Benefits of Python while Considering its Disadvantages
Python language was designed in 1991 by a Dutch person namely Guido van Rossum. The narrative behind the birth of its name is pretty hilarious. The originator was fond of a comedy series Monty Python which urged him to retain the name as Python.
What makes Python different?
Python is easy and fun to learn. It concentrates on the code simplicity and readability; it is as flexible as writing a program in plain English language.
Python can also be applied to learn procedure-oriented language strongly. It possesses a bundle of varied applications and implementations. Artificial Intelligence, Machine Learning, Data Science, etc can be obtained by amateurs smoothly through the support of Python. Python is designed to be a language that is accessible to read. A well-formatted Python code is clear and uncluttered.
When you are attaining training on a unique language like Python, you have to be aware of the advantages and drawbacks of that programming language. This will encourage you in developing acceptable data on how you can accept the full guide of the Python programming language. With meaningful Python developments and impediments, we can put up robust applications.
Python Programming Language-Advantages and Disadvantages: Step into the correct path
- Simple to Read, Learn and Write Python is a high-level programming language that has English-like syntax. This makes it manageable to read and comprehend the code. Python is easy to pick up and learn, that is why a lot of people recommend Python to novices. You need fewer lines of code to accomplish the same task as compared to other major languages like C/C++ and Java.
- Enhanced Productivity Python is a very efficient language. Due to the plainness of Python, developers can concentrate on unraveling the difficulty. They don’t need to spend too much time in comprehending the syntax or behavior of the programming language. You inscribe less code and get additional things done.
- Comprehended Language Python is an interpreted language which means that Python directly enforces the code line by line. In case of any error, it stops further enactment and reports back the error which has occurred.
- Dynamically Typed Python doesn’t know the category of variables until we run the code. It automatically allocates the data type during execution. The programmer doesn’t need to bother about disclosing variables and their data types.
- Slow Speed We discussed above that Python is an interpreted language and dynamically-typed language. The line by line execution of code often directs to slow enactment. The vibrant nature of Python is also accountable for the slow speed of Python because it has to do the additional work while executing code. So, Python is not utilized for purposes where speed is a significant element of the project.
- Not Memory Efficient To provide clarity to the developer, Python has to do a little tradeoff. The Python programming language utilizes a large amount of memory. This can be a drawback while constructing applications when we choose memory optimization.
- Vulnerable in Mobile Computing Python is normally utilized in server-side programming. We don’t get to see Python on the client-side or mobile applications because of the following reasons. Python is not memory efficient and it has sluggish processing power as compared to other languages. Runtime Errors As we know Python is a dynamically typed language so the data type of a variable can shift anytime. A variable containing an integer number may hold a string in the future, which can lead to Runtime Errors. Hence Python programmers require to perform thorough testing of the applications.
Python is a reasonable, versatile, and comprehensive programming language. It is a tremendous choice for novices up to specialists.
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