TagPython

Python: Comprehensions

Comprehensions build data structures with one or more iterator. This approach reduces syntax when building lists, dictionaries, or sets from conditional and loop statements. Build a list with a list comprehension import string alphabet = string.ascii_lowercase alphabet_list = [letter for letter in alphabet] print(alphabet_list) Build a dictionary with a dictionary comprehension import string...

Python: A Primer on Lists

Python lists can convert other data types to lists. They can be separated into single values with offset and split or groups of items (slices) with extract. An empty pair of square brackets creates an empty list empty_list = [] Or with the list() function empty_list = list() Convert a string list_from_string = list('triangle') Convert a tuple our_tuple = ('ready', 'set', 'go') list_from_tuple...

Dependency Inversion w/Mongo Engine + Flask

Page defines our object’s attributes. This allows us to create an object instance with the following attributes: author, content, title, and meta_attributes. /app/domain/page/page_model.py from cms.services.schema.page_schema import PageSchema class Page(PageSchema): """ Page class """ def __init__(self, author, content, title, meta_attributes, *args, **values): """ Instantiate page object...

Python: Dictionaries

Python dictionaries are data structures organized as a collection of key and value pairs. These mapping objects are hash table implementations with 0(1) retrieval. Keys act as unique references to their associated values. Dictionaries store values to blocks of memory, which are directly accessed by key. We can use any immutable type or any tuple containing immutable types as keys. A dictionary’s...