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{:auto_ids} 0-based indexing : is a way of assigning indices to elements in a sequential, ordered data structure starting from 0, i.e. where the first element of the sequence has index 0.
CSV (file) : is an acronym which stands for Comma-Separated Values file. CSV files store tabular data, either numbers, strings, or a combination of the two, in plain text with columns separated by a comma and rows by the carriage return character.
database : is an organized collection of data.
dataframe : is a two-dimensional labeled data structure with columns of (potentially) different type.
data structure : is a particular way of organizing data in memory.
data type : is a particular kind of item that can be assigned to a variable, defined by the values it can take, the programming language in use and the operations that can be performed on it.
dictionary : is an unordered Python data structure designed to contain key-value pairs, where both the key and the value can be integers, floats or strings. Elements of a dictionary can be accessed by their key and can be modified.
docstring : is an optional documentation string to describe what a Python function does.
faceting : is the act of plotting relationships between set variables in multiple subsets of the data with the results appearing as different panels in the same figure.
float : is a Python data type designed to store positive and negative decimal numbers by means of a floating point representation.
function : is a group of related statements that perform a specific task.
integer : is a Python data type designed to store positive and negative integer numbers.
interactive mode : is an online mode of operation in which the user writes the commands directly on the command line one-by-one and execute them immediately by pressing a button on the keyword, usually Return.
join key : is a variable or an array representing the column names over which pandas.DataFrame.join() merge together columns of different data sets.
library : is a set of functions and methods grouped together to perform some specific sort of tasks.
list : is a Python data structure designed to contain sequences of integers, floats, strings and any combination of the previous. The sequence is ordered and indexed by integers, starting from 0. Elements of a list can be accessed by their index and can be modified.
loop : is a sequence of instructions that is continually repeated until a condition is satisfied.
NaN : is an acronym for Not-a-Number and represents that either a value is missing or the calculation cannot output any meaningful result.
None : is an object that represents no value.
scripting mode : is an offline mode of operation in which the user writes the commands to be executed in a text file (with .py extension for Python) which is then compiled or interpreted to run the program. Notes that Python interprets script on run-time and compiles a binary version of the program to speed up the execution time.
Sequential (data structure) : is an ordered group of objects stored in memory which can be accessed specifying their index, i.e. their position, in the structure.
SQL : or Structured Query Language, is a domain-specific language for managing data stored in a relational database management system (RDBMS).
SQLite : is a self-contained, public domain SQL database engine.
string : is a Python data type designed to store sequences of characters.
tuple : is a Python data structure designed to contain sequences of integers, floats, strings and any combination of the previous. The sequence is ordered and indexed by integers, starting from 0. Elements of a tuple can be accessed by their index but cannot be modified.