Module 2 - Anatomy of a Python Statement

Question 1

what can python statements do?

Answer 1

Creating data objects

Giving names to data objects

Performing operations on data objects

Use properties of data objects to execute other statements conditionally and/or repeatedly

Question 2

yypes of python statements

Answer 2

simple statements and compound statements.

Question 3

simple statement.

Answer 3

one line of code

Question 4

compound statements.

Answer 4

contain multiple commands or instructions that are dependent on each other in some ways

Question 5

tokenization

Answer 5

breaking up the statement into so-called tokens.

Question 6

Tokens

Answer 6

smallest meaningful unit in a Python program. composed of sequences of characters

Question 7

types of tokens

Answer 7

1. Keywords
2. Identifiers
3. Literals
4. Delimiters
5. Operators
6. Whitespace Tokens

Question 8

character

Answer 8

alphabet, a number, a punctuation or a symbol like +, *, &, ^, etc.

Question 9

Keywords

Answer 9

words reserved for a specific purpose

Question 10

Identifiers

Answer 10

used to refer to objects in memory

Question 11

features of an identifier

Answer 11

begins w letter or underscore
optionally, continues w letter, digit, or underscore
cannot be a python keyword

Question 12

is python case-sensitive?

Answer 12

yes. uppercase and lowercase letters are considered different characters.

Question 13

Literals

Answer 13

used to represent constant, fixed values in your program

Question 14

types of literals

Answer 14

integer literals
floating point literals
string literals

Question 15

integer literals

Answer 15

Integer literals are tokens made up of one or more digits and no other characters.

Question 16

floating point literals

Answer 16

tokens used to represent a real number.

A float literal contains a dot (.) and one or more digits.

Question 17

string literals

Answer 17

String literals are sequences of characters surrounded by single quotation marks (‘) or double quotation marks (“)

Question 18

Delimiters

Answer 18

special characters whose functions vary depending on context.

Question 19

Operators

Answer 19

tokens that perform operations on objects

Question 20

Whitespace Tokens

Answer 20

three individual Python tokens that do not belong to any token kind.

indent
dedent
newline

Question 21

parsing

Answer 21

the process of python understanding the program

Question 22

how does python parse out tokens?

Answer 22

Python reads statements left-to-right and top-to-bottom

Python looks for the longest continuous sequence of tokens possible that can be read as a statement

Whitespace can be used to manually separate tokens

Question 23

indentation rules

Answer 23

if you indent once, and the next line has the same indentation level, only one indent token will be parsed, the first one

a single line of code can only have one indent token at a time.

a single line of code can have multiple dedent tokens

Question 24

features of an object

Answer 24

identity, type, value

Question 25

what is the identity of an object? how can you find it?

Answer 25

refers to the location where it is stored in the computer memory. You can find the identity of an object by using the id function.

Question 26

what is the type of an object? how can you find it?

Answer 26

determines the kinds of operations that are performed on it and how it can be stored in memory. You can find the type of an object by using the type function.

Question 27

what is the value of an object

Answer 27

The value of an object determines the memory contents for each particular object of a certain type.

Question 28

can Two distinct objects have the same type, value, and identity?

Answer 28

Two distinct objects can have the same type and the same value—but they will always have different identities.

Question 29

list vs tuple

Answer 29

while tuples are immutable objects, lists are mutable (can be changed) lists are square brackets.

Question 30

types of simple statements

Answer 30

assignment statement expression statement import statement

Question 31

assignment statement

Answer 31

allow us to give names to objects in memory

Question 32

expression statement

Answer 32

piece of code that can be evaluated to produce a value

Question 33

import statement

Answer 33

allows us to gain access to different modules with specific functionalities

Question 34

Types of expression statements

Answer 34

atomic expression attribute reference subscription operation unary + binary slicing function call

Question 35

atomic expression

Answer 35

a piece of code that has a value and cannot be broken down into smaller pieces. >>> 42 >>> x = 1 >>> x >>> [1,2,3]

Question 36

Function Calls

Answer 36

represent computations or operations on objects that are commonly used in programs. Rather than writing the same lines of code repeatedly for a single computation, we can call the function that does it all for us in one line. ex: print

Question 37

Subscription Operations

Answer 37

used to select an element from a list, string, or tuple. This is achieved by specifying the index or position of the item within a sequence. We always start counting from 0. >>> "Hello World!"[0] >>> 'H'

Question 38

Slicing

Answer 38

Slicing allows us to select a range of items or characters from a sequence, such as a string, list, or tuple. >>> "catfish"[0:3] >>> 'cat'

Question 39

>>> "catfish"[0:3] >>> 'cat' why does it return 'cat' and not 'catf'?

Answer 39

0 does refer to the first item in the sequence

Question 40

Attribute Reference

Answer 40

Some objects in Python have so-called attributes. This can be seen in modules. Modules may contain functions and constants, which are considered attributes of that specific module.