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Python and Algorithms & Data Structures
This repository contains a comprehensive study of Algorithms & Data Structures in Python, including an "e-book" I wrote.
Source Code Structure
src/
├── abstract_structures
├── heap
├── linked_lists
├── queues
└── stacks
├── builtin_structures
├── arrays_and_strings
├── dicts
├── lists
├── numbers
├── sets
├── strings
└── tuples
├── graphs_and_trees
├── trees
├── programming_paradigms
├── dynamic_programming
├── modules
└── oop
└── searching_and_sorting
├── searching
├── sorting
Installation
The snippets are designed to be used individually. However, If you want to install every mentioned libraries in your virtualenv, do this:
$ pip install -r requirements.txt
Further Learning
[Check out my lessons in machine learning.] (https://github.com/mariwahl/Machine-Learning-Lessons)
Check out my lessons in numerical methods.
Neat Problems in Python and Flask
License
When making a reference of my work, please use my twitter handle b_t_3 or my website. Thank you!
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
Description
👾 my detailed walk-through for mastering classical algorithm and data structure problems (and the book i published by hanbit media a decade ago)
algorithmalgorithmsbreath-first-searchcode-interviewdata-structuredata-structuresdepth-first-searchexercisegraphs-algorithmsinterviewlearn-algorithmpythonpython-solutionqueuestries
Readme
17 MiB
Languages
Python
84.4%
Makefile
15.4%
C
0.2%