Introduction

1. The Tools You Need
1m
2. Installing Python 3 and an IDE (Windows, Mac, and Linux)
7m

The Basics: Small Program

1. Your First Python Code
3m
2. Your First Python Program
10m

The Basics: Data Types

1. Variables
3m
2. Simple Types: Integers, Strings, and Floats
3m
3. List Types
2m
4. Type Attributes
3m
5. How to Find Out What Code You Need
5m
6. Bonus: Steps of Learning Python
1m
7. Dictionary Types
4m
8. Tuple Types
2m
9. How to Use Datatypes in the Real World?
1m

The Basics: Operations with Data Types

1. Python Shell and Terminal Tip
1m
2. More Operations with Lists
6m
3. Accessing List Items
2m
4. Accessing List Slices
3m
5. Accessing Items and Slices with Negative Indexes
2m
6. Accessing Characters and Slices in Strings
2m
7. Accessing Items in Dictionaries
2m

The Basics: Functions and Conditionals

1. Creating Your Own Functions
5m
2. Print or Return?
4m
3. Intro to Conditionals
1m
4. If Conditional Example
4m
5. Conditional Explained Line by Line
3m
6. More on Conditionals
2m
7. Elif Conditionals
1m
8. White Space
4m

The Basics: Processing User Input

1. User Input
8m
2. String Formatting
5m
3. String Formatting with Multiple Variables
4m

Imported Modules

1. Builtin Modules
6m
2. Standard Python Modules
9m
3. Third-Party Modules
6m
4. Third-Party Module Example
3m

Application 1: Build an Interactive English Dictionary

1. Interactive English Dictionary - How The Output Will Look Like
4m
2. The Data Source
5m
3. Loading JSON Data
4m
4. Returning the Definition of a Word
3m
5. Taking Into Account Bad Words
3m
6. Implementing Case Sensitivity
3m
7. Similarity Ratio Between Two Words
5m
8. Best Matches out of a List of Words
6m
9. Recommending the Best Match
10m
10. Confirmation from the User
10m
11. Optimizing the Final Output
8m

Data Analysis with Pandas

1. Getting Started with Pandas
9m
2. Getting Started with Jupyter Notebooks
9m
3. Loading CSV Files
4m
4. Loading Excel Files
1m
5. Loading TXT Files
3m
6. Set Header Row
3m
7. Set Column Names
1m
8. Set Index Column
5m
9. Indexing and Slicing
6m
10. Deleting Columns and Rows
3m
11. Updating and Adding new Columns and Rows
8m
12. Example: Geocoding Addresses with Pandas and Geopy
15m

Numpy

1. What is Numpy?
8m
2. Convert Images to Numpy Arrays
6m
3. Indexing, Slicing, and Iterating Numpy Arrays
4m
4. Stacking and Splitting Numpy Arrays
6m

Application 2: Create Webmaps with Python and Folium

1. Web Map - How The Output Will Look Like
1m
2. The Basemap
12m
3. Adding Points
8m
4. Adding Multiple Points
5m
5. Adding Points from Files
13m
6. Popup Windows on Map
5m
7. Color Points
8m
8. Solution
2m
9. GeoJson Data
6m
10. Adding a GeoJson Polygon Layer
3m
11. Choropleth Map
10m
12. Layer Control Panel
6m

Application 3: Build a Website Blocker

1. Website Blocker - How The Output Will Look Like
4m
2. Application Architecture
4m
3. Setting up the Script
9m
4. Setting up the Infinite Loop
11m
5. Implementing the First Part
12m
6. Implementing the Second Part
19m
7. Scheduling the Python Program on Windows
13m
8. Scheduling the Python Program on Mac and Linux
6m

Application 4: Build a Personal Website with Python and Flask

1. Personal Website - How The Output Will Look Like
2m
2. Your First Website
8m
3. HTML Templates
4m
4. Navigation Menu
9m
5. CSS Styling
6m
6. Creating a Python Virtual Environment
6m
7. Deploying the Website to a Live Server
22m
8. Maintaining the Live Website
7m

Graphical User Interfaces with Tkinter

1. Introduction to Tkinter
3m
2. Setting up a GUI with Widgets
9m
3. Connecting GUI Widgets with Callback Functions
10m

Interacting with Databases

1. Introduction to "Python with Databases"
3m
2. Connecting and Inserting Data to SQLite via Python
13m
3. Selecting, Inserting, Deleting, and Updating SQLite Records
7m
4. Introduction to PostgreSQL Psycopg2
9m
5. Selecting, Inserting, Deleting, and Updating PostgreSQL Records
13m

Application 5: Build a Desktop Database Application

1. Desktop Database App - How The Output Will Look Like
2m
2. User Interface Design
6m
3. Frontend Interface
13m
4. Backend
24m
5. Connecting the Frontend to the Backend, Part 1
18m
6. Connecting the Frontend to the Backend, Part 2
22m
7. Creating a Standalone Executable Version of the Program
5m

Object Oriented Programming

1. Object Oriented Programming Explained
5m
2. Turning this Application into OOP Style, Part 1
13m
3. Turning this Application into OOP Style, Part 2
14m
4. Creating a Bank Account Object
21m
5. Inheritance
12m
6. OOP Glossary
8m

Python for Image and Video Processing with OpenCV

1. Introduction
2m
2. Loading, Displaying, Resizing, and Writing Images
14m
3. Solution with Explanations
4m
4. Face Detection
20m
5. Capturing Video
20m

Application 6: Build a Webcam Motion Detector

1. Webcam Motion Detector - How The Output Will Look Like
2m
2. Detecting Webcam Objects
30m
3. Capturing Motion Time
21m

Interactive Data Visualization with Bokeh

1. Introduction to Bokeh
2m
2. Your First Bokeh Plot
14m
3. Using Bokeh with Pandas
5m
4. Time-series Plots
7m
5. More Visualization Examples with Bokeh
4m
6. Plotting Time Intervals of the Motion Detector
14m
7. Hover Tool Implementation
10m

Webscraping with Python Beautiful Soup

1. Section Introduction
2m
2. The Concept Behind Webscraping
5m
3. Webscraping Example
16m

Application 7: Scrape Real Estate Property Data from the Web

1. Scraped Website Data - How The Output Will Look Like
2m
2. Loading the Webpage in Python
7m
3. Extracting "div" Tags
12m
4. Extracting Addresses and Property Details
15m
5. Extracting Elements without Unique Identifiers
12m
6. Saving the Extracted Data in CSV Files
8m
7. Crawling Through Webpages
17m

Application 8: Build a Web-based Financial Graph

1. Web-based Financial Graph - How The Output Will Look Like
2m
2. Downloading Datasets with Python
12m
3. Stock Market Data
3m
4. Stock Market Data Candlestick Charts
6m
5. Candlestick Charts with Bokeh Quadrants
10m
6. Candlestick Charts with Bokeh Rectangles
22m
7. Candlestick Segments
5m
8. Stylizing the Chart
4m
9. The Concept Behind Embedding Bokeh Charts in a Flask Webpage
11m
10. Embedding the Bokeh Chart in a Webpage
16m
11. Deploying the Chart Website to a Live Server
9m

Application 9: Build a Data Collector Web App with PostGreSQL and Flask

1. Data Collector Web App - How The Output Will Look Like
3m
2. PostGreSQL Database Web App with Flask: Steps
6m
3. Frontend: HTML Part
15m
4. Frontend: CSS Part
10m
5. Backend: Getting User Input
18m
6. Backend: The PostGreSQL Database Model
18m
7. Backend: Storing User Data to the Database
19m
8. Backend: Emailing Database Values Back to the User
11m
9. Backend: Sending Statistics to Users
16m
10. Deploying the Web Application to a Live Server
30m
11. Bonus Lecture: Implementing Download and Upload in your Web App
21m

The Most Complete Python Course

Introduction

The Basics: Small Program

The Basics: Data Types

The Basics: Operations with Data Types

The Basics: Functions and Conditionals

The Basics: Processing User Input

Imported Modules

Application 1: Build an Interactive English Dictionary

Data Analysis with Pandas

Numpy

Application 2: Create Webmaps with Python and Folium

Application 3: Build a Website Blocker

Application 4: Build a Personal Website with Python and Flask

Graphical User Interfaces with Tkinter

Interacting with Databases

Application 5: Build a Desktop Database Application

Object Oriented Programming

Python for Image and Video Processing with OpenCV

Application 6: Build a Webcam Motion Detector

Interactive Data Visualization with Bokeh

Webscraping with Python Beautiful Soup

Application 7: Scrape Real Estate Property Data from the Web

Application 8: Build a Web-based Financial Graph

Application 9: Build a Data Collector Web App with PostGreSQL and Flask