Comprehensibility in python

Being a very easy, user-friendly language for all programmers right out there python has a tremendous amount of libraries. It is a high-level, general-purpose programming language. Python code is generally easy to read and understand, even for beginners.

Here is an example of a simple Python program that prints "Hello, world!" to the console:

Compared to other languages we don't have to write long and complex codes for a tiny solution.

Uses:

It's a very popular language in day to day world as it's used in various roles like web development, data analysis, machine learning, and most probably AI which is hyped in and for the future. It is also used in game development, prototyping, and automation. It is a language of having multiple operations.

Cons of this :

It is an indentation-specific language which makes its code more specific while writing to avoid any type of error. Despite this, it has many other cons:

• Speed: It is a dynamically typed language, which means that the data types of variables are not checked at compile time. This makes Python code more flexible and easier to write, but it can also make it slower than compiled languages like C and Java.

• Memory usage: It uses a garbage collector to manage memory, but the garbage collector can sometimes be inefficient. This can lead to high memory usage, especially for large and complex applications.

• Database access: Python's database access layer is not as well-developed as the database access layers for other programming languages like Java and C#. This can make it more difficult to develop database-driven applications in Python.

• Security: Python is generally considered to be a secure programming language, but it is still important to be aware of potential security vulnerabilities. For example, Python code can be vulnerable to injection attacks if it is not properly sanitized.

• Not well-suited for mobile computing: Python is not as well-suited for mobile computing as some other programming languages like Java and Kotlin. This is because Python code is typically interpreted, which can be slower and less efficient than compiled code.

  Conclusion:

  Overall this is a great language for beginners as well as tech-leading enthusiasts as it is easy to read, write, and execute which deals with various operations on a single type of code.