Advantages and Disadvantages of Python Programming Language

1. Advantages and Disadvantages of Python Programming Language

When we want to choose a language for a project, we want to be thorough with what we can do with it. We want to be aware of how it can help us be efficient at what we want to do, but we also want to be careful of the problems that can arise. So, we believe it is worthwhile to take out some time and find out more. In this advantages and disadvantages of the Python programming language tutorial, we will learn the advantages and disadvantages of a python programming language that will help you in knowing the benefits of learning Python programming.

Advantages and Disadvantages of Python Programming Language

Advantages and Disadvantages of Python Programming Language

2. Advantages of Python Programming Language

Let’s see why Python is cool.

a. Extensive Libraries

Like we mentioned in our article on Python features, it downloads with an extensive library. These contain code for various purposes like regular expressions, documentation-generation, unit-testing, web browsers, threading, databases, CGI, email, image manipulation, and more. So, we don’t have to write the complete code for that manually.

b. Extensible

As we have seen earlier, Python can be extended to other languages. You can write some of your code in languages like C++ or C. This comes in handy, especially in projects.

c. Embeddable

Complimentary to extensibility, Python is embeddable as well. You can put your Python code in your source code of a different language, like C++. This lets us add scripting capabilities to our code in the other language.

d. Improved Productivity

The language’s simplicity and extensive libraries render programmers more productive than languages like Java and C++ do. Also, the fact that you need to write less lets more get done.

e. IOT Opportunities

Since Python forms the basis of new platforms like Raspberry Pi, it finds the future bright for Internet Of Things. This is a way to connect the language with the real world.

f. Simple and Easy

When working with Java, you may have to create a class to print ‘Hello World’. But in Python, just a print statement will do. It is also quite easy to learn, understand, and code. This is why when people pick up Python, they have a hard time adjusting to other more verbose languages like Java.

g. Readable

Because it is not such a verbose language, reading Python is much like reading English. This is also why it is so easy to learn, understand, and code. It also does not need curly braces to define blocks, and indentation is mandatory. This further aids the readability of the code.

h. Object-Oriented

This language supports both the procedural and object-oriented programming paradigms. While functions help us with code reusability, classes and objects let us model the real world. A class allows the encapsulation of data and functions into one.

i. Free and Open-Source

Like we said earlier, Python is freely available. But not only can you download python for free, but you can also download its source code, make changes to it, and even distribute it. It downloads with an extensive collection of libraries to help you with your tasks.

j. Portable

When you code your project in a language like C++, you may need to make some changes to it if you want to run it on another platform. But it isn’t the same with Python. Here, you need to code only once, and you can run it anywhere. This is called Write Once Run Anywhere (WORA). However, you need to be careful enough not to include any system-dependent features.

k. Interpreted

Lastly, we will say that it is an interpreted language. Since statements are executed one by one, debugging is easier than in compiled languages.

Python Pros and Cons

Python Pros and Cons

Python Interview Questions

3. Disadvantages of Python Programming Language

So far, we’ve seen why Python is a great choice for your project. But if you must choose it, you should be aware of its consequences as well. Let’s now see the downsides of choosing Python over another language.

a. Speed Limitations

We have seen that Python code is executed line by line. But since Python is interpreted, it often results in slow execution. This, however, isn’t a problem unless speed is a focal point for the project. In other words, unless high speed is a requirement, the benefits offered by Python are enough to distract us from its speed limitations.

b. Weak in Mobile Computing and Browsers

While it serves as an excellent server-side language, Python is much rarely seen on the client-side. Besides that, it is rarely ever used to implement smartphone-based applications. One such application is called Carbonnelle.
The reason it is not so famous despite the existence of Brython is that it isn’t that secure.

c. Design Restrictions

As you know, Python is dynamically-typed. This means that you don’t need to declare the type of variable while writing the code. It uses duck-typing. But wait, what’s that? Well, it just means that if it looks like a duck, it must be a duck. While this is easy on the programmers during coding, it can raise run-time errors.
In Any query regarding the advantages and disadvantages of Python programming language, tutorial feel free to drop a comment.

d. Underdeveloped Database Access Layers

Compared to more widely used technologies like JDBC (Java DataBase Connectivity) and ODBC (Open DataBase Connectivity), Python’s database access layers are a bit underdeveloped. Consequently, it is less often applied in huge enterprises.

e. Simple

No, we’re not kidding. Python’s simplicity can indeed be a problem. Take my example. I don’t do Java, I’m more of a Python person. To me, its syntax is so simple that the verbosity of Java code seems unnecessary.
This was all about the Advantages and Disadvantages of Python Programming Language.

4. Conclusion – Advantages and Disadvantages of Python Programming Languages

Concluding the tutorial on advantages and disadvantages of Python Programming Language I would say while there are some speed, security, and runtime issues, Python is a great language to pick up. Its popularity speaks for itself. And this popularity is attributed to its being free, easy, interpreted, object-oriented, extensible, embeddable, portable, and readable. Now that you know the advantages and disadvantages of python programming language, tell us in the comments if you would choose it for your next project. We would love to hear from you.

Hope you like the Advantages and Disadvantages of Python Programming Language Tutorial

Refer top 10 Books of Python to learn more features of python.

12 Responses

  1. kotrappa sirbi says:

    YES i am going to use Python for Machine Learning project, Thanks for so much for sharing all details about python advantages.

  2. Lokesh Sharma says:

    There are some more advantages…..
    High level

    • Data Flair says:

      Thanks, For Sharing your Knowledge on “Advantages and Disadvantages of Python” Article. We Appreciate your involvement with us.
      We have already included some of the Advantages of Python you mentioned in your Comment.

  3. Akshay Ugale says:

    How duck-typing leads to design restriction in python ?

    • Data Flair says:

      Hi, Akshay
      Thanks For Commenting on “Advantages and Disadvantages of Python”.
      Since Python Programming is dynamically-typed, we determine that we don’t need to declare a variable’s type.
      “If it looks like a duck, swims like a duck, and quacks like a duck, then it is probably a duck!”
      This makes it easy for you as a programmer since you do not need to worry about type information.
      However, this makes for two problems-
      1. Since the code lacks type information, this results in longer testing.
      2. An absence of type information means the code could be syntactically correct. But when you actually run your application, a type mismatch may raise an exception.
      Let’s take an example.
      >>> a,b=’hello’,7
      >>> a+b
      Traceback (most recent call last):
      File “”””, line 1, in
      TypeError: can only concatenate str (not “”int””) to str
      In languages like C++ and Java, adding the two variables will result in a compilation error since one is a string and another is an integer.
      In Python, however, this is syntactically correct. When we run this code though, it results in a TypeError.
      Now imagine if you deploy your application thinking it works fine and then it blasts away at the user’s end for something so silly.
      These are some design restrictions that duck-typing lends to Python.

  4. Adarsh S says:

    Can you explain why Database Access Layer is considered as underdeveloped?

    • DataFlair Team says:

      Hi Adarsh,
      Where an enterprise needs smooth interaction of complex legacy data, it cannot be used. Popular alternatives like JDBC and ODBC fare better.
      Thanks for referring “advantages and disadvantages of Python”. Keep learning and keep visiting DataFlair

  5. Rajkamal Mishra says:

    I have read somewhere that Python can be made extensible with SQL languages. Maybe that is one of the reasons why Python does not need to develop a well-defined database access layers of its own as we can use or implement other SQL languages with python. I might be wrong as I am just a beginner in Programming.

    • DataFlair Team says:

      Hi Rajkamal,
      It is true that Python provides robust extensibility with SQL. However, it is not true that Python does not need a database access layer. This is because Python’s database access layer is still in its rudimentary state. The python package “Data-Access-Layer” is still in development as its functionality is limited to only retrieving data from the database. The future developments also include writing queries and having a SQL-like interface with the database.

  6. Rajkamal Mishra says:

    Thank you for enlightening me.
    The materials provided here are really useful, interesting and informative.
    Thank you again for providing us a great study material in a simple lucid way.

  7. Sai Kiran Madala says:

    What are the security issues in python
    can you explain

Leave a Reply

Your email address will not be published. Required fields are marked *

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.