Advantages and Disadvantages of Python

If you want to study a programming language for whatever reason, you need to be aware of the language's many features, benefits and drawbacks, uses and applications, and other relevant elements.

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Advantages and Disadvantages of Python

When learning a new skill, particularly a programming language such as Python, it’s critical to understand both the benefits and drawbacks. Analyzing the advantages and disadvantages of the Python programming language will help you understand why you should utilize it. This blog examines some of the advantages and disadvantages of the Python programming language to help you decide if it is right for you.

Python is a high-level, interpreted, and general-purpose programming language with a focus on code readability. In a range of fields, professional programmers and developers utilize this in Web development and machine learning. However, like many other programming languages you’ve probably heard of or used for multiple reasons, Python has its own set of advantages and disadvantages. Learn at 3RI Technologies.

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Advantages and Disadvantages of Python

If you want to study a programming language for whatever reason, you need to be aware of the language’s many features, benefits and drawbacks, uses and applications, and other relevant elements.

Python has several benefits and drawbacks. Although, in Python, the benefits much outnumber the disadvantages, and you will ultimately master it. Most companies use Python because it provides a variety of programming paradigms.

Python’s most widely used applications

Let’s take a brief look at some Python applications before moving on to the main topic of this post.  Python is a high-level programming language that is used to create a variety of applications, including the following: 

  • In addition, developers may use Python libraries such as Django and Flask to accomplish server-side programming.
  • Developers may generate rapid prototypes to showcase to clients using Python.
  • Game development: Through libraries like PyGame, it is frequently used to develop games, including GUIs.

Python helps a lot with application development in data science since it has a large community and many libraries. It includes libraries for data processing, data visualization, data cleaning, and various other features.

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Python’s Benefits

You’ll begin by learning about some of the most significant advantages of the Python programming language in this blog post on Python’s ‘Advantages and Disadvantages .In the world of advanced programming languages, why Python has become so popular among the SOFTWARE developers ? Let’s move ahead and uncover all the best reasons:

It’s easy to learn and utilize.

The Python programming language has a syntax that is quite close to English, making it very easy to read and understand. It is a simple language to learn.

One reason Python is superior to other programming languages like C, C++, or Java is this. Python also uses fewer lines of code to complete the same operations and tasks as other programming languages that use bigger code blocks.

Productivity is enhanced

Another advantage of Python is that it is a very productive language, and Python programmers can easily concentrate on solving problems due to its simplicity.

Language Interpreted

Because Python is an interpreted language, it may run the code line by line. Furthermore, if an error occurs, it reports the problem instead of continuing with the execution.


Python is free to use and share due to its open-source license. You may download any source code in Python and then edit and share your version. This feature is quite handy for reusing code and saving time while designing innovative applications. You can also modify its behaviour and continue to develop using an older version of the code.

Python programming is completely free. What does this mean? Open source means Python is accessible to developers as well as for non-developers basically for all without paying a penny.  As the source code of this language is readily available, it has number of active community who contributes and build up a robust ecosystem of top-notch libraries.

Being free, the Python programming language ensures that anyone can download and use it without purchasing a license, and all these principles have made it a global superstar and created a deep impact on the IT universe.

Portable in nature

To run a particular program on different platforms, most languages, including the ones you’ve learned to read, write, and use like C, C++, and others, require code modifications. However, with Python programming, this is not the case. The ‘write once, run anywhere’ capability of Python allows you to create code once and execute it on any platform. However, you must avoid using any system-dependent functionality.

Huge libraries

Python’s standard library is extensive, and it contains all of the functions you’ll need for any given work. Python is no longer reliant on third-party libraries. If you do want to utilize some external libraries, you may import many from the enormous Python Package Index (PyPi), which has over 200,000 items, using the Python package manager (pip).

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Integration with Other Programming Languages Is Simple

Python has another unique feature which allows it to function in cross-platform development with libraries such as Jython and Cython and other programming languages such as Java, C and C++. Python is hence stronger in comparison. However, there is no such thing as a comprehensive programming language, and it is typically not preferable to utilize the same language for all applications and innovations. In addition, like any other language, the strength of Python is to provide you with a big library so that you may also take use of the powerful and strong features of other languages.

So far, you’ve learnt about the primary advantages of Python in this blog on Python’s benefits and downsides. Let us now look at some of its drawbacks to understand this object-oriented programming language better.

Memory Management

Python distinguishes itself from other programming languages by having a large library with memory management features. It has a private memory that holds all objects and data structures from Python and an integrated memory manager for maintaining a properly shaped private memory.

Asynchronous coding

Asynchronous coding employs one event loop for short periods to finish tasks. Python is a fantastic language for building asynchronous programs since it is simple to create and maintain. Moreover, it doesn’t necessitate any complicated research debates, deadlocks, or other difficulties.

Options for a Career

Python is the most likely programming language to get you a job. Because of its interaction with conventional or current systems can work with almost any IT system, new or old. In addition, Python may be used as a ‘glue language’ since it isn’t prohibitively expensive to learn and has broad commercial and corporate appeal.

Python is, in fact, the most popular programming language among companies looking to hire programmers now.

Python is also the future programming language, as AI and machine learning tools and frameworks support it effectively.

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Quick to learn.

Python is simpler to learn over the various programming languages that are currently available in the world of computer programming. Beginners often get confused and leave the learning in the middle of the journey, all because of complex syntax. But in the Python programming language, the syntax is pretty easy; say, a simple English language.

Ex: If a newbie wants to print the word HELLO WORLD.

Syntax: print (“HELLO WORLD”)

Ample Libraries and Frameworks

Libraries and frameworks are the heart and soul of any programming language. In the Python programming language, there are a huge number of libraries and modules such as NumPy, Matplotlib, Seaborn, SciPy, JSON, Pandas, TKinter (GUI), Django, etc. In terms of web development, there are Django, Flask, Tornado, and Beautiful Soup, and in terms of machine learning and data science, there are Scikit-learn, Tensor Flow, PyTorch, Keras, etc.

Versatility and Integrity

Python’s versatility shines through its wide applicability across multiple domains. Right from website development to data science to scientific computing to analysis, the Python programming language acts as an ideal option and fits in perfectly. The Python programming language has a rich library ecosystem, readability, and flexibility that make it a most-loved language.

The other important feature of Python is that it can also integrate with other programming languages, such as C, Java, etc. Python is highly supportive of cross-platform app development and creates powerful and robust web applications.

Dynamically Typed Programming Language

Python is a dynamically typed language. Now, what is Dynamically typed !! Despite Python, in other programming languages like C or alike, programmers are required to declare variables. For example, if a variable is an integer, programmers declare the variable using INT, FLOAT, etc.  Whereas in the Python programming language, programmers do not require declaring variables, as it’s of no use because variable types are determined during the runtime. This amazing feature provides flexibility, but it can also lead to potential errors during code execution.

No Compile Process

Before getting to know about the NO compile process in Python, first explore what the compile process is for better understanding. The coding process is nothing but the conversion of human-written code into machine-understandable code. In the C programming language, there are 4 steps involved; in Java, there are 5 phases (edit, compile, load, verify, and execute). Whereas in the Python programming language, there is no compilation process at all, the Python code is executed without any such compilation steps.

This special feature makes Python a globally recognized and most-loved programming language, as it streamlines the development process as well as fastens the testing process. Also, due to the NO Compile process, there’s a high requirement for regular monitoring to get the required results.

Python’s disadvantages

You’ve read about the many benefits of the Python programming language in great detail. However, Python has a few drawbacks that you should be aware of, even though its benefits outweigh its disadvantages. No doubt Python is the most powerful programming language, but unlike many other programming languages, Python too has demerits. Some of the cons that Python has are listed below:

Low speed

Strengths may, unfortunately, sometimes lead to flaws. Here’s an example. Although Python is a dynamically typed and interpreted language, this means that the code is executed line by line, which contributes to the language’s slowness. Python’s sluggish performance is mostly due to its dynamic nature, which necessitates some extra effort throughout the execution process. One reason Python isn’t utilized when performance is a critical factor in an application is this.

Inefficient memory use

Python must make certain compromises to provide some simplicity to programmers and developers. For example, this language consumes a lot of memory, which is a negative, especially if you’re working on an app that prioritizes memory efficiency.

Weaknesses in Mobile Device Programming

Python is typically used for server-side programming rather than mobile applications or client-side programming by developers. Python is sluggish to process and memory inefficient compared to other programming languages.

Database Layer with Difficult Interaction

Python makes coding a program much less stressful and easier, but it falls short when interfacing with databases. Compared to other more popular technologies like ODBC and JDBC, it features an immature and basic database layer. Companies usually want to have a seamless interface with complex data, which makes Python challenging to utilize.

Runtime Errors Are Prone to Occur

The dynamic feature of Python allows it to alter the data type of a variable at any moment. For example, a variable that formerly contained an integer value may now carry a string value. It might result in runtime problems. As a result, each application that is designed must go through numerous rounds of testing.

Testing is difficult.

It is not easy to conduct tests on Python code since it’s an interpreter-based language. In addition, all problems and faults appear while running, making it difficult to test Python code snippets.

Still Relatively Up-to-Date

Java and C are programming languages that have been around for a while, but Python is a newcomer to the market. It implies that, although being better than earlier programming languages, Python is not always picked for diverse applications. Python’s competent programmers are still an upcoming demographic, despite growing in popularity.

Concerns about the design

Python’s dynamically typed nature makes debugging simple, but problems frequently appear only during execution. It is because programmers are not required to define variables when coding. 

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Performance Limitations:

Python’s interpreted nature and dynamic typing lead to slower execution speed as compared to other programming languages such as C++ or Java and this seems to be one of the major demerits of applications that require high performance and speed.

Global Interpreter Lock (GIL):

Global Interpreter Lock, i.e., GIL, is one of the pain points that generally disappoints hardcore Python developers, as GIL does not effectively support the implementation of multi-threads all together and acts as a bottleneck in multi-core systems.

Mobile and GUI Development:

The Python programming language is not appreciated by the mobile application developer, as developing mobile applications using Python requires additional frameworks, resulting in less native and efficient solutions.Python is primarily used in client-side and server-side web development. It is not recommended for mobile app and game development because of its higher memory requirements and slower processing performance when compared to other programming languages.


Python is a popular language of programming used by many individuals. Despite all of Python’s benefits and drawbacks, it remains one of the most popular and reliable languages for developing desktop and online server-side applications. It’s ideal for machine learning and AI but not for mobile development or graphical user interfaces. We may conclude from an evaluation of Python’s performance that its benefits overcome its drawbacks. Python is one of the greatest coding languages when utilized correctly by a knowledgeable developer.

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