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Name		Name	Last commit message	Last commit date
Algorithm Analysis and Big O		Algorithm Analysis and Big O
Array Sequences		Array Sequences
Efficient_Python		Efficient_Python
Graphs		Graphs
Linked Lists		Linked Lists
Mock Interviews		Mock Interviews
Practice		Practice
Recursion		Recursion
Riddles		Riddles
Sorting and Searching		Sorting and Searching
Stacks, Queues and Deques		Stacks, Queues and Deques
Trees		Trees
assets		assets
.gitconfig		.gitconfig
.gitignore		.gitignore
Python_DSAlgo_Guide.md		Python_DSAlgo_Guide.md
README.md		README.md
data_structures_notes.pdf		data_structures_notes.pdf
test_template.py		test_template.py

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Python for Algorithms, Data-Structures, and Interviews

This repository contains a compilation of algorithms & data structures and their implementations in Python. I forked it originally from a repository by J.M. Portilla, who has a Udemy course on the topic:

Additionally, I added comments and alternative implementations, in some cases after checking other resources, such as (always referenced):

Educative: Ace the Python Coding Interview
DataCamp: Writing Efficient Python Code
Cousera: Accelerated Computer Science Fundamentals Specialization; check my notes on the Specialization: mxagar/accelerated_computer_science_coursera.

A non-exasutive guide with notes can be found in Python_DSAlgo_Guide.md.

Another related repository of mine is design_patterns_notes. I created that repository while following the Udemy course Design Patterns in Python by Dmitri Nesteruk.

⚠️ Disclaimer: This repository is some kind of sandbox where I try things, so if don't expect it to be tidy and 100% PEP8-compliant 😜.

Mikel Sagardia, 2022.
No guarantees.

About

This repository contains a compilation of algorithms & data structures and their implementations in python. Originally, I forked the base repository from J.M. Portilla, who has a Udemy course on the topic: "Python for Algorithms, Data-Structures, and Interviews". However, I also added extra material from other sources.