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<p>A linguagem Python vêm se tornando cada vez mais popular no mundo científico, devido à sua facilidade de uso, legibilidade e comunidade. Existem muitos pacotes no ecossistema de Python científico para diversas funções, como por exemplo:</p> | ||
<ul> | ||
<li><a href="https://numpy.org/"><strong>NumPy:</strong></a> operações numéricas e estruturas de dados como arranjos n-dimensionais, geradores de numeros aleatórios, álgebra linear, e mais. Otimizado em C. </li> | ||
<li><a href="http://pandas.pydata.org/"><strong>pandas:</strong></a> biblioteca de estatística e análise de dados baseada na NumPy. Contém estruturas de dados como DataFrames, parsers para arquivos tabulares, planilhas, interação com bancos de dados e outras funções.</li> | ||
<li><a href="https://www.scipy.org/"><strong>SciPy:</strong></a> um conjunto de pacotes para diversas aplicações no domínio científico, como otimizadores, algoritmos numéricos, processamento de sinais, e muito mais.</li> | ||
<li><a href="http://matplotlib.org/"><strong>Matplotlib:</strong></a> Criação de figuras em 2D e 3D</li> | ||
<li><a href="http://scikit-learn.org/"><strong>scikit-learn:</strong></a> algoritmos e ferramentas para aprendizado de máquina.</li> | ||
<li><a href="http://scikit-image.org/"><strong>scikit-image:</strong></a> algoritmos e ferramentas para processamento de imagens.</li> | ||
<li><a href="https://biopython.org/"><strong>BioPython:</strong></a> estruturas de dados biológicos e algoritmos de bioinformática.</li> | ||
<li><a href="https://networkx.github.io/"><strong>NetworkX:</strong></a> ferramentas para análise de redes complexas.</li> | ||
<li><a href="http://www.sympy.org/"><strong>SymPy:</strong></a> biblioteca para matemática simbólica e álgebra computacional.</li> | ||
<li><a href="https://dask.readthedocs.io/"><strong>Dask</strong></a> <strong>e</strong> <a href="https://joblib.readthedocs.io/"><strong>Joblib:</strong></a> processamento paralelo e/ou distribuído.</li> | ||
<li><a href="https://docs.conda.io/en/latest/"><strong>conda:</strong></a> gerenciador de pacotes de código aberto, voltado para uso científico.</li> | ||
</ul> | ||
<p>Também existe a comunidade de <a href="https://www.scipyla.org/pt/">SciPy LA</a>, de Python científico na América Latina, que promove eventos e discussões.</p> | ||
<p>Texto inspirado na <a href="https://www.scipy.org/about.html">página do SciPy.</a></p> | ||
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<li><a href="https://t.me/pythonbrasil"><icon class="fa fa-paper-plane"></icon> Telegram</a></li> | ||
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