add notes for Python for Data Science, AI, and Development

_posts/2022-06-21-toc-for-devops-and-cloud.md

@@ -55,8 +55,8 @@ published: true
 
 ### **7) Python for Data Science, AI, and Development[^8]**
 
-1. [Python Programming Fundamentals]
-2. [Python Data Structures]
+1. [Python Programming Fundamentals](/posts/python-programming-fundamentals)
+2. [Python Data Structures](/posts/python-data-structures)
 
 ## References
 

_posts/2023-09-23-python-data-structures.md

@@ -0,0 +1,140 @@
+---
+author: [abuturab, admin]
+title: "Python Data Structures"
+date: 2023-09-23 09:49:00 +0500
+tags: ['IBM DevOps and SE/Python for Data Science, AI, and Development']
+category: ['My Notes', 'DevOps and Cloud']
+img_path: /assets/notes
+image:
+  path: python-for-ds-ai-and-development.jpeg
+  alt: 'Credits: Image by pressfoto on Freepik'
+published: true
+---
+
+## **Tuples**
+
+- Tuples are an ordered sequence
+- Here is a Tuple “Ratings”
+- Tuples are written as comma-separated elements within parentheses
+- Tuples concatenation is possible
+- Tuple slicing is also possible
+- Tuples are immutable
+- If one want to manipulate tuples, they have to create a new tuple with the desired values
+- **Tuples nesting** (tuple containing another tuple) is also possible
+
+  ```py
+  Ratings = (10, 9, 6, 5, 10, 8, 9, 6, 2)
+  ```
+
+  ![Python data Structures](Python%20Data%20Structures.png){: w="650" h="350"}
+
+  ![Python data Structures](Python%20Data%20Structures-1.png){: w="650" h="350"}
+
+  ![Python data Structures](Python%20Data%20Structures-2.png){: w="650" h="350"}
+
+  ![Python data Structures](Python%20Data%20Structures-3.png){: w="650" h="350"}
+
+  ![Python data Structures](Python%20Data%20Structures-4.png){: w="650" h="350"}
+
+  ![Python data Structures](Python%20Data%20Structures-5.png){: w="650" h="350"}
+
+## **Lists**
+
+- Lists are also ordered in sequence
+- Here is a List “L”
+
+  ```py
+  L = ["Michael Jackson", 10.1, 1982]
+  ```
+
+- A List is represented with square brackets
+- List is **mutable**
+- List can nest other lists and tuples
+- We can combine lists
+- List can be extended with `extend()` method
+- `append.()` adds only one element to the List, if we append `L.append([1,2,3,4]`, the List “L” will be:
+  
+  ```py
+  L = ["Michael Jackson", 10.1, 1982,[1,2,3,4]]
+  ```
+
+- The method `split()` can convert the string into the List
+  
+  ```py
+  "Hello, World!".split()
+  ```
+
+- The `split()` can be used with a delimiter we would like to split on as an argument
+  
+  ```py
+  "A,B,C,D".split(",")
+  ```
+
+- Multiple names referring to the same object is known as **aliasing**
+  
+![Python data Structures](Python%20Data%20Structures-6.png){: w="650" h="350"}
+
+- We can clone the list, where both lists will be of their independent copies
+- So changing List “A”, will not change List “B”
+  
+![Python data Structures](Python%20Data%20Structures-7.png){: w="650" h="350"}
+
+## Dictionaries
+  
+![Python data Structures](Python%20Data%20Structures-8.png){: w="650" h="350"}
+
+- Dictionaries are denoted with curly Brackets {}
+- The keys have to be immutable and unique
+- The values can be immutable, mutable and duplicates
+- Each key and value pair is separated by a comma
+  
+![Python data Structures](Python%20Data%20Structures-9.png){: w="650" h="350"}
+
+## Sets
+
+- Sets are a type of collection
+  - This means that like lists and tuples you can input different python types
+- Unlike lists and tuples they are unordered
+  - This means sets don’t record element position
+- Sets only have unique elements
+  - This means there is only one of a particular element in a set
+
+### Sets: Creating a Set
+  
+![Python data Structures](Python%20Data%20Structures-10.png){: w="650" h="350"}
+
+- You can convert a list into set
+  
+  ```py
+  List = ['foo']
+  set(List)
+  ```
+
+- To add elements to the set, `set.add('foo')`
+- To remove an element, `set.remove(‘foo’)`
+- To check if an element is present in the set:
+  
+  ```py
+  'foo' in set
+  True/False
+  ```
+
+### Sets: Mathematical Expression
+
+- To find the intersection of the sets elements present in the both sets), `set1 & set2` or `set1.intersetion(set2)`
+
+![Python data Structures](Python%20Data%20Structures-11.png){: w="650" h="350"}
+
+- Union of the sets, contain elements of both the sets combined, `set1.union(set2)`
+- To find the difference of sets:
+
+  ```py
+  #set1 difference from set2
+  set1.difference(set2)
+  #set2 difference from set 1
+  set2.difference(set1)
+  ```
+
+![Python data Structures](Python%20Data%20Structures-12.png){: w="650" h="350"}
+
+- To find is a set is a subset/superset (have all the elements of other set), `set1.issubset/issuperset(set2)

_posts/2023-09-23-python-programming-fundamentals.md

@@ -0,0 +1,20 @@
+---
+author: [abuturab, admin]
+title: "Python Programming Fundamentals"
+date: 2023-09-23 08:49:00 +0500
+tags: ['IBM DevOps and SE/Python for Data Science, AI, and Development']
+category: ['My Notes', 'DevOps and Cloud']
+img_path: /assets/notes
+image:
+  path: python-for-ds-ai-and-development.jpeg
+  alt: 'Image by pressfoto on Freepik'
+published: true
+---
+
+## **Logic Operators: OR**
+
+![Python Programming Fundamentals](Python%20Programming%20Fundamentals.png){: w="650" h="350"}
+
+## **Logic Operators: AND**
+
+![Python Programming Fundamentals](Python%20Programming%20Fundamentals-1.png){: w="650" h="350"}