Advantages and Disadvantages of Python

The modern IT market provides various programming languages like C++, Java, Python, and more. As a result, it’s necessary to choose the technology to study. Python has become quite widespread these days. According to the latest research, Python ranked as number one of the top programming languages of 2019.

 

Advantages of Python

 

1. Simple to Read, Learn and Write

Python is a significant-level programming language that has an English-like sentence structure. This makes it simpler to peruse and comprehend the code.

Python is extremely simple to get and realize, that is the reason many individuals prescribe Python to fledglings.

You need fewer lines of code to play out a similar errand when contrasted with other significant dialects like C/C++ and Java.

 

2. Improved Productivity

Python is a beneficial language. Because of the effortlessness of Python, designers can concentrate on tackling the issue.

They don't have to invest an excessive amount of energy in understanding the grammar or conduct of the programming language. You compose less code and complete more things.

 

3. Interpreted Language

Python is an interpreted language that implies that Python legitimately executes the code line by line. If there should be an occurrence of any blunder, it stops further execution and reports back the mistake which has happened.

 

4. Free and Open-Source

Python comes under the OSI approved open-source license. This makes it allowed to utilize and appropriate. You can download the source code, change it, and even disseminate your rendition of Python. This is helpful for associations that need to alter some particular conduct and utilize their rendition for improvement.

 

5. Dynamically Typed

Python doesn't have the foggiest idea about the kind of factor until we run the code. It consequently relegates the information type during execution. The developer doesn't have to stress over announcing factors and their information types.

 

Disadvantages of Python

 

1. Slow Speed

We talked about that Python is a deciphered language and progressively composed language. The line by line execution of code regularly prompts moderate execution. The dynamic idea of Python is likewise answerable for the moderate speed of Python since it needs to accomplish the additional work while executing code. In this way, Python isn't utilized for purposes where speed is a significant part of the undertaking.

 

2. Not Memory Efficient

To give effortlessness to the engineer, Python needs to do a little tradeoff. The Python programming language utilizes a lot of memory. This can be a drawback while building applications when we lean toward memory advancement.

 

3. Powerless in Mobile Computing

Python is commonly utilized in worker side programming. We don't get the chance to see Python on the customer side or versatile applications in light of the accompanying reasons. Python isn't memory proficient and it has moderate handling power when contrasted with different dialects.

 

4. Database Access

Programming in Python is simple and tranquil. However, when we are connecting with the database, it needs behind. The Python's database gets to layer is crude and immature in contrast with the well-known advancements like JDBC and ODBC. Immense undertakings need a smooth association of complex inheritance information and Python is subsequently once in a while utilized in endeavors.

 

5. Runtime Errors

As we probably are aware Python is a powerfully composed language so the information kind of a variable can change whenever. A variable containing the whole number may hold a string later on, which can prompt Runtime Errors. In this way, Python software engineers need to perform exhaustive testing of the applications.