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Merge pull request #230 from yashd-dev/master
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4f44c24030
@ -134,7 +134,7 @@
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- Lists are created using square brackets:
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- Lists are created using square brackets:
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```py
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```python
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thislist = ["apple", "banana", "cherry"]
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thislist = ["apple", "banana", "cherry"]
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```
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```
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@ -147,18 +147,31 @@ thislist = ["apple", "banana", "cherry"]
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- To determine how many items a list has, use the `len()` function.
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- To determine how many items a list has, use the `len()` function.
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- A list can contain different data types:
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- A list can contain different data types:
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```py
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```python
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list1 = ["abc", 34, True, 40, "male"]
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list1 = ["abc", 34, True, 40, "male"]
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```
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```
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- It is also possible to use the list() constructor when creating a new list
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- It is also possible to use the list() constructor when creating a new list
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```py
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```python
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thislist = list(("apple", "banana", "cherry")) # note the double round-brackets
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thislist = list(("apple", "banana", "cherry")) # note the double round-brackets
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```
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```
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- pop() function removes the last value in the given list by default.
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```python
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thislist = ["apple", "banana", "cherry"]
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print(thislist.pop())# cherry
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print(thislist.pop(0)) #apple
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```
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### Tuple
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### Tuple
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- Tuple is a collection which is ordered and unchangeable. Allows duplicate members.
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- Tuple is a collection which is ordered and unchangeable. Allows duplicate members.
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- A tuple is a collection which is ordered and unchangeable.
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- A tuple is a collection which is ordered and unchangeable.
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- Tuples are written with round brackets.
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- Tuples are written with round brackets.
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```py
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```python
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thistuple = ("apple", "banana", "cherry")
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thistuple = ("apple", "banana", "cherry")
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```
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```
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- Tuple items are ordered, unchangeable, and allow duplicate values.
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- Tuple items are ordered, unchangeable, and allow duplicate values.
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@ -168,16 +181,16 @@ thistuple = ("apple", "banana", "cherry")
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- Tuples are unchangeable, meaning that we cannot change, add or remove items after the tuple has been created.
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- Tuples are unchangeable, meaning that we cannot change, add or remove items after the tuple has been created.
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- Since tuple are indexed, tuples can have items with the same value:
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- Since tuple are indexed, tuples can have items with the same value:
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- Tuples allow duplicate values:
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- Tuples allow duplicate values:
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```py
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```python
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thistuple = ("apple", "banana", "cherry", "apple", "cherry")
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thistuple = ("apple", "banana", "cherry", "apple", "cherry")
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```
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```
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- To determine how many items a tuple has, use the `len()`function:
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- To determine how many items a tuple has, use the `len()`function:
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```py
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```python
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thistuple = ("apple", "banana", "cherry")
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thistuple = ("apple", "banana", "cherry")
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print(len(thistuple))
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print(len(thistuple))
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```
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```
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- To create a tuple with only one item, you have to add a comma after the item, otherwise Python will not recognize it as a tuple.
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- To create a tuple with only one item, you have to add a comma after the item, otherwise Python will not recognize it as a tuple.
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```py
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```python
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thistuple = ("apple",)
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thistuple = ("apple",)
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print(type(thistuple))
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print(type(thistuple))
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@ -186,7 +199,7 @@ thistuple = ("apple")
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print(type(thistuple))
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print(type(thistuple))
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```
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```
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- It is also possible to use the tuple() constructor to make a tuple.
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- It is also possible to use the tuple() constructor to make a tuple.
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```py
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```python
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thistuple = tuple(("apple", "banana", "cherry")) # note the double round-brackets
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thistuple = tuple(("apple", "banana", "cherry")) # note the double round-brackets
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print(thistuple)
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print(thistuple)
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@ -195,7 +208,7 @@ print(thistuple)
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### Set
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### Set
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- Set is a collection which is unordered and unindexed. No duplicate members.
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- Set is a collection which is unordered and unindexed. No duplicate members.
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- A set is a collection which is both unordered and unindexed.
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- A set is a collection which is both unordered and unindexed.
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```py
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```python
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thisset = {"apple", "banana", "cherry"}
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thisset = {"apple", "banana", "cherry"}
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```
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```
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- Set items are unordered, unchangeable, and do not allow duplicate values.
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- Set items are unordered, unchangeable, and do not allow duplicate values.
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@ -206,27 +219,38 @@ thisset = {"apple", "banana", "cherry"}
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- Sets are unchangeable, meaning that we cannot change the items after the set has been created.
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- Sets are unchangeable, meaning that we cannot change the items after the set has been created.
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- Duplicate values will be ignored.
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- Duplicate values will be ignored.
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- To determine how many items a set has, use the `len()` method.
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- To determine how many items a set has, use the `len()` method.
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```py
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```python
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thisset = {"apple", "banana", "cherry"}
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thisset = {"apple", "banana", "cherry"}
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print(len(thisset))
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print(len(thisset))
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```
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```
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- Set items can be of any data type:
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- Set items can be of any data type:
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```py
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```python
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set1 = {"apple", "banana", "cherry"}
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set1 = {"apple", "banana", "cherry"}
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set2 = {1, 5, 7, 9, 3}
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set2 = {1, 5, 7, 9, 3}
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set3 = {True, False, False}
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set3 = {True, False, False}
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set4 = {"abc", 34, True, 40, "male"}
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set4 = {"abc", 34, True, 40, "male"}
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```
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```
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- It is also possible to use the `set()` constructor to make a set.
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- It is also possible to use the `set()` constructor to make a set.
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```py
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```python
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thisset = set(("apple", "banana", "cherry")) # note the double round-brackets
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thisset = set(("apple", "banana", "cherry")) # note the double round-brackets
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```
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```
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- frozenset() is just an immutable version of Set. While elements of a set can be modified at any time, elements of the frozen set remain the same after creation.
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```python
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set1 = {"apple", "banana", "cherry"}
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frzset=frozenset(set1)
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print(frzset)
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```
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### Dictionary
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### Dictionary
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- Dictionary is a collection which is unordered and changeable. No duplicate members.
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- Dictionary is a collection which is unordered and changeable. No duplicate members.
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- Dictionaries are used to store data values in key:value pairs.
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- Dictionaries are used to store data values in key:value pairs.
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- Dictionaries are written with curly brackets, and have keys and values:
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- Dictionaries are written with curly brackets, and have keys and values:
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```py
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```python
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thisdict = {
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thisdict = {
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"brand": "Ford",
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"brand": "Ford",
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"model": "Mustang",
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"model": "Mustang",
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}
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}
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```
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```
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- Dictionary items are presented in key:value pairs, and can be referred to by using the key name.
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- Dictionary items are presented in key:value pairs, and can be referred to by using the key name.
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```py
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```python
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thisdict = {
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thisdict = {
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"brand": "Ford",
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"brand": "Ford",
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"model": "Mustang",
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"model": "Mustang",
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@ -246,11 +270,11 @@ print(thisdict["brand"])
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- Dictionaries cannot have two items with the same key.
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- Dictionaries cannot have two items with the same key.
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- Duplicate values will overwrite existing values.
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- Duplicate values will overwrite existing values.
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- To determine how many items a dictionary has, use the `len()` function.
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- To determine how many items a dictionary has, use the `len()` function.
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```py
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```python
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print(len(thisdict))
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print(len(thisdict))
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```
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```
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- The values in dictionary items can be of any data type
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- The values in dictionary items can be of any data type
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```py
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```python
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thisdict = {
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thisdict = {
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"brand": "Ford",
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"brand": "Ford",
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"electric": False,
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"electric": False,
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}
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}
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```
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```
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- pop() Function is used to remove a specific value from a dictionary. You can only use key bot the value. Unlike Lists you have to give a value to this function
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```python
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car = {
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"brand": "Ford",
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"model": "Mustang",
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"year": 1964
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}
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x = car.pop("model")
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print(x)# Mustang
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print(car)#{'brand': 'Ford', 'year': 1964}
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```
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### Conditional branching
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### Conditional branching
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```py
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```python
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if condition:
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if condition:
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pass
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pass
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elif condition2:
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elif condition2:
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@ -278,7 +319,7 @@ thisdict = {
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#### While loop
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#### While loop
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- With the `while` loop we can execute a set of statements as long as a condition is true.
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- With the `while` loop we can execute a set of statements as long as a condition is true.
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- Example: Print i as long as i is less than 6
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- Example: Print i as long as i is less than 6
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```py
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```python
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i = 1
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i = 1
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while i < 6:
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while i < 6:
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print(i)
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print(i)
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- This is less like the for keyword in other programming languages, and works more like an iterator method as found in other object-orientated programming languages.
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- This is less like the for keyword in other programming languages, and works more like an iterator method as found in other object-orientated programming languages.
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- With the for loop we can execute a set of statements, once for each item in a list, tuple, set etc.
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- With the for loop we can execute a set of statements, once for each item in a list, tuple, set etc.
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```py
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```python
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fruits = ["apple", "banana", "cherry"]
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fruits = ["apple", "banana", "cherry"]
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for x in fruits:
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for x in fruits:
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print(x)
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print(x)
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@ -310,7 +351,7 @@ A nested loop is a loop inside a loop.
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- The "inner loop" will be executed one time for each iteration of the "outer loop":
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- The "inner loop" will be executed one time for each iteration of the "outer loop":
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```py
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```python
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adj = ["red", "big", "tasty"]
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adj = ["red", "big", "tasty"]
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fruits = ["apple", "banana", "cherry"]
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fruits = ["apple", "banana", "cherry"]
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```
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```
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- for loops cannot be empty, but if you for some reason have a for loop with no content, put in the pass statement to avoid getting an error.
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- for loops cannot be empty, but if you for some reason have a for loop with no content, put in the pass statement to avoid getting an error.
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```py
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```python
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for x in [0, 1, 2]:
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for x in [0, 1, 2]:
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pass
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pass
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```
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```
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### Function definition
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### Function definition
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```py
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```python
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def function_name():
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def function_name():
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return
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return
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```
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```
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### Function call
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### Function call
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```py
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```python
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function_name()
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function_name()
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```
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```
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