According to statistics, 44.1% of programmers choose Python for building any sort of application and different projects. The popularity of the coding language is explained by the wide range of features on offer, including:
● Dynamic typing;
● Clear and clean syntax;
● Powerful libraries;
● Built-In data structures;
● Large community;
● High scalability;
● Versatility;
● Frameworks, and so on.
Yet, what is Python used for? In this article, you will find the answer. We briefly touched on some of the use cases where Python excels in app development.
Top 7 Use Cases of Python in Business
Python is an open-source and high-level coding language. Python developers choose it because it’s free, simple, and fast to learn. Thanks to the integral features, the rapid development of app prototypes and easy debugging are possible. Thus, a lot of companies, like DOIT Software, choose Python for their projects.
Such famous companies as Facebook, Instagram, Google, YouTube, iRobot, NASA with the Jet Propulsion Lab, Netflix, Reddit, IBM, Intel, Quora, Chase, Goldman Sachs, and many others already leverage Python’s benefits and advantages. Below, we have listed some applications of Python to strengthen your business.
1. Data Science and Scientific Computing
Today, Python has a wide variety of built-in advanced tools and scientific packages that are suitable for all facets of data science and scientific computing. This coding language is perfect for the field because of its simple syntax, APIs, a wide variety of libraries (Pandas, NumPy, SciPy, etc.), and several other outstanding features for statistical/scientific/mathematical issues. Data scientists use Python for extracting and processing data more efficiently. Therefore, engineers can not only extract valuable information but visualize the data through graphs, for example.
2. Business Analytics
Python is widely used by statisticians, scientists, and engineers to perform data analytics. Python allows developers to access, store, and manipulate big volumes of data. This programming language also provides a range of libraries that are useful for data analytics, including NumPy, Pandas, Matplotlib, SciPy, Scikit-Learn, and others. That makes it the best choice for coding business analytics applications.
A few more reasons to shift to Python are:
● Versatility. Web, desktop, and mobile apps can be developed using Python. This coding language can also be used for coding scientific and complex numeric applications.
● Simplicity. Its simple syntax makes the coding language easy to learn and contributes to writing clean code.
● Large community and great support. Being open-source, the language has a large community of qualified programmers who contribute to the resources. Thus, it is easy to find a solution to any problem that arises.
● Outstanding off-the-shelf analytical tools. There are many brilliant ML (machine learning), DL (deep learning), and other analytical tools already developed that can be used just as they are.
● Ability to automate and replicate. The coding language helps to automate and replicate processes in the least amount of time. Thus, it helps in collecting online data, web scraping, handling text errors when merging different datasets, repeating complex tasks, and many more.
3. Web-based Application Development
Python is the perfect choice for rapid web application development because of the extensive libraries and modules provided by the numerous frameworks (Django, Pyramid, Flask, etc.). This makes database access, data authorization, content management, maintenance of user accounts, and many other features easily accessible. So, if you need to develop a web app or just build a new version of the website with specific and custom features, then Python is the best language to choose. Go here and learn more about how to choose python developers.
4. Video Game Development
The development of interactive games is another use case of Python. Thanks to libraries such as PySoy, which is a 3D game engine supporting Python 3, and PyGame, which provides the functionality for game development, Python can be used in the industry. Actually, Civilization-IV, Battlefield 2, World of Tanks, Disney’s Toontown Online, Frets on Fire, Vega Strike, and other games have been built using Python. The language allows developers to:
● Create a rapid game prototype;
● Test it in real time;
● Develop game designing tools (dialog trees, level designing, etc.).
5. Entertainment App Development
Netflix, Spotify, YouTube are some of the big companies in the industry that use Python for building their entertainment apps. Here are some vivid examples of Python usage in building entertainment applications:
● Recommendation engines;
● Preferences;
● Suggesting movies/songs based on previous choices.
Thanks to such libraries as PYDUB and OpenCV, the Python programming language becomes the optimal choice for creating entertainment applications. It can be used for artwork personalization, recommendation and marketing algorithms, providing such features as analysis, security, operation management, networking, etc.
6. Fintech Platforms Development
Due to its robustness, clear and clean code, and a wide range of libraries available, Python is a great choice when it comes to FinTech platform development. The language is used for:
● Digital wallets and payments. Since payment solutions require massive transaction management and high security, Python turns out to be the best choice. High scalability for managing digital wallets, secure APIs, and payment gateway integration are a few strong features offered by Python.
● Financial analytics. Python has a wide range of analytics tools that enable evaluating, processing, and assessing large datasets for deriving patterns, insights, and valuable information. Thus, for example, Pandas allows developers to visualize and carry out sophisticated statistical calculations, while Scikit or PyBrain are equipped with strong machine learning (ML) algorithms that enable predictive analytics.
● Banking software. With its scalability, simplicity, and flexibility, Python comes in handy for building scalable apps and ATM software that enhances payment processing.
● Cryptocurrency. Applications in this segment need analytics and predictions to make smart decisions. Anaconda, which is a Python-based data science ecosystem, helps engineers to get information on cryptocurrency prices, analyze it and/or create data visualizations to determine the best pricing scheme.
7. Blockchain Solutions Development
Blockchain technology is widely used by enterprises for:
● Secure transaction processing;
● Identity protection;
● Data backup, and so on.
This is where Python is helpful as well. Since Python code is readable and the language is very easy to understand, the process of developing Blockchain applications is greatly facilitated. Using this coding language and its frameworks, developers can:
● Utilize HTTP requests to interact with the blockchain;
● Develop endpoints for various blockchain functions;
● Build a decentralized network by running scripts on multiple machines.
Original Python libraries, like Pyethereum, are leveraged to develop smart, highly secure and encrypted contracts.
Bottom Line
Today, Python is increasingly used in web development, application development, and enterprise product development. However, the range of uses for the language keeps expanding. Obviously, Python has its limitations, but it is nearly versatile because of its seamless integration with other coding languages.
With a strong developer community, rich resources and libraries, and a range of diverse frameworks, Python is a great choice for moving business forward. Accelerated development process, fast creation of MVPs (minimum viable products), reliable and scalable software solutions, and driving digital transformation are just some of the business benefits of Python.
