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@RicHincapie
Created October 2, 2019 23:15
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Created on Cognitive Class Labs
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# My Jupyter Notebook on IBM Data Science Experience"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Ricardo Hincapié Trujillo** \n",
"My desired occupation is salesman for a big data company"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*I am interested in data science because it is a new powerful tool for business and governments to take better decision or solve problems for citizens. Moreover, because of its novelty, it has a lot of work opportunities* "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### In cells 5 to 7 I assigned a value to a variable and then resolved a first grade equation with it. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"x=4.5"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"87.75"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(2+x)*(3*x)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### My groceries list"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Eggs \n",
"- Milk \n",
"- Wine \n",
"- Bread"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Groceries list priority"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"1. Wine\n",
"1. Eggs\n",
"1. Bread\n",
"1. Milk"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"***"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I love **[Colombian Orchids](https://whatsanswer.com/what-is-the-national-flower-of-colombia/)**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"![Orchid, the Colombia national flower](https://i2.wp.com/whatsanswer.com/wp-content/uploads/2018/01/What-Is-The-National-Flower-of-Colombia.jpg?w=628&ssl=1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python",
"language": "python",
"name": "conda-env-python-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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