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Curso python udemy
Cheatsheet: Data Types
- Integers are used to represent whole numbers:
rank = 10 eggs = 12 people = 3
- Floats represent decimal numbers:
temperature = 10.2 rainfall = 5.98 elevation = 1031.88
- Strings represent text:
message = "Welcome to our online shop!" name = "John" serial = "R001991981SW"
- Lists represent arrays of values that may change during the course of the program:
members = ["Sim Soony", "Marry Roundknee", "Jack Corridor"] pixel_values = [252, 251, 251, 253, 250, 248, 247]
- Dictionaries represent pairs of keys and values:
phone_numbers = {"John Smith": "+37682929928", "Marry Simpons": "+423998200919"} volcano_elevations = {"Glacier Peak": 3213.9, "Rainer": 4392.1}
- Keys of a dictionary can be extracted with:
phone_numbers.keys()
- Values of a dictionary can be extracted with:
phone_numbers.values()
- Tuples represent arrays of values that are not to be changed during the course of the program:
vowels = ('a', 'e', 'i', 'o', 'u') one_digits = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9)
- You can get a list of attributes of a data type has using:
dir(str) dir(list) dir(dict)
- You can get a list of Python builtin functions using:
dir(__builtins__)
- You can get the documentation of a Python data type using:
help(str) help(str.replace) help(dict.values)