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Curriculum For This Course
  • 1. Your First Python Code 3m
  • 2. Your First Python Program 10m
  • 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
  • 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
  • 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
  • 1. User Input 8m
  • 2. String Formatting 5m
  • 3. String Formatting with Multiple Variables 4m
  • 1. Builtin Modules 6m
  • 2. Standard Python Modules 9m
  • 3. Third-Party Modules 6m
  • 4. Third-Party Module Example 3m
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 1. Introduction to Tkinter 3m
  • 2. Setting up a GUI with Widgets 9m
  • 3. Connecting GUI Widgets with Callback Functions 10m
  • 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
  • 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
  • 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
  • 1. Introduction 2m
  • 2. Loading, Displaying, Resizing, and Writing Images 14m
  • 3. Solution with Explanations 4m
  • 4. Face Detection 20m
  • 5. Capturing Video 20m
  • 1. Webcam Motion Detector - How The Output Will Look Like 2m
  • 2. Detecting Webcam Objects 30m
  • 3. Capturing Motion Time 21m
  • 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
  • 1. Section Introduction 2m
  • 2. The Concept Behind Webscraping 5m
  • 3. Webscraping Example 16m
  • 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
  • 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
  • 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

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