The Python Mega Course: Build 10 Real World Applications

Course Outline

• Getting Started
  • Course Introduction (4:14)
  • Tips for Learning Efficiency (3:04)
  • The Companion Cheatsheet (1:04)
  • Three Typical Python Programs
  • Installing Python
  • Creating a Basic Python program
  • Python Components
• Variables and Functions
  • Variables
  • Functions
  • Using the Python Interactive Shell
  • Setting up and Working with the Atom Editor
• Data Types
  • Numbers
  • More on Numbers: Using Python as a Calculator
  • Strings
  • Lists and Tuples
  • Dictionaries
  • Summary of Datatypes
• Conditionals
  • Conditional Blocks
  • In-line Conditionals
• Loops and User Input
  • Loops
  • For Loops
  • User Input
  • While Loop
  • For Loop with Multiple Lists
• File Handling
  • Introduction to File Handling
  • Opening and Reading a File
  • Opening and Writing Text to a Text Fle
  • Appending to a Text File
  • The Rest of File Handling Methods
  • The "With" Statement
• More Functionalities
  • Introduction
  • Modules, Libraries, and Packages
  • Commenting and Documenting your Code
  • Lecture 3 Dates and times
• Application 1: Building a Text Generator
  • Demonstration of the Text Generator Application
  • Building Version 1
  • Building Version 2
  • Building Version 3
• Data Analysis with Pandas
  • What is Pandas
  • Getting Started with Pandas
  • Getting Started with Jupyter Notebooks
  • Loading Data in Python fro CSV, TXT, Excel and JSON Files
  • Indexing and Slicing Dataframes
  • Dropping Dataframe Columns and Rows
  • Updating and Adding New Columns and Rows
  • Example: Geocoding Addresses with Pandas and Geopy
• Numpy
  • What is Numpy
  • Creating Numpy Arrays from Images and Vice-Versa
  • Indexing, Slicing and Iterating
  • Stacking and Splitting
• Application 2: Creating Leaflet Webmaps with Python and Folium
  • Demonstration of the Web Mapping Application
  • Creating an Open Street Map with Python
  • Adding Markers to the Map
  • Adding Markers to the Map from CSV Data
  • Rule-based Coloring of Markers
  • More on Rule-based Styling
  • Calculating the Map Center from the Input Data
  • Adjusting the Code for the Latest Version of Folium
  • Adding a Choropleth Map from GeoJson
  • Adding a Layer Control Panel
• Application 3: Building a Website Blocker
  • Demonstration of the Website Blocker Application
  • Application Architecture
  • Setting up the Script
  • Setting up the Infinite Loop
  • Implementing the First Part
  • Implementing the Second Part
  • Scheduling the Python Program on Windows
  • Scheduling the Python Program on Mac and Linux
• Application 4: Building a Website with Python and Flask
  • Demonstration of the Website
  • Building Your First Website
  • Returning HTML Templates
  • Adding a Navigation Menu
  • Adding CSS Styling
  • Creating a Python Virtual Environment
  • Deploying the Website to a Live Server
  • Maintaining the Website
• Building Graphical User Interfaces with Tkinter
  • Introduction to Tkinter
  • Setting up a GUI with Widgets
  • Connecting GUI Widgets with Callback Functions
• Python for Interacting with SQLite and PostgreSQL Databases
  • Introduction to Working with Databases
  • Connecting and Inserting Data to SQLite via Python
  • Selecting, Inserting, Deleting, and Updating SQLite Records
  • Introduction to PostgreSQL Psycopg2
  • Selecting, Inserting, Deleting, and Updating PostgreSQL Records
• Application 5: Building a Desktop Database Application
  • Demonstration of the Database Application
  • User Interface Design
  • Building the Front-end Interface
  • Building the Back-end
  • Connecting the Front-end to the Back-end, Part 1
  • Connecting the Front-end to the Back-end, Part 2
  • Creating a Standalone Executable Version of the Program
• Object Oriented Programming
  • Object Oriented Programming Explained
  • Turning this Application into OOP Style, Part 1
  • Turning this Application into OOP Style, Part 2
  • Creating a Bank Account Object
  • Inheritance
  • OOP Glossary
• Python for Image and Video Processing with OpenCV
  • Introduction
  • Installing OpenCV for Python
  • Loading, Displaying, Resizing, and Writing Images with Python
  • Face Detection
  • Capturing Video
• Application 6: Building a Webcam Motion Detector
  • Demonstration of the Motion Detector Application
  • Detecting Objects from the Webcam
  • Recording Motion Time
• Python for Interactive Data Visualization on the Browser
  • Introduction to Bokeh
  • The Bokeh Charts Interface
  • The Bokeh Plotting Interface
  • Customizing Pot Styles
  • Understanding the Structure Behind the Graphs
  • Time-series Plots
  • More Visualization Examples with Bokeh
  • Plotting Time Intervals of the Motion Detector
  • Hover Tool Implementation
• Webscraping
  • Section Introduction
  • The Concept Behind Webscraping
  • Scraping a Webpage with Requests and BeautifulSoup
• Application 7: Scraping Real Estate Property Data
  • Demonstration of the Webscraping Application
  • Understanding the Problem and Loading the Webpage in Python
  • Extracting Divisions of All Properties
  • Extracting Addresses and Property Details
  • Extracting Elements with no Unique Identifiers
  • Saving the Extracted Data in CSV Files
  • Crawling Through Webpages
• Application 8: Building a Web-based Financial Graph
  • Demonstration of the Financial Analysis Application
  • Downloading Various Datasets with Python
  • Understanding Stock Market Data
  • Understanding Stock Market Data Candlestick Charts
  • Building Chart Candlesticks with Bokeh Quadrants
  • Building Chart Candlesticks with Bokeh Rectangles
  • Building Candlestick Segments
  • Stylizing the Chart
  • The Concept Behind Embedding a Bokeh Chart in a Webpage
  • Embedding the Bokeh Chart in a Webpage
  • Deploying the Chart Website to a Live Server
• Application 9: Building a Data Collector Web App
  • Demonstration of the Web Application
  • Steps for Building a PostgreSQL Database-enabled Web Application
  • Building the Front-end: HTML Part
  • Building the Front-end: CSS Part
  • Building the Back-end: Getting User Input
  • Building the Back End: Creating the PostGreSQL Database Model
  • Building the Back End: Storing User Data to the Database
  • Building the Back End: Emailing Database Values Back to the User
  • Building the Back End: Sending Statistics to Users
  • Deploying the Web Application to a Live Server
  • Bonus Lecture: User Downloads and Uploads
• Application 10: Student Project on Building a Geocoder Web Service
  • Demonstration of the Geocoding Web Service Application and Project Requirements
  • Solution, Part 1
  • Solution, Part 2
  • End of the Course (0:47)