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Python timeit CLI for the 21st century! colored output, multi-line input with syntax highlighting and autocompletion and much more!
Time and benchmark blocks of Python code. A powerful multi-line in-code alternative to timeit.
Benchmark and analyze functions' time execution and results over the course of development
Implementation of dijkstra's algorithm in Python - Output includes network graph and shortest path. Output screenshots attached.
Function(s) execution timer @decorator with args --> functions wrapper for a quick Python Built-in 'Timeit' modile reports without interrupting or breaking course of a code run.
Get the elapsed time of a block of code and return the result of that block of code.
timeit tests with python/wxPython/etc
Program will take an txt file as a comand line argument which includes unsorted strings. Than pushes these strings into a heap. Finally adds two more strings into this heap than calculate how much time each one will takes.
Time a snippet.
Simple decorators for measuring Python methods execution time
Сравнил производительность основных типов данных (коллекций) с помощью библиотеки timeit
Cartesian product from dictionary to list of dictionaries and faster methods for finding index than the `index` method.
Analyse execution times of different functions of fermulerpy
A Visual Studio Code extension to view the execution time of any Python function on the fly.
Trying to use Python multiprocessing to calculate the Collatz conjecture. For shits and giggles.
calculating the execution time of a program
Different budget reports for our spending data using Python collections, iterables, and iterators
The objective of this repository is to evaluate speedup derived from using multiple CPU cores through the multiprocessing facility in Python.
We build a model to predict the value of used cars, while also considering speed and quality of the prediction.
Python Program That Calculates Euclidean Distances Via 5 Algorithms
Python version of the HNGi7 Task in php
Benchmarking the time taken by various sorting algorithms. Proving that the runtime is of the order c. n.log(n)