Best Practices

Important Python Uses For Your Business

Python is perhaps one of the most versatile programming languages. Its usage is fully multi-sectoral, and it provides a host of benefits for companies and individual users. Moreso, python has gained global recognition for its attachment to software development processes. This is why, even as a non-technical person, there are high chances that you would have heard about Python even though you do not exactly understand what Python is or what it is used for.

However, python has been deployed across many use cases and it is in fact, a developer favourite across many sectors. For instance, according to GitHub, Python has experienced a constant usage increase in recent years. In 2022, Python’s usage soared by 22.5%. In this article, we will shed light on Python’s features and the type of projects the language is deployed to develop.

Python Programming

What is the Python Programming Language?

Python is an object-oriented general-purpose programming language used for application development, data analysis, and task automation. Python's general-purpose feature ensures that it can be deployed for numerous programs. The language was created over three decades ago by Dutch programmer, Guido van Rossum. Ever since its emergence into the mainstream tech ecosystem, Python has enjoyed widespread adoption. Also, like many other programming languages, Python is open-sourced. This means that it has a large developer community working tirelessly to improve its features and provide more functionalities.

Python’s popularity is largely due to its clear syntax and readability. Python’s code is generally easy to read and understand. This is because it is an interpreted language, unlike C++ which is a compiled language. For an interpreted language, the source code is not readily translated into a machine-readable format. Thus, a program called the interpreter is used to execute the code. More importantly, Python is a cross-platform programming language. Essentially, Python programs can be executed on multiple devices and operating systems. This ensures code reusability and cost reduction during the development process.

What Projects Your Business Needs Python For

Machine Learning

As stated earlier, Python has gained a strong reputation for its simplicity. Due to Python's simplicity, developers can create stable and reliable systems. Also, Python has numerous libraries and frameworks that developers can easily use to develop proper structures and create suitable programming environments. Pybrain, one of Python's machine learning libraries, has many easy-to-use algorithms which guide developers in executing machine learning tasks and functionalities. Other relevant libraries include Keras, TensorFlow, and Scikit-learn. In addition to these advantages, Python is platform-independent. Thus, cross-platform machine-learning solutions can easily be deployed.

Web Development

Python is a highly beneficial tool for developing the server side of web applications. Python's suitability for web applications is hinged on the fact that it is an advanced coding language that enables developers to execute highly complex tasks on the backend. While Python is usually used for backend web development, its functionalities can also be applied to frontend web development. However, the regular practice is to deploy Python primarily for the backend. Python also hosts several web development frameworks that can be used to shorten development time. These frameworks include Django, Web2Py, and Pyramid. 

Data Analysis and Visualization

Data analysts regularly use Python to analyze data and develop visual structures for data insights. The reason it stands as a preference for data analysts is its simplicity. Python uses a syntax that data analysts can easily adapt to. Python's readability also ensures that code can easily be understood by other analysts and stakeholders. Additionally, since Python is a popularly adopted language, it offers a vast range of libraries data analysts can use to promptly execute several tasks. It also has numerous built-in analytics tools that can help analysts identify patterns in data. Apart from this, Python is a great tool for data visualization. It has data visualization packages like Matplotlib and Seaborn, which can be used to chart appealing charts and plots from datasets.

Task Automation

Today, many companies are actively avoiding wasting otherwise productive hours on redundant tasks. This has led to a widespread automation wave across many industries. Python has powered a significant part of this automation drive. The language's simple syntax and extensive libraries make it a top choice for running simple automation. With Python, you can easily perform automated tasks like scraping relevant data from web pages. BeautifulSoup library is one of the many Python libraries that can be used to power this function. It effectively extracts data from XML and HTML files.

Game Development

Python is gradually becoming more popular as a programming language for developing functional games. Python’s readability has contributed immensely to this preference. Given that Python uses a clear and simple syntax, developers can create games with minimal complexities. Also, Python provides versatile object orientation. This is particularly beneficial because game developers often have to create and update objects on the application. However, Python ensures that such developers can simply build new objects and alter older objects (without having to write numerous code sets to effect changes). 

Software Testing

Python offers options for automated software testing. Software testing is a crucial step in the software development process where the developer conducts trials. These trials are conducted to ensure that the software’s functionalities align with the expected outcome. Python automates this testing process by providing built-in software testing frameworks like Robot and Pytest. 


Ultimately, Python is suitable for many projects. It provides a wide range of cross-platform capabilities, libraries, and frameworks. Developers generally prefer Python due to its easy deployment and powerful features. Essentially, Python is a great option to achieve high-end quality while keeping costs low.

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