed excellent applications like Blender, Open Cascade, FreeCAD, and so on. Even Python has some special features for technical drawing, import, and development of dynamic systems.
Scientific Computing
In the finance field, Python is widely used for qualitative and quantitative data analysis. Also, with Python, tools for workflow automation and asset price trend and pattern prediction can be created.
Artificial Intelligence and Machine Learning
Python is an excellent programming language for a variety of machine learning (ML) and artificial intelligence (AI) applications as it is reliable, flexible, simple, and efficient. Moreover, Python is also one of the most popular programming languages among data scientists and analysts because it has a wide range of machine learning and artificial intelligence libraries and packages.
Data Visualization
Data visualization is another prominent and increasing topic of interest. Also, it takes advantage of several features of Python. In addition to its flexibility and open-source nature, Python provides a diverse set of graphic libraries with a wide range of functionality.
Data Analytics
Python is also appropriate for data science and analytics. The Python language is easy to learn, versatile, and well-supported. Therefore, it is quick and easy to use for data analysis. Especially, when working with large volumes of data, Python helps to manipulate data and do repeated activities effortlessly.
Web Scraping Application
Web scraping is a fully automated approach to extract data from web pages more efficiently and quickly. The data is further used for a variety of reasons by researchers, organizations, and analysts. Some prominent features of Python that make it perfect for web scraping are listed below.
- A simple syntax that increases readability and saves time.
- Easy to use and understand
- Libraries and tools like matplotlib, pandas, and Selenium make web scraping efficient.
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Other Useful Applications of Python Language
Listed below are a few more significant and useful applications of Python programming language.
- Operating Systems Development
- Database Management
- Programming Language Development
- General-Purpose Software Development
- Internet of Things (IoT)
- Game Development
- Prototyping Software and Applications
- Robotics
- Network Programming
- Natural Language Processing (NLP)
List of Companies that Use Python
Find here, the list of top companies that use Python programming language for handling various real-time tasks such as video transcoding, music streaming, scientific computing, data analysis, web crawling, automation, and more.
- Google (Components of Google spider and Search Engine)
- Yahoo(Maps)
- YouTube
- Mozilla
- Dropbox
- Microsoft
- Cisco
- Spotify
- Quora
Conclusion
Hopefully, by now, you will have gained knowledge of Python language advantages and its applications. If the features of Python match well with your requirements, then you can very well use Python for your project. In case, you have any queries related to Python or if you want from an expert, contact us immediately.
