range() –E.g.,range(10) togeneratesequences.Logicaloperators –Such asand, or, not.for loop –Forexample: fori in range(5):Tuplecreation –E.g.,my_tuple =(1, 2, 3)Set creation– E.g.,my_set ={1, 2, 3}return – Exitsa function andoptionallyreturns avalue.continue –Skips to thenext iterationof a loop.def –Used todefine afunction.as – Foraliasingmodules,e.g., importnumpy as npelse – Thefallbackbranch forconditionals.input() –For gettinguser input.import –Importingmodules,e.g., importmathprint("Hello,world!") –The classicoutputcommand.break –Exits aloop early.List creation– E.g.,my_list = [1,2, 3]try/exceptblock – Forhandlingerrors.Comparisonoperators –Such as ==,!=, <, >.f-string – Forformattedstrings, e.g.,f"Hello,{name}"len() – To getthe length ofa list, string,etc.lambda –Anonymousfunctions,e.g., lambdax: x * 2type() – Tocheck thedata type,e.g., type(x)Listcomprehension– E.g., [x for xin range(10)]Variableassignment– E.g., x =10elif – Usedfor additionalconditionalchecks.if – Thebasicconditionalstatement.while loop –Repeats aslong as acondition istrue.from ...import ... –E.g., frommath importpiDictionarycreation –E.g., my_dict= {"key":"value"}Docstring – Astring literal fordocumentation,e.g.Arithmeticoperators– Such as+, -, *, /.range() –E.g.,range(10) togeneratesequences.Logicaloperators –Such asand, or, not.for loop –Forexample: fori in range(5):Tuplecreation –E.g.,my_tuple =(1, 2, 3)Set creation– E.g.,my_set ={1, 2, 3}return – Exitsa function andoptionallyreturns avalue.continue –Skips to thenext iterationof a loop.def –Used todefine afunction.as – Foraliasingmodules,e.g., importnumpy as npelse – Thefallbackbranch forconditionals.input() –For gettinguser input.import –Importingmodules,e.g., importmathprint("Hello,world!") –The classicoutputcommand.break –Exits aloop early.List creation– E.g.,my_list = [1,2, 3]try/exceptblock – Forhandlingerrors.Comparisonoperators –Such as ==,!=, <, >.f-string – Forformattedstrings, e.g.,f"Hello,{name}"len() – To getthe length ofa list, string,etc.lambda –Anonymousfunctions,e.g., lambdax: x * 2type() – Tocheck thedata type,e.g., type(x)Listcomprehension– E.g., [x for xin range(10)]Variableassignment– E.g., x =10elif – Usedfor additionalconditionalchecks.if – Thebasicconditionalstatement.while loop –Repeats aslong as acondition istrue.from ...import ... –E.g., frommath importpiDictionarycreation –E.g., my_dict= {"key":"value"}Docstring – Astring literal fordocumentation,e.g.Arithmeticoperators– Such as+, -, *, /.

CODE VS ANIMATION - Call List

(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.


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  1. range() – E.g., range(10) to generate sequences.
  2. Logical operators – Such as and, or, not.
  3. for loop – For example: for i in range(5):
  4. Tuple creation – E.g., my_tuple = (1, 2, 3)
  5. Set creation – E.g., my_set = {1, 2, 3}
  6. return – Exits a function and optionally returns a value.
  7. continue – Skips to the next iteration of a loop.
  8. def – Used to define a function.
  9. as – For aliasing modules, e.g., import numpy as np
  10. else – The fallback branch for conditionals.
  11. input() – For getting user input.
  12. import – Importing modules, e.g., import math
  13. print("Hello, world!") – The classic output command.
  14. break – Exits a loop early.
  15. List creation – E.g., my_list = [1, 2, 3]
  16. try/except block – For handling errors.
  17. Comparison operators – Such as ==, !=, <, >.
  18. f-string – For formatted strings, e.g., f"Hello, {name}"
  19. len() – To get the length of a list, string, etc.
  20. lambda – Anonymous functions, e.g., lambda x: x * 2
  21. type() – To check the data type, e.g., type(x)
  22. List comprehension – E.g., [x for x in range(10)]
  23. Variable assignment – E.g., x = 10
  24. elif – Used for additional conditional checks.
  25. if – The basic conditional statement.
  26. while loop – Repeats as long as a condition is true.
  27. from ... import ... – E.g., from math import pi
  28. Dictionary creation – E.g., my_dict = {"key": "value"}
  29. Docstring – A string literal for documentation, e.g.
  30. Arithmetic operators – Such as +, -, *, /.