#python

  1. "Danny"
  2. 1
  3. 1. Boolean values
  4. 1D array
  5. a variable that can be used in a list
  6. Aggregate Functions in Python
  7. Arguments in Python
  8. Array Functions and Methods in NumPy
  9. Basic Plots with Matplotlib
  10. Calling the function
  11. Chaining Functions in Python
  12. Classes in Python
  13. Collections Module in Python
  14. Commenting in Python
  15. Comparison Operators in Python
  16. Conditional Logic in Python
  17. Create a basic DataFrame from a dictionary
  18. Create a simple DataFrame
  19. Create arrays
  20. Customising Plots in Matplotlib
  21. Debugging in Python
  22. define a function with inputs
  23. defines the variable with the zero-indexed item: (Auckland FC)
  24. Documentation for Python
  25. Documenting Functions in Python
  26. Download historical data for a stock
  27. Equals, Equality & Is in Python
  28. Example: Linear regression
  29. External (Third-Party) Modules in Python
  30. Functionality in fileA.py
  31. Hashable in Python
  32. have a list (iterable)
  33. Histograms (Matplotlib)
  34. History of Arrays
  35. IBM's Notes on Types in Python
  36. imports the random module
  37. Input Function in Python
  38. Introduction to Python
  39. Iterators & Generators in Python
  40. Joining in Pandas
  41. lets import the reader from the CSV module
  42. List Comprehension with Conditional Logic in Python
  43. LIST example
  44. Matplotlib in Python
  45. Methods in Pandas
  46. not including () between the function name and :
  47. NumPy and Matrix Mathematics
  48. Object Oriented Programming (OOP) in Python
  49. Operator Precedence in Python
  50. Order of Precedence in Calculations - PEMBAS
  51. Organising Your Own Modules in Python
  52. ORIGINAL LIST
  53. Read the whole file
  54. request as a variable
  55. returns
  56. returns
  57. returns
  58. returns
  59. returns
  60. returns 'k'
  61. returns ["email": "unknown"]
  62. returns [1, 2, (3,), 'James', {'lastname': 'Bond', 'job': 'Secret Agent'}]
  63. returns [1, 2, 3, 4, 5]
  64. returns [10, 20, 30]
  65. returns [4, 3, 2, 1]
  66. returns {'first':1, 'second':4, 'third':9}
  67. returns {'key': 'value'}
  68. returns {'Prashant', 'James', 'Charlotte', 'Aparna', 'Mesut', 'Oliver', 'Jane', 'Matthew', 'Helen'}
  69. returns {0, 1, 64, 4, 36, 9, 16, 49, 81, 25}
  70. returns <class 'str'
  71. returns 12
  72. returns 16
  73. returns 23.43
  74. returns 31
  75. returns 49
  76. returns an empty list []
  77. returns apple, banana, cherry
  78. returns array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
  79. returns hello world!
  80. returns the words on two lines...
  81. returns True
  82. returns True
  83. Scope of Variables in Python
  84. Set Methods in Python
  85. shape (3,) result = a + b # shape (3, 3)
  86. Shape: (2, 2, 2)
  87. Simple SELECT
  88. Slicing in Lists in Python
  89. so an expression with variables could be
  90. Standard function
  91. String Formatting in Python
  92. String Methods in Python
  93. String Operations in Python
  94. the playlist dictionary contains a list within it (songs), and that list contains a nested list (for multiple artists of each song).
  95. This is a heading
  96. Try the function with good input
  97. Tuple Methods in Python
  98. User inputs city
  99. Using filter to get even numbers
  100. Using Functions to Calculate Data
  101. Using In with Dictionaries in Python
  102. Using List Comprehension to Output Values
  103. Variables
  104. we can add a conditional check
  105. When to Use From and then Import with Modules in Python
  106. Working with Data in Python Cheat Sheet
  107. You can then access it with:
  108. You guessed it, the order is swapped.
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