Problem Solving with Algorithms and Data Structures Using Python

This book began as a paper book, first published by Franklin Beedle & Associates back in 2005. Written by Brad Miller and David Ranum. We are grateful for the vision of Jim Leisy who gave us permission to take our text and publish it online as an interactive textbook.

Getting Started

We have tried to make it as easy as possible for you to build and use this book.

1. You can see and read this book online at interactivepython.org
2. You can build it and host it yourself in just a few simple steps:
   1. pip install -r requirements.txt -- Should install everything you need
   2. runestone build -- will build the html and put it in ./build/pythonds
   3. runestone serve -- will start a webserver and serve the pages locally from ./build/pythonds

Problem Solving with Algorithms and Data Structures using Python by Brad Miller and David Ranum is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Traduzindo para português

Os capítulos em português estão listados em _sources/index.rst.

Padronização das traduções

• Big-O: ???
• Benchmark analysis: análise de aferição(?)
• Tuple: tupla
• nth: n-ésima(o)
• String: string(?)
• Check off: marcação (nome do método de detecção de anagramas)
• List (Python): lista
• Dictionary (Python): dicionário
• slice operator: operador de fatiamento
• hash table: tabela de dispersão (PF)
• hash function: função de espalhamento (PF)
• hash code: código de espalhamento (PF)
• slot: índice (PF)
• load factor: fator de carga (PF)
• Named parameter: parâmetro nomeado
• **Social Security (...) **: INSS
• folding method: ???
• mid-square method: método do quadrado do meio ?