What Is Python Used For? Guide To 7 Top Real-World Uses

Python is a programming language that is constantly growing with a strong user base.

Its easy-to-use features make it a top priority among developers. Beyond its simplicity, it is liked by developers because of its wide range of usage in real-world applications. So, what is Python used for? It can be used in web development, data sciences, automation, machine learning, and software development.

The wide range of uses of Python makes it a popular language among developers and businesses. Here we’ll investigate the popularity of Python and what is Python used for in real-world applications.

Why is Python so Popular?

Python demand is increasing among both developers and businesses. These are the reasons that increase the popularity of Python.

• Open-source nature: Python is free to use for both developers and businesses. 
• Ease of use: Python syntax is simple and readable, which makes it easy to use for beginner-level developers.
• Vast community and robust ecosystem: It has a strong community that supports its wide range of ecosystems, including frameworks, tools, and libraries.
• Cross-platform language: Python applications can run on different operating systems including Windows, Linux, and macOS.
• Seamless integration: It can be easily integrated with other programming languages such as C++, and Java. And also, with APIs and databases.

These reasons are enough to make it clear to you what Python is used for. Among other programming languages.

What Are the Top 7 Real-World Uses of Python?

Python is being used in many applications. Let’s see in detail the most highlighted uses:

1. Web Development

Python is used to create the backend of websites. There are a variety of built-in tools provided by Python developers that help to develop high-quality and scalable web applications. Some of the frameworks are:

• Django is mostly used as a backend framework. It allows developers to manage web development tasks automatically with the help of its ready-to-use features such as ORM (Object-Relational Mapping), authentication, and admin interface.
• Pyramid is best when developers want to apply more customizations to the website. It provides scalability and flexibility with its features like templating, URL dispatching, and caching support.
• Flask is best suited where developers want more control. It offers flexibility to choose tools and features including routing, Jinja2, and request handling.

These frameworks of Python help developers understand how to make a website with Python. There are many well-known websites built on Python such as Instagram, YouTube, Spotify, and Prezi.

2. Data Science and Analytics

Python is playing a major role in data sciences. It is helping scientists and analysts to visualize and manage large amounts of data. Python has the following libraries and tools that are contributing to data science efficiently:

• Pandas is a library that helps to manage data structure effortlessly. It has introduced different features of data structure such as DataFrame, Series, data cleaning, and filtering.
• NumPy is best when data scientists want to manage numerical computing. It provides multidimensional arrays, mathematical operations, broadcasting, and Boolean indexing-like features to provide speed.
• Matplotlib is a great option for visualization. It offers a wide range of plotting options, customizations, and data exploration.

Python helps data scientists to manage datasets and produce data-driven results. It can be used in retail, healthcare centers, and human resources to analyze data.

3. Machine Learning (ML) and Artificial Intelligence (AI)

The most used programming language in the field of ML and AI is Python. Its libraries and frameworks such as Scikit-Learn, TensorFlow, PyTorch, and OpenCV are great for performing various tasks in AI and ML. With the help of these tools, AI and ML following tasks can be performed effortlessly:

• Natural Language Processing (NLP): includes spam detection, language translation, and speech processing.
• Computer Vision: comprises face detection, image grouping, and object tracking.
• Speech Recognition: provides voice assistant and search over voice option.
• Predictive Analysis: foretelling sales, stock exchange, and market trends. 

Many popular companies like Google and Apple use AI and ML features powered by Python. For instance, Apple features Siri, face ID, and health prediction and Google features smart replies, image recognition, and Google Assistant.

4. Automation and Scripting

Python is considered a good scripting language. Many businesses rely on experienced Python developers to write a program that automates repetitive tasks.  These tasks include report generation, data entry, and updating file content which save hours for programmers to work manually. Following are the libraries of Python to help in task automation:

• GUI automation uses tools like Pyautogui and Pywinauto to automate user interface tasks such as mouse and keyboard handling, taking screenshots, and Windows management.
• Full stack automation uses modules like Selenium and BeautifulSoup to automate both frontend and backend tasks.
• Test automation uses frameworks like Pytest and Robot to perform testing tasks such as managing test cases and reporting bugs.

In real life, automating emails and scheduling daily tasks are the highlighted examples of Python used for automation.

5. Software Development

Developers also take help from Python to build full-fledged software applications. It also provides tools for DevOps and testing to make these software applications more authentic and bug-free. The following categories of Python frameworks are useful in building software.

• GUI (Graphical User Interface) framework provides Tkinter, PySide, Kivy, and wxPython tools used to create desktop applications.
• Full-stack frameworks like Django and Pyramid are helpful for software that is web-based or need backend support.
• Testing and DevOps tools offer Pytest, Unittest, and Fabric to help in testing code during development.

As Python is easy to use and has readable syntax, developers can make software in less time. Dropbox is the best real-life example here.

6. Game Development and Media

Python developers implement different Python libraries to make 2D and 3D games within no time. It also provides flexibility and creative tools to the media and entertainment industry.

The following Python built-in tools can be applicable in game development and media:

• PyGame is the best option for beginners to build 2D games with great sound and graphic effects.
• MoviePy for preparing videos by adding options for editing and cutting.
• Pydub for adding effects in voice also provides cutting and converting features in audio files.

There are many well-known games such as Frets on Fire, EVE Online, and World of Tanks using Python. Moreover, movies like Avatar and Toy Story also use the animation features of Python.

7. Finance and Fintech

In the finance and fintech industry speed and accuracy are the most key factors required from any technology. Python is the go-to choice of fintech developers because of provides these features. It is capable of handling risk, algorithmic trading, credit risk models, and pricing. The key libraries of Python that are essential for finance and fintech are:

• PyAlgoTrade manages algorithmic trading and backtesting and helps in paper trading and live-trading.
• QuantLib handles quantitative finance to fix bond pricing and valuations.
• QuantEcon is for economic modeling which helps developers to build applications related to saving, investing, and planning.

Investment firms, trading bots, and many more financial institutes use Python to make dashboards and detect any kind of fraud.

Conclusion

Python has a lot of reasons that make it popular including its support of a vast ecosystem, open-source nature, ease of use, and seamless integration. It is used by many experienced Python developers to build a variety of real-world applications. Those applications could be in web development, software development, data sciences, automation, game development, or fintech.Python has ready-to-use tools, frameworks, and libraries to help developers with any kind of application. Moreover, it is proven to be an authentic language because it is already in use by many prominent companies like Google, Netflix, Spotify, and Apple. At Devace Technologies, developers use Python to build secure, high-quality, and smart solutions for all kinds of businesses.