Some Algorithms In Python

100%

Some Algorithms In Python

✓ Published0🌍 Public

Last edited Nov 9, 2015

Created on Nov 9, 2015

This example illustrates a Python implementation of the binary search algorithm, demonstrating how it recursively bisects a sorted array to locate a target value. The code defines the `binary_search` function, which prints diagnostic messages at each split and returns a boolean result. It also includes a `run_binary_search` function that searches for the integer 6 in a range of 0 through 99. The visualization shows the algorithm's step-by-step process through console output rather than graphical rendering, using standard Python logic and print statements.

AI-generated description

Similar vizzes

Loading thumbnail…

Algoritmos de ordenamiento en Python

Six Python sorting algorithms—bubble, insertion, merge, quicksort, selection, and shell sort—each operate on the same fixed list of ten integers, reporting their execution time and comparison count via the `time` module. The code defines separate functions for each algorithm, using global counters for comparisons, and prints the sorted list along with performance metrics. It demonstrates comparative algorithm behavior through identical input and direct measurement, with no external libraries beyond Python’s standard library.

MMistyBlunch

59% match

Loading thumbnail…

Python Request

This example shows a Python script that transforms lists of integers through three sequential exercises. It demonstrates custom list-processing functions that swap adjacent elements or replace multiples of five with the preceding value, and it uses conditional logic to apply these transformations based on user input. The code relies on Python’s built-in `raw_input`, `range`, and `format` methods to gather data and print results. It illustrates procedural programming with clear step-by-step comments and control flow via `if`, `for`, and `break` statements.

OOscardR

51% match

Loading thumbnail…

Basic Python Usage Notes

This example presents a collection of basic Python syntax and common programming patterns, organized as reusable notes. It demonstrates loops, range, list reversal, string indexing, conditionals, searching, finding maximums, sorting, and dictionary operations using a list of fruits, numbers, and student score dictionaries. The code uses built-in functions like `enumerate()`, `reversed()`, `sorted()`, and the `range()` type to show iteration techniques. Slicing syntax on strings and lists is also illustrated, along with nested dictionary traversal. No external libraries are used; the examples rely solely on Python's standard features and data structures.

AAnsonT

50% match

Loading thumbnail…

Some data structures and algorithms in Java

This example implements classic data structures and algorithms in Java, including binary search trees, merge sort, quicksort, factorial, exponentiation, Fibonacci sequences, string permutation generation, and range unionization. The code uses Java’s built-in `ArrayList`, `Arrays`, and `Collections` APIs, along with custom classes like `Node`, `Tuple`, and `Unionizer`. Random test arrays are generated via `Math.floor` and `Math.random` to benchmark sorting performance, with results printed to the console. The visualization highlights the logic behind each algorithm through clear method signatures and step-by-step control flow.

KKirkHunter

49% match

Loading thumbnail…

Gist b3f71219523700ec540c3470631f24c2

This example demonstrates a simple interactive number-guessing game in Python, comparing user input against a fixed value of 10 and printing relational outcomes. The code uses `raw_input` to read an integer, `try`/`except ValueError` to handle invalid input, and conditional branches with `if`, `elif`, and `else` to test equality and inequality. It also includes loops using `range` to print arithmetic sequences based on the comparison results. No external visualization libraries are used; the program relies solely on standard Python console I/O and control flow.

MMTClass

49% match

Loading thumbnail…

Gist 9b046ace330f16e0c7dfd93c5e979e10

This example shows a numeric comparison game where the user inputs an integer, and the script prints whether it is less than, greater than, or equal to the fixed value 10. It then demonstrates a loop that either adds or subtracts based on the input’s relationship to 10. The code uses Python’s `raw_input` for interactive console input, a `while` loop with a `try`/`except` block to handle invalid entries, and `range()` with `print` statements to output series of numbers. The logic is entirely text-based, with no visualization or graphical rendering libraries involved.

MMTClass

49% match

Loading thumbnail…

nlogn algorithm for n/2 matching numbers

This example visualizes the search for majority elements in an array, specifically highlighting matches for the number 4 in a test array of six integers. It demonstrates a divide-and-conquer algorithm that repeatedly halves the array length while logging matching indices and values to the console. The plain HTML page contains no visible graphical output; instead, the visualization is purely console-based, using JavaScript’s native `console.log` to display results from the custom `matchNo` function. The implementation relies on basic array indexing and arithmetic operations rather than external libraries, rendering the algorithm’s step-by-step progression through text output alone.

NNita

48% match

Loading thumbnail…

Gist 9334b76e2b85586979d759188e76d9c7

This example visualizes the recursive computation of the minimum number of coins needed to reach a target amount, using Python’s `Solution` class and its `coinChange` method. The code defines a depth-first search that memoizes intermediate results in a list `results`, checking whether the amount is already in the coin list or previously computed. It iterates over eligible coin values, recursively calling `coinChange` with a reduced amount, and updates the minimum count. A sentinel value of `-1` is returned when the amount cannot be formed. The visualization likely renders the recursion tree or state transitions based on this algorithm, though no graphical library is imported in the provided code.

SSioKCronin

48% match