Organizations that want to survive in today’s global marketplace need to make digital changes to their operations. Smart organizations are now investing heavily in software to optimize financial options, improve employee performance, and manage their resources.
Software development that meets the needs of large organizations is commonly known as enterprise development. In this article, we intend to talk about this and the use of Python as a technology to implement such a concept. Examples of organizational programs can be large databases, payment tools, ATMs, etc.
Python, meanwhile, can be an excellent technology for developing organizational tools. Large organizations use Python for a variety of reasons: simple syntax, flexibility, multiple resources, and, of course, the process of learning and becoming a professional. It does not matter if you are looking for a web application solution or a machine learning tool, Python can help you with everything.
Here are ten Python benefits for large projects:
1. Python is a proven technology
When choosing a technology for an enterprise project, it is a good idea to first look at its role in projects that have used it successfully. Python is one of the technologies that has proven this well, because Python has been used in various companies such as Google, Microsoft, Facebook, Quera, etc. to build different tools. Clearly, Python can well support large targets and be used in software development processes.
2. Python is free
Python is an open source programming language for which many free and open source tools and frameworks have been developed. Aside from the fact that Python itself is free, most of its popular and widely used tools and libraries also benefit from this. The Python user community is large and that makes it a very good development process.
3. Suitable ecosystem for packages
Python comes with great tools and application libraries that can be used to create applications with a graphical user interface, game development, artificial intelligence, and more. In this sense, Python can be considered one of the richest programming languages. Now Python, thanks to pypi, can handle these things well and therefore has a good ecosystem.
4. Large and enthusiastic user community
Python has one of the largest development communities in the world. Looking at the TIOBE index, you can see the popularity of Python. Python also has an enthusiastic community, so a lot of effort is put into creating and developing optimal code in Python.
5. Python is portable
Python is flexible and can be used in a variety of operating systems. You can also embed Python in embedded systems, so it offers a lot of flexibility.
6. Python is a great option for early prototyping
Thanks to a very fast development process, Python is a great option for creating software prototypes quickly and bringing ideas and designs to life. This saves less time for the team to implement and test an idea.
7. Fast learning process
Thanks to its simple syntax, Python can be considered the simplest programming language available for learning between different tools. Understanding Python is easy, and at any level you can understand a project written in Python. All of this means that creating a program by a team unfamiliar with Python will happen even faster.
8. Easy integration
This is one of the best features that Python can give you. Python integrates well with older enterprise languages such as Java and .NET. You can use Python versions for .NET and Java called IronPython and Jython, respectively.
9. Quick code review
Development speed is very important in building a thematic application. It is important to be able to deliver code quickly, but more importantly, to be able to quickly review written code and clear errors from your project as much as possible. With Python, you get exactly that, and you can easily review your project.
10. Python is comfortable
In the software development process, especially in organizations with a high degree of complexity, it is better to rely on solving the problem yourself instead of focusing on the language and the difficulties that some of them have. Using Python helps you to focus on the problems and issues of the main project instead of focusing on your own language problems. Eventually, you will have higher productivity and generate error-free code.