Introduction to Python pseudocode
Python pseudocode is more like an algorithmic representation of the code involved. This means when a code is expected to be formulated it cannot be directly drafted. The code will need to be first generated into a Python pseudocode and then it needs to be formulated into an actual code. This process of formulating an English sentence-like algorithmic representation is what a Python pseudocode means to be. In simple terms, the Python pseudocode is a syntax-free representation of code. So, the Python pseudocode does not involve any code in it. The Python pseudocode must be a very close representation of the algorithmic logic. It must be as such that each line of the Python pseudocode can be proportionally translated to the actual code. Python pseudocode helps to easily translate the actual code to non-technical persons involved. These are the key advantages of using Python pseudocode in programming. So, the major description to keep in sense on simple terms is that Python pseudocode is a syntax-free representation of code. So, the Python pseudocode does not involve any actual code in it.
Key points of Python pseudocode
Whenever there is a need to connect with peoples from other domains then Python pseudocode will be the best element to bridge the communication. Basically, apart from the technical aspect which is expected to be coded, there will be a need to code in relation to some specific domain. Specifically, to mention there will be a need for the programmers to connect with mathematicians, financial experts, biotechnologists, health care specialists, or any other specific domain experts for business reasons. For example, if a biotechnology-based software is expected to be created then there will be the need to connect with the biotechnologists to build the software. At the times we need to ensure the communication between the developer and the other domain expert needs to be mutually understandable and smooth. This can be achieved by means of Python pseudocode-based algorithms. Which keeps the understanding of the business expert and the technical programmer to bridge on the same page.
One of the most hectic processes in software development with languages like python is the process of converting the HLD to business logic and code. The process of converting the business logic to code is the most hectic process in python-based application development environments. Because this section will create a lot of business issues that need to be consulted on both the business person and the programmer to solve upon. So, when an additional layer of python pseudocode is introduced between the business logic layer and actual code, Then the process will very much simplify the difficulties in coding. So, writing pseudocode helps to comfortably convert algorithmic representations to actual code.
The process of having pseudocode in the python application building process will help to easily build documentation for the application. This another very critical aspect of having pseudocodes in place. So, every application irrespective of the domain and the complexity involved, and the technology it is developed with it is a key necessity to have documentation associated with it. This documentation at the application level will give a good understanding of what kind of application it is related to and how the business logic behind the application is framed upon can be realized only by means of strong pseudocode involved in it. This is among the key capability for any application, So Presence of documentation is a very key part and these documentations can be kick-started and progressed smoothly only based on the pseudocode which is been involved. The presence of pseudocode in the application makes the process of application documentation a comparatively easy process to perform upon. This is among the key advantages of building pseudocode in python level applications.
Another key portion of developing python level pseudocode is their capability to fix issues, concerns, and bugs raised within the application. So, this means for python application bugs, and debugging of these bugs are a very common aspect. There could be bugs so easily generated and created. But on top of this getting these bugs fixed is a very critical aspect. When the code involved is very dense and too long then identifying the bugs generated in an application becomes very difficult. This difficulty can be sophisticatedly handled when the pseudocode of these applications is used. Referring to the pseudocode eases the process of bug detection and fixing so this is another important reason to have pseudocodes generated and written in python based applications.
Five major Protocols in Python pseudocode
- The pseudocode in python must be line by line so every statement involved must be represented as just one single line in pseudocode.
- Just as in python code how indentations are used, these indentations must be preferred in python pseudocode too.
- Ensure that each statement of the pseudocode is simple and easy to understand.
- Ensure the first word of the pseudocode is always in Upper case letters.
- Ensure to use periods and delimiters wherever needed.
Python pseudocode Examples
Python Pseudocode:
Retrieve the number to be reversed from the user into variable sample_number.
Initialize the temporary variable test_number as zero.
Perform a while loop until the sample_number variable is greater than zero.
Modulus the sample_number variable by 10 and store the remainder.
Multiply the temporary number of test_number by 10 and add the returned value to the remainder.
Print the generated test_number onto the console.
Python Program:
sample_number = int(input("Number to be reversed: "))
test_number = 0
while(sample_number>0):
remainder_number = sample_number % 10
test_number = (test_number * 10) + remainder_number
sample_number = sample_number//10
print("Value after reverse : {}".format(test_number))
Output:
Conclusion
The presence of pseudocode helps the application-level coding an easier aspect to develop upon. We can notice from the above given example how flexible the coding aspect becomes based on the pseudocode which is drafted over the code. It should be a standard aspect to use pseudocodes for all application-level programming that are performed.
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This is a guide to Python pseudocode. Here we discuss the Introduction, Key points of Python pseudocode, Five major Protocols in Python pseudocode. You may also have a look at the following articles to learn more –
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