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A few basic tools I feel are missing in the standard Python distribution.

Project description

My Python Toolkit

This is just a miscellaneous collection of some tools I use regularly that I decided to compile into one package for easy use by mainly me. All examples will assume the package has been imported as kit.

Install from PyPi: pip install mypytoolkit.

import mypytoolkit as kit

Dates and Times

Time Now

kit.time_now() returns a string of the current time in the format "%H-%M". Midnight is "00-00" and 8:35 a.m. is "08-35". 10 p.m. is "22-00". That's without optional parameters.

The optional parameter int_times: bool will allow the function to return a tuple instead of a string. If you call kit.time_now(int_times = True), and if the time is 8:35 a.m., you will receive a tuple (8, 35) where each element is an integer. This is useful for performing relative time actions within a program that are hour/minute independent.


kit.today_date() returns a string of the current date in the format "%Y-%M-%D", where Feb 22, 2022, is "2022-02-22".

kit.time_decimal() returns a float of the time. For example, if it is 8:45 a.m., the function will return 8.75.

Python Tools

kit.tprint() displays the contents of an object along with its type. I got fed up of constantly writing print(obj, type(obj)) when debugging so I found myself constantly defining a tprint() function:

def tprint(obj):
    print(obj, type(obj))
    return [obj, type(obj)]

Super simple but it makes a night and day difference when debugging in lightspeed.

Document Checks

kit.are_docs_same() will tell you if two documents (of any type) have the exact same contents. It takes two parameters.

kit.are_docs_same(original_dir: str, new_dir: str)

It returns a boolean, True or False, depending on whether the contents of the two files are identical. There is no grey area.

Math

Added a LinearEquation class that takes attributes of slope and intercept on instantiation. It has a plot() method which plots the linear graph. For example:

import mypytoolkit as kit

equation = kit.LinearEquation(slope = 4, intercept = 10)
equation.plot(interval = 1000)

This will output a matplotlib plot of the linear equation from 0 to 1000.

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