Clean up code in the Performance Improvement Plan

Aug 6th, 2022
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How to clean up code in the Performance Improvement Plan

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hello im alan sklar and this is clover working wisdom dot-com the blog site that is dedicated to empowering you in navigating and negotiating at work for 25 years Ive been helping employees worldwide with their issues related to their employment this blog site is dedicated to helping bring to you solutions to the problems you frequently face the title of this video is performance improvement plans how to respond performance improvement plans or pips as some people call them have always been a tool to help employees understand problems in their performance and to solve those problems to improve their performance lately however there seems to be something of an epidemic of employees being faced with what I consider to be very unfair performance improvement plans and performance improvement plans that almost seem designed to eliminate them from the workforce and sadly in doing so to deny them severance benefits or even unemployment insurance if you are one of the many many people who ar

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10 tips for writing cleaner code in any programming language Use descriptive names. Use empty lines to create a readable code. Do not send more than three parameters into a function. Remember the functions must do only one thing. Functions must be small. Reduce the number of characters in a line. Avoid using comments.
Code cleanup refers to the act of writing code so that it cleans up leftover data structures and other unwanted materials from memory and the filesystem. It is sometimes treated as a synonym of refactoring code, which involves making the source code itself easier to understand, maintain, and modify.
Although the implementation of creating highly readable code can vary, there are 5 key practices every programmer should follow. Appropriately name variables. Abstraction over implementation and DRY (Dont Repeat Yourself) YAGNI (You Arent Gonna Need It) Maintain consistent indentation, formatting, and noise removal.
Follow a consistent coding style and naming conventions. Keep functions and methods small and focused on a single task. Use meaningful and descriptive names for variables, functions, and classes. Comment and document your code to explain complex logic or non-obvious decisions.
Clean Code creates and sustains reliability. When your software is reliable, anywhere and anytime, it creates trust among your teams and customers.
10 steps to writing clean code Follow conventions. Indicate variable scope. Say what you mean. Whitespace is nice space. Commenting saves lives. Automate to save time and space. Remember the power of i. Birds of a feather group similar variables together.
Use Descriptive Names. Assign Each Class or Function a Single Purpose. Delete Any Unnecessary Code. Readability is More Important Than Being Clever. Maintain a Consistent Coding Style. Choose an Architecture That Makes Sense for You. Write Good Comments. Refactor Extensively.
These practices not only improve code quality but also make maintenance and teamwork more manageable. Start with a plan. Write meaningful variable and function names. Write small, modular functions. Use data structures appropriately. Comment your code liberally. Indent your code for readability.

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