Sometimes, it is necessary to break the rules of the Programmers world, Make coding a little more exciting, and Write more efficient and quality code.

Humans break some rules throughout their lives, and while they know they are doing something wrong, they secretly like to do some things.

Various rules and guidelines surround the world of programming. By disregarding some of them, we have taken a step forward.

Six programming rules that hinder professional programmers

Willingly or unwittingly, application developers write seemingly correct but wrong code that isn’t going to blow up computers and that even customers will be happy to use their application. Still, deep down, they aren’t good code.

Always keep in mind that other developers will judge any code you write. If you write destructive code, at best, you will be ridiculed, and at worst, your code will be exposed to people as wrong and instructive coding. It is better to break the rules to make the codes more complicated to avoid this problem and good coding!!

Why is it complicated? We write cleaner and more readable codes that run on computer systems with the least amount of time. The programming world has so many rules that breaking some of them improves the coding process.

1. Copying

• The first bad habit is copying. Copying is one of the biggest mistakes that start from school and university. There are no specific rules regarding non-copying in working environments, but undoubtedly, some code should not be copied. If you see particular codes in which the author has used the word copyright at the beginning, you should not use them to build commercial programs.
  It is better to spend some time and write your codes. Some developers share their code and specify the type of license (BSD, MIT) at the beginning of the project documentation, which indicates the type of use of the code. In this case, you can pay for access to the code and use it in a business application because sometimes, writing complex code is time-consuming, and you don’t have to reinvent the wheel. Legal copying allows you to fix the shortcomings of the written code and use the principles of other developers in your project.
  The code shared on sites like GitHub is the brainchild of a developer or a group of developers who have devised a solution to a problem. A closer look at these codes will help you find ideas for solving similar problems. Copying the principles with your eyes completely closed has a big problem; there may be hidden issues in the copied codes or different assumptions related to the role of data in the principles you do not understand correctly, and the regulations are complete and complete in entering your schedule.
  In such a situation, when the program faces a problem, and the company or team manager asks a question about the piece of code and demands that the principles be changed, you will face a severe problem. The code shared on sites like GitHub is the brainchild of a developer or a group of developers who have devised a solution to a problem.
  A closer look at these codes will help you find ideas for solving similar problems. Copying the principles with your eyes completely closed has a big problem; there may be hidden issues in the copied codes or different assumptions related to the role of data in the principles you do not understand correctly, and the regulations are complete in entering your schedule. In such a situation, when the program faces a problem, and the manager of the company or the team asks a question about the piece of code and demands to change the principles, you will face a severe problem.
  The code shared on sites like GitHub is the brainchild of a developer or a group of developers who have devised a solution to a problem. A closer look at these codes will help you find ideas for solving similar problems. Copying the principles with your eyes completely closed has a big problem; there may be hidden issues in the copied codes or different assumptions related to the role of data in the principles you do not understand correctly, and the regulations are complete in entering your schedule.
  In such a situation, when the program faces a problem, and the manager of the company or the team asks a question about the piece of code and demands to change the principles, you will face a severe problem. Copying the regulations with your eyes wholly closed has a big problem; there may be problems in the copied codes or different assumptions related to the role of data in the principles that you do not understand their logic correctly, and the regulations are complete and complete in entering your schedule.
  In such a situation, when the program faces a problem,m and the manager of the company or the team asks a question about the piece of code and demands to change the principles, you will face a severe problem. Copying the regulations with your eyes wholly closed has a big problem; there may be hidden issues in the copied codes or different assumptions related to the role of data in the principles that you do not understand their logic correctly, and the regulations are complete and complete in entering your schedule.
  In such a situation, when the program faces a problem, and the company or team manager asks questions about the piece of code and demands that the principles be changed, you will face a severe problem.

2. Absence of functionalist codes

• The second bad habit is the lack of functional-oriented regulation. Over the past decade, the functional coding paradigm has had an upward curve. In most cases, this programming paradigm builds programs using nested code calls. Experienced developers ensure that all data is moving through the correct channels before coding.

3. Using standard spacing

• The third bad habit is not using standard spacing. In most programming languages, the use of space between codes does not hurt the performance of programs. Freedom does not hurt how the program works in other languages, except for a few programming languages, ​​such as Python, that use spaces to indicate a block of code. Some programmers still have a strange obsession with this, and in one case, I even saw a programmer seriously say to the project manager:
  “I’m writing non-standard code!”. Sometimes, you have to think about something more profound than the placement of spaces. You may be concerned about the extra load it will impose on the database. You may be worried that too many white areas will ruin the quality of your code, but you should know that white spots are just as important as quality coding.

4. Using the goto command

• The fourth lousy habit is using the goto command. In old programming languages, ​​goto played a key role, and programs were rarely written without this command. However, Goto-like orders that jump to a line number can significantly reduce code readability. Compiler developers eventually allowed developers to use tags instead of line numbers, which was a nice and helpful feature, but still, Goto is a significant programming mistake.

5. Definition of data types

• The fifth biggest mistake is the definition of data types. Instead of explicitly defining a data type, people who love typed languages define a variable in the program and delegate the data type detection process to the compilers. In the past, this would cause programs to show strange errors.
  Still, in the new age, when compilers have become smart enough to infer the type of code by looking at it, this strategy is acceptable, as it allows leaving out the most straightforward Notifications and aves a few bits. In most cases, developers can identify data types by looking at your program’s for loops and the I variable.

6. Not writing personal data structures

• The sixth lousy habit is not writing private data structures. One of the unwritten rules of the programming world is that after taking a data structures course in his sophomore year of college, a programmer should never write code to store data and should instead always use predefined data structures because someone already has them. I wrote and tested this rule over the years.
  All you have to do is use these codes in different ways. The fact is that sometimes the data structures are a bit slow, and if we use these codes, we make a coding mistake. Sometimes, libraries lead us to reconfigure our data instead of letting us use structures. Sometimes libraries have features like locking threads or processes, while our code doesn’t need these features.
  In such a situation, it is better to write our own data structures that are more readable and run faster. This short note cannot cover many points, but sometimes, breaking tradition brings progress in the programming world.