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Python Programming 2: Advanced Programming Techniques (Live Online)

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Overview

In this Python training course, students already familiar with Python programming will learn advanced Python techniques.

This advanced Python course is taught using Python 3; however, differences between Python 2 and Python 3 are noted.

Class Prerequisites

Experience in the following is required for this Python class:

  • Basic Python programming experience. In particular, you should be very comfortable with:
  • Working with strings.
  • Working with lists, tuples and dictionaries.
  • Loops and conditionals.
  • Writing your own functions.

Experience in the following would be useful for this Python class:

  • Some exposure to HTML, XML, JSON, and SQL.

Course Outline

Classes and Objects

  • Defining Classes
  • The __init__ method
  • Keyword Arguments

Methods

  • Instance Methods
  • Adding Arguments to Instance Methods
  • The __str__ method
  • Static Methods
  • Class Methods
  • Properties
  • The Property Decorator
  • The Setter Method
  • Validation via the Setter Method

Inheritance

  • The DRY Principle Revisited
  • Single Inheritance
  • Sub-Classing Classes from Python Packages
  • Overriding Methods
  • Calling the Parent Method with super()
  • Multiple Inheritance
  • Method Resolution Order

The Importance of the Standard Library

  • High-Level Modules
  • Lower-Level Modules
  • Knowing How to Navigate in the Standard Library
  • Dates and Times
  • datetime Objects

Interacting with the OS

  • OS Information
  • Using pathlib
  • Listing All Hidden Files in Your Home Directory
  • Using the subprocess Module

Collections

  • Counters
  • defaultdict
  • ChainMap

Becoming Pythonic

  • Using List Comprehensions
  • Set and Dictionary Comprehensions
  • Comprehensions and Multiple Lists
  • Default Dictionary
  • Iterators
  • Itertools
  • One, and Back Again
  • Generators
  • Regular Expressions

Software Development

  • Debugging
  • Automated Testing
  • Test Categorization
  • Test Coverage
  • Writing Tests in Python with Unit Testing
  • Writing a Test with pytest

Taught by

ONLC Training Centers

Reviews

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