Top 10 Uses & Applications of Python Programming Language (With Examples)
If you know what is Python programming and what are its benefits, then the next thing you must know is the main uses of Python programming language. What are the applications of Python? Where can it be used?
In this write-up (part of our comprehensive Python Tutorial for Beginners), we have mentioned the top 10 uses and applications of Python with examples. It will help you get a better idea of its benefits as well.
In recent years, technology has evolved in nearly every aspect of our lives. Living in a digital age has made it clear that software plays a significant role in driving modern facilities and services. Industries ranging from travel, education, software, research, banking, and the military rely heavily on software to operate efficiently.
We know for a fact that every software has been written in some programming language. There are countless programming languages available on the internet that are being developed even right now as you are reading this article. One such language that had a significant impact on the globe is Python.
Quick Overview of Python Programming Language
Python is a powerful, versatile, and open-source programming language that is widely used in various industries and domains. It provides a large number of libraries, modules, and frameworks, along with simple and easy-to-learn syntax.
Python’s ease of use and user-friendly nature contributes to its popularity among developers of all skill levels and its wide adoption in the developer community. Know in detail about what is Python programming by clicking on the linked write-up.
The goal of this article is to educate you on the various real-world applications of Python programming.
Did you know?
Python was developed in the late 1980s and was first released in 1991. Despite being available for over 32 years in the market, its popularity has skyrocketed in recent years!
Why Python is a Popular Programming Language?
The growing adoption of Python across various industries is supported by the following factors mentioned below:
Python is a general-purpose programming language that can be used for a wide variety of tasks, ranging from web development to data analysis to artificial intelligence (AI). The amount of versatility Python offers makes it the most used programming language.
2. Ease of Use
Python’s syntax is designed to be simple and easy to understand, making it accessible for all levels of developers. It offers clear and readable code. This is the reason why developers' first language is Python nowadays.
3. Large Community
Python programming language has a large and active community. It has thousands of libraries and frameworks available. Resource finding becomes easy for developers due to high support from the community.
4. High Demand
Python has witnessed a high demand in the job market, across a range of industries, such as finance, healthcare, retail, and technology. These options make Python an easy language to learn and provide new learning opportunities to developers. That’s the reason more aspirants are looking for the best Python course online to upskill and build their careers.
5. Open Source
Python is an open-source programming language, anyone can use, modify and distribute it for free. Many developers around the globe have shown great enthusiasm in contributing to the language, making Python the most efficient and powerful.
6. Powerful and Efficient Libraries
Python has a large number of libraries such as pandas, numpy, TensorFlow, etc. These libraries perform huge tasks making developers' lives a little easy.
Applications of Python Programming Language (Top Uses in 2023)
Now that we know what makes Python such a popular language, let’s look at the top 10 uses of Python language with examples:
1. Web Development
The use of Python in web development is becoming prevalent in recent times. But why is that? It is because of the wide array of frameworks and Content Management System (CMS) that exists to simplify a developer’s life.
Some of the well-known Python web development frameworks include Django, Pyramid, Flask, and more, while well-known content management systems include Plone CMS, Wagtail, etc.
These frameworks offer security, scalability, and convenience for the development of the website from scratch. More so, the Python framework comes with standard libraries that allow for protocol integration such as HTML, SSL, FTP, etc. It also helps in processing JSON, XML, and even E-mail. It is one of the main uses of Python programming.
Furthermore, the development time is significantly reduced, allowing more time to market the application. The use of Python in web development has witnessed exponential growth.
Using Python for web development offers:
Efficient Development Process
Easy to code
2. Data Analysis and Visualization
Python has been the most popular and preferred language when it comes to data analysis and visualization.
Data is the new age currency if you know how to extract relevant information that can help you take calculated risks and increase profits. Python offers in-built libraries such as NumPy, Pandas, TensorFlow, etc. to help extract valuable information from the data. Libraries like Matplotib and Seaborn further allow us to visualize data through graphs and charts.
The functionalities that Python offers are a great help to data science professionals. Python handles everything from data collection, data sorting, and data analysis to data visualization. All the top data science courses in India include Python as an integral part of the curriculum because it is very vital for learners.
If you are still wondering what is the use of Python, then you must know that if you want to get into Data Science, it won’t be an exaggeration to say that Python is the first thing that you need to know. Thinking to get into this stream, now is the right time!
3. Machine Learning and Artificial Intelligence (AI)
Artificial Intelligence and Machine Learning are, without a doubt, the most widely discussed and popular topics in the current decade. Python along with some other programming languages has seen a steep rise in their use for developing AI and ML-powered applications.
Python is a stable and secure language, making it a perfect fit for handling the intensive and complex computations that keep AI and Machine Learning systems running. Hence, these are other top applications of Python programming.
Some of the popular libraries to do the job are as follows:
SciPy: SciPy is used for scientific and technical computing.
Keras: It is used for Artificial Neural Networks.
Pandas: Panda is used for the manipulation and analysis of data.
TensorFlow: It is used for Machine Learning tasks.
NumPy: It is used for complex mathematical functions and computation.
Scikit: It is used for working with various Machine Learning Models.
4. Game Development
The gaming industry has to be mentioned when it comes to the impactful contribution and uses of Python programming language. It is used in the gaming industry for a variety of purposes, such as game development, game scripting, and game engine development.
Let’s look at the top Python frameworks that are used in game Development:
PySoy is a 3D game engine that supports Python 3.
It is a versatile framework that can be used on any computer. It excels in handling intricate game logic. Its ease of handling text, images, and sounds makes it an ideal choice for digital storytelling and life simulation games.
It is a powerful rendering engine that offers speed and flexibility, making it a preferred option for game development’s impressive feature set.
It is used in building applications, games and some cross-platform GUI-based interactive programs.
It is used for real-time python applications in 3D games, simulations, visualizations, etc.
It is used to build fully featured games and multimedia programs.
It is compatible with multiple GUI libraries such as PyGame, PyQT, etc.
It supports UI event handling, loading images, windows, joysticks, and playing sounds and music.
It is known as the fast framework for game development. It is used for direct image reading, MPEG video, MP3, WAV, etc.
These libraries have made the game development process completely effortless. Some of your favorite games based on the Python programming language are Battlefield2, Pirates of the Caribbean, Civilization IV, etc.
5. Software Development
One of the core applications of Python is to simplify the software development process for complex apps. Popular apps such as Google, Netflix, and Reddit all use Python. It offers amazing features such as:
Inbuilt libraries and frameworks
Enhanced code readability
Apart from being a primary programming language in projects, software developers also use Python as a supporting language for project management, testing, and building control. It is among the top 10 uses of Python programming language.
6. Web Scraping Applications
The internet holds a vast amount of information that is ready to be utilized. Before getting into web scraping, let’s understand what exactly it is.
Web scraping is a powerful tool for automatically extracting data from single or multiple websites using software or scripts and collecting it in one place. After the scraping is done, this data can be used by researchers, analysts, organizations, individuals, sentiment analysis of social media, and various ranges of tasks.
The whole process can be done using libraries and frameworks such as BeautifulSoup, Scrapy, Selenium, etc. So, web scraping is another top application of Python.
7. Embedded Applications
One of the most intriguing features of Python is its ability to run on embedded hardware. For people who are new to this, let’s get a clear picture for you.
Embedded hardware, in simple language, is a tiny computer that is created to perform limited tasks. Embedded applications will drive this hardware. Popular Examples of embedded applications are MicroPython, PyMite, and EmbeddedPython.
Currently, there is a comprehensive list of embedded devices that can be found in almost every aspect of our lives. Products such as Digital Cameras, Smartphones, RaspberryPis, and Industrial Robots can be controlled by Python.
8. CAD Applications
CAD stands for Computer-Aided Design. It is a process of creating 2D and 3D models digitally. These are mostly used for product design by various industries such as aerospace, automotive, and many more.
Python is embedded with amazing applications like Blender, FreeCAD, and a lot more to efficiently design products. All these tools provide enhanced features such as technical drawing, recordings, file export, and import.
9. Audio and Video Applications
Python’s efficiency is also evident in its application in the field of Audio and Video. When it comes to managing audio and video files, Python provides a wide range of tools and libraries to aid in the process, making it fully equi[[ed with the task.
Tasks such as signal processing, audio recognition, and many more can be easily performed by libraries such as Pyo, pyAudioAnalysis, Dejavu, etc.
When it comes to video, Python offers various libraries such as OpenCV, Scikit-video, and SciPy, that can help you manipulate video for use in other applications.
All your favorite audio and video applications like Netflix, Spotify, and YouTube are written in Python! It has a fair share in the audio and video industry as well.
10. Enterprise Apps
Enterprise applications are different from our normal applications. First, they offer a specific set of features instead of numerous features. Second, their target group is a specific, close-knit group, typically an organization, unlike consumer applications that are created and designed for the general audience.
When it comes to enterprise-grade apps and software, they rely heavily on information security. These do need high security and Python’s security features make sure to provide that.
These cover domains such as e-commerce, ERP, and many more. These domains require applications that are highly scalable, extensible, and easily readable and all Python can do all of it with ease. You can call it one of the top uses of Python programming.
Additional Uses of Python Language
Apart from the above-mentioned applications and uses of Python, there are more industries that have greatly benefited from this programming language. The industries are mentioned below:
Robotics field has seen immense growth when Python’s application is taken into account. The libraries backed up by Python have significantly improved this industry. Python provides libraries such as PyBullet and PyRobot which are highly efficient. This language can also be used to control low-level hardware and microcontrollers.
Python libraries such as Selenium, and Pytest, can be used to automate the testing of web applications and software. Automation is done by using scripts.
3. Image Processing
Due to the increasing use of Machine Learning and Neural Networks, the role of image processing tools has seen a steep rise in its popularity. To support this popularity, Python offers a list of libraries that simplify much of the initial work of a data scientist. Some of the famous preprocessing Python libraries are OpenCV, Scikit-Image, and Python Imaging Library (PIL).
4. Text Processing
Text processing allows the manipulation of large chunks of text and also gives the flexibility of structuring it. With Python, you can sort lines, extract text, tokenization, stemming, sentiment analysis, part-of-speech tagging, reformat paragraphs, and many more.
Some of the famous text processing frameworks are NLTK (Natural Language Toolkit), spaCY, gensim, TextBlob, PyTorch, Pattern, etc.
5. Scientific and Numeric Applications
Python’s collection of numeric and scientific tools and libraries has helped scientists and researchers solve countless number-crunching problems and uncover new findings. Python can be used excessively in research areas as well.
6. Operating Systems
Operating Systems are the brain and heart of computers. Python is one of the many programming languages that has contributed to the parts of Linux-based Operating systems.
Red Hat Enterprise’s Anaconda Installer and Ubuntu’s Ubiquity Installer are the two most famous instances of Python’s application in the real world.
7. Desktop GUI
It goes without saying that Python’s easy-to-understand syntax and modular programming approach are the main aspects of creating a super fast and responsive GUI. There are various tools available for GUI development using Python, like PyQT, Tkinter, and Kivy to name a few.
FAQs Related to Python Programming Uses
1. What is the use of Python?
Some of the most common use cases for Python include:
Web Development: Python can be used to build server-side web applications.
Scientific and Numeric Computing: Python is a popular language for scientific computing, data analysis, and visualization. It is used in various fields such as finance, physics, biology, and engineering.
Machine Learning: Python has a number of libraries and frameworks, such as TensorFlow, PyTorch, and scikit-learn, that can be used for machine learning and artificial intelligence.
Automation: Python can be used to automate repetitive tasks, such as data processing and web scraping.
GUI Development: Python can be used to develop graphical user interfaces (GUIs) for desktop applications.
Network Programming: Python can be used to develop network-based applications, such as servers and clients.
Game Development: Python can be used to build games using libraries such as Pygame.
These are just a few examples of the many ways that Python can be used. Its popularity and ease of use make it a great choice for a wide range of projects.
2. Who uses Python programming?
Python is used by a wide range of individuals and organizations, including:
Software Developers: Python is a popular choice for software developers who want to build fast and efficient applications.
Data Scientists and Analysts: Python is a popular language for data analysis and visualization, and it is widely used in the field of data science.
Machine Learning Engineers: Python is a popular language for building machine learning models and is used by many AI researchers and practitioners.
Web Developers: Python is used by web developers to build server-side web applications and perform web scraping.
Scientists and Researchers: Python is widely used in scientific computing and is a popular choice for researchers in fields such as physics, biology, and engineering.
Educators: It is a great language for teaching programming, and it is used in many introductory Python courses.
These are just a few examples of the many types of people and organizations that use Python. Its versatility, ease of use, and a large community of users make it a popular choice for a wide range of projects
3. Why use Python?
There are many reasons why people choose to use Python programming language, including:
Ease of use: Python has a clean and simple syntax, making it easy to learn and use.
Versatility: Python can be used for a wide range of applications, including web development, scientific computing, data analysis, machine learning, and game development.
Large community: Python has a large and active community of users, who have created a wealth of libraries and tools that can be used to extend the functionality of the language.
Plenty of libraries: Python has a rich collection of libraries and modules that provide tools for many different tasks, from data processing and analysis to machine learning and artificial intelligence.
Interoperability: Python can be used in conjunction with other programming languages, such as C, C++, and Java, making it easy to integrate with existing systems.
Cross-platform compatibility: Python can run on a variety of platforms, including Windows, MacOS, and Linux, making it a great choice for cross-platform development.
Open-source: Python is an open-source language, which means that it is free to use and distribute, and its source code is freely available for anyone to inspect and modify.
4. Is Python good for web development?
Yes, Python is a popular choice for web development. It has a number of powerful web frameworks, such as Django and Flask, that make it easy to build and deploy web applications.
5. What makes Python a good choice for scientific and numeric computing?
Python has a number of libraries, such as NumPy, SciPy, and Matplotlib, that make it a popular choice for scientific and numeric computing. These libraries provide tools for data analysis, visualization, and numerical processing, making it easy to perform complex computations.
6. Can Python be used for machine learning?
Yes, Python is a popular language for machine learning and artificial intelligence. It has a number of libraries, such as TensorFlow, PyTorch, and scikit-learn, that can be used to build machine learning models and perform complex computations.
7. Is Python good for automation?
Yes, Python is a great choice for automation tasks, such as data processing and web scraping. Its simplicity and versatility make it a popular choice for automating repetitive tasks.
8. Can Python be used for GUI development?
Yes, Python can be used to develop graphical user interfaces (GUIs) for desktop applications. There are a number of libraries, such as PyQt and wxPython, that make it easy to build and deploy GUI applications.
9. Can Python be used for network programming?
Yes, Python can be used to develop network-based applications, such as servers and clients. It has a number of libraries, such as sockets and Twisted, that make it easy to build network-based applications.
10. Can Python be used for game development?
Yes, Python can be used for game development. It has a number of libraries, such as Pygame, that make it easy to build games and other multimedia applications.
11. What makes Python a good choice for cross-platform development?
Python can run on a variety of platforms, including Windows, MacOS, and Linux, making it a great choice for cross-platform development. Additionally, its simplicity and versatility make it a popular choice for developers who need to build applications that run on multiple platforms.
Python is used as a “glue” language to connect different systems and technologies together. It is used in a variety of domains and has always proved to be rewarding. Thanks to its vast ecosystem of diverse libraries, it can be deployed virtually in any domain. In this article, we tried our best to showcase the top 10 applications of Python in the real world along with examples.
If you are a beginner, keep reading our Python Tutorial and keep learning. There are many reasons why you might want to learn Python and we hope you found your reason to get started!
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