PythonSimpleFunctions

A comprehensive collection of Python utility scripts covering data structures, cryptography, database management, sorting algorithms, and file processing.

Available methods

• builder_for_flask_jsonify.py - Flask helper for JSON responses.
• check.py - String validation and character checking.
• cipher.py - Cryptographic algorithms (Caesar, Keyword, Transposition).
• convert.py - Base64 encoding and decoding.
• dictionarily.py - Enhanced dictionary management.
• easy_sql.py - Simplified SQLite3 wrapper.
• excellent_reader.py - Excel file reader using openpyxl.
• memory.py - Dynamic list-based storage.
• node.py - Basic tree node class.
• sort.py - Extensive collection of sorting algorithms.
• stackily.py - Stack data structure implementation.

builder_for_flask_jsonify

Simple utility to wrap messages in a dictionary for Flask's jsonify function.

Key Constant

JSON_RESPONSE_TITLE = "response_data"

Function

bake(message) # Returns {"response_data": message}

check

Contains functions to check for the presence of specific character types in strings.

has_numbers(string)
has_numbers2(string)

has_spaces(string)
has_spaces2(string)

has_symbols(string)
has_symbols2(string)

cipher

Classic cryptography methods for text manipulation.

Caesar Cipher

Shifts characters based on an integer.

Keyword Cipher

Uses a keyword to generate a substitution alphabet.

Transposition Cipher

Splits text into even and odd indices and joins them.

convert

Quick conversion between UTF-8 strings and Base64 format.

string_to_base64(string)
base64_to_string(string)

dictionarily

A wrapper for Python dictionaries with custom sorting capabilities.

sort(): Standard alphabetical sort.

sort_numbers_first(): Logic to prioritize numeric keys over string keys.

easy_sql

A class-based wrapper to interact with SQLite databases without writing raw SQL for common tasks.

How to use

# Import the class
from easy_sql import EasySQL

# Create an instance of the class
a = EasySQL()

# Define the columns for the table
columns = [{"fname": "text"}, {"lname": "text"}]

# Create specified table
a.create_table("sample", "sampletable", columns)

# Define the values to be inserted
values = [{"fname": "Isaiah"}, {"lname": "Salazar"}]
values1 = [{"fname": "Saia"}, {"lname": "Razalas"}]

# Insert the values into specified table
a.insert_to_table("sample", "sampletable", values)
a.insert_to_table("sample", "sampletable", values1)

# Print the values in specified table
print(a.get_table_values("sample", "sampletable"))

# Delete a column-value pair from a specified table
a.delete_from_table("sample", "sampletable", {"fname": "Saia"})

excellent_reader

Reads the first column of Excel (.xlsx) spreadsheets.

get_first_column_from_sheet_index(): Targets a specific sheet.

get_first_column_from_all_sheets(): Iterates through the entire workbook.

memory

A high-level wrapper for list operations including adding, removing, and counting elements.

node

The fundamental building block for tree-based structures.

class Node:
    def __init__(self, val):
        self.l, self.r, self.v = None, None, val

sort

A massive library of sorting algorithms, ranging from basic to complex:

Basic

bubble_sort, selection_sort, insertion_sort

Efficient

quicksort, merge_sort, heapsort, timsort

Niche

shellsort, counting_sort, pigeonhole_sort, tree_sort

Experimental/Fun

bogosort, bead_sort, cocktail_shaker_sort

stackily

A standard implementation of a LIFO (Last-In-First-Out) Stack.

Methods

push, pop, peek, is_empty, size