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Test Development Learning Exchange
Test Development Learning Exchange
Feb 10, 2025 · Fundamentals

Common Uses of Python Dictionaries with Code Examples

This article explains eight practical applications of Python dictionaries—including data mapping, configuration management, counting, caching, graph representation, grouping, statistical analysis, and simple database simulation—each illustrated with clear code snippets.

Pythoncode examplesdata-structures
0 likes · 4 min read
Common Uses of Python Dictionaries with Code Examples
Test Development Learning Exchange
Test Development Learning Exchange
Oct 16, 2024 · Fundamentals

Introduction to Python Libraries: attrs, bidict, Box, dataclasses, and DottedDict

This article introduces five Python libraries—attrs, bidict, Box, dataclasses, and DottedDict—explaining their installation, core features, and practical code examples for simplifying data class creation, bidirectional mapping, nested data access, and configuration management.

Pythonattrsbidict
0 likes · 10 min read
Introduction to Python Libraries: attrs, bidict, Box, dataclasses, and DottedDict
Test Development Learning Exchange
Test Development Learning Exchange
Sep 4, 2024 · Fundamentals

How to Convert decimal.Decimal to float in Various Python Data Structures

This tutorial demonstrates multiple ways to transform Python decimal.Decimal objects into native float values across different data structures such as single variables, lists, dictionaries, nested collections, pandas DataFrames, JSON strings, tuples, and sets, while highlighting precision considerations.

DecimalJSONPython
0 likes · 7 min read
How to Convert decimal.Decimal to float in Various Python Data Structures
Python Programming Learning Circle
Python Programming Learning Circle
Apr 27, 2021 · Fundamentals

Python Basics: Syntax, Data Types, Control Flow, Functions, Modules, I/O, and Common Libraries

This comprehensive guide introduces Python fundamentals, covering file encoding declarations, shebang usage, quicksort implementation, script entry checks with __name__, printing differences between Python 2 and 3, pretty‑printing, module and package structures, control flow statements, data types, string operations, regular expressions, collections, dictionary handling, functional tools, generators, decorators, class definitions, property management, exception handling, unit testing, file and path manipulation, JSON/XML processing, Excel interaction, file system utilities, network requests, and MySQL database access.

DatabaseProgrammingdata-structures
0 likes · 25 min read
Python Basics: Syntax, Data Types, Control Flow, Functions, Modules, I/O, and Common Libraries