Purpose

Help new Python programmers expand their Python skills

Objectives

• Understand and apply Python's iteration protocols
• Apply test-driven design (TDD) concepts to Python application development
• Use multithreading and multiprocessing to scale out Python programs
• Build a simple web application using Flask

Audience

Software developers, QA, DevOps engineers, and system adminstrators with 3+ months of experience looking to deepen their understanding of Python

Prerequisites

Students should be familiar with the concepts in the Introduction to Programming with Python course, particularly Python functions, built-in bcontainers, and control structures.

Course Outline

• Introduction and overview
  • Jupiter notebooks, briefly
  • Core Python syntax review
  • Virtual environments
• Advanced container types in Python
• Functional programming
  • Functions as first-class objects
  • Closures
  • Using and creating Python decorators
• Object-oriented programming (OOP)
  • Creating classes and methods
  • Using inheritance for reuse
  • Magic methods for emulating built-in types
  • Decorators adn OOP
• Iteration: iterables, iterators, and generators
• Resource management with context managers
• Logging in Python
• Testing in Python
  • Test-driven development
  • Python test libraries
  • Debugging with PDB
• Concurrency in Python: multithreading and multiprocessing
• Network programming
  • Consuming APIs with the requests module
  • Using sockets to build low-level network services
  • Creating APIs and web UIs using Flask
• Python and data science tools
  • Using Numpy for efficient numerical processing
  • Using Pandas for data integration
  • Overview of Scipy for scientific computing

Please contact us for information on pricing and availability