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‎1_Basics/00_Intro_To_Programming.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "7d9726ec",
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"metadata": {},
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"source": [
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"<a target=\"_blank\" href=\"https://colab.research.google.com/github/lukebarousse/Python_Data_Analytics_Course/blob/main/1_Basics/00_Intro_To_Programming.ipynb\">\n",
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" <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
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"</a>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "121fe821",
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"metadata": {},
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"source": [
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"## Python 101\n",
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"\n",
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"#### Terms to know:\n",
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"- **Object**\n",
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"- **Variable**\n",
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"- **Function**\n",
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"- **Class**\n",
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"- **Method**\n",
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"- **Attribute**"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c1ea1f9e",
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"metadata": {},
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"source": [
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"### Objects: The Data Records\n",
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"\n",
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"In data analytics, an object is like a record in your spreadsheet. Each record can have multiple fields, such as job title, location, and salary.\n",
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"\n",
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"**Object**: A data record with fields.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 69,
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"id": "968ee59f",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'Data Analyst'"
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]
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},
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"execution_count": 69,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"\"Data Analyst\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 70,
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"id": "53b471a2",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"90000"
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]
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},
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"execution_count": 70,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"90000"
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]
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},
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{
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"cell_type": "markdown",
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"id": "fe74bb60",
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"metadata": {},
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"source": [
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"### Variables: The Building Blocks\n",
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"\n",
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"Think of a variable as a cell in an Excel spreadsheet. You can store data in it, like a number, text, or a formula.\n",
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"\n",
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"**Variable**: A named cell that stores an object."
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]
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},
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{
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"cell_type": "markdown",
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"id": "f667cde9",
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"metadata": {},
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 71,
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"id": "0fb0d189",
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"metadata": {},
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"outputs": [],
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"source": [
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"job_title = \"Data Analyst\"\n",
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"job_location = \"United States\"\n",
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"job_salary = 90000"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c246c6c4",
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"metadata": {},
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"source": [
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"### Functions: The General Tools\n",
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"\n",
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"Functions are like custom formulas in Excel. They perform tasks that can be applied to different sets of data.\n",
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"\n",
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"**Function**: A reusable piece of code that performs a specific task."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 72,
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"id": "66b6ee25",
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"metadata": {},
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"outputs": [],
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"source": [
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"def display_info(title, location, salary):\n",
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" return print(f\"JOB: {title}\\nLOCATION: {location}\\nSALARY: ${salary:,.0f}\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 73,
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"id": "a453263c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"JOB: Data Analyst\n",
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"LOCATION: United States\n",
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"SALARY: $90,000\n"
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]
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}
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],
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"source": [
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"job_title = \"Data Analyst\"\n",
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"job_location = \"United States\"\n",
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"job_salary = 90000\n",
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"\n",
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"display_info(job_title, job_location, job_salary)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b7fb6cbf",
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"metadata": {},
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"source": [
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"### Classes: The Template of Objects\n",
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"\n",
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"A class is like a template for your records in Excel. It defines the fields that each record will have.\n",
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"\n",
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"**Class**: A template for creating objects (records).\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 74,
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"id": "2cfd7804",
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"metadata": {},
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"outputs": [],
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"source": [
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"class JobPost:\n",
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" def __init__(self, title, location, salary):\n",
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" self.title = title\n",
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" self.location = location\n",
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" self.salary = salary\n",
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"\n",
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" def display_info(self):\n",
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" return print(f\"JOB: {self.title}\\nLOCATION: {self.location}\\nSALARY: ${self.salary:,.0f}\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 75,
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"id": "d0f7b6c5",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"__main__.JobPost"
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]
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},
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"execution_count": 75,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"JobPost"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f5537cd8",
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"metadata": {},
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"source": [
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"### Attributes: The Variables of an Object\n",
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"\n",
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"Attributes are like the columns in your spreadsheet. Each attribute stores specific data for each record.\n",
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"\n",
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"**Attribute**: A field in a record, defined by its class.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 76,
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"id": "38341fa0",
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"metadata": {},
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"outputs": [],
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"source": [
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"class JobPost:\n",
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" def __init__(self, title, location, salary):\n",
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" self.title = title # Attribute\n",
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" self.location = location # Attribute\n",
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" self.salary = salary # Attribute"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 77,
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"id": "dcd89f8a",
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"metadata": {},
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"outputs": [],
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"source": [
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"job = JobPost(\"Data Engineer\", \"New York, NY\", 425000)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 78,
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"id": "fbd5b34d",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'Data Engineer'"
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]
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},
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"execution_count": 78,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"job.title"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 79,
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"id": "a6ccd019",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"425000"
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]
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},
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"execution_count": 79,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"job.salary"
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]
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},
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{
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"cell_type": "markdown",
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"id": "87300d79",
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"metadata": {},
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"source": [
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"### Methods: The Functions of an Object\n",
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"\n",
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"Methods are like the built-in functions in Excel that operate on your records. They define actions that the records can perform.\n",
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"\n",
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"**Method**: A function defined inside a class that operates on its objects.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 80,
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"id": "7b3c7c94",
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"metadata": {},
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"outputs": [],
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"source": [
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"class JobPost:\n",
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" def __init__(self, title, location, salary):\n",
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" self.title = title\n",
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" self.location = location\n",
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" self.salary = salary\n",
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" \n",
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" def display_info(self):\n",
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" return print(f\"JOB: {self.title}\\nLOCATION: {self.location}\\nSALARY: ${self.salary:,.0f}\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 81,
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"id": "00414ac1",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"JOB: Data Engineer\n",
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"LOCATION: New York, NY\n",
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"SALARY: $425,000\n"
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]
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}
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],
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"source": [
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"job = JobPost(\"Data Engineer\", \"New York, NY\", 425000)\n",
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"\n",
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"job.display_info()"
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]
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}
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],
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"display_name": "python_course",
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