{"id":177,"date":"2022-06-30T11:42:39","date_gmt":"2022-06-30T11:42:39","guid":{"rendered":"https:\/\/drzakery.ir\/?p=177"},"modified":"2024-05-22T21:49:40","modified_gmt":"2024-05-22T21:49:40","slug":"python-notebooks-o-guia-perfeito-para-iniciantes","status":"publish","type":"post","link":"https:\/\/drzakery.ir\/?p=177","title":{"rendered":"Python Notebooks: O Guia Perfeito para Iniciantes em Ci\u00eancia de Dados Kanaries"},"content":{"rendered":"<p>Tem uma porta LAN 1x RJ45 para que se possa ligar facilmente \u00e0 Internet sem  qualquer problema. Este port\u00e1til tamb\u00e9m vem com um ecr\u00e3 de  15,6&#8243; Full HD 300Hz 1920 x 1080 IPS-Type PANTONE Validated que lhe permitir\u00e1 ver todos os seus dados de forma clara e f\u00e1cil, sem quaisquer problemas. Isto significa que pode facilmente armazenar todos os seus dados sem qualquer problema e aceder a eles r\u00e1pida e eficientemente quando precisar deles. <a href=\"https:\/\/www.horabrasil.com.br\/2024\/05\/14\/desenvolvimento-web-entre-a-programacao-e-criatividade\/\">Desenvolvimento Web: entre a programa\u00e7\u00e3o e criatividade<\/a> A qualidade do microfone tamb\u00e9m \u00e9 excepcional, e vem com um recurso de cancelamento de ru\u00eddo para que possa utiliz\u00e1-lo numa variedade de ambientes diferentes sem qualquer problema. Tem Wi-Fi e Bluetooth para conectividade, para que possa transferir rapidamente ficheiros entre os seus dispositivos sem qualquer interrup\u00e7\u00e3o. O seu touchpad \u00e9 tamb\u00e9m espa\u00e7oso, pelo que pode mover rapidamente o seu cursor sem quaisquer problemas.<\/p>\n<h2>Parte 1: O que \u00e9 um Python Notebook?<\/h2>\n<p>Este laptop tamb\u00e9m possui NVIDIA GeForce RTX 3060 com uma mem\u00f3ria de v\u00eddeo dedicada, excelente para projetos de ci\u00eancia de dados, pois permite que voc\u00ea veja todos os detalhes de seus conjuntos de dados com clareza, sem atrasos ou interrup\u00e7\u00f5es. Seu processador \u00e9 excelente e possui <a href=\"https:\/\/piauinoticias.com\/educa%C3%A7%C3%A3o\/114012-trazendo-o-futuro-para-o-presente-explorando-a-ci%C3%AAncia-de-dados-e-machine-learning.html\">https:\/\/piauinoticias.com\/educa%C3%A7%C3%A3o\/114012-trazendo-o-futuro-para-o-presente-explorando-a-ci%C3%AAncia-de-dados-e-machine-learning.html<\/a> uma placa de v\u00eddeo incr\u00edvel para jogos e ci\u00eancia de dados. Sua placa gr\u00e1fica pode lidar com qualquer jogo em alta resolu\u00e7\u00e3o ou fazer ci\u00eancia de dados de maneira significativa, al\u00e9m do processador ser bom o suficiente para trabalhar confortavelmente com grandes conjuntos de dados.<\/p>\n<h2>Udacity: Data Scientist<\/h2>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"300px\" alt=\"melhor notebook para ci\u00eancia de dados\"\/><\/p>\n<p>A biblioteca Keras \u00e9 modular, extens\u00edvel e flex\u00edvel, tornando-a uma op\u00e7\u00e3o amig\u00e1vel para iniciantes. V\u00e1rias implementa\u00e7\u00f5es de notebooks do Jupyter s\u00e3o muito populares em ci\u00eancia de dados. Alguns casos comuns de uso s\u00e3o a an\u00e1lise explorat\u00f3ria de dados, a experimenta\u00e7\u00e3o com dados e com a consulta a eles e a prototipagem de modelos. Aproximadamente 40% dos profissionais de ci\u00eancia de dados usam notebooks do Jupyter para apresentar os resultados do seu trabalho, mas \u00e9 interessante observar que muitos (quase 50%) usam notebooks do Jupyter em apenas 10%\u201320% do seu tempo. E uma das tarefas mais importantes do trabalho do Cientista de Dados, \u00e9 ser capaz de transmitir tudo aquilo que os dados querem dizer.<\/p>\n<h2>Situs Web yang Paling Aneh<\/h2>\n<ul>\n<li>Nele voc\u00ea vai conhecer e praticar as principais fun\u00e7\u00f5es do Excel no uso de dados.<\/li>\n<li>A biblioteca possui uma ampla gama de aplica\u00e7\u00f5es, inclusive sendo usada para construir programas de rastreamento que recuperam dados estruturados da web.<\/li>\n<li>Os nossos alunos contam com um material did\u00e1tico especial e exclusivo, al\u00e9m de uma equipe pedag\u00f3gica sempre aberta ao di\u00e1logo e disposta a trocar conhecimentos para al\u00e9m das aulas.<\/li>\n<li>Boa parte do framework de Data Science e Big Data, foi constru\u00edda sobre plataforma Unix.<\/li>\n<\/ul>\n<p>Afinal de contas, ir\u00e1 trabalhar com grandes conjuntos de dados e executar algoritmos complexos. A Carta Gr\u00e1fica GeForce RTX 3050 Ti \u00e9 tamb\u00e9m uma boa escolha para trabalhar em projectos gr\u00e1ficos intensivos, o que \u00e9 excelente para tarefas de ci\u00eancia de dados que requerem muita renderiza\u00e7\u00e3o e manipula\u00e7\u00e3o gr\u00e1fica. Tem tamb\u00e9m uma SSD r\u00e1pida de 1TB PCIe NVMe que lhe permitir\u00e1 transferir dados r\u00e1pida e facilmente.<\/p>\n<div style='text-align:center'><iframe width='568' height='319' src='https:\/\/www.youtube.com\/embed\/bYNbe3gUu8Y' frameborder='0' alt='melhor notebook para ci\u00eancia de dados' allowfullscreen><\/iframe><\/div>\n<h2>Depura\u00e7\u00e3o com Notebooks Python<\/h2>\n<p>Voc\u00ea pode usar v\u00e1rias m\u00e9tricas para avaliar seu modelo e exibir os resultados de forma clara e compreens\u00edvel. Para estudar num computador para ci\u00eancia de dados, eu consigo facilmente colocar o processador em 100%, a RAM em 100% (com 16GB de RAM) e consigo at\u00e9 fazer algumas coisas que travam nesse calor. Para mim, 16GB (ou 8GB e um slot livre) \u00e9 o recomendado m\u00ednimo na hora de tentar rodar coisas com aulas abertas no navegador, notion, etc. Comece com as melhores ferramentas de ci\u00eancia de dados testadas, configuradas e pr\u00e9-carregadas em seu laptop ou desktop de ci\u00eancia de dados. A ci\u00eancia dos dados \u00e9 um campo exigente, e precisa de uma m\u00e1quina que possa lidar com todas as suas necessidades. O tamanho e o peso do port\u00e1til s\u00e3o tamb\u00e9m factores importantes a considerar quando se compra um port\u00e1til para a ci\u00eancia dos dados.<\/p>\n<p>O curso de Forma\u00e7\u00e3o Data Science da Alura tem uma carga hor\u00e1ria de 102 horas, e um total de 5 professores envolvidos. N\u00e3o \u00e9 necess\u00e1rio ter conhecimento avan\u00e7ado em Excel, mas sim uma familiaridade com o programa. At\u00e9 quem n\u00e3o possui tanta experi\u00eancia em programa\u00e7\u00e3o pode aproveitar o curso, que aborda desde metodologias b\u00e1sicas a avan\u00e7adas. O curso ensina a utilizar o ggplot2 para a cria\u00e7\u00e3o de gr\u00e1ficos personalizados, al\u00e9m de mostrar erros comuns das visualiza\u00e7\u00f5es em gr\u00e1ficos.<\/p>\n<h2>Brasileiro m\u00e9dio e o Macbook como computador para ci\u00eancia de dados<\/h2>\n<p>N\u00e3o importa quanta mem\u00f3ria ou armazenamento voc\u00ea tenha, se a CPU for muito lenta, ela simplesmente n\u00e3o ser\u00e1 capaz de acompanhar o que voc\u00ea precisa fazer. Idealmente, um processador de som deve ser pelo menos um i-series (iCore), embora algumas CPUs mais poderosas tamb\u00e9m possam ser suficientes, dependendo do que mais seu laptop tem a oferecer. As estruturas Python de rastreamento da Web r\u00e1pidas e de c\u00f3digo aberto costumam ser usadas para extrair dados da p\u00e1gina da Web com a ajuda de seletores baseados em XPath. Uma das escolhas mais populares para ci\u00eancia de dados, o Matplotlib tem uma variedade de aplica\u00e7\u00f5es.<\/p>\n<div style='text-align:center'><iframe width='567' height='316' src='https:\/\/www.youtube.com\/embed\/kPPSD24fyu4' frameborder='0' alt='melhor notebook para ci\u00eancia de dados' allowfullscreen><\/iframe><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Tem uma porta LAN 1x RJ45 para que se possa ligar facilmente \u00e0 Internet sem qualquer problema. Este port\u00e1til tamb\u00e9m vem com um ecr\u00e3 de 15,6&#8243; Full HD 300Hz 1920 x 1080 IPS-Type PANTONE Validated que lhe permitir\u00e1 ver todos os seus dados de forma clara e f\u00e1cil, sem quaisquer problemas. Isto significa que pode [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-177","post","type-post","status-publish","format-standard","hentry","category-bootcamp-de-programacao-3"],"_links":{"self":[{"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/posts\/177","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/drzakery.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=177"}],"version-history":[{"count":1,"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/posts\/177\/revisions"}],"predecessor-version":[{"id":178,"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/posts\/177\/revisions\/178"}],"wp:attachment":[{"href":"https:\/\/drzakery.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=177"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/drzakery.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=177"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/drzakery.ir\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}