Averna's Python Glossary [Get Started with Python]

Getting Started with Python: The Glossary

A quick lookup guide for beginners 👀

800x300_Starting with Python the Glossary (1)

Learning to code is the most effective way to stay ahead of technology. Regardless of the device, there is a sea of source code out there, making it work. These days, the popularity of Python keeps growing. Python is a programming language that was designed to keep your goals clear and concise, and as such keeps coding simple. That said, nothing is easy when you don’t speak the same language (pun intended 😉). With that in mind, to get started, here are the most common terms used by Pythonistas and their purpose.

Python Glossary: Averna Edition

Term	Definition
Agile	An approach to software development that focuses on flexibility and collaboration.
Attribute	A characteristic of an object.
Boolean	A data type that has one of two possible values (True or False).
Branch	A separate line of development in a repository.
Class	A blueprint for creating objects that define properties and methods.
Commit	A quick view of changes made to the repository.
Conditional Statement	A statement that executes actions based on whether a condition is True or False.
Continuous Integration (CI)	The practice of regularly merging small code changes into a shared repository, which automatically triggers automated builds and tests.
Data Type	Classification of data that determines the operations that can be performed.
Decorator	A design pattern in Python used to modify the behavior of functions or methods.
Dependency	A requirement for a Python package to function correctly.
Dictionary	A collection of key-value pairs.
Encapsulation	Bundling data and methods that operate on that data into a single unit (class).
Exception	An error that occurs during execution.
Float	A number with a decimal point.
Function	A block of code that performs a specific task.
Generator	A function that produces a sequence of results on-demand, one at a time. This makes them memory-efficient for handling large datasets and avoids creating the entire sequence upfront.
Git	A version control system used to track changes in source code.
Indentation	The spaces used to define blocks of code.
Inheritance	The ability for one class to inherit attributes and methods from another.
Integer	A whole number without decimals.
Integration Test	Testing multiple units together to ensure they work as expected.
Interpreter	Software that translates code into readable instructions.
Iterable	An object capable of returning its members one at a time.
Iterator	An object used to iterate over an iterable.
Lambda Function	An anonymous function defined using the lambda keyword.
List Comprehension	An efficient way to create lists in Python.
List	A collection of items in a specific order, which is liable to change.
Loop	A statement that allows code to be executed repeatedly.
Merge	Combining changes from different branches.
Method	A function associated with a class.
Module Import	Bringing external modules or packages into a script using the import statement.
Module	A file containing code that can be reused in other programs.
Object	An example of a class.
Package	A collection of modules.
pip	Python's package installer, used to install, uninstall, and manage Python packages.
Polymorphism	The ability for an object to take several forms, often achieved through method overriding or method overloading.
Pull Request	A request to fetch and merge changes into the local branch of a repository.
Python	A high-level programming language known for its simplicity and readability.
Recursion	A programming technique where a function calls itself in its definition.
Repository	The storage location where version-controlled source code is kept.
Scrum	An agile framework for managing software development projects. This involves iterative development cycles which are called sprints.
String	A sequence of characters between quotation marks, for example "version 2.0". It can include letters, numbers and special characters.
Syntax	Rules that define the structure of the code.
Try-except Block	A structure used to handle exceptions.
Tuple	An ordered collection of items, which is unchanging.
Unit Test	Testing individual units of a software application.
Variable	A named storage location in memory for data.
Version Control	Managing changes to code over time.
Virtual Environment	A self-contained directory containing an installation for a particular version, plus a number of additional packages.

For any questions on Python or software development, please contact Averna.

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Getting Started with Python: The Glossary

A quick lookup guide for beginners 👀

Python Glossary: Averna Edition

Agile

Attribute

Boolean

Branch

Class

Commit

Conditional Statement

Continuous Integration (CI)

Data Type

Decorator

Dependency

Dictionary

Encapsulation

Exception

Float

Function

Generator

Git

Indentation

Inheritance

Integer

Integration Test

Interpreter

Iterable

Iterator

Lambda Function

List Comprehension

List

Loop

Merge

Method

Module Import

Module

Object

Package

pip

Polymorphism

Pull Request

Python

Recursion

Repository

Scrum

String

Syntax

Try-except Block

Tuple

Unit Test

Variable

Version Control

Virtual Environment

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