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.