{"heading":"Here’s what the advanced (B) level of Weekly Python Exercise covers","id":15517339,"theme":{"name":"none","colors":{"background":"#ffffff","button":"#25c583","buttonText":"#ffffff","heading":"#36434d","text":"#5e6971"},"background":{"blend":"multiply","blur":0,"contrast":75,"grayscale":100,"opacity":38,"url":null}},"button":{"text":"","url":""},"text":"

Each cohort of WPE covers different topics. But the overall goal is to get you to write more Pythonic, efficient, and easier-to-read code. Along the way, we'll cover:

Unlocking the immense power of decorators – learn how and where to implement them
Understanding threading and multiprocessing – and comparing the two of them
Defining classes and object-oriented programming – finally getting them to “click” in your brain if you’ve been stumped until now
How to use lambdas – and exactly why you would use them in certain situations
Using functions and nested functions – optimize your programs to be more efficient, expressive, and easily maintainable
The “collections” module – how “namedtuple”, “Counter”, and other classes can make your code shorter, more clear, and easier to maintain
Implementing iterators, generators, and the “itertools” module – make your job––and others’––easier by understanding the most important protocol in Python
Harnessing Python for consuming web services – automate the gathering of information from the Internet and use it in Python
Storing and retrieving information with relational databases – discover how Python’s DB-API offers a consistent, database-neutral interface to these databases
Using Python as a “glue” language – automate translating file formats, retrieving and publishing data with JSON, and executing external programs