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Revert "update"
This reverts commit ec73970. update
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‎course_contents/1_intro/notes/01. Data Types.md

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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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```
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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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```
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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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- Incorrect:
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```
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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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$current
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response#
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```
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`top 500`
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`one apple`
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`1st_numbers`
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`^last_`
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`$current`
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`response#`
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**Extra resources**
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- [What are variables?](https://python.tecladocode.com/1_age_program/2_variables.html#what-are-variables)
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### Strings
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A string is a sequence of characters surrounded by quotation marks:
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Single quotes `''` or Double quotes `""`
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- Single quotes `''`
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or
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- Double quotes `""`
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- Anything surrounded by the 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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```python
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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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```
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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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- Incorrect:
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```python
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'This string will end here.' From here the continuation is not a string'
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'This is an Incorrect string"
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"Same as this one'
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```
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`'This string will end here.' From here the continuation is not a string'`
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`'This is an Incorrect string"`
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`"Same as this one'`
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**Extra resources**
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- [Strings and numbers](https://python.tecladocode.com/1_age_program/1_strings_numbers.html)
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### Booleans
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In Python booleans are a bool data type having two values:
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```python
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True
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False
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```
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`True`
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`False`
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**Extra resources**
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- [Conditionals and Booleans](https://www.teclado.com/30-days-of-python/python-30-day-5-conditionals-booleans)
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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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```python
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shopping_list = ['cereals', 'milk', 'cherries']
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midterm_grades = [4, 9, 6, 6]
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```
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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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```python
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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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```
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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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**Extra resources**
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- [What is a list?](https://python.tecladocode.com/2_countries_visited/1_lists.html)
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Example:
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```python
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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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```
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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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**Extra resources**
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- [Basic Python Collections](https://www.teclado.com/30-days-of-python/python-30-day-4-lists-tuples)
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- The values can be any other data type
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Example:
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```python
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employees = {'ID': 16915, 'name': 'James', 'department': ['Sales', 'Accounting']}
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```
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```python
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employees = {
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'ID': 16915,
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'name': 'James',
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'department': ['Sales', 'Accounting']
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}
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employees = {'ID': 16915, 'name': 'James', 'department': ['Sales', 'Accounting']}
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```
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- A dictionary is accessed by keys as such:

‎course_contents/1_intro/notes/02. Arithmetic Operators.md

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## Addition `+`
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Correct uses:
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- The use with integers and floats:
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`44 + 19.5 # 63.5`
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- The use with strings (concatenation):
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`"My name is " + "James"`
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Incorrect uses:
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- Between strings and integers/floats:
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```python
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"The correct number is" + 5
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# TypeError: can only concatenate str (not "int") to str
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```
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`"The correct number is" + 5`
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`TypeError: can only concatenate str (not "int") to str`
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## Subtraction `-`
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- The use between integers/floats:
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`93.1 - 50`
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- The use between sets (return elements of set_1 that aren't in set_2):
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```python
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set_1 = {3, 6, 9, 7, 5}
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set_2 = {3, 6, 9, 95}
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```
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## Multiplication `*`
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- The arithmetic use:
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`8 * 5`
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- Multiplying data types:
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```python
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"Hello " * 2 # Hello Hello
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[100] * 2 # [100, 100]
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(100, 1) * 2 # (100, 1, 100, 1)
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```
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`"Hello " * 2 # Hello Hello `
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`[100] * 2 # [100, 100]`
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`(100, 1) * 2 # (100, 1, 100, 1)`
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## True Division `/`
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- The two operands will always result in a float using the `/` operator
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Example:
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`30.5 / 2` will result `15.5`
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`40 / 2` will result `20.0`
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## Floor Division `//`
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- Will always round the amount to the closest tenth
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- Will always round the amount to the closest tenth and result in an integer
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Example:
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`30.5 // 2` will result `15.0`
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`55 // 3`
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## Modulo `%`
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- It's based on the Euclidean division ([learn more](https://blog.teclado.com/pythons-modulo-operator-and-floor-division/))
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- Start with a **dividend** and a **divisor**
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- It's used to get the remainder between the two operands

‎course_contents/1_intro/notes/03. Comparison Operators.md

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Each comparison operator returns True or False
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### Equal `==`
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```python
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4 == 4 # True
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4 == 5 # False
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```
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`4 == 4 # True`
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`4 == 5 # False`
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- Can be used to check the truth value of an operand:
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```python
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4 is True # True
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4 is False # False
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0 is False # True
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```
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`4 is True # True`
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`4 is False # False`
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`0 is False # True`
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- Can be used to compare two strings or any other data type:
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```python
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"Hello" == "Hello" # True
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"Hello" == "HELLO" # False
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(100, 50) == 50 # False
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(100, 50) == (500, 219) # False
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```
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`"Hello" == "Hello" # True`
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`"Hello" == "HELLO" # False`
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`(100, 50) == 50 # False`
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`(100, 50) == (500, 219) # False`
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### Not equal `!=`
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- The opposite of `==`
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```python
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4 != 4 # False
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4 != 5 # True
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```
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`4 != 4 # False`
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`4 != 5 # True`
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### Greater than `>`
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`10 > 10 # False`

‎course_contents/1_intro/notes/06. Identity Operators.md

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- Return True if the operands have the same identity
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Example:
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```python
5+
```
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users = ['James', 'Charlie', 'Ana']
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print(id(users)) # 2425142160952
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- Returns True if the operands don't have the same identity
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Example:
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```python
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```
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users = ['James', 'Charlie', 'Ana']
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print(id(users)) # 2425142160952
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‎course_contents/1_intro/notes/07. Membership Operators.md

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Example:
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```python
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users = ['James', 'Charlie', 'Ana']
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print("Johnny" in users) # False
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print("Johnny" in users)
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```
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## NOT IN
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Example:
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```python
1515
users = ['James', 'Charlie', 'Ana']
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print("Johnny" not in users) # True
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print("Johnny" in users)
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```

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