From fc376e8311942f7b753fe232137adf31ea06e7b4 Mon Sep 17 00:00:00 2001 From: Henrique Branco Date: Tue, 24 Sep 2024 08:53:49 -0300 Subject: [PATCH] =?UTF-8?q?feat:=20se=C3=A7=C3=A3o=20de=20m=C3=B3dulos=20n?= =?UTF-8?q?ativos=20+=20desafio?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- book/09-modulos/01-introducao.ipynb | 20 +- book/09-modulos/02-modulos-nativos.ipynb | 244 ++++++++++++++++++ book/_config.yml | 4 + book/_toc.yml | 1 + book/gifs/09-01-tapa-na-cara.gif | Bin 0 -> 1090659 bytes book/img/09-02-distancia-se-congonhas.png | Bin 0 -> 647199 bytes .../09-02-distancia-se-congonhas.presso | Bin 0 -> 629161 bytes 7 files changed, 266 insertions(+), 3 deletions(-) create mode 100644 book/09-modulos/02-modulos-nativos.ipynb create mode 100644 book/gifs/09-01-tapa-na-cara.gif create mode 100644 book/img/09-02-distancia-se-congonhas.png create mode 100644 book/img/Originals/09-02-distancia-se-congonhas.presso diff --git a/book/09-modulos/01-introducao.ipynb b/book/09-modulos/01-introducao.ipynb index 2e74d7d..1656182 100644 --- a/book/09-modulos/01-introducao.ipynb +++ b/book/09-modulos/01-introducao.ipynb @@ -11,8 +11,20 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Até o momento trabalhamos em um arquivo único que era executado do começo ao fim. A partir de agora vamos começar a trabalhar com mais arquivos para organizar melhor nosso código e permitir aumentar a complexidade dos programas. Neste capítulo, exploraremos um dos conceitos fundamentais da programação em Python: os módulos. \n", - "\n", + "Até o momento trabalhamos em um arquivo único que era executado do começo ao fim. A partir de agora vamos começar a trabalhar com mais arquivos para organizar melhor nosso código e permitir aumentar a complexidade dos programas. Neste capítulo, exploraremos um dos conceitos fundamentais da programação em Python: os módulos." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Definição" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "Um módulo em Python é simplesmente um arquivo contendo definições e declarações Python. O nome do arquivo é o nome do módulo com a extensão `.py` adicionada. Os módulos permitem que você organize seu código de maneira lógica e reutilizável. Até o momento trabalhamos em um arquivo único que era executado do começo ao fim. A partir de agora vamos começar a trabalhar com mais arquivos para organizar melhor nosso código e permitir aumentar a complexidade dos programas." ] }, @@ -114,7 +126,9 @@ "\n", "```{image} ../img/09-01-pypi.png\n", ":width: 800\n", - "```" + "```\n", + "\n", + "Na próxima seção, vamos começar explorando o básico de módulos, começando pelos módulos nativos. Te vejo lá!" ] } ], diff --git a/book/09-modulos/02-modulos-nativos.ipynb b/book/09-modulos/02-modulos-nativos.ipynb new file mode 100644 index 0000000..db47a8b --- /dev/null +++ b/book/09-modulos/02-modulos-nativos.ipynb @@ -0,0 +1,244 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Módulos nativos" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Conforme já mencionamos na seção anterior, o Python traz uma série de módulos nativos prontos para uso. Nesta seção, vamos explorar o conceito básico de importações de módulos e alguns módulos nativos que podem ser úteis em diversas situações. Como já disse, a lista de módulos nativos é enorme, e a ideia é apenas dar um passo inicial nesse mundo. Você pode explorar a lista completa de módulos nativos na [documentação oficial](https://docs.python.org/3/library/index.html)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Importação de módulos" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Importando um módulo inteiro" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Diferentemente de funções nativas, módulos nativos precisam ser importados antes de serem utilizados. \n", + "\n", + "A sintaxe de importação a princípio é simples:\n", + "\n", + "```python\n", + "import \n", + "```\n", + "\n", + "Para isso, utilizamos a palavra-chave `import` seguida do nome do módulo. Por exemplo, para importar o módulo `math`, que contém funções matemáticas, usamos a seguinte sintaxe:\n", + "\n", + "```python\n", + "import math\n", + "```\n", + "\n", + "Aqui estamos trazendo para o escopo do nosso programa o módulo `math`, que contém uma série de funcionalidades matemáticas. Como um módulo é um arquivo `.py` contendo uma série de funções, métodos, classes, variáveis e outras coisas, podemos acessar esses elementos utilizando a notação de ponto. Por exemplo, para acessar a função `sqrt` do módulo `math`, para calcular a raiz quadrada de um número, fazemos:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import math # (1)\n", + "\n", + "print(math.sqrt(16)) # (2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Do código acima, podemos entender as etapas:\n", + "\n", + "1. Importamos o módulo `math` com a palavra-chave `import` trazendo para o escopo do nosso programa todas as funcionalidades contidas nesse módulo.\n", + "2. Acessamos a função `sqrt` do módulo `math` utilizando a notação de ponto, `math.sqrt()`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Importando objetos específicoss" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Quando fazemos a importação do módulo inteiro com `import math`, estamos trazendo para o escopo do nosso programa todas as funcionalidades contidas no módulo `math`. No entanto, em muitos casos, não precisamos de todas as funcionalidades de um módulo, e importar o módulo inteiro pode não ser necessário. Nesses casos, podemos importar funções e variáveis específicas de um módulo ao invés de importar o módulo inteiro.\n", + "\n", + "A sintaxe para importar apenas partes específicas de um módulo é a seguinte:\n", + "\n", + "```python\n", + "from import \n", + "```\n", + "\n", + "Por exemplo, para importar apenas a função `sqrt` do módulo `math`, fazemos:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from math import sqrt\n", + "\n", + "print(sqrt(16))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Aqui, diferentemente do exemplo anterior, estamos importando apenas a função `sqrt` do módulo `math`. Com isso, não precisamos mais utilizar a notação de ponto para acessar a função `sqrt`, e podemos utilizá-la diretamente no nosso código. Se quisermos importar várias funções ou variáveis de um módulo, podemos fazer isso separando os nomes por vírgula:\n", + "\n", + "```python\n", + "from math import sqrt, pi\n", + "```\n", + "\n", + "Neste exemplo, estamos trazendo para o escopo do nosso programa a função `sqrt` e a variável matemática `pi` do módulo `math`.\n", + "\n", + "Caso queira acessar a documentação oficial do módulo `math`, você pode acessar [este link](https://docs.python.org/3/library/math.html). Conforme disse (e vou repetir várias vezes), a lista de módulos nativos é enorme, e a ideia é apenas dar uma visão geral sobre o conceito de módulos. Recomendo fortemente que você explore a lista completa de módulos nativos na [documentação oficial](https://docs.python.org/3/library/index.html)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Um pequeno desafio matemático" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Antes sequer de apresentar o desafio, vou fazer um comentário para deixar claro algo que sempre me perguntam sobre *problemas reais* em programação. \n", + "\n", + "Programação é só uma ferramenta, um meio para resolver um problema fim. Caso você não saiba a área do problema fim (biologia, matemática, direito, medicina, finanças, RH, esporte, seja lá qual área for), de nada adianta você saber programar...\n", + "\n", + "```{image} ../gifs/09-01-tapa-na-cara.gif\n", + ":name: tapa-na-cara\n", + "```\n", + "\n", + "... desculpem por esse *tapa na cara*, mas essa é a realidade que pouquíssima gente fala (talvez porque falar a verdade não vende, sei lá, mas meu livro é meu e é de graça, então posso falar...)\n", + "\n", + "Dito isso, vamos ao desafio, que envolve um pouco de geografia e matemática:\n", + "\n", + "> A superfície da Terra é curva, e a distância entre graus de longitude varia com a latitude. Como resultado, encontrar a distância em linha reta entre dois pontos na superfície da Terra considerando a sua curvatura é mais complicado do que simplesmente usar o teorema de Pitágoras.\n", + "> \n", + "> Sejam (lat1, long1) e (lat2, long2) a latitude e longitude de dois pontos na superfície da Terra. A distância entre esses pontos, em linha reta, seguindo a superfície da Terra, em quilômetros (km) é:\n", + "> \n", + "> $$\\text{distância}=6371.01\\times\\arccos(\\sin(lat_1)\\times\\sin(lat_2)+\\cos(lat_1)\\times\\cos(lat_2)\\times\\cos(long_1-long_2))$$\n", + "> \n", + "> O valor 6371.01 na equação anterior não foi selecionado aleatoriamente. É o raio médio da Terra em quilômetros.\n", + "> \n", + "> Crie um programa que exiba a distância entre os pontos dados, seguindo a superfície da terra, em quilômetros.\n", + "> ```{admonition} Dica (radianos)\n", + "> :class: hint\n", + ">\n", + "> As funções trigonométricas do Python operam em radianos. Como resultado, você precisará converter as coordenadas de graus para radianos antes de calcular a distância com a fórmula discutida anteriormente. O módulo `math` contém uma função chamada radians que converte de graus para radianos.\n", + "> ```\n", + "\n", + "Este é um problema real! Depois da resolução, vou mostrar que o Google Maps mostra exatamente a mesma distância entre dois pontos que o nosso programa. Vamos lá!" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A distância em linha reta entre os dois pontos dados é de 8.95 km\n" + ] + } + ], + "source": [ + "import math\n", + "\n", + "\n", + "def calcular_distancia(lat1, lon1, lat2, lon2):\n", + " # Converter graus para radianos\n", + " lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2])\n", + "\n", + " distancia = 6371.01 * math.acos(\n", + " math.sin(lat1) * math.sin(lat2)\n", + " + math.cos(lat1) * math.cos(lat2) * math.cos(lon1 - lon2)\n", + " )\n", + "\n", + " return distancia\n", + "\n", + "\n", + "# ponto 1: coordenadas da praça da Sé em São Paulo capturadas usando Google Maps\n", + "lat_praca_da_se = -23.550305025464485\n", + "lon_praca_da_se = -46.634182529683606\n", + "\n", + "# ponto 2: coordenadas do aeroporto de Congonhas em São Paulo capturadas usando Google Maps\n", + "lat_aeroporto_congonhas = -23.627975178268755\n", + "long_aeroporto_congonhas = -46.65714724537711\n", + "\n", + "distancia = calcular_distancia(\n", + " lat_praca_da_se, lon_praca_da_se, lat_aeroporto_congonhas, long_aeroporto_congonhas\n", + ")\n", + "\n", + "print(f\"A distância em linha reta entre os dois pontos dados é de {distancia:.2f} km\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Vejam no print abaixo que a distância do nosso programa é exatamente a mesma do Google Maps.\n", + "\n", + "```{image} ../img/09-02-distancia-se-congonhas.png\n", + ":height: 800px\n", + "```\n", + "\n", + "```{admonition} Nota (distância em linha reta!)\n", + ":class: note\n", + "Apesar de aparecer no print a distância do trajeto de carro de 10 km, o que calculamos é a distância em linha reta entre dois pontos na superfície da Terra considerando sua curvatura.\n", + "```" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/book/_config.yml b/book/_config.yml index 40a3a9a..a2cc206 100644 --- a/book/_config.yml +++ b/book/_config.yml @@ -40,3 +40,7 @@ parse: # don't forget to list any other extensions you want enabled, # including those that are enabled by default! 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