Python API Interaction: HTTP, JSON, and Authentication
Master the art of interacting with APIs using Python, covering HTTP requests, JSON data handling, authentication techniques, and robust error management.
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Introduction to APIs and HTTP
Unit 1: Understanding APIs
What are APIs?
Why Use APIs?
API Types
Client-Server Model
API Communication
Unit 2: Introduction to HTTP
What is HTTP?
HTTP Request Methods
HTTP Methods Continued
HTTP Status Codes
Status Codes Deep Dive
Unit 3: Setting Up Your Environment
Python Setup
Installing `requests`
First Request
Inspecting the Response
Tooling
Making HTTP Requests with `requests`
Unit 1: Introduction to `requests` and GET
Intro to `requests`
Your First GET Request
Status Code Success
Response Content
GET Request Headers
Unit 2: Advanced GET Requests and POST
URL Parameters
Custom Request Headers
Intro to POST Requests
Sending Data with POST
POST Request Example
Unit 3: More on Headers and Requests
Content-Type Deep Dive
Auth Headers
PUT vs. POST
PUT Request Example
DELETE Requests
Working with JSON Data
Unit 1: JSON Fundamentals
What is JSON?
JSON Data Types
JSON vs. Python Types
Your First JSON String
Why Use JSON?
Unit 2: Parsing JSON in Python
JSON to Python: `loads()`
Handling Simple JSON
Error Handling
Parsing JSON from a File
Real-World JSON Parsing
Unit 3: Creating JSON in Python
Python to JSON: `dumps()`
Serializing Simple Data
Formatting JSON Output
Serializing to a File
Sending JSON to APIs
API Authentication Methods
Unit 1: API Key Authentication
API Key Intro
Request Headers
Query Parameter Auth
Key Security
Key Revocation
Unit 2: Basic Authentication
Basic Auth Intro
Encoding Credentials
Sending the Request
Security Concerns
When to use Basic Auth
Unit 3: OAuth 2.0
OAuth 2.0 Intro
Auth Code Grant
Registering an App
Getting Access Tokens
Using Access Tokens
Error Handling and Debugging
Unit 1: Understanding HTTP Status Codes
Intro to Status Codes
Client Error Codes (4xx)
Server Error Codes (5xx)
Unit 2: Implementing Basic Error Handling
Try/Except Blocks
Handling Request Errors
Checking Status Codes
Unit 3: Advanced Error Handling and Logging
Specific Exceptions
Custom Error Messages
Intro to Logging
Logging API Interactions
Unit 4: Debugging Techniques
Print Statements
Debugging Tools
Analyzing Logs
Remote Debugging
Secure API Key Management
Unit 1: Introduction to Secure Key Management
Why Secure Keys?
What are Secrets?
Hardcoding: A No-Go
Intro to Env Variables
Setting Env Variables
Unit 2: Using Environment Variables in Python
Accessing Keys in Python
Best Practices
Dotenv Files
Loading .env in Python
.env and Git
Unit 3: Advanced Key Management
Config Files
Vault Intro
Key Rotation
Revoking Keys
Wrap Up: Key Security
Data Validation with `pydantic`
Unit 1: Introduction to Pydantic
Why Data Validation?
Meet Pydantic
Install Pydantic
Your First Pydantic Model
Data Types in Pydantic
Unit 2: Advanced Pydantic Models
Nested Models
Lists and Sets
Dictionaries
Custom Validation
Field Aliases
Unit 3: Pydantic and API Interaction
Parse API Responses
Handle Validation Errors
Data Serialization
Configuring Pydantic
Pydantic & FastAPI