{"id":384,"date":"2022-06-17T16:16:34","date_gmt":"2022-06-17T16:16:34","guid":{"rendered":"https:\/\/drfarshadmohammadian.ir\/?p=384"},"modified":"2024-05-22T21:49:04","modified_gmt":"2024-05-22T21:49:04","slug":"guia-completo-de-logica-de-programacao-conceitos","status":"publish","type":"post","link":"https:\/\/drfarshadmohammadian.ir\/index.php\/2022\/06\/17\/guia-completo-de-logica-de-programacao-conceitos\/","title":{"rendered":"Guia Completo de L\u00f3gica de Programa\u00e7\u00e3o: Conceitos Essenciais e Exemplos Pr\u00e1ticos"},"content":{"rendered":"<p>Nesta se\u00e7\u00e3o, exploraremos os conceitos de algoritmos e fluxogramas, elementos essenciais na l\u00f3gica de programa\u00e7\u00e3o que ajudam a planejar e organizar a resolu\u00e7\u00e3o de problemas de maneira sistem\u00e1tica. Quanto mais voc\u00ea se familiarizar com a abordagem passo a passo, a decomposi\u00e7\u00e3o e a pr\u00e1tica de exemplos, mais confiante se tornar\u00e1 na resolu\u00e7\u00e3o de problemas complexos usando a l\u00f3gica de programa\u00e7\u00e3o. A jornada de aprendizado da l\u00f3gica de programa\u00e7\u00e3o exige  dedica\u00e7\u00e3o, pr\u00e1tica constante e disposi\u00e7\u00e3o para resolver desafios. Ao domin\u00e1-la, voc\u00ea adquire as ferramentas essenciais para resolver problemas de maneira l\u00f3gica e eficiente, criando solu\u00e7\u00f5es \u00fateis e inovadoras por meio da codifica\u00e7\u00e3o. O algoritmo assume um papel fundamental uma vez que representa uma disciplina base na qual muitas outras dependem, dentre elas, as de linguagem de programa\u00e7\u00e3o.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"300px\" alt=\"logica programa\u00e7\u00e3o\"\/><\/p>\n<h2>L\u00f3gica de Programa\u00e7\u00e3o: Como Aprender e Praticar [Completo]<\/h2>\n<p>O objetivo central da l\u00f3gica \u00e9 encontrar uma maneira de formalizar nosso pensamento, ou seja, transform\u00e1-lo em algo organizado e compreens\u00edvel, para que seja poss\u00edvel replic\u00e1-lo em determinados contextos e estud\u00e1-lo mais a fundo. CodeChef organiza competi\u00e7\u00f5es mensais de programa\u00e7\u00e3o, com problemas variados e premia\u00e7\u00f5es. Voc\u00ea tamb\u00e9m pode acessar o arquivo de problemas anteriores e praticar no seu pr\u00f3prio ritmo. J\u00e1 programei usando Java, PHP,C#, PostgreSQL e MySQL, <a href=\"https:\/\/www.horabrasil.com.br\/2024\/05\/14\/desenvolvimento-web-entre-a-programacao-e-criatividade\/\">https:\/\/www.horabrasil.com.br\/2024\/05\/14\/desenvolvimento-web-entre-a-programacao-e-criatividade\/<\/a> al\u00e9m de j\u00e1 ter atuado com suporte tamb\u00e9m. Outra forma bem interessante de representar algoritmos \u00e9 utilizando uma pseudo-linguagem, que escrevemos em portugu\u00eas (tamb\u00e9m chamado de portugu\u00eas estruturado) sem ambiguidades e sem toda a rigidez de uma linguagem de programa\u00e7\u00e3o. Quando a necessidade \u00e9 desenvolver um programa ou rotina a ser executada pelo computador, precisamos deixar bem claro a sequ\u00eancia que deve ser seguida para atingir o resultado esperado.<\/p>\n<h2>Pr\u00f3ximas etapas no aprendizado de l\u00f3gica de programa\u00e7\u00e3o<\/h2>\n<ul>\n<li>Outra forma bem interessante de representar algoritmos \u00e9 utilizando uma pseudo-linguagem, que escrevemos em portugu\u00eas (tamb\u00e9m chamado de portugu\u00eas estruturado) sem ambiguidades e sem toda a rigidez de uma linguagem de programa\u00e7\u00e3o.<\/li>\n<li>Elas possuem opera\u00e7\u00f5es espec\u00edficas para adicionar e remover elementos, seguindo uma l\u00f3gica espec\u00edfica.<\/li>\n<li>A quarta etapa ser\u00e1 exemplificada atrav\u00e9s de comandos de estruturas b\u00e1sicas, demonstrando que todo algoritmo como um todo \u00e9 um bloco de instru\u00e7\u00f5es, ent\u00e3o deve ser delimitado pelos comandos in\u00edcio e fim.<\/li>\n<li>J\u00e1 o acad\u00eamico Gilson Klotz est\u00e1 desenvolvendo um Sistema Especialista que auxilie os alunos que apresentam dificuldades de reda\u00e7\u00e3o.<\/li>\n<li>Os loops s\u00e3o usados para executar um bloco de c\u00f3digo repetidamente na l\u00f3gica de programa\u00e7\u00e3o.<\/li>\n<li>E o mais importante, temos um olhar humano para o desenvolvimento do aluno ou aluna, empoderando-as para o futuro.<\/li>\n<\/ul>\n<p>Elas possuem opera\u00e7\u00f5es espec\u00edficas para adicionar e remover elementos, seguindo uma l\u00f3gica espec\u00edfica. Aqui na Alura preferimos come\u00e7ar de imediato com a pr\u00e1tica e aprender a l\u00f3gica resolvendo problemas reais. Recomendamos fortemente que voc\u00ea escolha uma linguagem que tenha menos barreiras na curva de aprendizagem, como JavaScript ou Python. As Estruturas Condicionais s\u00e3o usadas para garantir o fluxo de execu\u00e7\u00e3o dos algoritmos, como \u201cse\u201d, \u201cent\u00e3o\u201d e \u201csen\u00e3o\u201d. Elas permitem que o programa escolha entre diferentes caminhos com base em condi\u00e7\u00f5es. Em ess\u00eancia, a l\u00f3gica de programa\u00e7\u00e3o est\u00e1 relacionada \u00e0 sequ\u00eancia das a\u00e7\u00f5es que ser\u00e3o tomadas para que se desenvolva um programa ou para que um problema seja resolvido.<\/p>\n<h2>Quanto tempo leva para aprender a l\u00f3gica de programa\u00e7\u00e3o?<\/h2>\n<div style='text-align:center'><iframe width='566' height='317' src='https:\/\/www.youtube.com\/embed\/HXddFUe6VPU' frameborder='0' alt='logica programa\u00e7\u00e3o' allowfullscreen><\/iframe><\/div>\n<p>Ela pode ser aplicada em diversas situa\u00e7\u00f5es do cotidiano, tais como organiza\u00e7\u00e3o de eventos, planejamento de projetos, estrutura\u00e7\u00e3o de neg\u00f3cios e desenvolvimento de projetos criativos. A l\u00f3gica de programa\u00e7\u00e3o refere-se \u00e0 organiza\u00e7\u00e3o e planejamento de um problema em passos sucessivos e encadeados de forma l\u00f3gica, para que o computador possa entender e execut\u00e1-los. Esta abordagem ajuda a entender a l\u00f3gica de programa\u00e7\u00e3o que est\u00e1 sendo escrita sem muita complexidade  o que facilita o entendimento de programa\u00e7\u00e3o e ajuda a entender como os algoritmos s\u00e3o executados em computadores. Um algoritmo representa uma sequ\u00eancia finita de passos l\u00f3gicos projetada para resolver um problema ou executar uma tarefa espec\u00edfica.<\/p>\n<ul>\n<li>As estruturas condicionais s\u00e3o utilizadas para tomar decis\u00f5es dentro do c\u00f3digo na l\u00f3gica de programa\u00e7\u00e3o.<\/li>\n<li>Dizer que um problema precisa de solu\u00e7\u00e3o frequentemente equivale a perguntar se uma nova hip\u00f3tese \u00e9 consistente com uma teoria existente ou se \u00e9 consequ\u00eancia dela.<\/li>\n<li>Afinal, estaremos literalmente descrevendo as a\u00e7\u00f5es com a estrutura sint\u00e1tica do nosso sistema lingu\u00edstico.<\/li>\n<li>Do contr\u00e1rio, quem est\u00e1 recebendo as instru\u00e7\u00f5es pode interpretar errado ou simplesmente n\u00e3o saber o que fazer.<\/li>\n<\/ul>\n<p>Os conceitos b\u00e1sicos da l\u00f3gica de programa\u00e7\u00e3o s\u00e3o os princ\u00edpios fundamentais que guiam o desenvolvimento de algoritmos e programas de computador. Eles s\u00e3o universais, logo, est\u00e3o presentes e se repetem em basicamente todas as linguagens de programa\u00e7\u00e3o. A l\u00f3gica de programa\u00e7\u00e3o \u00e9 o alicerce fundamental no mundo da computa\u00e7\u00e3o, sendo a habilidade essencial que permite a cria\u00e7\u00e3o de softwares, <a href=\"https:\/\/www.promobe.com.br\/ciencia-de-dados\/\">forma\u00e7\u00e3o cientista de dados<\/a> aplicativos e sistemas complexos. Trata-se de um conhecimento b\u00e1sico para compreender o racioc\u00ednio por tr\u00e1s da linguagem dos computadores. A cria\u00e7\u00e3o de algoritmos para resolver os problemas \u00e9 uma das maiores dificuldades dos iniciantes em programa\u00e7\u00e3o em computadores. Isto porque n\u00e3o existe um conjunto de regras, ou seja, um algoritmo, que nos permita criar algoritmos.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nesta se\u00e7\u00e3o, exploraremos os conceitos de algoritmos e fluxogramas, elementos essenciais na l\u00f3gica de programa\u00e7\u00e3o que ajudam a planejar e organizar a resolu\u00e7\u00e3o de problemas de maneira sistem\u00e1tica. Quanto mais voc\u00ea se familiarizar com a abordagem passo a passo, a decomposi\u00e7\u00e3o e a pr\u00e1tica de exemplos, mais confiante se tornar\u00e1 na resolu\u00e7\u00e3o de problemas complexos [&hellip;]<\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-384","post","type-post","status-publish","format-standard","hentry","category-bootcamp-de-programacao-4"],"_links":{"self":[{"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/posts\/384","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/comments?post=384"}],"version-history":[{"count":1,"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/posts\/384\/revisions"}],"predecessor-version":[{"id":385,"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/posts\/384\/revisions\/385"}],"wp:attachment":[{"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/media?parent=384"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/categories?post=384"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/drfarshadmohammadian.ir\/index.php\/wp-json\/wp\/v2\/tags?post=384"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}