6 Advantages and Disadvantages of Python Programming Language | Drawbacks & Benefits of Python Programming Language

 

Python is an advanced programming language used for the purpose of rapid app development. With Python you can build most robust applications. Many people prefer Python due to its straightforward approach and unique features. 

Unlike in Java and C/C++ you are not required to write extensive lines of code in Python. Since the invention of Python many programmers and testers have contributed to its popularity. Today it has defined as the fastest growing programming languages. It has grown such an extent that most programmers and developers depend solely on Python for developing applications. Other uses of Python include Machine learning, Data Analysis, Artificial Intelligence and Visualization.  

While it has lots of benefits, it comes with potential downsides too. Just like other programming languages it cannot be used on all the occasions. In order to take the full benefit of Python, you must understand its pros and cons.

In this article, I will be analyzing about 6 Advantages and Disadvantages of Python Programming Language | Drawbacks & Benefits of Python Programming Language. From this post, you will know the pros and cons of using Python.

Let's get started,

Advantages of Python Programming Language

1. Open Source

Python uses an open source license. Meaning that, it is free to modify and distribute. Some of the applications require you to reuse the code number of times. So by using Python, organizations can make substantial changes and present their own version of Python.

2. Learning Curve

Python is composed of English like syntax which makes it straightforward to use. Even beginners can simply understand this language. Besides outranking Java and C++ in terms of simplicity, it also needs few lines of code to execute the same task. For an example, Java requires you to create a separate class for a statement where in Python just a print command will do the job.

 

3. Productivity

In Python, the developers are not required to spend much time in studying syntax. Rather that time can be used to solve critical problems in coding. This allows greater efficiency as well as productivity. And also the simplicity of Python further makes the task problem solving simple.

4. Library Compatibility

Python is backed by many corporates and got major support from enthusiastic organizations. For Python developers, external libraries are not required. This is because, Python comes with standard library which contains code for various functions. Most major functions like operating systems, services, data science and web tools are included in their functions. Even in the case of relying on third party libraries, you can try utilize the Python Package Manager (pip).

5. Cross Platform Support

Unlike in other programming languages where you need to write separate code for each platform, this is not in the case with Python. Python follows a cross platform approach. Meaning that, you need to write code only once and it will run on multiple platforms. However, some of the features are solely restricted to specific platforms. Make sure to avoid them.

6. Community Support

Python has been in the programming field quite a long time. Therefore, it is composed of a community full of developers. This includes both beginners and experts. Regardless, they are aimed to work and uplift this framework.

Disadvantages of Python Programming Language

1. Speed

Python works though means of interpreter instead of a compiler. Since the lines are executed one by one, the speed of execution is relatively slower. When the codes are dynamically typed, there is definitely an extra effort in the process. This is another reason for Python's slower performance. As a result, Python should not be the choice for projects that requires you to finish on time.

2. Memory Usage

Python uses large amount of memory. Their inbuilt design demands more memory. Therefore, you must refrain using Python in many memory intensive tasks. Because Python works under memory restrictions.

3. Mobile App Development

As mentioned earlier, Python is weak in memory management as well as processing power. Client side or mobile application development is high resource intensive task. Hence, it is not recommended to be used in mobile app development.

4. Code Testing

All the coding written in Python is in interpreter language. So it it not an easy task to run tests . The only means of identifying errors and bugs is through run time.

5. Database Access

Python is far behind when it comes to database access. Other database connectivity systems like ODBC and JDBC provide greater levels of database access. The database layer used in Python is in the basic level. Thus, it cannot be used to access complex data. This is the reason why enterprises do not prefer Python for the interaction of their company data.

6. Runtime Errors

As Python is dynamically typed language variable data type has the tendency to get altered. For an example, the integer value in Python can suddenly change to a string value. The result of this is the runtime errors. Unless there are several rounds of testing, the programmer cannot identify these errors.