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‎course_contents/1_intro/README.md

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### Greater than or equal to `>=`
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### Less than or equal to `<=`
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## Boolean values
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### True
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### False
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## Logical Operators
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### AND
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### OR

‎course_contents/1_intro/notes/01. Data Types.md

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### Variables
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- A variable is a symbolic type associated with a value.
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- A variable can be named anything, but it has some rules:
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1. It cannot start with an integer
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2. It cannot contain spaces
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3. It can only contain a symbol, which is the underscore
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Examples of variable names:
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- Correct:
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`response`
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`top500`
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`one_apple`
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`first_numbers`
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`_usernames`
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`_last_`
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`current_`
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- Wrong:
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`top 500`
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`one apple`
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`1st_numbers`
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`^last_`
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`$current`
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`response#`
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### Strings
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A string is a sequence of characters surrounded by both type of quotation marks:
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- Single quotes `''`
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- Double quotes `""`
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- Anything surrounded by these quotation marks indicate a string
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- Every opening quote must have a closing quote to form a string
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- If opening a string with a single quote, the closing quote must be a single quote as well
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Examples:
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- Correct:
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`"This is a sample string using double quotes"`
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`'This is a sample string using single quotes'`
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`'This is a normal string'`
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`'50 + 51'`
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- Wrong:
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`'This string will end here.' From here the continuation is not a string'`
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`'This is a wrong string"`
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`"Same as this one'`
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### Integers
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An integer is a whole number of any length that can be positive or negative, written without a fractional element.
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Example:
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`-1` `0` `1` `2` `3` `86400`
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### Floats
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A float is a number that can be positive or negative written with a fractional element.
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Example:
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`-100.54` `1.0` `59.1` `10.99`
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### Booleans
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Computers only understand binary — `1's` and `0's`.
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This way we can determine if a value is `True` or `False`.
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Strings, integers and other data types can indicate a boolean value.
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False data types:
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- Empty string: `''`
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- Empty list: `[]`
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- Zero int: `0`
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- Zero float: `'0.0'`
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True data types:
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- A non-empty string: `This string`
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- A list populated with at least one element: `[100, 55]`
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- An integer higher than zero: `1`
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- A float of which decimal number is higher than zero: `0.1`
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### Lists
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- A list is an ordered sequential data type
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- A list is used to store multiple elements in one place
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- A list is created by a pair of square brackets
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`shopping_list = ['cereals', 'milk', 'cherries']`
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`midterm_grades = [4, 9, 6, 6]`
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- A list can contain different data types
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`phone_numbers = ['james', 8067366796]`
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- Each element in a list holds a position (index) through which it can be accessed
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`shopping_list[0] # cereals`
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`shopping_list[1] # milk`
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`shopping_list[2] # cherries`
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- Elements in a list can be accessed in a range:
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`shopping_list[0:2] # ['cereals', 'milk']`
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- If the list is too big to count the elements, the last one can be accessed with a shortcut:
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`shopping_list[-1] # cherries`
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- A list can be reversed:
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`shopping_list[::-1] # ['cherries', 'milk', 'cereals']`
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### Tuples
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- A tuple is very much like a list, however:
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- A tuple is an ordered sequential data type which is **unchangeable**
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- A tuple is created by a sequence of elements separated by a comma
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- For better readability, it is surrounded by parenthesis
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Example:
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`shopping_list = 'apples', 'milk', 'cherries'`
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`midterm_grades = 4, 9, 6, 6`
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`phone_numbers = 'james', 8067366796`
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`better_readability = ('with', 'parenthesis')`
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### Sets
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- A set is an **unordered** sequential data type
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- A set's element cannot be accessed by its index
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- A set is created by a pair of curly brackets:
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`shopping_list = {'apples', 'milk', 'cherries'}`
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### Dictionaries

‎course_contents/1_intro/notes/boolean_values.md

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‎course_contents/1_intro/notes/data_types.md

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