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We start with a general introduction to Python. It is one of the most popular and practical programming languages in the world. There are several reasons why programmers prefer to use Python. This language has a simple design and high readability. Also, Python has a very wide set of libraries and various tools that help speed up programming.
Key features of Python
- Fast development and easy coding.
- A wide range of libraries,
- free and open source,
- object-oriented programming language
- A large community of developers.
- facilitating complex programming operations,
- Ideal for software prototyping or production-ready apps.
The following major companies use Python:
- providing interactive elements on web pages,
- object-oriented programming language
- The ability to control and change all web page components through the DOM.
- Applicable on the server and client side.
However, if you want to choose a winner between these two languages, you should consider the following key factors:
1. Speed and performance
But Python is an excellent tool for large-scale data processing, CPU-intensive projects, and large-scale data processing. If developers can optimize Python code using tools such as Cython or NumPy, the performance of applications will improve.
2. Popularity rate
In programming, scalability refers to the ability of an application or system to continue to function properly as the workload or number of users increases. This feature is different in different languages:
Python uses a global interpreter lock called GIL (Global Interpreter Lock) that does not allow multiple threads to run at the same time. This may reduce the scalability of Python programs, especially in programs that make extensive use of threads for concurrent processing. However, various libraries such as Dask and Joblib are used to distribute work and improve scalability.
4. Learning curve
On the other hand, Python is known as a programming language that is very suitable and understandable for beginners, and learning it happens faster. Because of its simple code structure, Python requires fewer lines of code to perform various tasks. Python code is readable and understandable, which makes it easy for even novice programmers to understand other people’s code. Defining functions and variables in Python is very simple. In addition, the development of Python projects happens at a higher speed.
5. The concept of inheritance
Inheritance is one of the fundamental principles in object-oriented programming, and it means that a class can inherit properties defined in another class (parent class). By doing this, you avoid writing duplicate codes.
In contrast, Python, as an object-oriented programming language, fully supports the concept of inheritance using the structure of classes.
6. Modules and libraries
In Python, modules and libraries are an important part of the language and allow developers to import ready-made code and useful functions into their projects. Python has an extensive collection of modules and libraries that are used for a variety of tasks such as data analysis, machine learning, etc. This allows developers to speed up programming.
7. Numerical data
8. Implicit Conversion
Implicit conversion in programming means the automatic conversion of one type of data to another type without the need for explicit notification from the programmer. Programming languages perform these conversions automatically according to the operational needs of the application.
In Python, the data type of the variables must be defined and implicit conversion is not possible.
9. Development of web and mobile applications
Python is also suitable for web development but may take more time to respond to requests. However, web development in Python can be improved by using web development frameworks such as Django, Pyramid, and Flask. Python also didn’t originally support developing native-looking mobile apps, but now it’s possible to develop graphical user interface (GUI) apps with Python.