prompter: In what version of python did dictionaries become ordered by default?

assistant: Python 3.7 introduced ordered dictionaries.
In previous versions of Python, dictionaries were unordered - the order of items was essentially random and not guaranteed.
From Python 3.7 onwards, dictionaries preserve insertion order by default - so the order you add keys/values to the dict will be retained when iterating etc.
This was done to aid predictability and avoid some performance pitfalls with assuming ordering and then having the dictionary reorganize its contents. The unordered nature of earlier Python dicts was partly for efficiency reasons.

prompter: I tried to import the library of Alexandria, but instead I got an error meesage? Know why that is?

assistant: As of Python 3.7 and later, dictionaries are ordered by default.

assistant: Python dictionaries are ordered since Python 3.6, when it was changed on a proposal by Raymond Hettinger, who is one of Python's core developers.

prompter: Can you give me an example code to show how dictionaries work?

assistant: Sure! Here's a basic example of how dictionaries work in Python:

# Creating a dictionary
my_dict = {"name": "John Doe", "age": 32, "city": "New York"}

# Accessing values in a dictionary
print(my_dict["name"]) # Output: "John Doe"
print(my_dict["age"]) # Output: 32

# Modifying values in a dictionary
my_dict["age"] = 33
print(my_dict["age"]) # Output: 33

# Adding a new key-value pair to the dictionary
my_dict["gender"] = "Male"
print(my_dict) # Output: {'name': 'John Doe', 'age': 33, 'city': 'New York', 'gender': 'Male'}

# Removing a key-value pair from the dictionary
del my_dict["city"]
print(my_dict) # Output: {'name': 'John Doe', 'age': 33, 'gender': 'Male'}

# Checking if a key exists in a dictionary
print("name" in my_dict) # Output: True
print("city" in my_dict) # Output: False

prompter: Can you break it down in step by step detail.

assistant: Certainly! Here's an example code to demonstrate how dictionaries work in Python:

</code>
# Creating a dictionary
person = {"name": "John", "age": 30, "city": "New York"}

# Accessing values in a dictionary
print(person["name"]) # Output: John
print(person["age"]) # Output: 30
print(person["city"]) # Output: New York

# Modifying values in a dictionary
person["age"] = 35
print(person["age"]) # Output: 35

# Adding a new key-value pair to the dictionary
person["country"] = "United States"
print(person) # Output: {'name': 'John', 'age': 35, 'city': 'New York', 'country': 'United States'}

# Removing a key-value pair from the dictionary
del person["city"]
print(person) # Output: {'name': 'John', 'age': 35, 'country': 'United States'}

# Looping through a dictionary
for key in person:
    print(key, ":", person[key])
# Output:
# name : John
# age : 35
# country : United States
</code>

prompter: Can I loop through the dictionary easier by grabbing both the key and the value at once in each iteration?

assistant: Of course. Here's some example code:

```python
# You can create dictionaries like this
employees = { 1: "Alice", 2: "Bob", 3: "Charles"}

# Dictionaries always have keys and values. One key maps to one value
print(employees[2]) # Bob

# You can set new key/value-pairs
employees[4] = "Dorian"

# You can overwrite values
employess[1] = "Anthony"

# You can delete key/value-pairs
del employees[4]

# You can choose any object as key and and any object as value
capital_city = { "Germany": "Berlin", "France": "Paris", "Brazil": "Brasilia"}

# You can iterate over the keys in a dictionary
for dict_key in capital_city:
    print(dict_key) # Germany, France, Brazil
```

These are of course just basic examples. I can give more advanced examples, especially if you suggest a use case.

prompter: Give me a couple more advanced examples with enough comments to understand them