Welcome! Course Introduction
- What Does the Course Cover?
- Download Useful Resources - Exercises and Solutions
Introduction to programming with Python
- Programming Explained in 5 Minutes
- Programming Explained in 5 Minutes
- Why Python?
- Why Python?
- Why Jupyter?
- Why Jupyter?
- Installing Python and Jupyter
- Jupyter’s Interface – the Dashboard
- Jupyter’s Interface – Prerequisites for Coding
- Jupyter’s Interface
- Python 2 vs Python 3: What's the Difference?
Python Variables and Data Types
- Variables
- Variables
- Numbers and Boolean Values
- Numbers and Boolean Values
- Strings
- Strings
Basic Python Syntax
- Arithmetic Operators
- Arithmetic Operators
- The Double Equality Sign
- The Double Equality Sign
- Reassign Values
- Reassign values
- Add Comments
- Add Comments
- Line Continuation
- Indexing Elements
- Indexing Elements
- Structure Your Code with Indentation
- Structure Your Code with Indentation
Python Operators Continued
- Comparison Operators
- Comparison Operators
- Logical and Identity Operators
- Logical and Identity Operators
Conditional Statements
- Introduction to the IF statement
- Introduction to the IF statement
- Add an ELSE statement
- Else if, for Brief – ELIF
- A Note on Boolean values
- A Note on Boolean Values
Python Functions
- Defining a Function in Python
- Creating a Function with a Parameter
- Another Way to Define a Function
- Another Way to Define a Function
- Using a Function in another Function
- Combining Conditional Statements and Functions
- Creating Functions Containing a Few Arguments
- Notable Built-in Functions in Python
- Functions
Python Sequences
- Lists
- Lists
- Using Methods
- Using Methods
- List Slicing
- Tuples
- Dictionaries
- Dictionaries
Using Iterations in Python
- For Loops
- For Loops
- While Loops and Incrementing
- Create Lists with the range() Function
- Create Lists with the range() Function
- Use Conditional Statements and Loops Together
- All In – Conditional Statements, Functions, and Loops
- Iterating over Dictionaries
Advanced Python tools
- Object Oriented Programming
- Object Oriented Programming - Quiz
- Modules and Packages
- Modules - Quiz
- The Standard Library
- The Standard Library - Quiz
- Importing Modules
- Importing Modules - Quiz
- Must-have packages for Finance and Data Science
- Must-have packages - Quiz
- Working with arrays
- Generating Random Numbers
- A Note on Using Financial Data in Python
- Sources of Financial Data
- Accessing the Notebook Files
- Importing and Organizing Data in Python – part I
- Importing and Organizing Data in Python – part II.A
- Importing and Organizing Data in Python – part II.B
- Importing and Organizing Data in Python – part III
- Changing the Index of Your Time-Series Data
- Restarting the Jupyter Kernel
PART II FINANCE: Calculating and Comparing Rates of Return in Python
- Considering both risk and return
