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Content STOP using OOP Object-Oriented Programming ENCAPSULATES your data, RESTRICTING its flow over your program. Let natural selection take its course and randomly choose which of your arbitrarily-named local and global variables to use. Object-Oriented Programming ABSTRACTS data, CONCEALING it from the rest of your program. How do YOU feel knowing the goverment hides data from YOU? Your classes feel the same way. Object-Oriented Programming INHERITS its data, STEALING them from your other classes and passing it off as its own. YOU wouldn't like it if someone stole YOUR code and said it was theirs! Your base classes don't like it either. Object-Oriented Programming makes your classes POLYMORPHIC, treating derived classes as LESS THAN THEY ARE. Interpreting your classes as something they are not is demeaning. It also takes away the STRUCTURE and VERBOSITY that casting and conversion functions create. This is an example of the beauty, simplicity, and elegance of normal, procedural programming. include iostream int main() std:: cout "Hello, World!" std::endl; return OF This is an example of the horrors that OOP creates. This dark-mode friendly propaganda brought to you by the "Go is not 00P as it does not support key OOP concepts such as true polymorphism or inheritance, instead relying on method-based interfaces to pass similar structures" gang

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Content Data Analytics Engineer Stomble Sydney, New South Wales, Australia (Remote) in Easy Apply Save The successful applicant should have knowledge of: Creating databases Data Visualizations Understanding of where to apply Machine Learning algorithms such as Linear Regression, Multiple Regression, K means clustering etc Recommendation Systems (Preferred) Web APIs. (Preferred) Technologies required: Python SQL and NoSQL databases (DynamoDB Prefered) Web development knowledge. HTML, CSS andJAVASCRIPT. (Preferred) Knowledge of AWS is Preferred. Knowledge of Analytics tools like Tableau, AWS QuickSight Version Control (Git). Required Education: Currently completing master's or bachelor's in computer scienceIT Data Scienceengineering. The responsibilities and attributes are: - Eager to solve challenging problems. - Has done prior freelance work. - Willingness to work as part of a cross-functional team environment. - You thrive on innovation and experimentation. - You can work and deliver work on deadlines. - Getting your hands dirty in real-world tasks and problems. Do not apply if: Can not work unpaid.