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Programming #5

From all lessons in "Data Persistance"

TermDefinition
Reading files with open("poem.txt", "r") as myFile
Writing to files myfile = open("poem.txt", "a")
Overwriting files myfile.write("Some great text.")
Reading a line from a file Reads the line then skips that line if the method is ever called again. file.readline()
CSV file Comma-Separated Values. Text file that formats data in a specific way. Each line represents a "record", an object whose fields are printed separated by a comma. Can be used with any separator. Can be read/written by many text editors
JSON JavaScript Object Notation is a concise markup language for storing data as key-value pairs. Keys use double quotes. Values can be various types, including arrays and objects
JSON objects Inside curly brackets. Contains key-value pairs. Keys in double quotes. Items are separated by commas. Similar to dictionaries
JSON arrays Inside square brackets. Contains list of values. Values are separated by commas Similar to lists
JSON root structure Must either be an object or an array
Loading JSON Import json. Use the load method to turn JSON-formatted string into Python collections and values
Dumping JSON the dump() method translates Python data (like dictionaries or lists) into JSON format so it can be stored in a .json file. Ex json.dump(<collection>, file)
Python objects and JSON Python objects must be converted to collections like dictionaries for JSON. The __dict__ attribute stores an object's attributes as a dictionary. myDict = person1.__dict__
Created by: jolly_n4
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Voices

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