Overview
This course provides an accelerated Python training experience. It accelerates experienced coders from zero knowledge to mastery of the language. Intermediate Pythonistas can use this delivery to explore advanced topics such as Decorators, Type Hints and Functional Programming.
All the important features of Python 3 will be explained using practical examples and exercises.
Outline
Foundations
- Understanding the Core Types
- Sets, lists, dictionaries and tuples
- Performing Basic I/O
- Selection, Iteration and Functions
- Identity, equality and references
Functions in Depth
- Declaring functions and passing parameters
- Using defaults and keyword arguments
- Writing variadic functions
- Performing parameter expansion
- Scope and the lifetime of a variable
- Managing errors with try clauses
Deep Dive on Object Orientation
- Class syntax - adding attributes and operations
- Understanding and utilising dunder methods
- Guidelines for overloading operators sensibly
- Using unpacking to break apart structures
- Creating class hierarchies in Python
- The intrinsic class and object attributes
- Creating your own iterator objects and generators
- Intercept and augment method calls via decorators
Functional Programming
- Using functions as inputs to other functions
- Building and returning functions from functions
- Understanding scope and closures
- Creating and working with lambda functions
- Using lambdas with filter, map and reduce
- Simplifying your code using list comprehensions
- Exploring the itertools and functools packages
Organising Code and Modules
- Understanding PIP and Python Packages
- Using virtualenv to scope environments
- Using 'pipenv' for dependencies
- Organizing your code into modules and packages
- Understanding symbol tables and accessing them in code
Performing Common Tasks
- Creating your own command line tools
- Using
setuptoolsto package CLI scripts - Interacting with the operating system
- Exploring the filesystem
- Understanding streams and various types of I/O
- Reading and writing text, data and objects to/from files
- Managing resources via the with statement
- Working with RESTful web services
Clean Code
- Why code quality matters
- Refactoring to enhance quality
- What it means to be Pythonic
- Python Style Guide and PEP 8
- Python Linting Solutions
- Type Hints to Improve Development
- Using TDD within Python
- Comparing doctest, unittest and py.test
Requirements
Several years experience programming in a modern programming language. Python experience is not required, but early topics can be removed if delegates have basic Python knowledge.