What is Python?
Python is the most robust programming language of the twenty-first century. Also, it is becoming popular with each passing year. It is a high-level interactive programming language with dynamic semantics. It is simple to understand and use. Python includes several scripting language characteristics as well.
As a result, it is commonly used in the development of online applications. Nobody beats Python as a dynamic language. As it supports a wide range of paradigms. It includes procedural programming, object-oriented programming, functional programming, and imperative programming.
Python has built-in packages and modules. It uses to conduct many types of programming. You can create both simple and complicated programming in Python with ease.
Uses of Python
● Web development
● Web Applications
● Server Applications
● Web servers
● Smartwatch Applications
Array, Lists, and Tuples
Python: For implementing arrays, Python offers a workaround feature.
Attributes and Properties
Python: The descriptor protocol is a feature of the Python programming language. The use of the getter and setter functions allows for the definition of an attribute.
Python: Indentations are used to define code blocks in Python.
Format Of Encoding
Python: Python source code is ASCII by default unless an encoding option is provided.
Python: When a method is defined with invalid parameters, Python throws an exception. It also allows a few other parameters to pass syntaxes.
Python: Hash tables, sometimes known as dictionaries, sets, etc, are inbuilt into the Python programming language.
Modules And Libraries
Python: Python is recognized as a programming language with built-in batteries. It includes several modules. It also includes many libraries for data analytics, machine learning, and scientific computing.
Python: Python is not an excellent language for creating mobile apps.
Python: Numeric data types such as int, fixed-point decimal, and float are available in the Python programming language.
Python: Python programming is an excellent choice for data analytics, machine learning, and other math-intensive jobs.