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1st #8

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TheRevolutionist Mar 5, 2022
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TheRevolutionist Mar 8, 2022
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6 changes: 6 additions & 0 deletions .ipynb_checkpoints/NodeJS-checkpoint.ipynb
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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 5
}
6 changes: 6 additions & 0 deletions .ipynb_checkpoints/Untitled-checkpoint.ipynb
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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 5
}
287 changes: 287 additions & 0 deletions .ipynb_checkpoints/ch05.10-checkpoint.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Ch5.10"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"color_names=[]\n",
"color_names = ['orange','yellow','green']"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['red', 'orange', 'yellow', 'green']"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"color_names.insert(0,'red')\n",
"color_names"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['red', 'orange', 'yellow', 'green', 'blue']"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"color_names.append('blue')\n",
"color_names"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet']"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"color_names.extend(['indigo','violet'])\n",
"color_names"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['a', 'b', 'c']"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"simple_list=[]\n",
"s ='abc'\n",
"simple_list.extend(s)\n",
"simple_list\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['a', 'b', 'c', 1, 2, 3]"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t=(1,2,3)\n",
"simple_list.extend(t)\n",
"simple_list"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 appears 3 times in responses\n",
"2 appears 5 times in responses\n",
"3 appears 7 times in responses\n",
"4 appears 2 times in responses\n",
"5 appears 2 times in responses\n"
]
}
],
"source": [
"responses = [1, 2, 5, 4, 3, 5, 2, 1, 3,1, 4, 3, 3, 3, 2, 3, 3, 2, 2]\n",
"for i in range(1,6):\n",
" print(f'{i} appears {responses.count(i)} times in responses')"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"numbers = [10, 3, 7, 1, 9, 4, 2, 8, 5, 6]"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[3, 7, 1, 9, 5]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def is_odd(x):\n",
" return x%2 !=0\n",
"\n",
"list(filter(is_odd,numbers))"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[3, 7, 1, 9, 5]"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"list(filter(lambda x: x%2 !=0,numbers))"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"37"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ord('%')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 5.16"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"a = [[77, 68, 86, 73], [96, 87, 89, 81], [70, 90, 86, 81]]"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"77 68 86 73 \n",
"96 87 89 81 \n",
"70 90 86 81 \n"
]
}
],
"source": [
"for row in a:\n",
" for item in row:\n",
" print(item, end=' ')\n",
" print()"
]
}
],
"metadata": {
"interpreter": {
"hash": "b3ba2566441a7c06988d0923437866b63cedc61552a5af99d1f4fb67d367b25f"
},
"kernelspec": {
"display_name": "Python 3.9.7 ('base')",
"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": "3.9.7"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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