Skip to content

Commit 02b8799

Browse files
DanielDrabeskiDanielDrabeski
committed
Update Python 3.6.1
1 parent e95142b commit 02b8799

11 files changed

+290
-340
lines changed

‎JupyterNotebooks/Capítulo06/Jupyter Notebook Parte1 - Criando um Banco de Dados SQLite.ipynb

Lines changed: 24 additions & 43 deletions
Original file line numberDiff line numberDiff line change
@@ -9,6 +9,13 @@
99
"## Download: http://github.com/dsacademybr"
1010
]
1111
},
12+
{
13+
"cell_type": "markdown",
14+
"metadata": {},
15+
"source": [
16+
"****** Este Jupyter Notebook foi atualizado para a versão 3.6.1 da Linguagem Python em 05/06/2017 ******"
17+
]
18+
},
1219
{
1320
"cell_type": "markdown",
1421
"metadata": {},
@@ -19,9 +26,7 @@
1926
{
2027
"cell_type": "code",
2128
"execution_count": 1,
22-
"metadata": {
23-
"collapsed": false
24-
},
29+
"metadata": {},
2530
"outputs": [],
2631
"source": [
2732
"# Importando o módulo de acesso ao SQLite\n",
@@ -31,9 +36,7 @@
3136
{
3237
"cell_type": "code",
3338
"execution_count": 2,
34-
"metadata": {
35-
"collapsed": false
36-
},
39+
"metadata": {},
3740
"outputs": [],
3841
"source": [
3942
"# Cria uma conexão com o banco de dados. \n",
@@ -44,9 +47,7 @@
4447
{
4548
"cell_type": "code",
4649
"execution_count": 3,
47-
"metadata": {
48-
"collapsed": false
49-
},
50+
"metadata": {},
5051
"outputs": [
5152
{
5253
"data": {
@@ -79,9 +80,7 @@
7980
{
8081
"cell_type": "code",
8182
"execution_count": 5,
82-
"metadata": {
83-
"collapsed": false
84-
},
83+
"metadata": {},
8584
"outputs": [
8685
{
8786
"data": {
@@ -101,9 +100,7 @@
101100
{
102101
"cell_type": "code",
103102
"execution_count": 6,
104-
"metadata": {
105-
"collapsed": false
106-
},
103+
"metadata": {},
107104
"outputs": [],
108105
"source": [
109106
"# Cria uma instrução sql\n",
@@ -116,14 +113,12 @@
116113
{
117114
"cell_type": "code",
118115
"execution_count": 7,
119-
"metadata": {
120-
"collapsed": false
121-
},
116+
"metadata": {},
122117
"outputs": [
123118
{
124119
"data": {
125120
"text/plain": [
126-
"<sqlite3.Cursor at 0x106807f10>"
121+
"<sqlite3.Cursor at 0x10aaa0f10>"
127122
]
128123
},
129124
"execution_count": 7,
@@ -151,9 +146,7 @@
151146
{
152147
"cell_type": "code",
153148
"execution_count": 9,
154-
"metadata": {
155-
"collapsed": false
156-
},
149+
"metadata": {},
157150
"outputs": [],
158151
"source": [
159152
"# Dados\n",
@@ -165,9 +158,7 @@
165158
{
166159
"cell_type": "code",
167160
"execution_count": 10,
168-
"metadata": {
169-
"collapsed": false
170-
},
161+
"metadata": {},
171162
"outputs": [],
172163
"source": [
173164
"# Inserindo os registros\n",
@@ -202,14 +193,12 @@
202193
{
203194
"cell_type": "code",
204195
"execution_count": 13,
205-
"metadata": {
206-
"collapsed": false
207-
},
196+
"metadata": {},
208197
"outputs": [
209198
{
210199
"data": {
211200
"text/plain": [
212-
"<sqlite3.Cursor at 0x106807f10>"
201+
"<sqlite3.Cursor at 0x10aaa0f10>"
213202
]
214203
},
215204
"execution_count": 13,
@@ -225,9 +214,7 @@
225214
{
226215
"cell_type": "code",
227216
"execution_count": 14,
228-
"metadata": {
229-
"collapsed": false
230-
},
217+
"metadata": {},
231218
"outputs": [],
232219
"source": [
233220
"# Recupera os resultados\n",
@@ -237,9 +224,7 @@
237224
{
238225
"cell_type": "code",
239226
"execution_count": 15,
240-
"metadata": {
241-
"collapsed": false
242-
},
227+
"metadata": {},
243228
"outputs": [
244229
{
245230
"name": "stdout",
@@ -263,9 +248,7 @@
263248
{
264249
"cell_type": "code",
265250
"execution_count": 16,
266-
"metadata": {
267-
"collapsed": false
268-
},
251+
"metadata": {},
269252
"outputs": [],
270253
"source": [
271254
"# Gerando outros registros\n",
@@ -283,9 +266,7 @@
283266
{
284267
"cell_type": "code",
285268
"execution_count": 17,
286-
"metadata": {
287-
"collapsed": false
288-
},
269+
"metadata": {},
289270
"outputs": [
290271
{
291272
"name": "stdout",
@@ -359,9 +340,9 @@
359340
"name": "python",
360341
"nbconvert_exporter": "python",
361342
"pygments_lexer": "ipython3",
362-
"version": "3.5.1"
343+
"version": "3.6.1"
363344
}
364345
},
365346
"nbformat": 4,
366-
"nbformat_minor": 0
347+
"nbformat_minor": 1
367348
}

‎JupyterNotebooks/Capítulo06/Jupyter Notebook Parte2 - Instrução Insert no SQLite.ipynb

Lines changed: 11 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -9,6 +9,13 @@
99
"## Download: http://github.com/dsacademybr"
1010
]
1111
},
12+
{
13+
"cell_type": "markdown",
14+
"metadata": {},
15+
"source": [
16+
"****** Este Jupyter Notebook foi atualizado para a versão 3.6.1 da Linguagem Python em 05/06/2017 ******"
17+
]
18+
},
1219
{
1320
"cell_type": "markdown",
1421
"metadata": {},
@@ -19,9 +26,7 @@
1926
{
2027
"cell_type": "code",
2128
"execution_count": 1,
22-
"metadata": {
23-
"collapsed": false
24-
},
29+
"metadata": {},
2530
"outputs": [],
2631
"source": [
2732
"import sqlite3\n",
@@ -60,9 +65,7 @@
6065
{
6166
"cell_type": "code",
6267
"execution_count": 3,
63-
"metadata": {
64-
"collapsed": false
65-
},
68+
"metadata": {},
6669
"outputs": [],
6770
"source": [
6871
"# Inserir dados\n",
@@ -100,9 +103,9 @@
100103
"name": "python",
101104
"nbconvert_exporter": "python",
102105
"pygments_lexer": "ipython3",
103-
"version": "3.5.1"
106+
"version": "3.6.1"
104107
}
105108
},
106109
"nbformat": 4,
107-
"nbformat_minor": 0
110+
"nbformat_minor": 1
108111
}

‎JupyterNotebooks/Capítulo06/Jupyter Notebook Parte3 - Instrução Insert no SQLite usando Variáveis.ipynb

Lines changed: 10 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -9,6 +9,13 @@
99
"## Download: http://github.com/dsacademybr"
1010
]
1111
},
12+
{
13+
"cell_type": "markdown",
14+
"metadata": {},
15+
"source": [
16+
"****** Este Jupyter Notebook foi atualizado para a versão 3.6.1 da Linguagem Python em 05/06/2017 ******"
17+
]
18+
},
1219
{
1320
"cell_type": "markdown",
1421
"metadata": {},
@@ -60,9 +67,7 @@
6067
{
6168
"cell_type": "code",
6269
"execution_count": 2,
63-
"metadata": {
64-
"collapsed": false
65-
},
70+
"metadata": {},
6671
"outputs": [],
6772
"source": [
6873
"# Gerando valores e inserindo na tabela\n",
@@ -115,9 +120,9 @@
115120
"name": "python",
116121
"nbconvert_exporter": "python",
117122
"pygments_lexer": "ipython3",
118-
"version": "3.5.1"
123+
"version": "3.6.1"
119124
}
120125
},
121126
"nbformat": 4,
122-
"nbformat_minor": 0
127+
"nbformat_minor": 1
123128
}

‎JupyterNotebooks/Capítulo06/Jupyter Notebook Parte4 - Instrução Select no SQLite.ipynb

Lines changed: 41 additions & 38 deletions
Original file line numberDiff line numberDiff line change
@@ -9,6 +9,13 @@
99
"## Download: http://github.com/dsacademybr"
1010
]
1111
},
12+
{
13+
"cell_type": "markdown",
14+
"metadata": {},
15+
"source": [
16+
"****** Este Jupyter Notebook foi atualizado para a versão 3.6.1 da Linguagem Python em 05/06/2017 ******"
17+
]
18+
},
1219
{
1320
"cell_type": "markdown",
1421
"metadata": {},
@@ -78,25 +85,23 @@
7885
{
7986
"cell_type": "code",
8087
"execution_count": 2,
81-
"metadata": {
82-
"collapsed": false
83-
},
88+
"metadata": {},
8489
"outputs": [
8590
{
8691
"name": "stdout",
8792
"output_type": "stream",
8893
"text": [
8994
"(10, '2016-05-02 14:32:11', 'Teclado', 90.0)\n",
90-
"(11, '2016-05-23 14:13:21.779164', 'Monitor', 70.0)\n",
91-
"(12, '2016-05-23 14:13:22.785889', 'Monitor', 60.0)\n",
92-
"(13, '2016-05-23 14:13:23.791211', 'Monitor', 50.0)\n",
93-
"(14, '2016-05-23 14:13:24.796350', 'Monitor', 92.0)\n",
94-
"(15, '2016-05-23 14:13:25.802804', 'Monitor', 91.0)\n",
95-
"(16, '2016-05-23 14:13:26.805365', 'Monitor', 62.0)\n",
96-
"(17, '2016-05-23 14:13:27.810955', 'Monitor', 83.0)\n",
97-
"(18, '2016-05-23 14:13:28.813340', 'Monitor', 82.0)\n",
98-
"(19, '2016-05-23 14:13:29.819722', 'Monitor', 98.0)\n",
99-
"(20, '2016-05-23 14:13:30.825445', 'Monitor', 71.0)\n"
95+
"(11, '2017-06-06 13:53:13.750298', 'Monitor', 94.0)\n",
96+
"(12, '2017-06-06 13:53:14.754985', 'Monitor', 64.0)\n",
97+
"(13, '2017-06-06 13:53:15.763645', 'Monitor', 77.0)\n",
98+
"(14, '2017-06-06 13:53:16.771173', 'Monitor', 94.0)\n",
99+
"(15, '2017-06-06 13:53:17.778486', 'Monitor', 70.0)\n",
100+
"(16, '2017-06-06 13:53:18.782498', 'Monitor', 65.0)\n",
101+
"(17, '2017-06-06 13:53:19.794125', 'Monitor', 61.0)\n",
102+
"(18, '2017-06-06 13:53:20.805552', 'Monitor', 61.0)\n",
103+
"(19, '2017-06-06 13:53:21.817571', 'Monitor', 89.0)\n",
104+
"(20, '2017-06-06 13:53:22.829989', 'Monitor', 73.0)\n"
100105
]
101106
}
102107
],
@@ -108,23 +113,23 @@
108113
{
109114
"cell_type": "code",
110115
"execution_count": 3,
111-
"metadata": {
112-
"collapsed": false
113-
},
116+
"metadata": {},
114117
"outputs": [
115118
{
116119
"name": "stdout",
117120
"output_type": "stream",
118121
"text": [
119122
"(10, '2016-05-02 14:32:11', 'Teclado', 90.0)\n",
120-
"(11, '2016-05-23 14:13:21.779164', 'Monitor', 70.0)\n",
121-
"(14, '2016-05-23 14:13:24.796350', 'Monitor', 92.0)\n",
122-
"(15, '2016-05-23 14:13:25.802804', 'Monitor', 91.0)\n",
123-
"(16, '2016-05-23 14:13:26.805365', 'Monitor', 62.0)\n",
124-
"(17, '2016-05-23 14:13:27.810955', 'Monitor', 83.0)\n",
125-
"(18, '2016-05-23 14:13:28.813340', 'Monitor', 82.0)\n",
126-
"(19, '2016-05-23 14:13:29.819722', 'Monitor', 98.0)\n",
127-
"(20, '2016-05-23 14:13:30.825445', 'Monitor', 71.0)\n"
123+
"(11, '2017-06-06 13:53:13.750298', 'Monitor', 94.0)\n",
124+
"(12, '2017-06-06 13:53:14.754985', 'Monitor', 64.0)\n",
125+
"(13, '2017-06-06 13:53:15.763645', 'Monitor', 77.0)\n",
126+
"(14, '2017-06-06 13:53:16.771173', 'Monitor', 94.0)\n",
127+
"(15, '2017-06-06 13:53:17.778486', 'Monitor', 70.0)\n",
128+
"(16, '2017-06-06 13:53:18.782498', 'Monitor', 65.0)\n",
129+
"(17, '2017-06-06 13:53:19.794125', 'Monitor', 61.0)\n",
130+
"(18, '2017-06-06 13:53:20.805552', 'Monitor', 61.0)\n",
131+
"(19, '2017-06-06 13:53:21.817571', 'Monitor', 89.0)\n",
132+
"(20, '2017-06-06 13:53:22.829989', 'Monitor', 73.0)\n"
128133
]
129134
}
130135
],
@@ -136,25 +141,23 @@
136141
{
137142
"cell_type": "code",
138143
"execution_count": 4,
139-
"metadata": {
140-
"collapsed": false
141-
},
144+
"metadata": {},
142145
"outputs": [
143146
{
144147
"name": "stdout",
145148
"output_type": "stream",
146149
"text": [
147150
"90.0\n",
151+
"94.0\n",
152+
"64.0\n",
153+
"77.0\n",
154+
"94.0\n",
148155
"70.0\n",
149-
"60.0\n",
150-
"50.0\n",
151-
"92.0\n",
152-
"91.0\n",
153-
"62.0\n",
154-
"83.0\n",
155-
"82.0\n",
156-
"98.0\n",
157-
"71.0\n"
156+
"65.0\n",
157+
"61.0\n",
158+
"61.0\n",
159+
"89.0\n",
160+
"73.0\n"
158161
]
159162
}
160163
],
@@ -207,9 +210,9 @@
207210
"name": "python",
208211
"nbconvert_exporter": "python",
209212
"pygments_lexer": "ipython3",
210-
"version": "3.5.1"
213+
"version": "3.6.1"
211214
}
212215
},
213216
"nbformat": 4,
214-
"nbformat_minor": 0
217+
"nbformat_minor": 1
215218
}

0 commit comments

Comments
 (0)