Python Programming From A-Z: Beginner To Expert Course → 4. Anaconda and Jupyter Notebooks Part 2

Section 1: Introduction to Python Programming from A-Z 8
- Lecture1.1
  
  1. Intro To Python Section Overview
  06 min
- Lecture1.2
  
  2. What is Python Programming?
  11 min
- Lecture1.3
  
  3. Who is This Course For?
  05 min
- Lecture1.4
  
  4. Python Programming Marketplace
  06 min
- Lecture1.5
  
  5. Python Job Opportunities
  05 min
- Lecture1.6
  
  6. How to Land a Python Job w/o a Degree
  09 min
- Lecture1.7
  
  7. Python Programmer Job Roles
  09 min
- Lecture1.8
  
  Downloadable Resources
  20 min
Section 2: Getting Familiar with Python 11
- Lecture2.1
  
  1. Getting Familiar with Python Overview
  06 min
- Lecture2.2
  
  2. Installing Python on Windows
  10 min
- Lecture2.3
  
  3. Anaconda and Jupyter Notebooks Part 1
  08 min
- Lecture2.4
  
  4. Anaconda and Jupyter Notebooks Part 2
  17 min
- Lecture2.5
  
  5.Python Syntax
  03 min
- Lecture2.6
  
  6. Python Line Structure
  03 min
- Lecture2.7
  
  7. Line Structure Exercise
- Lecture2.8
  
  8. Python Comments
  06 min
- Lecture2.9
  
  9. Joining Lines in Python
  05 min
- Lecture2.10
  
  10. Working with Multiple Statement on a Single Line
  05 min
- Lecture2.11
  
  11. Indentation
  08 min
Section 3: Python Basic Data Types 10
- Lecture3.1
  
  1. Python Basic Data Types Overview
  09 min
- Lecture3.2
  
  2. Python Variables
  09 min
- Lecture3.3
  
  3. Integers and Floats
  09 min
- Lecture3.4
  
  4. String Overview
  10 min
- Lecture3.5
  
  5. String Manipulation
  08 min
- Lecture3.6
  
  6. String Indexing
  05 min
- Lecture3.7
  
  7. String Slicing
  09 min
- Lecture3.8
  
  8. Working with Boolean
  09 min
- Lecture3.9
  
  9. Printing Function
  10 min
- Lecture3.10
  
  10. Mini Project – Letter Counter
  20 min
Section 4: Python Operators 8
- Lecture4.1
  
  1. Python Operators Overview
  05 min
- Lecture4.2
  
  2. Arithmetic Operators
  09 min
- Lecture4.3
  
  3. Assignment Operators
- Lecture4.4
  
  4. Comparison Operators
- Lecture4.5
  
  5. Logical Operators
  13 min
- Lecture4.6
  
  6. Identity Operators
  05 min
- Lecture4.7
  
  7. Membership Operators
  03 min
- Lecture4.8
  
  8. Bitwise Operators
  08 min
Section 5: Python Advanced Data Types 8
- Lecture5.1
  
  1. Python Advanced Data Types Overview
  11 min
- Lecture5.2
  
  2. Python Lists
  05 min
- Lecture5.3
  
  3. List Slicing and Indexing
  05 min
- Lecture5.4
  
  4. Python Tuples
  03 min
- Lecture5.5
  
  5. Python Sets
  07 min
- Lecture5.6
  
  6. Python Dictionaries
  11 min
- Lecture5.7
  
  7. When To Use Each One?
  05 min
- Lecture5.8
  
  8. Compound Data Types
  03 min
Section 6: Python Control Flow Part 1 6
- Lecture6.1
  
  1. Python Control Flow Part 1 Overview
  16 min
- Lecture6.2
  
  2. Intro To Control Flow
  01 min
- Lecture6.3
  
  Basic Conditional Statements
  14 min
- Lecture6.4
  
  3. More Conditional Statements
  06 min
- Lecture6.5
  
  4. For Loops
  10 min
- Lecture6.6
  
  5. While Loops
  12 min
Section 7: Python Control Flow Part 2 6
- Lecture7.1
  
  1. Python Control Flow Part 2 Overview
  03 min
- Lecture7.2
  
  2. Break Statements
  08 min
- Lecture7.3
  
  3. Continue Statements
  05 min
- Lecture7.4
  
  4. Zip Function
  08 min
- Lecture7.5
  
  5. Enumerate Function
  04 min
- Lecture7.6
  
  6. List Comprehension
  05 min
Section 8: Python Functions 6
- Lecture8.1
  
  1. Python Function Overview
  03 min
- Lecture8.2
  
  2. Intro To Functions
  03 min
- Lecture8.3
  
  3. Python Help Functions
  04 min
- Lecture8.4
  
  4. Defining Functions
  10 min
- Lecture8.5
  
  5. Variable Scope
  09 min
- Lecture8.6
  
  6. Doc Strings
  04 min
Section 9: User Input and Error Handling 7
- Lecture9.1
  
  1. User Input and Error Handling Overview
  02 min
- Lecture9.2
  
  2. Intro To Error Handling
  03 min
- Lecture9.3
  
  3. User Input
  05 min
- Lecture9.4
  
  4. Syntax Errors
  04 min
- Lecture9.5
  
  5. Exceptions
  12 min
- Lecture9.6
  
  6. Handling Exceptions Part 1
  09 min
- Lecture9.7
  
  7. Handling Exceptions Part 2
  09 min
Section 10: Python Advanced Functions 7
- Lecture10.1
  
  1. Python Advanced Function Overview
  06 min
- Lecture10.2
  
  2. Lambda Functions
  06 min
- Lecture10.3
  
  3. Functions args and kwargs
  11 min
- Lecture10.4
  
  4. Python Iterators
  09 min
- Lecture10.5
  
  5. Generators and Yield
  12 min
- Lecture10.6
  
  6. Map Function
  15 min
- Lecture10.7
  
  7. Filter Function
  09 min
Section 11: Python Scripting and Libraries 9
- Lecture11.1
  
  1. Python Scripting and Libraries Overview
  05 min
- Lecture11.2
  
  2. What is a Script?
  02 min
- Lecture11.3
  
  3. What is an IDE?
  18 min
- Lecture11.4
  
  4. What is a Text Editor?
  12 min
- Lecture11.5
  
  5. From Jupyter Notebook to VScode Part 1
  15 min
- Lecture11.6
  
  6. From Jupyter Notebook to VScode Part 2
  06 min
- Lecture11.7
  
  7. Importing Scripts
  04 min
- Lecture11.8
  
  8. Standard Libraries
  05 min
- Lecture11.9
  
  9. Third-Party Libraries
  06 min
Section 12: NumPy 9
- Lecture12.1
  
  1. NumPy Overview
  05 min
- Lecture12.2
  
  2. Intro To NumPy
  05 min
- Lecture12.3
  
  3. Why Use NumPy
  05 min
- Lecture12.4
  
  4. NumPy Arrays
  11 min
- Lecture12.5
  
  5. Reshaping, Accessing, and Modifying
  08 min
- Lecture12.6
  
  6. Slicing and Copying
  06 min
- Lecture12.7
  
  7. Inserting, Appending, and Deleting
  10 min
- Lecture12.8
  
  8. Array Logical Indexing
  04 min
- Lecture12.9
  
  9. Broadcasting
  09 min
Section 13: Pandas 6
- Lecture13.1
  
  1. Intro To Pandas
  17 min
- Lecture13.2
  
  2. Pandas Series
  17 min
- Lecture13.3
  
  3. Pandas Series Manipulation
  17 min
- Lecture13.4
  
  4. Pandas DataFrame
  18 min
- Lecture13.5
  
  5. Pandas DataFrame Manipulation
  13 min
- Lecture13.6
  
  6. Dealing with Missing Values
  11 min
Section 14: Intro To OOP 5
- Lecture14.1
  
  1. Functional vs OOP
  07 min
- Lecture14.2
  
  2. OOP Key Definitions
  05 min
- Lecture14.3
  
  3. Create Your First Class
  13 min
- Lecture14.4
  
  4. How to Create and Use Objects
  07 min
- Lecture14.5
  
  5. How To Modify Attributes
  13 min
Section 15: Advanced OOP 5
- Lecture15.1
  
  1. Python Decorators
  18 min
- Lecture15.2
  
  2. Property Decorator
  09 min
- Lecture15.3
  
  3. Class Method Decorator
  08 min
- Lecture15.4
  
  4. Static Methods
  11 min
- Lecture15.5
  
  5. Inheritance from A-Z
  21 min
Section 16: Starting a Career in Python 8
- Lecture16.1
  
  1. Python Career Overview
  06 min
- Lecture16.2
  
  2. Getting Started with Freelancing
  10 min
- Lecture16.3
  
  3. Building a Brand
  12 min
- Lecture16.4
  
  4. Personal Branding
  14 min
- Lecture16.5
  
  5. Importance of Having Website/Blog
- Lecture16.6
  
  6. Networking
  05 min
- Lecture16.7
  
  7. Top Freelance Websites
  09 min
- Lecture16.8
  
  8. Creating a Python Developer Resume
  07 min

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Section 1: Introduction to Python Programming from A-Z 8

Section 2: Getting Familiar with Python 11

Section 3: Python Basic Data Types 10

Section 4: Python Operators 8

Section 5: Python Advanced Data Types 8

Section 6: Python Control Flow Part 1 6

Section 7: Python Control Flow Part 2 6

Section 8: Python Functions 6

Section 9: User Input and Error Handling 7

Section 10: Python Advanced Functions 7

Section 11: Python Scripting and Libraries 9

Section 12: NumPy 9

Section 13: Pandas 6

Section 14: Intro To OOP 5

Section 15: Advanced OOP 5

Section 16: Starting a Career in Python 8

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