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[DesireCourse.Net] Udemy - The Python Mega Course Build 10 Real World Applications

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种子名称: [DesireCourse.Net] Udemy - The Python Mega Course Build 10 Real World Applications
文件类型: 视频
文件数目: 196个文件
文件大小: 5.16 GB
收录时间: 2019-12-17 18:52
已经下载: 3
资源热度: 226
最近下载: 2024-7-1 05:50

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[DesireCourse.Net] Udemy - The Python Mega Course Build 10 Real World Applications.torrent
  • 1. Introduction/1. Course Introduction.mp445.53MB
  • 1. Introduction/4. The Tools You Need.mp419.92MB
  • 1. Introduction/5. Installing Python 3 and an IDE.mp484.38MB
  • 10. More on Functions/1. Functions with Multiple Arguments.mp416.07MB
  • 10. More on Functions/4. Default and Non-default Parameters and Keyword and Non-keyword Arguments.mp428.98MB
  • 10. More on Functions/5. Functions with an Arbitrary Number of Non-keyword Arguments.mp438.13MB
  • 10. More on Functions/8. Functions with an Arbitrary Number of Keyword Arguments.mp415.51MB
  • 11. File Processing/1. The Concept of Processing Files in Python.mp418.19MB
  • 11. File Processing/10. Writing Text to a File.mp432.68MB
  • 11. File Processing/13. Appending Text to an Existing File.mp429.33MB
  • 11. File Processing/2. Reading Text From a File.mp415.16MB
  • 11. File Processing/4. File Cursor.mp410.18MB
  • 11. File Processing/5. Closing a File.mp48.17MB
  • 11. File Processing/8. Opening Files Using with.mp411.22MB
  • 11. File Processing/9. Different Filepaths.mp48.32MB
  • 12. Imported Modules/1. Builtin Modules.mp464.11MB
  • 12. Imported Modules/2. Standard Python Modules.mp4107.95MB
  • 12. Imported Modules/3. Third-Party Modules.mp470.25MB
  • 12. Imported Modules/4. Third-Party Module Example.mp432.3MB
  • 13. Application 1 Build an Interactive English Dictionary/1. Interactive English Dictionary - How The Output Will Look Like.mp47.63MB
  • 13. Application 1 Build an Interactive English Dictionary/10. Confirmation from the User.mp420.2MB
  • 13. Application 1 Build an Interactive English Dictionary/11. Optimizing the Final Output.mp415.35MB
  • 13. Application 1 Build an Interactive English Dictionary/2. The Data Source.mp411.72MB
  • 13. Application 1 Build an Interactive English Dictionary/3. Loading JSON Data.mp423.7MB
  • 13. Application 1 Build an Interactive English Dictionary/4. Returning the Definition of a Word.mp47.45MB
  • 13. Application 1 Build an Interactive English Dictionary/5. Taking Into Account Bad Words.mp46.45MB
  • 13. Application 1 Build an Interactive English Dictionary/6. Implementing Case Sensitivity.mp46.54MB
  • 13. Application 1 Build an Interactive English Dictionary/7. Similarity Ratio Between Two Words.mp412.24MB
  • 13. Application 1 Build an Interactive English Dictionary/8. Best Matches out of a List of Words.mp419.58MB
  • 13. Application 1 Build an Interactive English Dictionary/9. Recommending the Best Match.mp418.65MB
  • 14. Project Exercise with Python and MySQL Interactive English Dictionary/1. Intro to the App.mp412.55MB
  • 14. Project Exercise with Python and MySQL Interactive English Dictionary/2. Making the App.mp453.51MB
  • 15. Data Analysis with Pandas/1. What is Pandas.mp411.61MB
  • 15. Data Analysis with Pandas/10. Loading TXT Files.mp431.61MB
  • 15. Data Analysis with Pandas/11. Set Header Row.mp420.22MB
  • 15. Data Analysis with Pandas/12. Set Column Names.mp48.07MB
  • 15. Data Analysis with Pandas/13. Set Index Column.mp443.11MB
  • 15. Data Analysis with Pandas/14. Indexing and Slicing.mp445.03MB
  • 15. Data Analysis with Pandas/15. Deleting Columns and Rows.mp421.43MB
  • 15. Data Analysis with Pandas/16. Updating and Adding new Columns and Rows.mp417.33MB
  • 15. Data Analysis with Pandas/18. Example Geocoding Addresses with Pandas and Geopy.mp4162.23MB
  • 15. Data Analysis with Pandas/3. Getting Started with Pandas.mp415.9MB
  • 15. Data Analysis with Pandas/4. Getting Started with Jupyter Notebooks.mp426.75MB
  • 15. Data Analysis with Pandas/5. Loading CSV Files.mp442.73MB
  • 15. Data Analysis with Pandas/9. Loading Excel Files.mp412.03MB
  • 16. Numpy/1. What is Numpy.mp414.16MB
  • 16. Numpy/3. Convert Images to Numpy Arrays.mp411.75MB
  • 16. Numpy/4. Indexing, Slicing, and Iterating Numpy Arrays.mp48.03MB
  • 16. Numpy/5. Stacking and Splitting Numpy Arrays.mp411.92MB
  • 17. Application 2 Create Webmaps with Python and Folium/1. Web Map - How The Output Will Look Like.mp43.84MB
  • 17. Application 2 Create Webmaps with Python and Folium/12. Solution.mp44.3MB
  • 17. Application 2 Create Webmaps with Python and Folium/13. GeoJson Data.mp428.33MB
  • 17. Application 2 Create Webmaps with Python and Folium/14. Adding a GeoJson Polygon Layer.mp413.45MB
  • 17. Application 2 Create Webmaps with Python and Folium/15. Choropleth Map.mp427.72MB
  • 17. Application 2 Create Webmaps with Python and Folium/16. Layer Control Panel.mp417.27MB
  • 17. Application 2 Create Webmaps with Python and Folium/2. The Basemap.mp434.64MB
  • 17. Application 2 Create Webmaps with Python and Folium/4. Adding Points.mp474.07MB
  • 17. Application 2 Create Webmaps with Python and Folium/5. Adding Multiple Points.mp49.58MB
  • 17. Application 2 Create Webmaps with Python and Folium/6. Adding Points from Files.mp437.37MB
  • 17. Application 2 Create Webmaps with Python and Folium/7. Popup Windows on Map.mp412.47MB
  • 17. Application 2 Create Webmaps with Python and Folium/9. Color Points.mp420.45MB
  • 18. Fixing Programming Errors/1. Syntax Errors.mp414.11MB
  • 18. Fixing Programming Errors/2. Runtime Errors.mp419.08MB
  • 18. Fixing Programming Errors/4. How to Fix Difficult Errors.mp417.26MB
  • 18. Fixing Programming Errors/5. Good Programming Questions.mp416.89MB
  • 18. Fixing Programming Errors/6. Error Handling.mp414.2MB
  • 19. Application 3 Build a Website Blocker/1. Website Blocker - How The Output Will Look Like.mp46.84MB
  • 19. Application 3 Build a Website Blocker/2. Application Architecture.mp47.96MB
  • 19. Application 3 Build a Website Blocker/3. Setting up the Script.mp418.16MB
  • 19. Application 3 Build a Website Blocker/4. Setting up the Infinite Loop.mp419.72MB
  • 19. Application 3 Build a Website Blocker/5. Implementing the First Part.mp426.33MB
  • 19. Application 3 Build a Website Blocker/6. Implementing the Second Part.mp445.23MB
  • 19. Application 3 Build a Website Blocker/8. Scheduling the Python Program on Windows.mp430.22MB
  • 19. Application 3 Build a Website Blocker/9. Scheduling the Python Program on Mac and Linux.mp414.27MB
  • 2. The Basics Small Program/1. Your First Python Code.mp420.71MB
  • 2. The Basics Small Program/2. Your First Python Program.mp480.04MB
  • 20. Application 4 Build a Personal Website with Python and Flask/1. Personal Website - How The Output Will Look Like.mp42.72MB
  • 20. Application 4 Build a Personal Website with Python and Flask/10. Maintaining the Live Website.mp415.58MB
  • 20. Application 4 Build a Personal Website with Python and Flask/2. Your First Website.mp452.37MB
  • 20. Application 4 Build a Personal Website with Python and Flask/3. HTML Templates.mp48.06MB
  • 20. Application 4 Build a Personal Website with Python and Flask/4. Navigation Menu.mp417.34MB
  • 20. Application 4 Build a Personal Website with Python and Flask/6. CSS Styling.mp412.7MB
  • 20. Application 4 Build a Personal Website with Python and Flask/7. Creating a Python Virtual Environment.mp413.21MB
  • 20. Application 4 Build a Personal Website with Python and Flask/9. Deploying the Website to a Live Server.mp456.77MB
  • 21. Graphical User Interfaces with Tkinter/1. Introduction to Tkinter.mp44.46MB
  • 21. Graphical User Interfaces with Tkinter/2. Setting up a GUI with Widgets.mp416.22MB
  • 21. Graphical User Interfaces with Tkinter/3. Connecting GUI Widgets with Callback Functions.mp416.99MB
  • 22. Interacting with Databases/1. Introduction to Python with Databases.mp44.99MB
  • 22. Interacting with Databases/2. Connecting and Inserting Data to SQLite via Python.mp423.93MB
  • 22. Interacting with Databases/3. Selecting, Inserting, Deleting, and Updating SQLite Records.mp413.52MB
  • 22. Interacting with Databases/4. Introduction to PostgreSQL Psycopg2.mp420.36MB
  • 22. Interacting with Databases/5. Selecting, Inserting, Deleting, and Updating PostgreSQL Records.mp427.67MB
  • 23. Application 5 Build a Desktop Database Application/1. Desktop Database App - How The Output Will Look Like.mp44.33MB
  • 23. Application 5 Build a Desktop Database Application/2. User Interface Design.mp49.75MB
  • 23. Application 5 Build a Desktop Database Application/3. Frontend Interface.mp426.18MB
  • 23. Application 5 Build a Desktop Database Application/4. Backend.mp446.69MB
  • 23. Application 5 Build a Desktop Database Application/5. Connecting the Frontend to the Backend, Part 1.mp437.35MB
  • 23. Application 5 Build a Desktop Database Application/6. Connecting the Frontend to the Backend, Part 2.mp449.08MB
  • 23. Application 5 Build a Desktop Database Application/9. Creating a Standalone Executable Version of the Program.mp410.82MB
  • 24. Object Oriented Programming/1. Object Oriented Programming Explained.mp49.8MB
  • 24. Object Oriented Programming/2. Turning this Application into OOP Style, Part 1.mp430.69MB
  • 24. Object Oriented Programming/3. Turning this Application into OOP Style, Part 2.mp434.25MB
  • 24. Object Oriented Programming/4. Creating a Bank Account Object.mp439.2MB
  • 24. Object Oriented Programming/5. Inheritance.mp422.47MB
  • 24. Object Oriented Programming/6. OOP Glossary.mp416.35MB
  • 25. Python for Image and Video Processing with OpenCV/1. Introduction.mp44.05MB
  • 25. Python for Image and Video Processing with OpenCV/3. Loading, Displaying, Resizing, and Writing Images.mp430.95MB
  • 25. Python for Image and Video Processing with OpenCV/6. Solution with Explanations.mp48.16MB
  • 25. Python for Image and Video Processing with OpenCV/7. Face Detection.mp440.59MB
  • 25. Python for Image and Video Processing with OpenCV/8. Capturing Video.mp436.14MB
  • 26. Application 6 Build a Webcam Motion Detector/1. Webcam Motion Detector - How The Output Will Look Like.mp45.54MB
  • 26. Application 6 Build a Webcam Motion Detector/2. Detecting Webcam Objects.mp4252.14MB
  • 26. Application 6 Build a Webcam Motion Detector/3. Capturing Motion Time.mp449.44MB
  • 27. Interactive Data Visualization with Bokeh/1. Introduction to Bokeh.mp43.89MB
  • 27. Interactive Data Visualization with Bokeh/14. Time-series Plots.mp415.42MB
  • 27. Interactive Data Visualization with Bokeh/15. More Visualization Examples with Bokeh.mp411.9MB
  • 27. Interactive Data Visualization with Bokeh/16. Plotting Time Intervals of the Motion Detector.mp428.73MB
  • 27. Interactive Data Visualization with Bokeh/17. Hover Tool Implementation.mp420.36MB
  • 27. Interactive Data Visualization with Bokeh/3. Your First Bokeh Plot.mp419.38MB
  • 27. Interactive Data Visualization with Bokeh/6. Using Bokeh with Pandas.mp410.43MB
  • 28. Webscraping with Python Beautiful Soup/1. Section Introduction.mp43.19MB
  • 28. Webscraping with Python Beautiful Soup/2. The Concept Behind Webscraping.mp410.18MB
  • 28. Webscraping with Python Beautiful Soup/4. Webscraping Example.mp437.37MB
  • 29. Application 7 Scrape Real Estate Property Data from the Web/1. Scraped Website Data - How The Output Will Look Like.mp46.95MB
  • 29. Application 7 Scrape Real Estate Property Data from the Web/3. Loading the Webpage in Python.mp422.16MB
  • 29. Application 7 Scrape Real Estate Property Data from the Web/4. Extracting div Tags.mp431.34MB
  • 29. Application 7 Scrape Real Estate Property Data from the Web/5. Extracting Addresses and Property Details.mp437.06MB
  • 29. Application 7 Scrape Real Estate Property Data from the Web/6. Extracting Elements without Unique Identifiers.mp432.16MB
  • 29. Application 7 Scrape Real Estate Property Data from the Web/7. Saving the Extracted Data in CSV Files.mp421.98MB
  • 29. Application 7 Scrape Real Estate Property Data from the Web/8. Crawling Through Webpages.mp458.79MB
  • 29. Application 7 Scrape Real Estate Property Data from the Web/9. List Methods.mp48.26MB
  • 3. The Basics Data Types/1. Variables.mp416.96MB
  • 3. The Basics Data Types/11. Type Attributes.mp422.89MB
  • 3. The Basics Data Types/13. How to Find Out What Code You Need.mp449.78MB
  • 3. The Basics Data Types/14. Bonus Steps of Learning Python.mp412.83MB
  • 3. The Basics Data Types/18. Dictionary Types.mp435.05MB
  • 3. The Basics Data Types/21. Tuple Types.mp421.07MB
  • 3. The Basics Data Types/24. How to Use Datatypes in the Real World.mp411.43MB
  • 3. The Basics Data Types/4. Simple Types Integers, Strings, and Floats.mp415.78MB
  • 3. The Basics Data Types/7. List Types.mp45.63MB
  • 30. Application 8 Build a Web-based Financial Graph/1. Web-based Financial Graph - How The Output Will Look Like.mp43.45MB
  • 30. Application 8 Build a Web-based Financial Graph/11. Embedding the Bokeh Chart in a Webpage.mp436.76MB
  • 30. Application 8 Build a Web-based Financial Graph/12. Deploying the Chart Website to a Live Server.mp425.3MB
  • 30. Application 8 Build a Web-based Financial Graph/2. Downloading Datasets with Python.mp431.69MB
  • 30. Application 8 Build a Web-based Financial Graph/3. Stock Market Data.mp46.87MB
  • 30. Application 8 Build a Web-based Financial Graph/4. Stock Market Data Candlestick Charts.mp411.52MB
  • 30. Application 8 Build a Web-based Financial Graph/5. Candlestick Charts with Bokeh Quadrants.mp422.26MB
  • 30. Application 8 Build a Web-based Financial Graph/6. Candlestick Charts with Bokeh Rectangles.mp451.06MB
  • 30. Application 8 Build a Web-based Financial Graph/7. Candlestick Segments.mp414.24MB
  • 30. Application 8 Build a Web-based Financial Graph/8. Stylizing the Chart.mp447.53MB
  • 30. Application 8 Build a Web-based Financial Graph/9. The Concept Behind Embedding Bokeh Charts in a Flask Webpage.mp438.02MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/1. Data Collector Web App - How The Output Will Look Like.mp428.34MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/10. Deploying the Web Application to a Live Server.mp474.96MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/11. Bonus Lecture Implementing Download and Upload in your Web App.mp455.29MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/2. PostGreSQL Database Web App with Flask Steps.mp410.19MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/3. Frontend HTML Part.mp426.76MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/4. Frontend CSS Part.mp420.89MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/5. Backend Getting User Input.mp434.03MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/6. Backend The PostGreSQL Database Model.mp440.79MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/7. Backend Storing User Data to the Database.mp450.03MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/8. Backend Emailing Database Values Back to the User.mp425.94MB
  • 31. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/9. Backend Sending Statistics to Users.mp440.17MB
  • 32. Application 10 Project Exercise on Building a Geocoder Web Service/1. Student Project - How The Output Should Look Like.mp414.37MB
  • 32. Application 10 Project Exercise on Building a Geocoder Web Service/2. Solution, Part 1.mp435.33MB
  • 32. Application 10 Project Exercise on Building a Geocoder Web Service/3. Solution, Part 2.mp413.85MB
  • 4. The Basics Operations with Data Types/1. Python Shell and Terminal Tip.mp47.79MB
  • 4. The Basics Operations with Data Types/10. Accessing List Slices.mp430.91MB
  • 4. The Basics Operations with Data Types/11. Accessing Items and Slices with Negative Indexes.mp424.51MB
  • 4. The Basics Operations with Data Types/12. Accessing Characters and Slices in Strings.mp413.18MB
  • 4. The Basics Operations with Data Types/17. Accessing Items in Dictionaries.mp416.8MB
  • 4. The Basics Operations with Data Types/2. More Operations with Lists.mp457.22MB
  • 4. The Basics Operations with Data Types/6. Accessing List Items.mp421.51MB
  • 5. The Basics Functions and Conditionals/1. Creating Your Own Functions.mp466.45MB
  • 5. The Basics Functions and Conditionals/11. More on Conditionals.mp425.5MB
  • 5. The Basics Functions and Conditionals/14. Elif Conditionals.mp411.83MB
  • 5. The Basics Functions and Conditionals/15. White Space.mp434.74MB
  • 5. The Basics Functions and Conditionals/5. Print or Return.mp449.34MB
  • 5. The Basics Functions and Conditionals/6. Intro to Conditionals.mp49.75MB
  • 5. The Basics Functions and Conditionals/7. If Conditional Example.mp442.52MB
  • 5. The Basics Functions and Conditionals/9. Conditional Explained Line by Line.mp432.8MB
  • 6. The Basics Processing User Input/1. User Input.mp487.17MB
  • 6. The Basics Processing User Input/2. String Formatting.mp423.34MB
  • 6. The Basics Processing User Input/3. String Formatting with Multiple Variables.mp426.7MB
  • 7. The Basics Loops/1. For Loops How and Why.mp462.77MB
  • 7. The Basics Loops/12. While Loops How and Why.mp428.41MB
  • 7. The Basics Loops/13. While Loop Example with User Input.mp433.08MB
  • 7. The Basics Loops/15. While Loops with Break and Continue.mp418.94MB
  • 7. The Basics Loops/8. Looping Through a Dictionary.mp412.4MB
  • 8. Putting the Pieces Together Building a Program/1. Problem Statement.mp415.09MB
  • 8. Putting the Pieces Together Building a Program/2. Approaching the Problem.mp48.51MB
  • 8. Putting the Pieces Together Building a Program/3. Building the Maker Function.mp428.4MB
  • 8. Putting the Pieces Together Building a Program/4. Constructing the Loop.mp428.44MB
  • 8. Putting the Pieces Together Building a Program/5. Making the Output User-Friendly.mp426.29MB
  • 9. List Comprehensions/1. Simple List Comprehension.mp416.38MB
  • 9. List Comprehensions/2. List Comprehension with If Conditional.mp46.14MB
  • 9. List Comprehensions/5. List Comprehension with If-Else Conditional.mp49.77MB