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What is Python Programming?

  • What is Python Defined as?
  • What is the basic concept of Python Programming?
  • Variables
  • Control Flow
  • Loops
  • Functions
  • Modules and Libraries
  • Object-Oriented Programming (OOP)
  • Error Handling
  • What Exactly is Python Used For?
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Install Python On Mac OS

  • Downloading Python
  • Verifying the Installation
  • How to Install Python through Mac terminal?
  • Installing Homebrew
  • Installing Python Using Homebrew
  • Verifying the Python Installation
  • Running Python Code
  • Choosing a Code Editor
  • Installing Visual Studio Code
  • Setting Up Extensions
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Install Python On Windows

  • Step 1: Downloading Python
  • Step 2: Running The Installer
  • Step 3: Customizing the Installation (Optional)
  • Step 4: Completing the Installation
  • Step 5: Verifying the Installation
  • Installing Visual Studio Code
  • Installing the Python Extension in VS Code
  • Configuring Python Interpreter in VS Code
  • Creating a Python Virtual Environment
  • Managing Python Packages with Pip
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Install Python On Ubuntu

  • Step 1: Update System Packages
  • Step 2: Install Python
  • Step 3: Installing Additional Tools (Optional)
  • Installing pip
  • Installing Virtualenv
  • Step 4: Testing the Installation
  • Install Python on Ubuntu Using pyenv
  • Step 1: Install Dependencies
  • Step 2: Install pyenv
  • Step 3: Configure pyenv
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Install Python On Centos 7 & 8

  • Install Python On Centos 7 & 8
  • Installing Required Dependencies
  • Downloading the Python Installation Package
  • Extracting and Navigating to the Python Directory
  • Configuring Python Build Options
  • Compiling and Installing Python
  • Verifying the Python Installation
  • Setting Up Environment Variables for Python
  • Testing Python with a Simple Script
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Python Syntax

  • What is the Syntax for Python?
  • Is Python Syntax Easy?
  • Understanding Python Identifiers
  • Naming Rules
  • Best Practices for Choosing Identifiers
  • Reusing and Modifying Identifiers
  • Why Whitespace and Indentation Matter
  • Understanding String Literals
  • I. Greeting a Celebrity
  • II. Formatting a Location
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Python Variables

  • How to Declare variable in Python?
  • Why Does Python Use Variables?
  • Variable Naming in Python
  • Camel Case or Underscores
  • What Are Python Variable Types?
  • Numeric Variables
  • String Variables
  • Boolean Variables
  • List Variables
  • Dictionary Variables
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Python Data Types

  • What are data types in Python?
  • What are Numeric Data Types?
  • I. Integers (int)
  • II. Floating-Point Numbers (float)
  • What is a String Data Type?
  • What is a Boolean Data Type?
  • Sequence Data Types
  • I. Lists
  • II. Tuples
  • III. Range
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Python Numbers

  • What are Python numbers?
  • I. Integers
  • II. Floating-Point Numbers
  • III. Complex Numbers
  • Underscores in Numbers
  • Python Random Numbers
  • How do you write 10 3 in Python?
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Python Strings

  • How to Create a Python String?
  • Understanding String Immutability
  • Python Strings Indexing
  • Negative Indices
  • Understanding String Length
  • Python String Slicing to Extract Substrings
  • Understanding String Concatenation
  • Exploring String Repetition
  • Mixing Concatenation and Repetition
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Python Boolean

  • What is a Boolean in Python?
  • How do you create a Boolean in Python?
  • Performing Boolean Operations
  • Logical AND (and)
  • Logical OR (or)
  • Logical NOT (not)
  • Making Decisions with Conditional Statements
  • Comparing Values with Comparison Operators
  • Equal to ==
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Python Constants

  • What are Constants in Python?
  • Why Use Constants?
  • I. How to Define a Python Constant?
  • II. How do naming conventions for constants differ from other variables?
  • III. How does immutability impact the behavior of constants?
  • IV. How to Use Constants for Magic Numbers?
  • V. How to Create Constants in Different Scopes?
  • Global Constants vs. Local Constants
  • I. Avoiding Mutable Constants in Python
  • II. How to Use Python Constants in Class Definitions
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Python List

  • Python List syntax
  • What is list() function in Python?
  • How to create Python list?
  • I. Accessing List Elements
  • II. Modifying List Elements
  • III. Adding Elements to the End - using append()
  • IV. Inserting Elements at a Specific Position
  • Sorting Python List Elements
  • I. Sorting a List in Ascending Order
  • II. Sorting a List in Descending Order
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Python List Iteration

  • The Basics: Looping through a List
  • List Comprehensions: A Concise Approach
  • Conditional Iteration: Filtering with Ease
  • Enumerating: Keeping Track of Indices
  • Common Mistakes and Pitfalls with Lists
  • Modifying a List While Iterating Over It
  • Forgetting to Initialize an Empty List
  • Mixing Up List Methods
  • Comparing Lists with the Equality Operator
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Python List Methods

  • I. List append() Method
  • II. List extend() Method
  • III. List insert() Method
  • IV. List remove() Method
  • V. List pop() Method
  • VI. List index() Method
  • VII. List count() Method
  • VIII. List sort() Method
  • IX. List reverse() Method
  • X. List copy() Method
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Python List append() Method

  • What is the Use of append() Function in List?
  • List append() Syntax and Parameters
  • How Python List append() works?
  • I. Adding a Single Element to a List with append()
  • II. Adding Multiple Elements to a List Using a Loop
  • III. Appending Lists to Another List
  • IV. Modifying a List In-Place with append()
  • V. Combining append() with Other List Methods
  • VI. Handling Different Data Types with append()
  • VII. Appending Objects and Custom Classes to a List
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Python List Extend() Method

  • What is the Use of extend() Function in List?
  • Purpose and Functionality of extend()
  • Syntax and Parameters of extend()
  • Extending a List with Another List Using extend()
  • Merging Multiple Lists Using extend()
  • Combining Lists with extend() and + Operator
  • Handling Different Data Types with extend()
  • Extending a List with Iterable Objects
  • Extending a List with Values from a Range
  • Extending Lists with Objects and Custom Classes
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Python List insert() Method

  • Purpose and Functionality of insert()
  • Python List insert Syntax and Parameters
  • Inserting an Element at a Specific Index Using insert()
  • Inserting Multiple Elements at Different Positions
  • Handling Negative Indexing with insert()
  • Use of insert() to Maintain Sorted Lists
  • Inserting Elements in a Sorted Manner
  • Handling Different Data Types with insert()
  • Inserting Objects and Custom Classes into a List
  • Handling Out-of-Range Indices and Bounds
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Python List remove() Method

  • Purpose and Functionality of remove()
  • Syntax and Parameters of list remove()
  • Removing a Single Element from a List
  • Removing Multiple Elements from a List
  • Removing All Elements from a List
  • Removing a List from Another List
  • Python List remove() with index
  • Removing an Element by Index
  • Using Conditional Statements with Python list remove()
  • I. Removing Odd Numbers
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Python List pop() Method

  • Purpose and Functionality of pop()
  • Python List pop() Syntax and Parameters
  • What does the pop() method do?
  • Understanding the Return Value of pop()
  • Removing and Returning the Last Element of a List
  • Removing and Returning an Element at a Specific Index
  • Handling Empty Lists with pop()
  • Using Negative Indices with pop()
  • Using Conditional Statements with pop()
  • Common Mistakes and Pitfalls to Avoid
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Python List index() Method

  • Python List index() Syntax and Parameters
  • Purpose and Functionality of index() Method
  • Python List index() Return Value
  • Find the First Occurrence of an Element
  • Searching for Multiple Occurrences with index() Method
  • Utilizing Python list index() with Sublists
  • Using the index() Method with Custom Objects
  • Common Mistakes and Pitfalls to Avoid
  • I. Element Not Found Error
  • II. Finding Multiple Occurrences
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Python List count() Method

  • Python List count() Syntax and Parameters
  • Purpose and Functionality of count() Method
  • Exploring the Return Value of the count() Method
  • Counting Occurrences of an Element in a List
  • Counting Multiple Occurrences of Elements in a List
  • Counting Occurrences of All Elements in a List
  • Utilizing the count() Method with Sublists
  • Handling Different Data Types with the count() Method
  • Using the count() Method with Custom Objects
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Python Sorting List – Sort() Method

  • Python sort() Syntax and Parameters
  • Purpose and Functionality of Python sort() Method
  • Python Sorting a List in Ascending Order
  • Python Sorting a List in Descending Order
  • Python Sorting Lists with Key Functions
  • Python Sorting Lists with Custom Sorting Functions
  • Python Sorting Lists of Different Data Types
  • Reversing a Sorted List
  • Modifying the Original List vs. Creating a Sorted Copy
  • Handling None and Non-Comparable Elements in Lists
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Python List reverse() Method

  • Python List reverse() Syntax and Parameters
  • Purpose and Functionality of reverse() Method
  • Reversing a List in Place
  • Accessing Elements in Reversed Order
  • How do you reverse a list in Python without the reverse() function?
  • Modifying the Original List vs. Creating a Reversed Copy
  • Modifying the Original List
  • Creating a Reversed Copy
  • Reversing Sublists within a List
  • Reversing Lists of Different Data Types
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Python List copy() Method

  • Python List copy() Syntax and Parameters
  • Purpose and Functionality of Python list copy() Method
  • I. Duplicating a List of Famous Cities
  • II. Adding a Celebrity Guest List
  • III. Using the Slice Operator for List Copying
  • IV. Applying the list() Constructor for List Copying
  • V. Leveraging the copy Module for List Copying
  • VI. Creating a Deep Copy of a List
  • VII. Deep Copy and Mutable Objects
  • Common Mistakes to Avoid when Using the copy() Method
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Python List clear() Method

  • Python List clear() Syntax and Parameters
  • Why Clearing a List is Important?
  • How do you clear a list in Python?
  • I. Clearing a List with clear()
  • II. Clearing a List Using Slicing
  • III. Clearing a List with List Comprehension
  • IV. Clearing a List of Nested Lists
  • Common Mistakes to Avoid with the clear() Method
  • I. Incorrect Syntax
  • II. Forgetting to Assign the Cleared List
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Python If…Elif…Else Statements

  • Python If Syntax and Structure
  • How If Statements Works in Python?
  • Python If Comparison Operators and Logical Expressions
  • Using If-Else Statements for Alternative Execution Paths
  • Nested If Statements: Adding Complexity to Conditionals
  • What is a Elif statement in Python?
  • Syntax and Structure of Elif Statements
  • Using Elif Statements
  • Chained Comparisons: Simplifying If Statements
  • Syntax and Structure of Chained Comparisons
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Python For Loop

  • Python For Loop Syntax and Structure
  • Python For loop (Iterating Over a Sequence)
  • Accessing Elements in a List or Tuple
  • Iterating Over a String
  • Iterating Over a Range of Numbers
  • Using 'in' Keyword for Iteration
  • Looping Through a Dictionary
  • Enumerating Items in a Sequence
  • Skipping Iteration with Continue Statement
  • Breaking out For Loop with Break Statement
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Python While Loop

  • What are While Loops in Python?
  • Python While loop Syntax and Structure
  • Python While Loop Basic Execution
  • Controlling Loop Execution with Conditions
  • Using Variables in Loop Conditions
  • Modifying Variables within a While Loop
  • Looping Until a Condition Is False
  • Exiting a Loop with the Break Statement
  • Skipping Iteration with the Continue Statement
  • Pass Statement In While Loop
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Python Tuples

  • Python Tuple Element Types
  • Creating and Defining Tuples
  • Accessing Elements in a Tuple
  • Indexing and Slicing Tuples
  • I. Indexing Tuples
  • II. Slicing Tuples
  • Immutable Nature of Tuples
  • Python Tuple Packing and Unpacking
  • Tuple Comparison and Sorting: Finding Order in Tuples
  • I. Tuple Comparison: Who's Greater?
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Python Sets

  • Why use Python sets?
  • I. Creating A Set
  • II. Adding Elements to a Set
  • III. Accessing Elements in a Set
  • IV. Removing Elements from a Set
  • V. Modifying Elements in a Set
  • VI. Removing Duplicates from a List Using Sets
  • Python Sets Operations
  • I. Python Set Union
  • II. Python Set Intersection
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Python Set Methods

  • I. Set.add()
  • II. Set.copy()
  • III. Set.clear()
  • IV. Set.difference()
  • V. Set.difference_update()
  • VI. Set.discard()
  • VII. Set.intersection()
  • VIII. Set.intersection_update()
  • IX. Set.isdisjoint()
  • X. Set.issubset()
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Python set add() Method

  • What is the Purpose of Python set add()?
  • Python set add() Syntax and Parameters
  • How does set add work in Python?
  • I. Adding a Single Element to a Set
  • II. Adding Numbers to a Set
  • III. Adding Strings to a Set
  • IV. Adding Mixed Data Types to a Set
  • V. Adding Variables to a Set
  • VI. Adding Constants to a Set
  • VII. Adding Elements in a Loop
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Python set copy() Method

  • What is the Purpose of Set copy() Method?
  • Python set copy() Syntax and Parameters
  • How does set copy works in Python?
  • I. Creating a Copy of a Set
  • II. Modifying the Original Set after Copying
  • III. Copying a Set to Another Set
  • IV. Modifying the Copied Set without Affecting the Original
  • V. Copying a Set with Mixed Data Types
  • VI.¬†Assigning a Copied Set to a New Variable
  • VII. Copying a Set with Nested Elements
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Python set clear() Method

  • What is the Purpose of the clear() Method?
  • Python set clear() Syntax and Parameters
  • I. Clearing a Set: Removing All Elements
  • II. Modifying the Set after Clearing
  • III. Clearing an Empty Set
  • IV. Clearing Sets with Mixed Data Types
  • Common Mistakes and Pitfalls to Avoid
  • I. Forgetting to call the clear() method
  • II. Reassigning the set without clearing it
  • III. Confusing clear() with remove() or discard()
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Python set difference() Method

  • What is the Purpose of the difference() Method?
  • Python set difference() Syntax and Parameters
  • How does difference() work?
  • I. Computing the Difference Between Sets
  • II. Finding the Difference Between Two Sets
  • III. Finding the Difference Between Multiple Sets
  • IV. Modifying Original Sets after Calculating the Difference
  • V. Handling Sets with Different Data Types
  • VI. Handling Empty Sets in difference()
  • VII. Using difference() with FrozenSets
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Python Set difference_update() Method

  • What is the Purpose of the difference_update()?
  • Python Set difference_update() Syntax and Parameters
  • Python Set difference_update() Examples
  • I. Updating Original Set with difference_update()
  • II. Updating a Set with the Difference of Two Sets
  • III. Updating a Set with the Difference of Multiple Sets
  • IV. Difference Update with Empty Sets
  • V. Handling Sets with Different Data Types
  • VI. Performing Difference Update with FrozenSets
  • Common Mistakes and Pitfalls to Avoid
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Python set discard() Method

  • What is the Purpose of the discard() Method?
  • Python set discard() Syntax and Parameters
  • I. Removing an Element from a Set
  • II.¬†Modifying the Set after Discarding an Element
  • III. Handling Multiple Occurrences of an Element
  • IV. Discarding Non-existing Elements
  • V. Discarding Elements with Different Data Types
  • VI. Discarding Elements in a Loop
  • Common Mistakes and Pitfalls to Avoid
  • I. Forgetting to Check if an Element Exists
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Python Set Intersection() Method

  • What is the Purpose of Python Set intersection()?
  • Python set intersection() Syntax and Parameters
  • How do you find the intersection in Python?
  • I. Finding the Intersection of Two Sets
  • II. Finding the Intersection of Multiple Sets
  • III. Modifying the Original Sets after Calculating the Intersection
  • IV. Handling Empty Sets in intersection()
  • V. Handling Sets with Different Data Types
  • VI. Intersection with FrozenSets
  • Common Mistakes and Pitfalls to Avoid
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Python set intersection_update() Method

  • What is the Purpose of Python set intersection_update()?
  • Python set intersection_update() Syntax and Parameters
  • I. Updating Original Set with intersection_update()
  • II. Updating a Set with the Intersection of Two Sets
  • III. Updating a Set with the Intersection of Multiple Sets
  • IV. Handling Sets with Different Data Types
  • V. Performing Intersection Update with FrozenSets
  • Common Mistakes and Pitfalls to Avoid
  • I. Incorrect Method Usage
  • II. Not Converting Data Types
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