🔍 Explore essential Python programming concepts with hands-on exercises on loops, conditions, functions, and data structures in this lab project.
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Updated
Nov 13, 2025 - Python
🔍 Explore essential Python programming concepts with hands-on exercises on loops, conditions, functions, and data structures in this lab project.
A python nested dictionaries implementation.
Offline HTML Indexer, Anemone DAISY maker and related book-handling tools
A dictionary that converts Greek language phrases into their numerical equivalents, implemented as a console-based application.
A blazing fast dict subclass that supports dot access notation.
Collection of tools, including "smart" iterable classes that internally adjust to fulfill various functions, methods/functions that allow using sufficiently shortened syntax for complex dictionary operations, and quick conversion tools for translating between json and sql databases as needed.
A python package for tagging, managing and presenting very large numbers of images created by matplotlib.
Python-CLU: Common Lightweight Utilities
word frequency analyzer for decoding ancient Herculaneum papyri scrolls
Solutions for S424 – Lab 4: Python Core Concepts. Includes 4 exercises covering conditions, loops, functions, lists, dictionaries, and OOP with exceptions. Personal practice repository by Abdulaziz Alkhlaiwe, King Saud University.
Coding challenges I completed during my Learn Python course on Scrimba
Work with Dictionaries in Python. Create, Delete, Update and View Settings.
Python exercises and mini-projects showcasing fundamentals and intermediate concepts, including functions, lists, strings, file handling, and problem-solving skills.
Complete collection of multilingual dictionaries for LibreOffice (version 25.2.3) for spelling, synonyms, and hyphenation. Extracted from the portable version and optimized for use in multiple applications such as OpenOffice, Firefox, Thunderbird, and open source projects.
Powerful dictionaries and tuple lists for data wrangling
This project was a challenge undertaken by Professor Cristiano Souza from Universidade Paulista, with the purpose of teaching structured programming, in which we must modularize the creation of an academic system, using the CRUD methodology in the Python language.
Python basics exercise: lists, dictionaries, and loops to summarize friends’ workout minutes (COMP2152 – Assignment 1).
Convert markdown and its elements (tables, lists, code, etc.) into structured, easily processable data formats like lists and hierarchical dictionaries (or JSON), with support for parsing back to markdown.
Custom dictionary which can be accessed with glom-like paths
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