Topico1_Conceitos Básicos.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[{"file_id":"1RxxjgWI9EjnAy5ICVg2uP5SoVdkL72BI","timestamp":1713523553682}]},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["Tipos de Dados"],"metadata":{"id":"VFpdYQWf_dXs"}},{"cell_type":"code","source":["print(type(2))\n","print(type(-2))\n","print(type('2'))\n","print(type(2.5))\n","print(type([1,2,3]))\n","print(type(('a',1.2,3)))\n","print(type('João'))"],"metadata":{"id":"tcvm0pl__qEN","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1710504512671,"user_tz":180,"elapsed":25,"user":{"displayName":"Cláudio Fabiano Motta Toledo","userId":"07663918228377910801"}},"outputId":"d64e5878-ef37-451e-ca67-a2c39f5bde6b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'int'>\n","<class 'int'>\n","<class 'str'>\n","<class 'float'>\n","<class 'list'>\n","<class 'tuple'>\n","<class 'str'>\n"]}]},{"cell_type":"markdown","source":["Variáveis"],"metadata":{"id":"pNUWnqitA5iJ"}},{"cell_type":"code","source":["# print(f'Variáveis mudam de valor e tipo dinamicamente\\n')\n","# a=2\n","# print(a,type(a))\n","# a='João'\n","# print(a,type(a))\n","# a=-2\n","# print(a,type(a))\n","\n","# print(f'\\nFormatando Saída\\n')\n","# x,y = 'joao',2.5\n","# print(x,y)\n","# print(f'Ex1:{x} é uma {type(x)} e {y} é um {type(y)}')\n","# print(f'Ex2:{x=} é uma {type(x)} e {y=} é um {type(y)}')\n","# print('Ex3:{0} é uma {1} e {2} é um {3}'.format(x, type(x),y,type(y)))\n","# import math\n","# s= f'O valor aproximado de pi é {math.pi:.6f}.'\n","# print(s)\n","\n","# print(f'\\nOperações básicas\\n')\n","# a,b=5,2\n","# print(f'{a}+{b}={a+b}\\n{a}*{b}={a*b}\\n{a}/{b}={a/b}\\n{a}//{b}={a//b}')\n","# print(f'{a}%{b}={a%b}\\n{a}**{b}={a**b}')\n","# print(f'{a}=={b}:{a==b}',end=\",\")\n","# print(f'\\n{a}>{b}:{a>b}\\n{a}<{b}:{a<b}\\n{a}>={b}:{a>=b}\\n{a}<={b}:{a<=b}\\n{a}!={b}:{a!=b}')\n","\n","# print(f'\\nNotação curta\\n')\n","# a,b=5,2\n","# a+=b #a=a+b\n","# print(a)\n","# a*=b #a=a*b\n","# print(a)\n","\n","print(f'\\nAtribuição de valores\\n')\n","x,y = 2,3\n","print(f'{x=},{y=}')\n","x, y = y,x\n","print(f'{x=},{y=}')\n","alunos=['joao','maria','ana']\n","print(alunos, alunos[0],alunos[2])\n"],"metadata":{"id":"kcFs0Uo-A8_c","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1710505847213,"user_tz":180,"elapsed":8,"user":{"displayName":"Cláudio Fabiano Motta Toledo","userId":"07663918228377910801"}},"outputId":"74f2cffb-39be-4ddd-fe0b-7e24a12aa8ef"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Atribuição de valores\n","\n","x=2,y=3\n","x=3,y=2\n","['joao', 'maria', 'ana'] joao ana\n"]}]},{"cell_type":"markdown","metadata":{"id":"8GZTVYjVh0ET"},"source":["#Strings\n","![Strings - Fig1.png](data:image/png;base64,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)\n"]},{"cell_type":"code","metadata":{"id":"PptCFBr1pctH","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1710507842904,"user_tz":180,"elapsed":420,"user":{"displayName":"Cláudio Fabiano Motta Toledo","userId":"07663918228377910801"}},"outputId":"5b7d2734-6b42-4aaa-ec31-1dfd1ce85e57"},"source":["# print(f'\\nCase sensitive\\n')\n","# st= 'Maria'\n","# print(\"Ana\" != 'ana')\n","# print(\"ana\" > 'Ana')\n","# print(\"João\" > 'Ana')\n","\n","# st='Maria'\n","# print(f'\\nÍndices e fatiamento st=Maria \\n')\n","# print(\"st[1:4] =>\",st[1:4])\n","# print(\"st[::2] =>\",st[::2])\n","# print(\"st[1:4:2] =>\",st[1:4:2])\n","# print(\"st[: : ] =>\",st[: : ])\n","# print(\"st[0:len(st):1] =>\",st[0:len(st):1])\n","\n","# st='Maria'\n","# print(f'\\nÍndices em ordem inversa Maria\\n')\n","# print(\"st[-1:]=>\",st[-1:])\n","# print(\"st[-3:]=>\",st[-3:])\n","# print(\"st[-4:]=>\",st[-4:])\n","# print(\"st[-len(st):]=>\",st[-len(st):])\n","# print(\"st[: : -1] =>\",st[: : -1])\n","# print(\"st[-1:- (len(st)+1) : -1] =>\",st[-1:- (len(st)+1) : -1])\n","# print(\"st[-1:-6:-1] =>\",st[-1:-6:-1])\n","# print(\"st[-1:-4:-1] =>\",st[-1:-4:-1])\n"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Índices em ordem inversa Maria\n","\n","st[-1:]=> a\n","st[-3:]=> ria\n","st[-4:]=> aria\n","st[-len(st):]=> Maria\n","st[: : -1] => airaM\n","st[-1:- (len(st)+1) : -1] => airaM\n","st[-1:-6:-1] => airaM\n","st[-1:-4:-1] => air\n"]}]},{"cell_type":"code","metadata":{"id":"ff3bT7mdrain","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1710508135847,"user_tz":180,"elapsed":461,"user":{"displayName":"Cláudio Fabiano Motta Toledo","userId":"07663918228377910801"}},"outputId":"324937f6-8797-4e9e-f91e-d279f610b683"},"source":["# print(f'\\nOperadores\\n')\n","\n","# s1=\"olá\"\n","# s2=\"mundo\"\n","# s3=s1+s2\n","# print(s3)\n","# s3=s1+\" \"+s2+\"!\"\n","# print(s3)\n","# print(s1*3)\n","# print(s1 in s3)\n","# print(s2 in s3)\n","# print('oi' in s3)\n","# print('oi' not in s3)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Operadores\n","\n","olámundo\n","olá mundo!\n","oláoláolá\n","True\n","True\n","False\n","True\n"]}]},{"cell_type":"code","metadata":{"id":"Jbvm6XVCtQy_","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1710508734422,"user_tz":180,"elapsed":418,"user":{"displayName":"Cláudio Fabiano Motta Toledo","userId":"07663918228377910801"}},"outputId":"1f28f19a-4aa1-4f6e-f93e-cc5994bdd640"},"source":["# print(f'\\nAlgumas funções\\n')\n","\n","# print(f'{ord(\"a\")=},{ord(\"A\")=}')\n","# #print(ord('AB'))\n","# print(f'{ord(\"@\")=},{ord(\"#\")=}')\n","# print(f'{chr(97)=},{chr(65)=},{chr(64)=},{chr(35)=}')\n","# print(f'{chr(190)=}')\n","# print(f'{len(\"Todos devem estudar para a prova, senão......\")=}')\n","# x=2.55\n","# print(f'valor float x={x}')\n","# print(f'string x={str(x)}')\n","# y=str(x)\n","# y=y[0]+','+y[2:len(y)]\n","# print(f'{y=}')\n","# y=y[0]+','+y[2:]\n","# print(f'{y=}')\n","\n","\n"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Algumas funções\n","\n","ord(\"a\")=97,ord(\"A\")=65\n","ord(\"@\")=64,ord(\"#\")=35\n","chr(97)='a',chr(65)='A',chr(64)='@',chr(35)='#'\n","chr(190)='¾'\n","len(\"Todos devem estudar para a prova, senão......\")=45\n","valor float x=2.55\n","string x=2.55\n","y='2,55'\n","y='2,55'\n"]}]},{"cell_type":"code","metadata":{"id":"dk_LHUXuRUaf","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1710508777114,"user_tz":180,"elapsed":406,"user":{"displayName":"Cláudio Fabiano Motta Toledo","userId":"07663918228377910801"}},"outputId":"91b92f50-59a8-4adb-fb6f-7398f0ceb054"},"source":["print(f'\\nAlgumas funções\\n')\n","\n","s=\"JoAo Da SILva\"\n","print(s)\n","print(f'{s.lower()=}')\n","print(f'{s.upper()=}')\n","print(f'{s.swapcase()=}')\n","print(f'{s.title()=}')\n","print(f'{s.capitalize()=}')\n","print(f'{s.count(\"Ao\")=}')\n","print(f'{s.count(\"Ao\",3,9)=}')\n","print(f'{s.find(\"SI\")=}')\n","print(s)\n","\n"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Algumas funções\n","\n","JoAo Da SILva\n","s.lower()='joao da silva'\n","s.upper()='JOAO DA SILVA'\n","s.swapcase()='jOaO dA silVA'\n","s.title()='Joao Da Silva'\n","s.capitalize()='Joao da silva'\n","s.count(\"Ao\")=1\n","s.count(\"Ao\",3,9)=0\n","s.find(\"SI\")=8\n","JoAo Da SILva\n"]}]},{"cell_type":"markdown","metadata":{"id":"EglejWySh7Hx"},"source":["# Saída de dados"]},{"cell_type":"code","metadata":{"id":"jqvnjXSwumAb","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1710509477039,"user_tz":180,"elapsed":449,"user":{"displayName":"Cláudio Fabiano Motta Toledo","userId":"07663918228377910801"}},"outputId":"405bf9d3-063b-46c3-c813-251b6fbe0cb2"},"source":["# nome='joao'\n","# idade=10\n","# peso=30.5\n","# print(f'Nome:{nome} Idade:{idade}  Peso: {peso:.3f}')"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Nome:joao Idade:10  Peso: 30.500\n"]}]},{"cell_type":"markdown","metadata":{"id":"BnNobLcemNKV"},"source":["#Entrada de Dados"]},{"cell_type":"code","metadata":{"id":"SkNGV-3BmRiD","executionInfo":{"status":"ok","timestamp":1710509745238,"user_tz":180,"elapsed":440,"user":{"displayName":"Cláudio Fabiano Motta Toledo","userId":"07663918228377910801"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"3533340b-f57d-4438-ca1f-ff790f4c0b10"},"source":["# print('\\nExemplo 1\\n')\n","# nome,idade,peso=input().split()\n","# idade=int(idade)\n","# peso=float(peso)\n","# print(f'{nome=},{idade=},{peso=}')\n","# print(f'{peso*idade=}')\n","\n","# print('\\nExemplo 2')\n","# s='Joao,20,78,1.88'\n","# nome,idade,peso,altura= s.split(',')\n","# print(f'{nome=},{idade=},{peso=},{altura=}')\n","\n","# print('\\nExemplo 3')\n","# s='Joao#20#78#1.88'\n","# nome,idade,peso,altura= s.split('#')\n","# print(f'{nome=},{idade=},{peso=},{altura=}')\n","\n","# print('\\nExemplo 4')\n","# s='Joao#20#78#1.88'\n","# nome,idade,restante= s.split('#',2)\n","# print(f'{nome=},{idade=},{restante=}')\n"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Exemplo 4\n","nome='Joao',idade='20',restante='78#1.88'\n"]}]},{"cell_type":"code","source":["print('\\nmap()\\n')\n","x,y= map(int, input().split())\n","print(f'{x=},{y=}')\n","x, y = map(float, input().split())\n","print(f'{x=},{y=}')\n"],"metadata":{"id":"4L5YVdjYmx5q","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1710509859512,"user_tz":180,"elapsed":31805,"user":{"displayName":"Cláudio Fabiano Motta Toledo","userId":"07663918228377910801"}},"outputId":"db5a2aa3-5a0d-4a72-894d-576b0a31510b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","map()\n","\n","10 20\n","x=10,y=20\n","1.85 10\n","x=1.85,y=10.0\n"]}]}]}