Answer:
Following are the answer to this question:
Explanation:
As we know, that Python is based on Oop's language, it allows programmers to decide, whether method or classes satisfy the requirements.
- It's an obvious benefit, in which the system tests the functions, and prevent adverse effects, and clear the syntaxes, which makes them readable for such methods.
- All the framework uses the python language, that will be used to overcome most every coding task like Mobile apps, desktop apps, data analyses, scripting, automation of tasks, etc.
B false data does not only have to be facts
Answer:
A key benefit of inheritance is: an object can have several types, it is type compatible with any of its super classes
Explanation:
- Inheritance is one of the fundamental concepts of Object Oriented Programming.
- Inheritance allows classes (derived classes) to inherit the methods and properties of a class (base class).
- The class or classes that inherits the characteristics from another class is called a derived class, child class or sub class. Derived class can also has it own methods and attributes additionally.
- The class whose methods and properties are inherited by the derived class or classes is called a base class, super class or a parent class.
- Benefit of inheritance is that inheritance new objects can take properties of existing objects and an object can have many types.
- Also a child class can inherit from more than one super classes which is called multiple inheritance.
- Multiple inheritance allows a class to implement more than one abstract classes.
- An object can have several types. These types can be of an object's own class and also other types which include all classes that a class inherits.
- If a variable is declared to be the type of super class then value of that variable can refer to any instance that instantiated from any class that inherits that super class. This means that an object is type compatible with an of its super classes.
The three tasks within data harmonization, namely: data consolidation, data cleansing, and data formatting use techniques called harmonization rules that implement those tasks -The statement is true
Explanation:
Data harmonization refers to the process of combining the data of varying files and formats ,name conventions and columns and transforming the same into one data set.
Data harmonization refers to the process of integrating multiple data source into a single data set.
By adopting the Data harmonization technique we can reduce the problem of redundant data and conflicting standard
The name harmonization is an analogy to the process to harmonizing discordant music.
The goal of data harmonization is to find commonalities, identify critical data that need to be retained, and then provide a common standard.
