break – Exits a loop early. try/except block – For handling errors. List comprehension – E.g., [x for x in range(10)] f-string – For formatted strings, e.g., f"Hello, {name}" range() – E.g., range(10) to generate sequences. Arithmetic operators – Such as +, -, *, /. continue – Skips to the next iteration of a loop. input() – For getting user input. while loop – Repeats as long as a condition is true. from ... import ... – E.g., from math import pi return – Exits a function and optionally returns a value. Dictionary creation – E.g., my_dict = {"key": "value"} for loop – For example: for i in range(5): Variable assignment – E.g., x = 10 else – The fallback branch for conditionals. def – Used to define a function. lambda – Anonymous functions, e.g., lambda x: x * 2 Comparison operators – Such as ==, !=, <, >. elif – Used for additional conditional checks. Tuple creation – E.g., my_tuple = (1, 2, 3) import – Importing modules, e.g., import math if – The basic conditional statement. type() – To check the data type, e.g., type(x) as – For aliasing modules, e.g., import numpy as np len() – To get the length of a list, string, etc. Docstring – A string literal for documentation, e.g. Logical operators – Such as and, or, not. List creation – E.g., my_list = [1, 2, 3] print("Hello, world!") – The classic output command. Set creation – E.g., my_set = {1, 2, 3} break – Exits a loop early. try/except block – For handling errors. List comprehension – E.g., [x for x in range(10)] f-string – For formatted strings, e.g., f"Hello, {name}" range() – E.g., range(10) to generate sequences. Arithmetic operators – Such as +, -, *, /. continue – Skips to the next iteration of a loop. input() – For getting user input. while loop – Repeats as long as a condition is true. from ... import ... – E.g., from math import pi return – Exits a function and optionally returns a value. Dictionary creation – E.g., my_dict = {"key": "value"} for loop – For example: for i in range(5): Variable assignment – E.g., x = 10 else – The fallback branch for conditionals. def – Used to define a function. lambda – Anonymous functions, e.g., lambda x: x * 2 Comparison operators – Such as ==, !=, <, >. elif – Used for additional conditional checks. Tuple creation – E.g., my_tuple = (1, 2, 3) import – Importing modules, e.g., import math if – The basic conditional statement. type() – To check the data type, e.g., type(x) as – For aliasing modules, e.g., import numpy as np len() – To get the length of a list, string, etc. Docstring – A string literal for documentation, e.g. Logical operators – Such as and, or, not. List creation – E.g., my_list = [1, 2, 3] print("Hello, world!") – The classic output command. Set creation – E.g., my_set = {1, 2, 3}
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
break – Exits a loop early.
try/except block – For handling errors.
List comprehension – E.g., [x for x in range(10)]
f-string – For formatted strings, e.g., f"Hello, {name}"
range() – E.g., range(10) to generate sequences.
Arithmetic operators – Such as +, -, *, /.
continue – Skips to the next iteration of a loop.
input() – For getting user input.
while loop – Repeats as long as a condition is true.
from ... import ... – E.g., from math import pi
return – Exits a function and optionally returns a value.
Dictionary creation – E.g., my_dict = {"key": "value"}
for loop – For example: for i in range(5):
Variable assignment – E.g., x = 10
else – The fallback branch for conditionals.
def – Used to define a function.
lambda – Anonymous functions, e.g., lambda x: x * 2
Comparison operators – Such as ==, !=, <, >.
elif – Used for additional conditional checks.
Tuple creation – E.g., my_tuple = (1, 2, 3)
import – Importing modules, e.g., import math
if – The basic conditional statement.
type() – To check the data type, e.g., type(x)
as – For aliasing modules, e.g., import numpy as np
len() – To get the length of a list, string, etc.
Docstring – A string literal for documentation, e.g.
Logical operators – Such as and, or, not.
List creation – E.g., my_list = [1, 2, 3]
print("Hello, world!") – The classic output command.
Set creation – E.g., my_set = {1, 2, 3}