Skip to content

Instantly share code, notes, and snippets.

@lextoumbourou
Created July 20, 2024 04:21
Show Gist options
  • Save lextoumbourou/c58c624aad53718c7e26c66355246c18 to your computer and use it in GitHub Desktop.
Save lextoumbourou/c58c624aad53718c7e26c66355246c18 to your computer and use it in GitHub Desktop.
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<center>\n",
" <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0105EN-SkillsNetwork/labs/Module2/images/SN_web_lightmode.png\" width=\"300\" alt=\"cognitiveclass.ai logo\">\n",
"</center>\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Add your code below following the instructions given in the course\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Data Science Tools and Ecosystem"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this notebook, Data Science Tools and Ecosystem are summarized."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some of the popular languages that Data Scientists use are:\n",
"- Python\n",
"- R\n",
"- Scala"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some of the commonly used libraries used by Data Scientists include:\n",
"- Pandas\n",
"- SciPy\n",
"- Matplotlib"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"## Data Science Tools\n",
"\n",
"| Tool name | \n",
"|-----------|\n",
"| Jupyter Notebooks |\n",
"| Google Colab |\n",
"| Pandas"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Below are a few examples of evaluating arithmetic expressions in Python"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"17.0"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(3*4)+5."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This will convert 200 minutes to hours by diving by 60."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"3.3333333333333335"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"200/60"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Objectives:\n",
"- List popular languages for Data Science\n",
"- List common libraries for Data Science\n"
]
},
{
"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": "3.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment