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

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