Clean code in powerpoint smoothly

Aug 6th, 2022
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How to clean code in powerpoint with top efficiency

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How to Clean code in powerpoint

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[Music] hello everybody and welcome to another youtube video so in todays video im going to be showing you how to write cleaner code now the way ill be doing that is by going through a script that i wrote about three or four years ago just pointing out some of the flaws in it and showing you how we can make some minor refactors and changes that just make this code much cleaner easier to read and just better in general now clean code is a subjective topic some people will say one script is better than the other or this way of doing things is better than the other way but a lot of stuff that im going to cover here is not really controversial this is just stuff that generally will make your code cleaner and so take everything i say with a grain of salt but generally the stuff im going to show you here is a best practice and at least in python what you should be doing so before i actually get into this ill just quickly mention that all of the code here again is from a tutorial that

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Best practices for writing clean code Keep it simple: If the best code is easily read and understood by others, then its almost always the case that less is more. Use meaningful names: Your coding will include all kinds of variables, functions, and classes, so its crucial to use appropriate names for them.
Clean Code Principles KISS: Keep It Simple Stupid. A design principle originating from the U.S. Navy that goes back to 1960 already. DRY: Dont Repeat Yourself. Closely related to KISS and the minimalist design philosophy. YAGNI: You Arent Gonna Need It. Composition over inheritance: Not an acronym, sadly.
The characteristics of clean code are: simple, readable, maintainable, and testable. The symptoms of bad code are: Hard to read, Unnecessarily complex, and hard to test and maintain. Hard coding should be avoided to write quality code. Hardcoding can lead to serious maintainability issues if the project grows in size.
Clean code is clear, understandable, and maintainable. When you write clean code, youre keeping in mind the other people who may read and interpret your code at a later time. Youre helping others understand the purpose of your code so that they can make changes to it eventually.
Patterns for writing clean code in Python Use long descriptive names that are easy to read. Use descriptive intention revealing names. Avoid using ambiguous shorthand. Always use the same vocabulary. Dont use magic numbers. Be consistent with your function naming convention.
The 5 key benefits of clean coding Easier to maintain. While writing quick and dirty code may save time during development, there is a strong likelihood it will cost you time later fixing the bugs it creates. Easier to spot bugs. Easier to understand. Easier for search engines to understand. Easier to impress.
Clean code should be readable. If someone is reading your code they should have feeling of reading a poetry or prose. Clean code should be elegant. Clean code should be simple and easy to understand. Clean code should be easy to understand, easy to change and easy to taken care of. Clean code should run all the tests.
How to develop maintainable software Design for maintainability from the outset. Iterative development and regular reviews help to improve quality - see the section below. Readable code is easy to understand (write programs for people) Refactor code to improve its understandability.
Generally, adding a new feature to clean code happens more quickly and with less new bugs than does adding it to bad code. Clean code is more easily picked up by a team member who did not work on it originally.
Clean coding improves dependability, extensibility, and performance all around. One of the founding principles of the clean coding movement is a simple fact: Far more time is spent reading code than writing it.

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