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

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