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PyPI package designed to make development in Python easier.

Project description

inpsPyPI

inpsPyPI is a PyPI package for Python 3.10+ that provides useful tools for data conversion and validation, a custom EasySQL class for simplified SQLite operations, a custom excel file handler, and a custom file IO handler.


Features

inpsPyPI contains several distinct modules to help keep your codebase clean and readable:

Validation (Check)

A robust validation class to simplify standard string and format checks.

  • Email formatting and customizable domain validation.
  • Validates Philippine mobile numbers (+639 / 09).
  • Check for spaces, symbols, and pure numerical strings.

Cryptography (Cipher)

A basic cryptography class to implement classic cipher techniques.

  • Transposition Cipher
  • Giovanni Cipher
  • Keyword Cipher
  • Caesar Cipher

Data Conversion (Convert)

Effortless type casting and data encoding.

  • Hex, Binary, and Base64 encoding/decoding.
  • String reversal and byte-array conversions.
  • Quick casting for Int, Float, Double, and Long.

Data Structures

Custom implementations for improved data manipulation.

  • Dictionarily: An enhanced Dictionary object with built-in sorting (alphabetical and numerical-first).
  • Memory: A clean, object-oriented list/array wrapper to handle storage, indexing, and removal.
  • Stackily: A classic Stack implementation (push, pop, peek, is_empty, size).
  • Node: A lightweight binary tree node implementation.

Database Management (EasySQL)

A simplified wrapper around Python's built-in sqlite3.

  • Create tables with ease by passing lists of dictionaries.
  • Insert, delete, and clear records directly via Python dictionaries.
  • Fetch and print table values seamlessly.

Excel Operations

A wrapper for openpyxl allowing for extremely fast Excel file data manipulation.

  • Read and write to specific columns across single or multiple sheets.
  • Skip header rows easily using skip_rows.
  • Zero-hassle reading/writing to entire column letters (e.g., Column 'A').

File Handling (SimpleFileHandler)

Static methods to rapidly read(), write(), and append() to text files using utf-8 encoding.

Sorting Algorithms

A massive suite of sorting algorithms available as quick plug-and-play functions.

  • Quick Sort, Merge Sort, Heap Sort, Selection Sort, Insertion Sort, Bubble Sort.
  • Advanced/Niche Sorts: Tim Sort, Intro Sort, Cocktail Shaker Sort, Shell Sort, Pigeonhole Sort, Bead Sort, and even Bogo Sort!

Installation

pip install inpsPyPI

Dependencies

The package largely uses Python's standard library (e.g., sqlite3, math, re, base64). However, the Excel operations module requires:

  • openpyxl
  • unidecode

Quick Usage Examples

1. Simple SQLite Database Queries (EasySQL)

from inpsPyPI import EasySQL

db = EasySQL("my_database")

# Create a database table
db.create_table("users", {
    "id": "INTEGER PRIMARY KEY", 
    "name": "TEXT",
    "age": "INTEGER"
})

# Insert data
db.insert_to_table("users", {"id": 1, "name": "Alice", "age": 28})

# Fetch values
records = db.get_table_values("users")
print(records)

2. Validating Phone Numbers & Emails (Check)

from inpsPyPI import Check

# Validate Philippine Phone Numbers
is_valid = Check.is_a_valid_philippine_mobile_number("+639123456789")
print(is_valid)  # True

# Validate Emails with strict domain rules
Check.Email.add_valid_domain_name("gmail")
Check.Email.add_valid_domain_extension("com")
print(Check.Email.is_valid("user@gmail.com"))  # True

3. File Handling (SimpleFileHandler)

from inpsPyPI import SimpleFileHandler

# Write, Append, and Read
SimpleFileHandler.write("log.txt", "Process started.\n")
SimpleFileHandler.append("log.txt", "Process finished.\n")

print(SimpleFileHandler.read("log.txt"))

4. Text Encryption (Cipher)

from inpsPyPI import Cipher

encrypted = Cipher.caesar_cipher("HELLO WORLD", shift=3)
print(encrypted)  # KHOOR ZRUOG

5. Sorting Array Data

from inpsPyPI import quicksort, merge_sort

array = [5, 2, 9, 1, 5, 6]
print(quicksort(array)) #[1, 2, 5, 5, 6, 9]

Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

License

MIT

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