So, let’s check the following information!
Python is an object-oriented programming language. This is the kind of coding language that allows programmers to build apps and websites using objects that are nothing but virtual building blocks. An object-oriented paradigm is to design the program using classes and objects. The object is related to real-world entities such as a book, house, pencil, etc. The oops concept focuses on writing the reusable code. This model allows reducing complexity by giving programmers a clear structure and a more real-world dynamic.
- It doesn’t take much effort to write and maintain asynchronous code using Python, as there are no deadlocks, research contention, or other confusing issues. Each unit of that code runs separately, allowing you to handle various situations and problems more quickly.
- Python is great for prototyping. You can do more with less code, which means you can prototype and test ideas much faster in Python than in other languages. This means that using Python not only saves a lot of time but also reduces your business costs.
- According to Jean Francois Puget, a representative of IBM’s machine learning department,
“Python is the top language for ML and AI projects, and many developers agree. Python has efficient ML packages, tools for visualizing results, and goes way beyond data analysis and other features that benefit this area of application.”
Furthermore… in the Stack Overflow survey, Python leads the ranking on the most wanted programming languages.
Now… let’s go with the cons or disadvantages of each language!
- This point applies to larger front-end projects. The configuration is often a tedious task to the number of tools that require to figure together to make an environment for such a project. This is often directly associated with the library’s operation.
- Python is not the best for mobile development. It has some frameworks like Kivy and Beeware to do mobile application development. However, there are better choices available, like Java and Kotlin (for Android) and Swift (for iOS).
- Multiprocessing is an essential part of writing an application. Python does support multiprocessing, although it might not be as flexible or convenient as other languages. This can create certain limitations when you’re writing the code.
- You should take into consideration that Python’s memory consumption is very high. For that reason, it might not be the best choice for memory-intensive tasks. It might be problematic when a significant number of objects are active in RAM.
- Python is slow. Like, really slow. On average, you’ll need about 2–10 times longer to complete a task with Python than with any other language.
What do we think the future looks like?
We all know that Python is excellent if we do data analysis, machine learning, or math-intensive operations. Python is currently the leader in popularity for implementing ML. But how long will this trend continue?
Today, some languages could take the lead in this regard in the future and could fix weak Python patches, such as Rust, Go, and Julia.
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