Introduction to Python-About the Course
Meet your Course Instructor: Alfredo Deza
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Meet your Supporting Instructor: Noah Gift
Course Structure and Discussion Etiquette
Introduction to Python-Working with Variables and Types
Lesson Introduction: Variables and Types
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Variables and Assignments
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Working with Different Data Types
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Conditionals and Evaluations
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Catching and Handling Exceptions
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Lesson Recap: Variables and Types
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Introduction to Python-Introduction to Python Data Structures
Lesson Introduction: Python Data Structures
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Introduction to Lists
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Creating and Iterating Over Lists
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Introduction to Dictionaries
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Creating and Iterating Over Dictionaries
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Other Data Structures: Tuples and Sets
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Lesson Recap: Python Data Structures
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Minimal Python book: Storing Data
Introduction to Python-Adding and Extracting Data from Data Structures
Lesson Introduction: Adding and Extracting Data
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Adding Data to Lists
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Extracting Data from Lists
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Extracting Data from Dictionaries
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Lesson Recap: Adding and Extracting Data
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Python Functions and Classes-Working with Functions
Lesson Introduction: Working with Functions
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Function Structure and Values
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Function Arguments
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Variable and Keyword Arguments
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Lesson Recap: Working with Functions
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Minimal Python book: Create functions
Python Functions and Classes-Building Classes and Methods
Lesson Introduction: Building Classes and Methods
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Introduction to Classes
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Using a Constructor
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Adding Methods
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Class Inheritance
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Lesson Recap: Building Classes and Methods
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Python Functions and Classes-Modules and Advanced Usage
Lesson Introduction: Modules and Advanced Usages
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Introduction to Python Modules
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Working with Imports
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Working with Python Scripts
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Virtual Environments and Dependencies
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Lesson Recap: Modules and Advanced Usages
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Python for Beginners Learning Path
Testing in Python-Introduction to Testing
Lesson Introduction: Writing and Executing Tests
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Motivations for Testing in Python
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Testing Conventions
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Testing with pytest
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Lesson Recap: Writing and Executing Tests
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Testing in Python-Writing Useful Tests
Lesson Introduction: Writing Useful Tests
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Using Plan Asserts in pytest
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Writing Test Classes
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Test Classes vs. Test Functions
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Parameterizing Tests
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Lesson Recap: Writing Useful Tests
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Testing in Python-Testing Failures
Lesson Introduction: Testing Failures
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Test Failure Output
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Python Debugging with PDB
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Other pytest Runner Options
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pytest Fixtures
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Lesson Recap: Testing Failures
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Introduction to Pandas and NumPy-Basic Pandas Usage
Lesson Introduction: Basic Pandas Usage
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Introduction to Pandas
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Loading Data into Pandas
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Writing Data from Pandas DataFrames
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Exploratory Analysis with Pandas
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Lesson Recap: Basic Pandas Usage
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Introduction to Pandas and NumPy-Working with DataFrames
Lesson Introduction: Working with DataFrames
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Common DataFrame Operations
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Manipulating Text in DataFrames
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Applying Functions with Pandas
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Visualizing Data with Pandas
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Lesson Recap: Working with DataFrames
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Introduction to Pandas and NumPy-NumPy Basics
Lesson Introduction: NumPy Basics
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Introduction to NumPy Arrays
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Common NumPy Array Operations
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More NumPy Array Operations
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Lesson Recap: NumPy Basics
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Applied Python for MLOps-Working with APIs and SDKs
Lesson Introduction: APIs and SDKs
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Installing Azure Command-Line Interface (CLI)
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AzureML Studio with Python
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Hugging Face Transformers
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Hugging Face Datasets
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Azure Open Datasets
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Lesson Recap: APIs and SDKs
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Applied Python for MLOps-Automation with Command-Line Tools
Lesson Introduction: Automation with Command-Line Tools
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Creating a Single File Script
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Using the ArgParse Framework
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Declaring Dependencies
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Using the Click Framework
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Packaging your Project
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Solving a Machine Learning Problem with a CLI Tool
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Lesson Recap: Automation with Command-Line Tools
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Applied Python for MLOps-Building Machine Learning APIs
Lesson Introduction: Building Machine Learning APIs
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Introduction to Flask Framework
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Building an API with Flask
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Introduction to the FastAPI Framework
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Building an API with FastAPI
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Python API Best Practices
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Lesson Recap: Building Machine Learning APIs
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