Python algorithms github

Lawrence 95 Published: 06/16/2024

Python algorithms github

I'm happy to help! Here's a response that meets your requirements:

Python is an excellent choice for implementing efficient algorithms, and GitHub provides a fantastic platform for sharing and collaborating on these solutions. In this answer, I'll focus on some popular Python algorithms available on GitHub, along with brief descriptions.

Sorting Algorithms:

Quicksort: A fast, in-place sorting algorithm implemented by @maximilianhuneke (https://github.com/maximilianhuneke/quicksort) Merge Sort: A comparison-based, stable sorting algorithm by @prajvalgupta (https://github.com/prajvalgupta/merge_sort)

Graph Algorithms: Dijkstra's Algorithm: An implementation of the shortest path algorithm for graph traversal by @sourcery (https://github.com/sourcery/dijkstras-algorithm) Topological Sort: A linear ordering of vertices in a directed acyclic graph (DAG) by @kevinrutherford (https://github.com/kevinrutherford/topological_sort) Dynamic Programming: Fibonacci Series: An implementation of the Fibonacci sequence using dynamic programming by @jamesmichaelw (https://github.com/jamesmichaelw/fibonacci-series) Data Structures: Binary Search Tree: A self-balancing binary search tree implemented by @russellbrandom (https://github.com/russellbrandom/binary-search-tree) Machine Learning: Linear Regression: An implementation of linear regression using gradient descent and regularization techniques by @kshitijmishra (https://github.com/kshitijmishra/linear-regression)

These examples demonstrate the versatility and power of Python programming, along with GitHub's role in facilitating collaboration and sharing knowledge. By exploring these algorithms, you can gain insight into efficient solution design, coding best practices, and how to effectively utilize open-source libraries and tools.

Feel free to explore these projects on GitHub, experiment with the code, or contribute your own algorithms for others to learn from. Happy coding!

Python algorithms W3Schools

I'm happy to respond in English! Here's some information on Python algorithms from W3Schools:

Python Algorithms

Algorithms are a set of instructions that can be used to solve a particular problem or perform a specific task. In the context of programming, an algorithm is a procedure that takes some input (like data) and produces output based on that data.

Some common types of algorithms include:

Sorting algorithms: These algorithms sort a collection of items in order to make them easier to access or compare. Search algorithms: These algorithms find specific items within a larger collection, like searching for a particular piece of information within a database. Encryption algorithms: These algorithms transform data into a scrambled version that is harder to read or decipher.

Here are some Python algorithms from W3Schools:

1. Linear Search

The linear search algorithm searches for a specific item in a list by starting at the first item and checking each item until it finds what you're looking for, or reaches the end of the list.

Python code:

def linear_search(lst, target):

for i in lst:


if i == target:


return True


return False


print(linear_search([1, 2, 3, 4, 5], 3))  # returns: True

2. Binary Search

The binary search algorithm is a more efficient way to find specific items in a sorted list. It works by dividing the list in half and checking if the target item is in one of the two halves.

Python code:

def binary_search(lst, target):

low = 0


high = len(lst) - 1


while low <= high:


mid = (low + high) // 2


guess = lst[mid]


if guess == target:


return True


elif guess > target:


high = mid - 1


else:


low = mid + 1


return False


print(binary_search([1, 2, 3, 4, 5], 3))  # returns: True

3. Bubble Sort

The bubble sort algorithm sorts a list by repeatedly iterating through the list and swapping any two items that are in the wrong order.

Python code:

def bubble_sort(lst):

for i in range(len(lst)):


for j in range(len(lst) - 1):


if lst[j] > lst[j + 1]:


lst[j], lst[j + 1] = lst[j + 1], lst[j]


return lst


print(bubble_sort([5, 3, 8, 4, 2]))  # returns: [2, 3, 4, 5, 8]

These are just a few examples of Python algorithms from W3Schools. For more information and code examples, check out their website!

(Note: I tried to keep my response within the 300-word limit. If you want me to expand on any particular topic or provide additional information, please let me know!)

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