April 2025
Intermediate to advanced
380 pages
9h 5m
Portuguese (Portugal, Brazil)
Content preview from Python para Negociação Algorítmica
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Apêndice A. Python, NumPy, matplotlib, pandas
Falar é barato. Mostra-me o código.
Linus Torvalds
Python tornou-se uma linguagem de programação poderosa e desenvolveu um vasto ecossistema de pacotes úteis nos últimos anos. Este apêndice fornece uma visão geral concisa do Python e de três dos principais pilares da chamadapilha científica ou de ciência de dados:
-
NumPy(ver https://numpy.org) -
matplotlib(ver https://matplotlib.org) -
pandas(ver https://pandas.pydata.org)
NumPy fornece operações de matriz eficazes em conjuntos de dados numéricos grandes e homogéneos, enquanto pandas foi concebido principalmente para tratar dados tabulares, como dados financeiros de séries temporais, de forma eficiente.
Este apêndice introdutório - que apenas aborda tópicos selecionados relevantes para o resto do conteúdo deste livro - não pode, naturalmente, substituir uma introdução completa ao Python e aos pacotes abrangidos. No entanto, se fores um novato em Python ou na programação em geral, poderás ter uma primeira visão geral e uma sensação do que é Python. Se já tiveres experiência noutra linguagem tipicamente utilizada em finanças quantitativas (como Matlab, R, C++ ou VBA), poderás ver como são as estruturas de dados típicas, os paradigmas de programação e as expressões idiomáticas em Python.
Para uma visão abrangente do Python aplicado às finanças, vê Hilpisch (2018). Outras introduções mais gerais à linguagem, com um enfoque científico e de análise de dados, são VanderPlas (2017) ...
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