Advanced Python (2018)

Course details

Develop your Python programming skills. Python is a great choice for building all kinds of applications, but to fully take advantage of its power and flexibility, you need to master all its advanced functionality. In this course, you can learn how to leverage next-level Python features such as object-oriented special class methods, use logging to track performance and user activity, see how to port code from Python 2 to 3, and make your code more efficient and easier to read and maintain. Instructor Joe Marini also shows how to manipulate data, build custom classes and functions, create lists, and write more elegant, optimized code.

Learning objectives
Truth value testing
Template strings
Iterators
Transforms
Advanced Python functions
Advanced collections
Advanced classes and objects
Logging
Python comprehensions: list, dictionary, and set

Concepts

0. Introduction

01 - Welcome
02 - What you should know

1. Python Language Features

03 - Python coding style
04 - Truth value testing
05 - Strings vs. bytes
06 - Template strings

2. Built-In Functions

07 - Utilities
08 - Iterators
09 - Transforms
10 - Itertools

3. Advanced Python Functions

11 - Function documentation strings
12 - Variable argument lists
13 - Lambda functions
14 - Keyword-only arguments

4. Advanced Collections

15 - Advanced collections overview
16 - Using namedtuple
17 - defaultdict
18 - Counters
19 - OrderedDict
20 - Deque objects

5. Advanced Classes and Objects

21 - Advanced classes overview
22 - Defining enumerations
23 - Class string values
24 - Computed attributes
25 - Object operations
26 - Object comparisons

6. Using Logging

27 - Overview of logging
28 - Basic logging
29 - Custom logging

7. Python Comprehensions

30 - What are comprehensions
31 - List comprehensions
32 - Dictionary comprehensions
33 - Set comprehensions

Conclusion

34 - Next steps