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Page 1: Best Coding Practices€¦ · makes the code easily maintainable. Also, consistent indentation properly marks the code and it makes it less challenging to expand on the code later

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Best Coding Practices

By (Name)

Course

Instructor

Institution

Date

Page 2: Best Coding Practices€¦ · makes the code easily maintainable. Also, consistent indentation properly marks the code and it makes it less challenging to expand on the code later

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Introduction

Coding practices concerning software development demonstrate a collection of informal

instructions to help developers come up with efficient software. Computers are designed to

operate using Machine Code as their communication mechanism is based on the coder's

specifications. Thus, coding demonstrates the act of making the computer respond to instructions

relating to the programmer's preferences with the help of a programming language. Computer

code plays a significant role in the context of computing considering the importance of code in

every electronic device. Code readability in the context of coding is a significant practice for

developers to achieve quality in the industry. Like any skills, coding can be learned and mastered

with the right practices and dedication on the same. The study will explore some of the best

coding practices for developing clean code despite the type of programming language a

programmer is utilizing for the practice.

Literature Review

The paper looks into various coding practices that every aspiring programmer ought to be

aware of in an attempt to improve his or her programming skills. The study discusses;

Commenting and Documentation, Consistent Indentation and DRY Principle, Simplicity and

Proper Name Convention, Constant Practice and Code Comprehension, Appropriate Editor and

Performance, Coding Speed.

Commenting and Documentation

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Writing code involves different structures since every developer has a different logic to

solving computer complexities. Thus, it is easy for a developer to fall into the mindset that their

written code is easy to comprehend, particularly if it functions effectively. However, someone

else might perceive the code with a complexity attitude when reading the code due to different

logic or name convention they are used to. Therefore, the use of code commenting is the most

effective way to handle such teething troubles, especially during code reading. Despite the

various commenting technique applied in a different programming language, it is significant to

keep comments brief, relevant, and limited as a good coding strategy (Cleopatra, 2018).

Including comments to code is vital in any programming language since it makes debugging,

updating, analysis, and other programming activities efficient and easier. It makes it easy and

convenient for other parties to comprehend the idea behind the code and how to work to expand

on the same. Therefore, commenting as a good coding practice enhances code readability as it

helps explains the function of a particular section in a code. The exclusion of this practice might

make it challenging for other group members to fully comprehend the functionality of difficult

parts of the code.

Fig 1 (Guzel, 2011)

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Documentation in software design demonstrates a general term that includes all written files

and materials that encompass a program's development and use manual. During the coding

phase, it a good practice to ensure there is documentation accompanying the code once the code

is ready for execution and use. The importance of including this activity as part of the coding

process is since it helps in elaborating on the functionality of the product, bring together project

information, and permit and address any reactions or questions that other developers and

stakeholders might call to mind. The prime objective of documentation during coding is to

guarantee that stakeholders and developers are moving in the same course to accomplish the

goals of the project (AletexSoft Inc, 2018). Documentation helps in the description of the

developed product and gives insight on how to handle several tasks with its support.

Documentation involves two aspects; user documentation such as installation, user guides,

reference manuals, troubleshooting, and tutorials for system administrators and end-users.

System documentation, on the other hand, provides information about the system and its various

parts. Having good documentation during coding is effective for both end-users of the product

and developers who might want to expand or fix the code.

Consistent Indentation and DRY Principle

Code indentation remains among the most vital parts of coding or programming, but it is

neglected on most occasions and developers might remain reluctant to adhere to it. Code

indentation or programming style demonstrates the structure programmers follow based on the

preferred programming language to document and organize the source code. The major goals of

using proper code indentation are to ensure program readability and understandability (Miara et

al, 2015, 1-3). The application of consistent indention during coding saves time, especially

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during the reuse of the code. Being consistent with indentation offers a style manual for code

implementation upon adhering to its rules. Following a consistent indentation style as a coding

practice thus helps in enhancing the readability of code, especially in group settings and also it

makes the code easily maintainable. Also, consistent indentation properly marks the code and it

makes it less challenging to expand on the code later on. The use of consistent indentation in

coding gives the developer the room to write a code that other developers can read and

comprehend (Pal, 2016). As a result, consistent indentation is a significant and effective

programming strategy since it presents a clear picture regarding the code's structure to other

involved parties. Overall, it is a good practice to use consistent indentation in coding for easy

code modification, enhancement, maintenance, understanding, and readability.

Code Example

Fig 2 (Guzel, 2011)

Fig 3 (Guzel, 2011)

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Fig 4 (Guzel, 2011)

In the context of coding, the “DRY principle” denotes "Don't Repeat Yourself." It is also

referred to as DIE meaning "Duplication is Evil." Based on the terms of this principle, every

level of knowledge must contain a single, authoritative, unambiguous representation inside the

system. The utilization of this principle if common on occasions that reflect tasks demanding the

automation process. It is thus part of a good coding practice to adhere to this principle since it is

not professional to constantly repeat the same code in several occasions (Lalimijoro, 2018).

Applying the principle to code design is vital as part of a professional code habit since it gives

programmers the freedom to eliminate duplication. A code-free from replication is cleaner as

opposed to cases where a programmer utilizes unnecessary duplication. Ignoring this principle

might result in poor code maintenance and ineffective refactoring. Including the principle as part

of your coding process makes the code easy to structure and maintain unlike copying and pasting

a code demonstrating similar functionality in the form of a loop (DevIQ, 2020). The use of this

concept reduces technical debt due to duplicity that lowers the efficiency of the code.

Code Example

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Fig 5 (Apiumhub, 2020)

Simplicity and Proper Name Convention

Simplicity is an essential concept in programming since it allows for easier code maintenance

and few bugs in the code. However, it is not easy to write a simplified code since simplifying a

complex logic is quite a challenge but its benefit is rewarding on the same. Having the ability to

translate a complex idea to a simple functioning code eliminated the difficulties related to its

understanding and readability (Wieben, 2019). The concept of simplicity is vital in the context of

programing as it gives the right insight and exposure to third parties that might want to

understand the context of the issue being cracked. Henceforth, bearing in mind the aspect of

simplicity during coding is significant to help third parties get the ideas of the code for improved

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productivity in coding during the phase of problem-solving. Getting into the habit of writing

simplified codes makes it easy to get the intention and the problem background of the code

(Wieben, 2019). It is thus significant as a programmer to use simplified code logic that is

readable while avoiding complications and unnecessary fanciness. Simplicity produces

professional-quality, handles coding problems fast, effective in group settings and includes a

flexible code format for the efficiency of the code. It makes it easier for the programmer to make

future vital changes in the code effectively.

The naming practice is an essential part of coding considering that bad variable naming may

present huge problems in later application or modification of the code. It is since code readability

is significant as it enables developers to understand what the code does faster with less

explanation. Therefore, among the best coding practices involves how functions, variables,

classes, and files are titled. It is vital during coding to use a shared naming convention that most

individuals approve consistently. It helps manages and well as developers to engage in effective

communication in regards to the functionality of the code. Naming conventions are many but

there is no universal convention for every coding scenario because name conventions are

different for each programming language (Devopedia, 2019). Engaging proper name conventions

during coding supports the improvement of code integration, clarity, communication, and

consistency. It results in discoverability and code predictability. The utilization of the correct

naming convention is not significant is the code belongs to a single programmer. It is significant

in the context of team developers when dealing with open source projects, shared code, and

when the code involves updates across geographies and organizations.

Constant Practice and Code Comprehension

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The best strategy of becoming good at coding is to constantly engage in the development

and coding process. It does not matter the type of programming language a developer is utilizing

since the difference in coding competency is influenced by the length of deliberate practice and

individuals is willing to apply. It is an important aspect of besting coding practices since

deliberate practice demonstrates repetition, rehearsal, and attention and might likely improve

one's skills or knowledge as a developer when faced with new demanding challenges. Despite

other aspects such as motivation and intelligence are vital for performance as a developer;

constant deliberate practice is significant for expanding one’s expertise on the same. The

application of the deliberate practice as part of the coding routine engages the developer in

repetitive activities that improve performance in coding (Dr. Garbade, 2019). A constant

application such behavior in coding helps the developer develop and maintain professional

performance. A lot of practice directed towards coding forces a developer to current innovations

and master the right coding practice when dealing with complexities. Having good coding skills

is a form of art and it is vital to regularly practice the craft to avoid reduced productivity, quality,

and performance. It is impossible to learn new concepts without practice and exploration of the

field for new and fresh ideas.

Some programmers seem to have a natural ability to accurately extract meaning from code

within a short period. Code comprehension is a vital part of becoming a good programmer since

it gives the coder the room to understand the entire coding process to reduce unintended

mistakes. It is thus important to build strong mental models as part of the process of building

effective coding skills (Young, 2017). The journey involving code design requires the definition

of the problem with the help of mental models to help in completing the task at hand. Coding

requires maintaining a higher level of passion for expanding coding knowledge and translating

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ideas to real-life solutions. It includes general knowledge and skills related to programming

languages, computer science ideas, programming principles, and frameworks (Young, 2017).

Comprehending the best coding practices in the context of effective cording skills requires links,

knowledge, and hypothesis for a complete approach to coding. Comprehending the whole

concept and idea for coding to solve a particular problem demands the ability to align the code

with general knowledge. Aiming to improve one’s skills in coding requires constant training to

capture and execute the meaning from code to grow the right skills in revising and generating

hypotheses. It helps in cultivating a strong mental model for improved coding practices.

Appropriate Editor and Performance

In any field of operation, selecting the right tools for the recommended task is important for

quality and performance and the same concept applies to code. In the context of coding, the

developer is forced to reach informed decisions between text editor and IDEs when writing

codes. As a result, the first step as a programmer is to comprehend the features that separate IDE

from text editors. It helps the programmer to effectively weigh the benefits and shortcomings for

the two and the context they work effectively for informed conclusions. Understanding the

complexity of the task at hand demonstrates the most effective way to decide on the editor to use

to achieve the quality and efficiency of the software. Programmers are tasked to solve several

tasks simultaneously hence having the right knowledge of the two editors reduces the changes of

code failure and improves the efficiency of the coder (Rozema, 2015). A coder that has a good

understanding of the programming language in use and the best text editor related to the same

has better changes of writing better codes as opposed to a coder lacking this understanding.

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Selecting the right editor as a programmer is vital to manipulate the code to produce the most

effective and desired program.

Failing to focus on performance is yet another common coding practice that most developers

fail to correct during the coding phase. It is since end-users and developers cannot fully depend

on the processor time and user network as the most effective means of boost the performance of

an application of the software. Therefore, adhering to the performance of the code during the

coding stage demonstrates good skills as a developer. Coders must strive to understand the

performance of a code and its functions and areas that report bottleneck (Saeed, 2018). As a

developer, you should aim to note performance issues within the system to enhance its

performance, algorithms and the structure of the code. The performance of the code focuses on

mastering the database calls and how they are executed. Therefore, understanding their latencies

accumulate is on way to improve the response time of the code.

Coding Speed

Having the right speed as a programmer is important when working under pressure or when

you need to finish the code fast for other reasons. However, the problem is that my coders do not

have the right understanding of how to make this happen. It is significant to take into

consideration the key factors that will help any developer grow their coding speed and the ability

to meet deadlines effectively (Neovibe Technologies, 2017). The first approach is to improve

one’s typing speed since it is vital in coding. Good typing skills help the programmer in keeping

the focus during coding and reducing taking the focus away from the code.

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Understanding the best practices regarding coding is effective for any aspiring programmer.

Good coding practices help create value to the code or project and execute programming ideas

more effectively and productively. Coding does not just involve writing code; it demands the

ability of the coder to come up with good code. The programing practice addressed in the study

is significant in ensuring your code is accurate, readable, and easy to comprehend during

medication. The purpose of the practice is to enhance code readability and the quality of the

written code in problem-solving. The paper discusses some of the best coding practices for

developing clean code despite the type of programming language a programmer is utilizing for

the practice.

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Reference List

Cleopatra, E.M (2018). Best Programming Practices Every Programmer Should Follow. From

https://www.technotification.com/2018/05/best-programming-practices.html

Guzel, B. (2011). Top Fifteen Best Practices for Writing Super Readable Code. From

https://code.tutsplus.com/tutorials/top-15-best-practices-for-writing-super-readable-code--net-

8118

AltexSoft Inc, (2018). Software Documentation Types and Best Practices. From

https://blog.prototypr.io/software-documentation-types-and-best-practices-1726ca595c7f

Miara, R., Musselman, J., Navarro, J., & Shneiderman, B. (2015). Program Indentation and

Comprehensibility. From https://www.cs.umd.edu/~ben/papers/Miara1983Program.pdf

Pal, K. (2016). Importance of Code Indentation. From http://mrbool.com/importance-of-code-

indentation/29079

Lalimijoro, (2018). The DRY Principle and Why You Should Use It. From

https://medium.com/@Ialimijoro/the-dry-principle-and-why-you-should-use-it-

f02435ae9449

DevIQ, (2020). Don’t Repeat Yourself. From https://deviq.com/don-t-repeat-yourself/

Apiumhub, (2020). DRY- Don’t Repeat Yourself. From https://apiumhub.com/tech-blog-

barcelona/dry-dont-repeat-yourself/

Wieben, J. (2019). On The Importance of Simplicity in Software. From

https://www.codementor.io/@joniwieben/on-the-importance-of-simplicity-in-software-

uj5y3tnw6

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Devopedia, (2019). Why Should We Have A Naming Convention and What are Its Advantages?

From https://devopedia.org/naming-conventions

Dr. Garbade, G. (2019). Importance of Practice in Programming: 2019 Guide. From

https://medium.com/@ledumjg/importance-of-practice-in-programming-2019-guide-

105ff37e8351

Young, S. (2017). Become a Better programmer by Learning How You Understand Code. From

https://dzone.com/articles/become-a-better-programmer-by-learning-how-you-und

Rozema, R. (2015). IDE vs. Text Editor: Choosing the Right Tool at the Right Time. From

https://spin.atomicobject.com/2015/12/22/ide-vs-text-editor/

Saeed, A. (2018). 10 Simple Rules for Best programming Practices/Tricks. From

https://codinginfinite.com/ten-best-programming-practices-tips-tricks/

Neovibe Technologies, (2017). 6 Ways to Improve Coding Speed and Optimize Performance.

From https://medium.com/@Neovibe/6-ways-to-improve-coding-speed-and-optimize-

performance-dd317d77dc67

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