diff --git a/06-estruturas-de-dados/01-strings.html b/06-estruturas-de-dados/01-strings.html
index 2800e6c..252f8e3 100644
--- a/06-estruturas-de-dados/01-strings.html
+++ b/06-estruturas-de-dados/01-strings.html
@@ -426,6 +426,7 @@ Contents
Métodos mais usados de strings
+Reforço prático - métodos vs funções
@@ -608,7 +609,7 @@ Métodos de strings
Antes de falarmos de métodos, vamos acrescentar um outro conceito: objeto.
Nesta altura, falamos muito sobre tipos de dados (int, float, str). No fundo, tipos de dados são objetos. Ao invés de falar tipo de dado str, podemos falar objeto do tipo str. Absolutamente tudo em Python é um objeto que tem um tipo! Mudar a forma de falar já está o colocando em outro patamar de entendimento sobre programação.
-Vamos agora para definição de método. A dfinição que eu mais gosto é: métodos são funções que estão associadas a um determinado objeto e podem ser usadas para realizar operações nestes. Em termos simples, pense em métodos como ações que você pode realizar com um determinado objeto (int, float, str, etc.).
+Vamos agora para definição de método. A definição que eu mais gosto é: métodos são funções que estão associadas a um determinado objeto e podem ser usadas para realizar operações nestes. Em termos simples, pense em métodos como ações que você pode realizar com um determinado objeto (int, float, str, etc.).
A diferença principal entre métodos e funções é a seguinte:
diff --git a/_sources/06-estruturas-de-dados/01-strings.ipynb b/_sources/06-estruturas-de-dados/01-strings.ipynb
index 55897d5..e0aeff5 100644
--- a/_sources/06-estruturas-de-dados/01-strings.ipynb
+++ b/_sources/06-estruturas-de-dados/01-strings.ipynb
@@ -36,7 +36,7 @@
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+ "execution_count": 7,
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@@ -61,7 +61,7 @@
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- "execution_count": 2,
+ "execution_count": 8,
"metadata": {
"tags": [
"raises-exception"
@@ -73,7 +73,7 @@
"evalue": "invalid syntax (1998578200.py, line 2)",
"output_type": "error",
"traceback": [
- "\u001b[1;36m Cell \u001b[1;32mIn[2], line 2\u001b[1;36m\u001b[0m\n\u001b[1;33m erro_de_sintaxe = \"Ela disse \"Olá mundo!\"\"\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
+ "\u001b[1;36m Cell \u001b[1;32mIn[8], line 2\u001b[1;36m\u001b[0m\n\u001b[1;33m erro_de_sintaxe = \"Ela disse \"Olá mundo!\"\"\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
]
}
],
@@ -99,7 +99,7 @@
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+ "execution_count": 9,
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@@ -128,7 +128,7 @@
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+ "execution_count": 10,
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@@ -171,7 +171,7 @@
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+ "execution_count": 11,
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@@ -195,7 +195,7 @@
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@@ -242,7 +242,7 @@
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@@ -267,7 +267,7 @@
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+ "execution_count": 14,
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@@ -299,7 +299,7 @@
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- "execution_count": 7,
+ "execution_count": 15,
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@@ -353,7 +353,7 @@
"\n",
"Nesta altura, falamos muito sobre tipos de dados (`int`, `float`, `str`). No fundo, tipos de dados são objetos. Ao invés de falar tipo de dado `str`, podemos falar objeto do tipo `str`. Absolutamente tudo em Python é um objeto que tem um tipo! Mudar a forma de falar já está o colocando em outro patamar de entendimento sobre programação.\n",
"\n",
- "Vamos agora para definição de método. A dfinição que eu mais gosto é: métodos são funções que estão associadas a um determinado objeto e podem ser usadas para realizar operações nestes. Em termos simples, pense em métodos como ações que você pode realizar com um determinado objeto (`int`, `float`, `str`, etc.). \n",
+ "Vamos agora para definição de método. A definição que eu mais gosto é: métodos são funções que estão associadas a um determinado objeto e podem ser usadas para realizar operações nestes. Em termos simples, pense em métodos como ações que você pode realizar com um determinado objeto (`int`, `float`, `str`, etc.). \n",
"\n",
"A diferença principal entre métodos e funções é a seguinte:\n",
"\n",
@@ -366,7 +366,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
@@ -422,7 +422,7 @@
"\n",
"Para fins puramente didáticos, vou separar os métodos em casos de uso, trazendo exemplos de uso de cada método.\n",
"\n",
- "1. Transformação de Case\n",
+ "1. Transformação de case\n",
"- `str.upper()`: Converte todos os caracteres da string para maiúsculas.\n",
"- `str.lower()`: Converte todos os caracteres da string para minúsculas.\n",
"- `str.capitalize()`: Converte o primeiro caractere da string para maiúscula e o restante para minúscula.\n",
@@ -431,17 +431,17 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "HENRIQUE BRANCO\n",
- "henrique branco\n",
- "Henrique branco\n",
- "Henrique Branco\n"
+ "UM NOME QUALQUER\n",
+ "um nome qualquer\n",
+ "Um nome qualquer\n",
+ "Um Nome Qualquer\n"
]
}
],
@@ -457,7 +457,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "2. Remoção de Espaços\n",
+ "2. Remoção de espaços\n",
"- `str.lstrip()`: Remove espaços em branco do início da string.\n",
"- `str.rstrip()`: Remove espaços em branco do fim da string.\n",
"- `str.strip()`: Remove espaços em branco do início e do fim da string.\n",
@@ -471,16 +471,16 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Henrique Branco \n",
- " Henrique Branco\n",
- "Henrique Branco\n"
+ "Um texto qualquer com espaços em branco no começo e no final... \n",
+ " Um texto qualquer com espaços em branco no começo e no final...\n",
+ "Um texto qualquer com espaços em branco no começo e no final...\n"
]
}
],
@@ -503,7 +503,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 19,
"metadata": {},
"outputs": [
{
@@ -527,12 +527,259 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "```{admonition} Atenção\n",
+ "```{admonition} Atenção (espaços em branco)\n",
":class: warning\n",
"\n",
"O espaço em branco (deixado propositalmente) é super relevante na comparação de strings, por isso as strings `Python` (sem espaço em branco) e `Python ` (com espaço em branco no final) são diferentes, apesar de ser apenas por um único caracter em branco. Por esta razão tivemos `frase.endswith(\"Python\") = False`\n",
"```"
]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "4. Verificação de caracteres\n",
+ "\n",
+ "Todos estes métodos abaixo verificam se a string contém apenas:\n",
+ "\n",
+ "- `str.islower()`: caracteres minúsculos.\n",
+ "- `str.isupper()`: caracteres maiúsculos\n",
+ "- `str.isalnum()`: caracteres alfanuméricos.\n",
+ "- `str.isalpha()`: caracteres alfabéticos.\n",
+ "- `str.isdigit()`: dígitos.\n",
+ "- `str.isspace()`: espaços em branco."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "olá é todo minúsculo? True\n",
+ "MUNDO é todo maiúsculo? True\n",
+ "olá123 é alfanumérico? True\n",
+ "ola, eu sou um texto puramente alfabético #sqn... é alfabético? False\n",
+ "12345 é dígito? True\n",
+ "' ' é espaço em branco? True\n"
+ ]
+ }
+ ],
+ "source": [
+ "minusculo = \"olá\"\n",
+ "print(f\"{minusculo} é todo minúsculo? {minusculo.islower()}\")\n",
+ "\n",
+ "maiusculo = \"MUNDO\"\n",
+ "print(f\"{maiusculo} é todo maiúsculo? {maiusculo.isupper()}\")\n",
+ "\n",
+ "alfanumerico = \"olá123\"\n",
+ "print(f\"{alfanumerico} é alfanumérico? {alfanumerico.isalnum()}\")\n",
+ "\n",
+ "alfabetico = \"ola, eu sou um texto puramente alfabético #sqn...\"\n",
+ "print(f\"{alfabetico} é alfabético? {alfabetico.isalpha()}\")\n",
+ "\n",
+ "digitos = \"12345\"\n",
+ "print(f\"{digitos} é dígito? {digitos.isdigit()}\")\n",
+ "\n",
+ "espacos = \" \"\n",
+ "print(f\"'{espacos}' é espaço em branco? {espacos.isspace()}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "```{admonition} Nota (caracteres alfabéticos)\n",
+ ":class: note\n",
+ "\n",
+ "O espaço em branco ` ` não é considerado um caracter alfabético, assim como `#`, `,` e `.`. Por outro lado, caracteres com acento, como `á`, são considerados alfabéticos.\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "5. Divisão e junção\n",
+ "\n",
+ "- `str.split()`: Divide a string em uma lista, utilizando um separador especificado.\n",
+ "- `str.join(lista)`: Junta uma lista de strings utilizando um separador especificado.\n",
+ "\n",
+ "```{admonition} Nota (listas)\n",
+ ":class: note\n",
+ "\n",
+ "Lista é uma outra estrutura de dados, que veremos em mais detalhes logo no capítulo seguinte.\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['Lucas', 'Ferreira', 'de', 'Almeida', 'Gomes']\n",
+ "Lucas-Ferreira-de-Almeida-Gomes\n"
+ ]
+ }
+ ],
+ "source": [
+ "nome_completo = \"Lucas Ferreira de Almeida Gomes\"\n",
+ "\n",
+ "lista_de_strings = nome_completo.split()\n",
+ "print(lista_de_strings)\n",
+ "\n",
+ "print(\"-\".join(lista_de_strings))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Por padrão, o `split()` usa um ou mais espaços em branco para separar a string, mas é possível passar outro caracter separador. Vejamos outros exemplos:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['123', '456', '789-10']\n",
+ "['123.456.789', '10']\n"
+ ]
+ }
+ ],
+ "source": [
+ "cpf = \"123.456.789-10\"\n",
+ "\n",
+ "# Dividindo o CPF através do `.`\n",
+ "print(cpf.split(\".\"))\n",
+ "\n",
+ "#Dividindo o CPF através do `-`\n",
+ "print(cpf.split(\"-\"))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Reforço prático - métodos vs funções"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Anteriormente, abordamos a diferença entre métodos e funções de maneira teórica. Agora, vamos revisitar essa diferença com uma abordagem mais prática!\n",
+ "\n",
+ "Nós vimos vários métodos acima. E eu faço a seguinte pergunta agora: como calculamos o tamanho ou comprimento de uma string? Em outras palavras, quantos caracteres tem uma dada string?\n",
+ "\n",
+ "Bom, você pode se lembrar que não vimos todos os métodos disponíveis, e ir procurar na documentação oficial na [lista completa com todos os métodos de string](https://docs.python.org/3/library/stdtypes.html#string-methods). Lá, você vai encontrar algo com `len`, que vem de length (comprimento) do inglês. Ótimo! Este método `len` deve servir então! Vamos testar?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {
+ "tags": [
+ "raises-exception"
+ ]
+ },
+ "outputs": [
+ {
+ "ename": "AttributeError",
+ "evalue": "'str' object has no attribute 'len'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[1;32mIn[24], line 4\u001b[0m\n\u001b[0;32m 1\u001b[0m nome_comprido \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mJoão Antônio da Silva Sauro de Souza Silva Santos\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;66;03m# Contando a quantidade de caracteres deste nome enorme\u001b[39;00m\n\u001b[1;32m----> 4\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mnome_comprido\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlen\u001b[49m()) \u001b[38;5;66;03m# ... ops!\u001b[39;00m\n",
+ "\u001b[1;31mAttributeError\u001b[0m: 'str' object has no attribute 'len'"
+ ]
+ }
+ ],
+ "source": [
+ "nome_comprido = \"João Antônio da Silva Sauro de Souza Silva Santos\"\n",
+ "\n",
+ "# Contando a quantidade de caracteres deste nome enorme\n",
+ "print(nome_comprido.len()) # ... ops!"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Na verdade, de fato o `str.len()` não existe mesmo, pois ele não está na lista de métodos da documentação oficial.\n",
+ "\n",
+ "O que aconteceu afinal de contas? O erro é bem informativo: `AttributeError: 'str' object has no attribute 'len'`, ou seja, strings não possuem o `len`.\n",
+ "\n",
+ "Porém, para medirmos o comprimento de uma string, podemos fazer da seguinte forma:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "nome_comprido = \"João Antônio da Silva Sauro de Souza Silva Santos\"\n",
+ "\n",
+ "# Contando a quantidade de caracteres deste nome enorme\n",
+ "print(len(nome_comprido)) # ... agora sim!"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "É aqui que começamos a entender a diferença entre métodos e funções. Quando estamos acessando `str.len()` estamos acessando **o método `len` de uma string**, que não existe. O que existe é a **função `len()` que recebe uma string**.\n",
+ "\n",
+ "Percebam que não existe `str.len()` na [lista de métodos de uma string](https://docs.python.org/3/library/stdtypes.html#string-methods), e existe a função `len()` na [lista de funções nativas do Python](https://docs.python.org/3/library/functions.html).\n",
+ "\n",
+ "Porque `len()` é uma função e não um método de string? De acordo com a definição que foi dada: *métodos são funções que estão associadas a um determinado objeto*. Notem agora que eu consigo medir o comprimento de outras coisas, como uma lista de itens, por exemplo."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "8\n"
+ ]
+ }
+ ],
+ "source": [
+ "lista_de_numeros = [10, 50, 40, 65, 90, 70, 30, 156]\n",
+ "print(len(lista_de_numeros))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Ou seja, `len()` é uma função que mede o comprimento de uma dada sequencia qualquer. Como strings são sequencia de caracteres, eu consigo medir o comprimento de uma string unsando a função `len()`. Mas notem que **`len()` não é exclusivo de strings**. Métodos são exclusivos de um determinado tipo de objeto, como é o caso de `str.upper()` ou `str.lower()`.\n",
+ "\n",
+ "Conseguiram compreender agora porque usamos `len(string)` e não `string.len()`? Fez sentido?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": []
}
],
"metadata": {
diff --git a/searchindex.js b/searchindex.js
index 4c9f798..f869955 100644
--- a/searchindex.js
+++ b/searchindex.js
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