APIs and API Design with Python

Application Programming Interfaces (APIs) have become increasingly important as they provide developers with connectivity to everything from rich datasets in an array of formats (such as JSON) to exposing the configurability of software applications and network appliances. Lessons and labs focus on using Python to interact, design, and build APIs for the purposes of scripting automated solutions to complex tasks. Class is a combination of live demonstrations and hands-on labs.

• Python Review
  
  • Version Control with Git
  • Lists
  • Dictionaries
  • Conditionals (if, elif, else)
  • Loops (for and when)
  • Functions
  • Classes and Methods
  • Using pip
• Working with Data - JSON, YAML, CSV and Excel
  
  • JSON RFC 7159
  • JSON Formatting
  • YAML intro
  • YAML Formatting
  • Python Libraries for decoding JSON, YAML and CSV
  • Reading and Writing to Excel
  • Dataframes and pandas
• SSH Communication and SFTP
  
  • Python and SSH
  • Building an SFTP Client & Server
  • Python and SFTP limitations
  • Paramiko for SSH
  • Netmiko and Major Network Vendors (Cisco, Juniper, Arista)
• Web and RESTful APIs
  
  • Creating an HTTP Client & Server with Python
  • Introduction to REST
  • RESTful API on Etcd keystore (Kubernetes distributed DB)
  • Creating a Python client to interact with API endpoints
  • API dev keys
  • Secure password retrieval
  • Tokens and APIs
  • OAuth v2.0
• API Design Practices
  
  • RESTful Architecture
  • Stubbing code with Swagger
  • Describing Resource functionality (GET, POST, PUT, DELETE, etc.)
  • Collections, resources, and URLs
  • Using nouns, not verbs
  • Understanding HTTP status codes
  • Returning data
• Building APIs with Flask
  
  • Flask Overview
  • Decorators
  • Building APIs with Python and Flask
  • APIs returning Jinja2 templating
  • Returning a cookie
  • Building Sessions
  • Redirecting from URIs
  • Build an API to accept a file upload
  • Overview of Django
• Deploying APIs
  
  • Docker containers
  • Docker build
  • Constructing Docker images
  • Dockerfile
  • Deploying a Flask App on Docker
  • Automating build processes
• Database Integration
  
  • Overview
  • Connecting to Python
  • Read / Write operations
  • Other useful instructions
  • Connecting APIs and SQLite
  • Python and PostgreSQL
  • Python and MongoDB
  • Reading and Writing to Databases with APIs
• Processes and Threads
  
  • Threading
  • Context change
  • Deadlock errors
  • Thread starvation
  • Racing conditions and racing specifics
  • Working with Locks

Before attending this course, you should have:

• Basic familiarity with any programming or scripting language
• Coding experience in another language serves as an adequate prerequisite

• System Administrators
• Network Engineers
• Software Developers
• Python Enthusiasts