Why do we need to write clean code?

Lifeguards Why do we need to write clean code? by Admin July 9, 2020

Contents

Why do we need to write clean code?

The main purpose of writing clean code is to make the code simple but efficient, readable, testable and adaptable to new needs. Writing clean code will help the next developer to understand the code or understand the code in case of any future problems.

How to make a Python comment line?

Explanation in multiple lines in Python programming language “” (three double quotes) and “”” (three double quotes) signs are used to add the line. The lines to be commented are written between three double quotes.

What should be considered while writing the code?

►When naming a class, function or a variable, first of all, care should be taken not to use Turkish characters. ►Names should be neither too long nor too short, and most importantly, they should fit the description of the job to be used. ►Single-letter (i,j,k,l) ​​variable names should not be used except for loop variables.

What are the methods used for effective code writing style?

Methods used for effective code software style:

Description Lines Script Layout. Meaningful Naming. Structured Programming Frameworks How to write quality code?

How to Write Clean and Quality Code? or Basic Principles of Clean and Quality Code

Simple. Quality code is first and foremost simple, the simplest possible. Focused. Every piece of code written should have one and only one purpose. Full. No more, no less, just write code for need, nothing else. Trustworthy.

What does it mean to write clean code?

Clean Code can be defined as the ability to read and understand the code easily by other software developers and make improvements on it. Of course, every software developer wants to be remembered for their clean code. While examining the codes of other developers, he wants to see code that will make you say wow.

What is quality code?

We can make a definition for Continuous Code Quality as follows; Keeping the code quality under control, bugs, security vulnerabilities, anti-patterns, unnecessary or repetitive code etc. that may be present in new codes added to the project. automatically observing and reporting such negativities.

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