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种子名称：
[GigaCourse.Com] Udemy - The Python Mega Course - Build 10 Real World Applications
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视频
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231个文件
文件大小：
14 GB
收录时间：
2023-1-26 15:24
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资源热度：
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最近下载：
2024-5-26 17:16
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[GigaCourse.Com] Udemy - The Python Mega Course - Build 10 Real World Applications.torrent
01 Introduction/001 Best Way to Learn Python.mp470.35MB
01 Introduction/002 Overview of the Course and the 10 Apps.mp472.18MB
01 Introduction/004 Installing Python 3 and the IDE (Windows, Mac, and Linux).mp495.4MB
01 Introduction/005 Optimizing the Environment for Python.mp433.18MB
02 The Basics_ Getting Started with Python/008 Writing Our First Python Program.mp459.82MB
02 The Basics_ Getting Started with Python/009 Variables and their Use in a Program.mp437.08MB
02 The Basics_ Getting Started with Python/010 The Python Shell.mp438.36MB
03 The Basics_ Data Types/013 Simple Types_ Integers, Strings, and Floats.mp49.83MB
03 The Basics_ Data Types/014 List Types.mp43MB
03 The Basics_ Data Types/016 Attributes.mp412.16MB
03 The Basics_ Data Types/018 How to Find Out What Code You Need.mp437.56MB
03 The Basics_ Data Types/019 Bonus_ Steps of Learning Python.mp46.82MB
03 The Basics_ Data Types/020 Dictionary Types.mp417.89MB
03 The Basics_ Data Types/022 Tuple Types.mp411.46MB
03 The Basics_ Data Types/023 How to Use Datatypes in the Real World_.mp45.79MB
04 The Basics_ Operations with Data Types/026 Python Shell and Terminal Tip.mp44.01MB
04 The Basics_ Operations with Data Types/028 More Operations with Lists.mp429.19MB
04 The Basics_ Operations with Data Types/029 Accessing List Items.mp410.57MB
04 The Basics_ Operations with Data Types/030 Accessing List Slices.mp414.73MB
04 The Basics_ Operations with Data Types/031 Accessing Items and Slices with Negative Indexes.mp411.23MB
04 The Basics_ Operations with Data Types/032 Accessing Characters and Slices in Strings.mp46.81MB
04 The Basics_ Operations with Data Types/034 Accessing Items in Dictionaries.mp48.78MB
05 The Basics_ Functions and Conditionals/037 Creating Your Own Functions.mp430.37MB
05 The Basics_ Functions and Conditionals/038 Print or Return_.mp422.78MB
05 The Basics_ Functions and Conditionals/039 Intro to Conditionals.mp44.86MB
05 The Basics_ Functions and Conditionals/040 If Conditional Example.mp419.62MB
05 The Basics_ Functions and Conditionals/042 Conditional Explained Line by Line.mp416.1MB
05 The Basics_ Functions and Conditionals/043 More on Conditionals.mp412.24MB
05 The Basics_ Functions and Conditionals/044 Elif Conditionals.mp46.11MB
05 The Basics_ Functions and Conditionals/045 White Space.mp422.3MB
06 The Basics_ Processing User Input/047 User Input.mp441.26MB
06 The Basics_ Processing User Input/048 String Formatting.mp417.16MB
06 The Basics_ Processing User Input/049 String Formatting with Multiple Variables.mp417.08MB
07 The Basics_ Loops/051 For Loops_ How and Why.mp430.27MB
07 The Basics_ Loops/054 Looping Through a Dictionary.mp45.96MB
07 The Basics_ Loops/056 While Loops_ How and Why.mp414.16MB
07 The Basics_ Loops/057 While Loop Example with User Input.mp416.19MB
07 The Basics_ Loops/058 While Loops with Break and Continue.mp411.07MB
08 Putting the Pieces Together_ Building a Program/060 Problem Statement.mp49.79MB
08 Putting the Pieces Together_ Building a Program/061 Approaching the Problem.mp45.17MB
08 Putting the Pieces Together_ Building a Program/062 Building the Maker Function.mp417.12MB
08 Putting the Pieces Together_ Building a Program/063 Constructing the Loop.mp416.46MB
08 Putting the Pieces Together_ Building a Program/064 Making the Output User-Friendly.mp414.6MB
09 List Comprehensions/065 Simple List Comprehension.mp49.95MB
09 List Comprehensions/066 List Comprehension with If Conditional.mp43.76MB
09 List Comprehensions/067 List Comprehension with If-Else Conditional.mp45.59MB
10 More About Functions/069 Functions with Multiple Arguments.mp48.11MB
10 More About Functions/071 Default and Non-default Parameters and Keyword and Non-keyword Arguments.mp414.23MB
10 More About Functions/072 Functions with an Arbitrary Number of Non-keyword Arguments.mp418.01MB
10 More About Functions/073 Functions with an Arbitrary Number of Keyword Arguments.mp47.6MB
11 File Processing/075 The Concept of Processing Files in Python.mp47.46MB
11 File Processing/076 Reading Text From a File.mp48.66MB
11 File Processing/077 File Cursor.mp45.85MB
11 File Processing/078 Closing a File.mp44.78MB
11 File Processing/079 Opening Files Using _with_.mp46.24MB
11 File Processing/080 Different Filepaths.mp44.54MB
11 File Processing/081 Writing Text to a File.mp415.57MB
11 File Processing/082 Appending Text to an Existing File.mp415.36MB
12 Modules/084 Builtin Modules.mp439.31MB
12 Modules/085 Standard Python Modules.mp464.74MB
12 Modules/086 Third-Party Modules.mp431.65MB
12 Modules/087 Third-Party Module Example.mp415.17MB
13 Application 1_ Building an English Thesaurus/090 Interactive English Dictionary - How The Output Will Look Like.mp412.11MB
13 Application 1_ Building an English Thesaurus/091 Know Your Dataset.mp447.65MB
13 Application 1_ Building an English Thesaurus/092 Loading JSON Data.mp447.11MB
13 Application 1_ Building an English Thesaurus/093 Returning the Definition of a Word.mp415.79MB
13 Application 1_ Building an English Thesaurus/094 Non-Existing Words.mp411.36MB
13 Application 1_ Building an English Thesaurus/095 Letter Case.mp414.16MB
13 Application 1_ Building an English Thesaurus/096 Similarity Ratio Between Two Words.mp438.3MB
13 Application 1_ Building an English Thesaurus/097 Best Matches out of a List of Words.mp460.31MB
13 Application 1_ Building an English Thesaurus/098 Recommending the Best Match.mp439.92MB
13 Application 1_ Building an English Thesaurus/099 Confirmation from the User.mp443.67MB
13 Application 1_ Building an English Thesaurus/100 Optimizing the Final Output.mp433.4MB
14 Python and MySQL_ Interactive English Dictionary/106 Intro to the App.mp418.92MB
14 Python and MySQL_ Interactive English Dictionary/107 Making the App.mp449.71MB
15 Working with CSV, JSON, and Excel Files/109 What is Pandas_.mp47.67MB
15 Working with CSV, JSON, and Excel Files/111 Getting Started with Pandas.mp433.3MB
15 Working with CSV, JSON, and Excel Files/113 Getting Started with Jupyter Notebooks.mp489.34MB
15 Working with CSV, JSON, and Excel Files/114 Loading CSV Files.mp445.1MB
15 Working with CSV, JSON, and Excel Files/118 Loading Excel Files.mp46.21MB
15 Working with CSV, JSON, and Excel Files/119 Loading TXT Files.mp433.91MB
15 Working with CSV, JSON, and Excel Files/120 Set Header Row.mp414.7MB
15 Working with CSV, JSON, and Excel Files/121 Set Column Names.mp410.1MB
15 Working with CSV, JSON, and Excel Files/122 Set Index Column.mp453.48MB
15 Working with CSV, JSON, and Excel Files/123 Indexing and Slicing.mp433.82MB
15 Working with CSV, JSON, and Excel Files/124 Deleting Columns and Rows.mp438.72MB
15 Working with CSV, JSON, and Excel Files/125 Updating and Adding new Columns and Rows.mp493.18MB
15 Working with CSV, JSON, and Excel Files/127 Example_ Geocoding Addresses with Pandas and Geopy.mp4292.31MB
16 Numerical and Scientific Computing with Python and Numpy/128 What is Numpy_.mp441.66MB
16 Numerical and Scientific Computing with Python and Numpy/130 Convert Images to Numpy Arrays.mp427.82MB
16 Numerical and Scientific Computing with Python and Numpy/131 Indexing, Slicing, and Iterating Numpy Arrays.mp420.6MB
16 Numerical and Scientific Computing with Python and Numpy/132 Stacking and Splitting Numpy Arrays.mp425.64MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/133 Web Map - How The Output Will Look Like.mp415.22MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/134 The Basemap.mp4171.89MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/136 Adding Points.mp489.18MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/137 Adding Multiple Points.mp422.52MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/138 Adding Points from Files.mp4135.73MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/139 Popup Windows on Map.mp459.32MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/141 Color Points.mp468.79MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/144 Solution.mp47.96MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/145 GeoJson Data.mp488.89MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/146 Adding a GeoJson Polygon Layer.mp449.35MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/147 Choropleth Map.mp4138.82MB
17 Application 2_ Volcano & Population Web Map with Pandas and Folium/148 Layer Control Panel.mp467.24MB
18 Fixing Programming Errors/149 Syntax Errors.mp423.05MB
18 Fixing Programming Errors/150 Runtime Errors.mp432.93MB
18 Fixing Programming Errors/151 How to Fix Difficult Errors.mp432.94MB
18 Fixing Programming Errors/152 Good Programming Questions.mp436.72MB
18 Fixing Programming Errors/153 Error Handling.mp425.1MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/154 The Purpose of this Section.mp410.44MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/157 Exploring the Dataset with Python.mp431.15MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/158 Selecting Data.mp456.28MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/159 Filtering the Dataset.mp454.04MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/160 Time-Based Filtering.mp478.36MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/161 Turning Data into Information.mp480.85MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/162 Aggregating and Plotting Average Ratings by Day.mp4104.43MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/163 Downsampling and Plotting Average Ratings by Week.mp4105.93MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/164 Downsampling and Plotting Average Ratings by Month.mp420.3MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/165 Average Ratings by Course by Month.mp496.22MB
19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/166 What Day of the Week are People the Happiest_.mp475.06MB
20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/168 Intro to the Interactive Visualization Section.mp420.37MB
20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/169 Making a Simple Web App.mp482.11MB
20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/170 Making a Data Visualization Web App.mp4248.47MB
20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/171 Changing Graph Labels in the Web App.mp417.77MB
20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/172 Adding a Time-Series Graph on the Web App.mp448.54MB
20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/175 Multiple Time-Series Plots.mp4209.09MB
20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/176 Multiple Time-Series Streamgraph.mp448.46MB
20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/179 Adding a Pie Chart to the Web App.mp4136.68MB
21 Application 4_ Personal Website with Python and Flask/180 Personal Website - How The Output Will Look Like.mp43.51MB
21 Application 4_ Personal Website with Python and Flask/181 Your First Website.mp427.43MB
21 Application 4_ Personal Website with Python and Flask/182 HTML Templates.mp416.71MB
21 Application 4_ Personal Website with Python and Flask/183 Navigation Menu.mp471.89MB
21 Application 4_ Personal Website with Python and Flask/185 CSS Styling.mp455.45MB
21 Application 4_ Personal Website with Python and Flask/186 Creating a Python Virtual Environment.mp439.5MB
21 Application 4_ Personal Website with Python and Flask/188 Deploying the Website to a Live Server.mp4147.45MB
21 Application 4_ Personal Website with Python and Flask/189 Maintaining the Live Website.mp469.5MB
22 Graphical User Interfaces (GUI) with Tkinter/192 Introduction to Tkinter.mp48.29MB
22 Graphical User Interfaces (GUI) with Tkinter/193 Setting up a GUI with Widgets.mp430.7MB
22 Graphical User Interfaces (GUI) with Tkinter/194 Connecting GUI Widgets with Callback Functions.mp439.44MB
23 Interacting with Databases/197 Introduction to _Python with Databases_.mp49.13MB
23 Interacting with Databases/198 Connecting and Inserting Data to SQLite via Python.mp453.81MB
23 Interacting with Databases/199 Selecting, Inserting, Deleting, and Updating SQLite Records.mp434.08MB
23 Interacting with Databases/200 Introduction to PostgreSQL Psycopg2.mp4105.16MB
23 Interacting with Databases/201 Selecting, Inserting, Deleting, and Updating PostgreSQL Records.mp478.6MB
24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/203 Desktop Database App - How The Output Will Look Like.mp48.8MB
24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/204 User Interface Design.mp416.52MB
24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/205 Frontend Interface.mp480.34MB
24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/206 Backend.mp4111.7MB
24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/207 Connecting the Frontend to the Backend, Part 1.mp483.65MB
24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/208 Connecting the Frontend to the Backend, Part 2.mp4110.97MB
24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/211 Creating a Standalone Executable Version of the Program.mp423.29MB
25 Object-Oriented Programming (OOP)/212 Object Oriented Programming Explained.mp422.76MB
25 Object-Oriented Programming (OOP)/213 Turning this Application into OOP Style, Part 1.mp466.54MB
25 Object-Oriented Programming (OOP)/214 Turning this Application into OOP Style, Part 2.mp477.36MB
25 Object-Oriented Programming (OOP)/215 Creating a Bank Account Object.mp485.99MB
25 Object-Oriented Programming (OOP)/216 Inheritance.mp450.64MB
25 Object-Oriented Programming (OOP)/217 OOP Glossary.mp437.42MB
26 Application 6_ Feel-Good Mobile App with Kivy/220 Mobile App - How the Output Will Look Like.mp433.93MB
26 Application 6_ Feel-Good Mobile App with Kivy/222 Creating a _Login Page_ (Frontend).mp474.52MB
26 Application 6_ Feel-Good Mobile App with Kivy/223 Creating a _Sign Up Page_ (Frontend) for New Users.mp447.21MB
26 Application 6_ Feel-Good Mobile App with Kivy/224 Getting User Input.mp430.17MB
26 Application 6_ Feel-Good Mobile App with Kivy/225 Implementing the _Sign Up Page_ (Backend).mp461.11MB
26 Application 6_ Feel-Good Mobile App with Kivy/226 Creating a _Sign Up Success Page_ (Frontend).mp424.92MB
26 Application 6_ Feel-Good Mobile App with Kivy/227 Switching Pages.mp416.31MB
26 Application 6_ Feel-Good Mobile App with Kivy/228 Implementing the _Login Page_ (Backend).mp4296.78MB
26 Application 6_ Feel-Good Mobile App with Kivy/229 Displaying Text to the User.mp4104.15MB
26 Application 6_ Feel-Good Mobile App with Kivy/230 Styiling the Login Page.mp479.33MB
26 Application 6_ Feel-Good Mobile App with Kivy/231 Styling the Sign Up Page.mp46.57MB
26 Application 6_ Feel-Good Mobile App with Kivy/232 Making a Dynamic Hover Button.mp461.81MB
26 Application 6_ Feel-Good Mobile App with Kivy/233 Making a Scrollable Area.mp444.37MB
27 Making an Android APK File from the Kivy App/235 Preparing the Environment for Deploying the App to and Android Phone.mp4110.29MB
27 Making an Android APK File from the Kivy App/236 Creating an APK file for Android.mp4153.8MB
27 Making an Android APK File from the Kivy App/237 Installing the APK file on Android.mp465.01MB
28 Python for Image and Video Processing with OpenCV/239 Introduction.mp45.83MB
28 Python for Image and Video Processing with OpenCV/241 Loading, Displaying, Resizing, and Writing Images.mp4123.91MB
28 Python for Image and Video Processing with OpenCV/244 Solution with Explanations.mp417.46MB
28 Python for Image and Video Processing with OpenCV/245 Face Detection.mp4179.91MB
28 Python for Image and Video Processing with OpenCV/246 Capturing Video.mp4130.7MB
29 Application 7_ Build a Webcam Motion Detector with OpenCV/247 Webcam Motion Detector - How The Output Will Look Like.mp48.62MB
29 Application 7_ Build a Webcam Motion Detector with OpenCV/248 Detecting Webcam Objects.mp4175.06MB
29 Application 7_ Build a Webcam Motion Detector with OpenCV/249 Capturing Motion Time.mp4225.98MB
30 Interactive Data Visualization with Bokeh/250 Introduction to Bokeh.mp48.79MB
30 Interactive Data Visualization with Bokeh/252 Your First Bokeh Plot.mp440.79MB
30 Interactive Data Visualization with Bokeh/255 Using Bokeh with Pandas.mp420.64MB
30 Interactive Data Visualization with Bokeh/263 Time-series Plots.mp475.77MB
30 Interactive Data Visualization with Bokeh/264 More Visualization Examples with Bokeh.mp442.16MB
30 Interactive Data Visualization with Bokeh/265 Plotting Time Intervals of the Motion Detector.mp468.08MB
30 Interactive Data Visualization with Bokeh/266 Hover Tool Implementation.mp457.01MB
31 Web Scraping with Python & Beautiful Soup/267 Section Introduction.mp44.11MB
31 Web Scraping with Python & Beautiful Soup/268 The Concept Behind Webscraping.mp419.15MB
31 Web Scraping with Python & Beautiful Soup/270 Webscraping Example.mp4187.74MB
32 Application 8_ Web Scraper of Real Estates/271 Scraped Website Data - How The Output Will Look Like.mp435.4MB
32 Application 8_ Web Scraper of Real Estates/273 Loading the Webpage in Python.mp4139.36MB
32 Application 8_ Web Scraper of Real Estates/274 Extracting _div_ Tags.mp4171.63MB
32 Application 8_ Web Scraper of Real Estates/275 Extracting Addresses and Property Details.mp4249.87MB
32 Application 8_ Web Scraper of Real Estates/276 Extracting Elements without Unique Identifiers.mp4185.17MB
32 Application 8_ Web Scraper of Real Estates/277 Saving the Extracted Data in CSV Files.mp4120.8MB
32 Application 8_ Web Scraper of Real Estates/278 Crawling Through Webpages.mp4349.28MB
33 Application 9_ Database Web App with Flask and PostGreSQL/279 Data Collector Web App - How The Output Will Look Like.mp415.75MB
33 Application 9_ Database Web App with Flask and PostGreSQL/280 PostGreSQL Database Web App with Flask_ Steps.mp416.28MB
33 Application 9_ Database Web App with Flask and PostGreSQL/281 Frontend_ HTML Part.mp488.68MB
33 Application 9_ Database Web App with Flask and PostGreSQL/282 Frontend_ CSS Part.mp452.63MB
33 Application 9_ Database Web App with Flask and PostGreSQL/283 Backend_ Getting User Input.mp4135.59MB
33 Application 9_ Database Web App with Flask and PostGreSQL/284 Backend_ The PostGreSQL Database Model.mp4213.53MB
33 Application 9_ Database Web App with Flask and PostGreSQL/285 Backend_ Storing User Data to the Database.mp4181.01MB
33 Application 9_ Database Web App with Flask and PostGreSQL/286 Backend_ Emailing Database Values Back to the User.mp4134.81MB
33 Application 9_ Database Web App with Flask and PostGreSQL/287 Backend_ Sending Statistics to Users.mp4126.78MB
33 Application 9_ Database Web App with Flask and PostGreSQL/288 Deploying the Web Application to a Live Server.mp4373.77MB
33 Application 9_ Database Web App with Flask and PostGreSQL/289 Bonus Lecture_ Implementing Download and Upload in your Web App.mp4232.75MB
34 Application 10_ (Project) Geocoder Web App with Flask and Pandas/290 Student Project - How The Output Should Look Like.mp446.95MB
34 Application 10_ (Project) Geocoder Web App with Flask and Pandas/291 Solution, Part 1.mp4107.31MB
34 Application 10_ (Project) Geocoder Web App with Flask and Pandas/292 Solution, Part 2.mp471.51MB
35 Bonus App_ Build a Website Blocker/294 Website Blocker - How The Output Will Look Like.mp412.26MB
35 Bonus App_ Build a Website Blocker/295 Application Architecture.mp422.63MB
35 Bonus App_ Build a Website Blocker/296 Setting up the Script.mp483.2MB
35 Bonus App_ Build a Website Blocker/297 Setting up the Infinite Loop.mp448.59MB
35 Bonus App_ Build a Website Blocker/298 Implementing the First Part.mp482.34MB
35 Bonus App_ Build a Website Blocker/299 Implementing the Second Part.mp4277.89MB
35 Bonus App_ Build a Website Blocker/300 Scheduling the Python Program on Windows.mp4153.45MB
35 Bonus App_ Build a Website Blocker/301 Scheduling the Python Program on Mac and Linux.mp438.89MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/303 Web-based Financial Graph - How The Output Will Look Like.mp46.43MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/304 Downloading Datasets with Python.mp4128.56MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/305 Stock Market Data.mp418.04MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/306 Stock Market Data Candlestick Charts.mp457.15MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/307 Candlestick Charts with Bokeh Quadrants.mp487.26MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/308 Candlestick Charts with Bokeh Rectangles.mp4324.94MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/309 Candlestick Segments.mp461.4MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/310 Stylizing the Chart.mp487.87MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/311 The Concept Behind Embedding Bokeh Charts in a Flask Webpage.mp4156.9MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/313 Embedding the Bokeh Chart in a Webpage.mp4213.7MB
36 Bonus App_ Data Visualization Dashboard with Bokeh/314 Deploying the Chart Website to a Live Server.mp4136.62MB
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