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种子名称:
[FreeCourseSite.com] Udemy - The Python Mega Course Build 10 Real World Applications
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视频
文件数目:
169个文件
文件大小:
3.3 GB
收录时间:
2019-3-28 13:17
已经下载:
3次
资源热度:
190
最近下载:
2024-12-25 02:21
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[FreeCourseSite.com] Udemy - The Python Mega Course Build 10 Real World Applications.torrent
1. Getting Started/1. Course Introduction.mp415.58MB
1. Getting Started/2. Skip the basics if you understand this code.mp42.68MB
1. Getting Started/3. Your First Python Program.mp410.04MB
1. Getting Started/4. List of Commands.mp411.82MB
1. Getting Started/5. Using the Python Shell.mp43.48MB
10. Application 4 Build a Website with Python and Flask/1. Program Demonstration.mp42.71MB
10. Application 4 Build a Website with Python and Flask/10. Maintaining the Live Website.mp415.58MB
10. Application 4 Build a Website with Python and Flask/2. Your First Website.mp415.77MB
10. Application 4 Build a Website with Python and Flask/3. HTML Templates.mp48.06MB
10. Application 4 Build a Website with Python and Flask/4. Navigation Menu.mp417.35MB
10. Application 4 Build a Website with Python and Flask/6. CSS Styling.mp412.71MB
10. Application 4 Build a Website with Python and Flask/7. Creating a Python Virtual Environment.mp413.2MB
10. Application 4 Build a Website with Python and Flask/9. Deploying the Website to a Live Server.mp456.77MB
11. Graphical User Interfaces with Tkinter/1. Introduction to Tkinter.mp44.46MB
11. Graphical User Interfaces with Tkinter/2. Setting up a GUI with Widgets.mp416.23MB
11. Graphical User Interfaces with Tkinter/3. Connecting GUI Widgets with Callback Functions.mp416.99MB
12. Interacting with Databases with Python/1. Introduction to Python with Databases.mp44.99MB
12. Interacting with Databases with Python/2. Connecting and Inserting Data to SQLite via Python.mp423.93MB
12. Interacting with Databases with Python/3. Selecting, Inserting, Deleting, and Updating SQLite Records.mp413.51MB
12. Interacting with Databases with Python/4. Introduction to PostgreSQL Psycopg2.mp420.35MB
12. Interacting with Databases with Python/5. Selecting, Inserting, Deleting, and Updating PostgreSQL Records.mp427.68MB
13. Application 5 Build a Desktop Database Application/1. Program Demonstration.mp44.32MB
13. Application 5 Build a Desktop Database Application/2. User Interface Design.mp49.75MB
13. Application 5 Build a Desktop Database Application/3. Frontend Interface.mp426.18MB
13. Application 5 Build a Desktop Database Application/4. Backend.mp446.7MB
13. Application 5 Build a Desktop Database Application/5. Connecting the Frontend to the Backend, Part 1.mp437.35MB
13. Application 5 Build a Desktop Database Application/6. Connecting the Frontend to the Backend, Part 2.mp449.09MB
13. Application 5 Build a Desktop Database Application/9. Creating a Standalone Executable Version of the Program.mp410.81MB
14. Object Oriented Programming/1. Object Oriented Programming Explained.mp49.8MB
14. Object Oriented Programming/2. Turning this Application into OOP Style, Part 1.mp430.69MB
14. Object Oriented Programming/3. Turning this Application into OOP Style, Part 2.mp434.25MB
14. Object Oriented Programming/4. Creating a Bank Account Object.mp439.2MB
14. Object Oriented Programming/5. Inheritance.mp422.47MB
14. Object Oriented Programming/6. OOP Glossary.mp416.35MB
15. Python for Image and Video Processing with OpenCV/1. Introduction.mp44.05MB
15. Python for Image and Video Processing with OpenCV/3. Loading, Displaying, Resizing, and Writing Images.mp430.95MB
15. Python for Image and Video Processing with OpenCV/6. Solution with Explanations.mp48.16MB
15. Python for Image and Video Processing with OpenCV/7. Face Detection.mp440.59MB
15. Python for Image and Video Processing with OpenCV/8. Capturing Video.mp436.14MB
16. Application 6 Build a Webcam Motion Detector/1. Program Demonstration.mp45.53MB
16. Application 6 Build a Webcam Motion Detector/2. Detecting Webcam Objects.mp463.79MB
16. Application 6 Build a Webcam Motion Detector/3. Capturing Motion Time.mp449.45MB
17. Interactive Data Visualization with Python/1. Introduction to Bokeh.mp43.89MB
17. Interactive Data Visualization with Python/14. Time-series Plots.mp415.43MB
17. Interactive Data Visualization with Python/15. More Visualization Examples with Bokeh.mp411.91MB
17. Interactive Data Visualization with Python/16. Plotting Time Intervals of the Motion Detector.mp428.73MB
17. Interactive Data Visualization with Python/17. Hover Tool Implementation.mp420.36MB
17. Interactive Data Visualization with Python/3. Your First Bokeh Plot.mp419.38MB
17. Interactive Data Visualization with Python/6. Using Bokeh with Pandas.mp410.42MB
18. Webscraping with BeautifulSoup/1. Section Introduction.mp43.19MB
18. Webscraping with BeautifulSoup/2. The Concept Behind Webscraping.mp410.17MB
18. Webscraping with BeautifulSoup/3. Webscraping Example.mp437.38MB
19. Application 7 Scrape Real Estate Property Data from the Web/1. Program Demonstration.mp46.95MB
19. Application 7 Scrape Real Estate Property Data from the Web/2. Loading the Webpage in Python.mp422.17MB
19. Application 7 Scrape Real Estate Property Data from the Web/3. Extracting div Tags.mp431.34MB
19. Application 7 Scrape Real Estate Property Data from the Web/4. Extracting Addresses and Property Details.mp437.06MB
19. Application 7 Scrape Real Estate Property Data from the Web/5. Extracting Elements without Unique Identifiers.mp432.17MB
19. Application 7 Scrape Real Estate Property Data from the Web/6. Saving the Extracted Data in CSV Files.mp421.97MB
19. Application 7 Scrape Real Estate Property Data from the Web/7. Crawling Through Webpages.mp458.79MB
2. Python Basics/1. Small Code Example.mp410.87MB
2. Python Basics/10. Built-in Functions.mp48.87MB
2. Python Basics/12. Lists.mp411.95MB
2. Python Basics/14. List Indexing and Slicing.mp49.01MB
2. Python Basics/2. Variables.mp48.68MB
2. Python Basics/21. List Methods.mp48.25MB
2. Python Basics/28. Dictionaries.mp44.09MB
2. Python Basics/3. Strings.mp44.23MB
2. Python Basics/31. User Input.mp411.51MB
2. Python Basics/32. Conditionals.mp417.15MB
2. Python Basics/33. Conditionals with Multiple Conditions.mp47.17MB
2. Python Basics/35. Custom Functions.mp46.68MB
2. Python Basics/36. Custom Functions Example.mp49.43MB
2. Python Basics/39. Custom Functions Return vs Print.mp411.66MB
2. Python Basics/4. Numbers.mp43.45MB
2. Python Basics/40. Custom Functions with Conditionals.mp49.04MB
2. Python Basics/43. Custom Functions with Multiple Parameters.mp45.17MB
2. Python Basics/46. Custom Functions with Default Parameters.mp42.62MB
2. Python Basics/54. Opening Files in Python.mp410.44MB
2. Python Basics/55. Working with File Paths.mp45.51MB
2. Python Basics/56. Processing File Content.mp410.03MB
2. Python Basics/59. For Loops.mp416.72MB
2. Python Basics/69. Writing Text to a File.mp410.79MB
2. Python Basics/70. Appending Text to a File.mp43.03MB
2. Python Basics/71. Reading and Appending Text to a File.mp45.42MB
20. Application 8 Build a Web-based Financial Graph/1. Program Demonstration.mp43.46MB
20. Application 8 Build a Web-based Financial Graph/10. Embedding the Bokeh Chart in a Webpage.mp436.77MB
20. Application 8 Build a Web-based Financial Graph/11. Deploying the Chart Website to a Live Server.mp425.31MB
20. Application 8 Build a Web-based Financial Graph/2. Downloading Datasets with Python.mp431.7MB
20. Application 8 Build a Web-based Financial Graph/3. Stock Market Data.mp46.87MB
20. Application 8 Build a Web-based Financial Graph/4. Stock Market Data Candlestick Charts.mp411.51MB
20. Application 8 Build a Web-based Financial Graph/5. Candlestick Charts with Bokeh Quadrants.mp422.27MB
20. Application 8 Build a Web-based Financial Graph/6. Candlestick Charts with Bokeh Rectangles.mp451.06MB
20. Application 8 Build a Web-based Financial Graph/7. Candlestick Segments.mp414.24MB
20. Application 8 Build a Web-based Financial Graph/8. Stylizing the Chart.mp447.54MB
20. Application 8 Build a Web-based Financial Graph/9. The Concept Behind Embedding Bokeh Charts in a Flask Webpage.mp438.03MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/1. Demonstration of the Web Application.mp45.87MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/10. Deploying the Web Application to a Live Server.mp474.97MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/11. Bonus Lecture Implementing Download and Upload in your Web App.mp455.3MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/2. PostGreSQL Database Web App with Flask Steps.mp410.2MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/3. Frontend HTML Part.mp426.76MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/4. Frontend CSS Part.mp420.9MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/5. Backend Getting User Input.mp434.04MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/6. Backend The PostGreSQL Database Model.mp440.8MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/7. Backend Storing User Data to the Database.mp450.03MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/8. Backend Emailing Database Values Back to the User.mp425.93MB
21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/9. Backend Sending Statistics to Users.mp440.17MB
22. Application 10 Student Project on Building a Geocoder Web Service/1. Program Demonstration.mp414.36MB
22. Application 10 Student Project on Building a Geocoder Web Service/2. Solution, Part 1.mp435.34MB
22. Application 10 Student Project on Building a Geocoder Web Service/3. Solution, Part 2.mp413.86MB
22. Application 10 Student Project on Building a Geocoder Web Service/4. End of the Course.mp45.08MB
24. Bonus Section Python Contests/2. Contest #1 Code Review.mp471.94MB
24. Bonus Section Python Contests/3. Contest #2 Code Review.mp439.73MB
3. Beyond the Basics/1. Section Introduction.mp42.79MB
3. Beyond the Basics/10. Looping Multiple Sequences.mp42.24MB
3. Beyond the Basics/11. The with Context Manager.mp44.29MB
3. Beyond the Basics/2. Setting Up.mp49.37MB
3. Beyond the Basics/3. While Loop.mp47.52MB
3. Beyond the Basics/4. While Loop with Password Checker.mp44.55MB
3. Beyond the Basics/5. String Formatting.mp45.69MB
3. Beyond the Basics/6. Modules, Libraries, and Packages.mp422.54MB
3. Beyond the Basics/8. Dates and Times.mp411.48MB
4. Fixing Programming Errors/1. Syntax Errors.mp414.11MB
4. Fixing Programming Errors/2. Runtime Errors.mp419.09MB
4. Fixing Programming Errors/4. How to Fix Difficult Errors.mp417.26MB
4. Fixing Programming Errors/5. Good Programming Questions.mp416.89MB
4. Fixing Programming Errors/6. Error Handling.mp414.21MB
5. Application 1 Build an Interactive Dictionary/1. Program Demonstration.mp47.62MB
5. Application 1 Build an Interactive Dictionary/10. Confirmation from the User.mp420.19MB
5. Application 1 Build an Interactive Dictionary/11. Optimizing the Final Output.mp415.34MB
5. Application 1 Build an Interactive Dictionary/2. The Data Source.mp411.72MB
5. Application 1 Build an Interactive Dictionary/3. Loading JSON Data.mp423.69MB
5. Application 1 Build an Interactive Dictionary/4. Returning the Definition of a Word.mp47.44MB
5. Application 1 Build an Interactive Dictionary/5. Accounting for non-existing Words.mp46.45MB
5. Application 1 Build an Interactive Dictionary/6. Implementing Case Sensitivity.mp46.54MB
5. Application 1 Build an Interactive Dictionary/7. Similarity Ratio Between Two Words.mp412.24MB
5. Application 1 Build an Interactive Dictionary/8. Best Matches out of a List of Words.mp419.58MB
5. Application 1 Build an Interactive Dictionary/9. Recommending the Best Match.mp418.65MB
6. Data Analysis with Pandas/1. What is Pandas.mp416.87MB
6. Data Analysis with Pandas/11. Example Geocoding Addresses with Pandas and Geopy.mp4162.24MB
6. Data Analysis with Pandas/3. Getting Started with Pandas.mp415.91MB
6. Data Analysis with Pandas/4. Getting Started with Jupyter Notebooks.mp426.75MB
6. Data Analysis with Pandas/6. Loading CSV, Excel, TXT and JSON Files.mp434.9MB
6. Data Analysis with Pandas/7. Indexing and Slicing DataFrame Tables.mp421.73MB
6. Data Analysis with Pandas/8. Deleting Columns and Rows.mp45.74MB
6. Data Analysis with Pandas/9. Updating and Adding new Columns and Rows.mp417.32MB
7. Numpy/1. What is Numpy.mp414.17MB
7. Numpy/3. Convert Images to Numpy Arrays.mp411.75MB
7. Numpy/4. Indexing, Slicing, and Iterating Numpy Arrays.mp48.03MB
7. Numpy/5. Stacking and Splitting Numpy Arrays.mp411.93MB
8. Application 2 Create Webmaps with Python and Folium/1. Program Demonstration.mp43.84MB
8. Application 2 Create Webmaps with Python and Folium/11. Solution.mp44.29MB
8. Application 2 Create Webmaps with Python and Folium/12. GeoJson Data.mp428.34MB
8. Application 2 Create Webmaps with Python and Folium/13. Adding a GeoJson Polygon Layer.mp413.44MB
8. Application 2 Create Webmaps with Python and Folium/14. Choropleth Map.mp427.73MB
8. Application 2 Create Webmaps with Python and Folium/15. Layer Control Panel.mp417.28MB
8. Application 2 Create Webmaps with Python and Folium/2. The Basemap.mp434.64MB
8. Application 2 Create Webmaps with Python and Folium/3. Adding Points.mp420.52MB
8. Application 2 Create Webmaps with Python and Folium/4. Adding Multiple Points.mp49.58MB
8. Application 2 Create Webmaps with Python and Folium/5. Adding Points from Files.mp437.38MB
8. Application 2 Create Webmaps with Python and Folium/6. Popup Windows on Map.mp412.47MB
8. Application 2 Create Webmaps with Python and Folium/8. Color Points.mp420.45MB
9. Application 3 Build a Website Blocker/1. Program Demonstration.mp46.84MB
9. Application 3 Build a Website Blocker/2. Application Architecture.mp47.96MB
9. Application 3 Build a Website Blocker/3. Setting up the Script.mp418.16MB
9. Application 3 Build a Website Blocker/4. Setting up the Infinite Loop.mp419.73MB
9. Application 3 Build a Website Blocker/5. Implementing the First Part.mp426.33MB
9. Application 3 Build a Website Blocker/6. Implementing the Second Part.mp445.23MB
9. Application 3 Build a Website Blocker/8. Scheduling the Python Program on Windows.mp430.22MB
9. Application 3 Build a Website Blocker/9. Scheduling the Python Program on Mac and Linux.mp414.27MB