apcsp

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What is data in computing?

Data is a way of showing something using symbols.

What are the four functions of computers with data?

Inputs data, Outputs data, Processes data, Stores data.

What are the three elements of a variable?

1. A name, 2. An equal sign, 3. A value (data type). Example: score = 1.

What defines a list in programming?

Lists contain more than one item, are indexed, and have 1. A name, 2. An equal sign, 3. Square brackets. Example: sports = ["soccer", "football", "basketball"].

What is the structure of a dictionary in programming?

Dictionaries store items that have two parts: a key and a value, separated by a colon and enclosed in curly brackets. Example: def team_mascot {Birmingham:Patriots}.

What defines a tuple?

Tuples are square-bracket lists which have items that never change. Example: choice = ["Yes", "No"].

What are the different data types?

1. Character – one symbol. Ex. "G," "?" "1". 2. String – a group of characters Ex. "go". 3. Integer – a whole number Ex. 1, 45, 3500. 4. Float – a decimal, e.g., 3.45567. 5. Boolean– Either True or False.

What is the purpose of imperative statements in programming?

Imperative statements (verbs) explain variables, lists, etc. Ex. Declare → Variables: Declares the variable [name] to be equal to [data type] [value].

What does the 'import' statement do in programming?

Imports the module [name] Functions/Procedures/Methods which are pre-written blocks of code.

What is abstraction in data concepts?

Abstraction is hiding the details behind something to manage complexity. It gives a collection of data a name without referencing specific details.

What is data compression?

Data compression reduces the size (number of bits) of transmitted or stored data, with lossless allowing complete reconstruction of original data and lossy allowing only approximations.

What is metadata?

Metadata is data about data (e.g., Name, Age, Birthdate, Address) that structures and organizes data.

What is parallel computing?

Parallel computing is a way of performing many calculations or tasks at the same time to make programs run faster and handle larger