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[GigaCourse.Com] Udemy - The Python Mega Course - Build 10 Real World Applications

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GigaCourse Com Udemy - The Python Mega Course - Build 10 Real World Applications

文件列表
  1. 01 Introduction/001 Best Way to Learn Python.mp470.35MB
  2. 01 Introduction/002 Overview of the Course and the 10 Apps.mp472.18MB
  3. 01 Introduction/004 Installing Python 3 and the IDE (Windows, Mac, and Linux).mp495.4MB
  4. 01 Introduction/005 Optimizing the Environment for Python.mp433.18MB
  5. 02 The Basics_ Getting Started with Python/008 Writing Our First Python Program.mp459.82MB
  6. 02 The Basics_ Getting Started with Python/009 Variables and their Use in a Program.mp437.08MB
  7. 02 The Basics_ Getting Started with Python/010 The Python Shell.mp438.36MB
  8. 03 The Basics_ Data Types/013 Simple Types_ Integers, Strings, and Floats.mp49.83MB
  9. 03 The Basics_ Data Types/014 List Types.mp43MB
  10. 03 The Basics_ Data Types/016 Attributes.mp412.16MB
  11. 03 The Basics_ Data Types/018 How to Find Out What Code You Need.mp437.56MB
  12. 03 The Basics_ Data Types/019 Bonus_ Steps of Learning Python.mp46.82MB
  13. 03 The Basics_ Data Types/020 Dictionary Types.mp417.89MB
  14. 03 The Basics_ Data Types/022 Tuple Types.mp411.46MB
  15. 03 The Basics_ Data Types/023 How to Use Datatypes in the Real World_.mp45.79MB
  16. 04 The Basics_ Operations with Data Types/026 Python Shell and Terminal Tip.mp44.01MB
  17. 04 The Basics_ Operations with Data Types/028 More Operations with Lists.mp429.19MB
  18. 04 The Basics_ Operations with Data Types/029 Accessing List Items.mp410.57MB
  19. 04 The Basics_ Operations with Data Types/030 Accessing List Slices.mp414.73MB
  20. 04 The Basics_ Operations with Data Types/031 Accessing Items and Slices with Negative Indexes.mp411.23MB
  21. 04 The Basics_ Operations with Data Types/032 Accessing Characters and Slices in Strings.mp46.81MB
  22. 04 The Basics_ Operations with Data Types/034 Accessing Items in Dictionaries.mp48.78MB
  23. 05 The Basics_ Functions and Conditionals/037 Creating Your Own Functions.mp430.37MB
  24. 05 The Basics_ Functions and Conditionals/038 Print or Return_.mp422.78MB
  25. 05 The Basics_ Functions and Conditionals/039 Intro to Conditionals.mp44.86MB
  26. 05 The Basics_ Functions and Conditionals/040 If Conditional Example.mp419.62MB
  27. 05 The Basics_ Functions and Conditionals/042 Conditional Explained Line by Line.mp416.1MB
  28. 05 The Basics_ Functions and Conditionals/043 More on Conditionals.mp412.24MB
  29. 05 The Basics_ Functions and Conditionals/044 Elif Conditionals.mp46.11MB
  30. 05 The Basics_ Functions and Conditionals/045 White Space.mp422.3MB
  31. 06 The Basics_ Processing User Input/047 User Input.mp441.26MB
  32. 06 The Basics_ Processing User Input/048 String Formatting.mp417.16MB
  33. 06 The Basics_ Processing User Input/049 String Formatting with Multiple Variables.mp417.08MB
  34. 07 The Basics_ Loops/051 For Loops_ How and Why.mp430.27MB
  35. 07 The Basics_ Loops/054 Looping Through a Dictionary.mp45.96MB
  36. 07 The Basics_ Loops/056 While Loops_ How and Why.mp414.16MB
  37. 07 The Basics_ Loops/057 While Loop Example with User Input.mp416.19MB
  38. 07 The Basics_ Loops/058 While Loops with Break and Continue.mp411.07MB
  39. 08 Putting the Pieces Together_ Building a Program/060 Problem Statement.mp49.79MB
  40. 08 Putting the Pieces Together_ Building a Program/061 Approaching the Problem.mp45.17MB
  41. 08 Putting the Pieces Together_ Building a Program/062 Building the Maker Function.mp417.12MB
  42. 08 Putting the Pieces Together_ Building a Program/063 Constructing the Loop.mp416.46MB
  43. 08 Putting the Pieces Together_ Building a Program/064 Making the Output User-Friendly.mp414.6MB
  44. 09 List Comprehensions/065 Simple List Comprehension.mp49.95MB
  45. 09 List Comprehensions/066 List Comprehension with If Conditional.mp43.76MB
  46. 09 List Comprehensions/067 List Comprehension with If-Else Conditional.mp45.59MB
  47. 10 More About Functions/069 Functions with Multiple Arguments.mp48.11MB
  48. 10 More About Functions/071 Default and Non-default Parameters and Keyword and Non-keyword Arguments.mp414.23MB
  49. 10 More About Functions/072 Functions with an Arbitrary Number of Non-keyword Arguments.mp418.01MB
  50. 10 More About Functions/073 Functions with an Arbitrary Number of Keyword Arguments.mp47.6MB
  51. 11 File Processing/075 The Concept of Processing Files in Python.mp47.46MB
  52. 11 File Processing/076 Reading Text From a File.mp48.66MB
  53. 11 File Processing/077 File Cursor.mp45.85MB
  54. 11 File Processing/078 Closing a File.mp44.78MB
  55. 11 File Processing/079 Opening Files Using _with_.mp46.24MB
  56. 11 File Processing/080 Different Filepaths.mp44.54MB
  57. 11 File Processing/081 Writing Text to a File.mp415.57MB
  58. 11 File Processing/082 Appending Text to an Existing File.mp415.36MB
  59. 12 Modules/084 Builtin Modules.mp439.31MB
  60. 12 Modules/085 Standard Python Modules.mp464.74MB
  61. 12 Modules/086 Third-Party Modules.mp431.65MB
  62. 12 Modules/087 Third-Party Module Example.mp415.17MB
  63. 13 Application 1_ Building an English Thesaurus/090 Interactive English Dictionary - How The Output Will Look Like.mp412.11MB
  64. 13 Application 1_ Building an English Thesaurus/091 Know Your Dataset.mp447.65MB
  65. 13 Application 1_ Building an English Thesaurus/092 Loading JSON Data.mp447.11MB
  66. 13 Application 1_ Building an English Thesaurus/093 Returning the Definition of a Word.mp415.79MB
  67. 13 Application 1_ Building an English Thesaurus/094 Non-Existing Words.mp411.36MB
  68. 13 Application 1_ Building an English Thesaurus/095 Letter Case.mp414.16MB
  69. 13 Application 1_ Building an English Thesaurus/096 Similarity Ratio Between Two Words.mp438.3MB
  70. 13 Application 1_ Building an English Thesaurus/097 Best Matches out of a List of Words.mp460.31MB
  71. 13 Application 1_ Building an English Thesaurus/098 Recommending the Best Match.mp439.92MB
  72. 13 Application 1_ Building an English Thesaurus/099 Confirmation from the User.mp443.67MB
  73. 13 Application 1_ Building an English Thesaurus/100 Optimizing the Final Output.mp433.4MB
  74. 14 Python and MySQL_ Interactive English Dictionary/106 Intro to the App.mp418.92MB
  75. 14 Python and MySQL_ Interactive English Dictionary/107 Making the App.mp449.71MB
  76. 15 Working with CSV, JSON, and Excel Files/109 What is Pandas_.mp47.67MB
  77. 15 Working with CSV, JSON, and Excel Files/111 Getting Started with Pandas.mp433.3MB
  78. 15 Working with CSV, JSON, and Excel Files/113 Getting Started with Jupyter Notebooks.mp489.34MB
  79. 15 Working with CSV, JSON, and Excel Files/114 Loading CSV Files.mp445.1MB
  80. 15 Working with CSV, JSON, and Excel Files/118 Loading Excel Files.mp46.21MB
  81. 15 Working with CSV, JSON, and Excel Files/119 Loading TXT Files.mp433.91MB
  82. 15 Working with CSV, JSON, and Excel Files/120 Set Header Row.mp414.7MB
  83. 15 Working with CSV, JSON, and Excel Files/121 Set Column Names.mp410.1MB
  84. 15 Working with CSV, JSON, and Excel Files/122 Set Index Column.mp453.48MB
  85. 15 Working with CSV, JSON, and Excel Files/123 Indexing and Slicing.mp433.82MB
  86. 15 Working with CSV, JSON, and Excel Files/124 Deleting Columns and Rows.mp438.72MB
  87. 15 Working with CSV, JSON, and Excel Files/125 Updating and Adding new Columns and Rows.mp493.18MB
  88. 15 Working with CSV, JSON, and Excel Files/127 Example_ Geocoding Addresses with Pandas and Geopy.mp4292.31MB
  89. 16 Numerical and Scientific Computing with Python and Numpy/128 What is Numpy_.mp441.66MB
  90. 16 Numerical and Scientific Computing with Python and Numpy/130 Convert Images to Numpy Arrays.mp427.82MB
  91. 16 Numerical and Scientific Computing with Python and Numpy/131 Indexing, Slicing, and Iterating Numpy Arrays.mp420.6MB
  92. 16 Numerical and Scientific Computing with Python and Numpy/132 Stacking and Splitting Numpy Arrays.mp425.64MB
  93. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/133 Web Map - How The Output Will Look Like.mp415.22MB
  94. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/134 The Basemap.mp4171.89MB
  95. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/136 Adding Points.mp489.18MB
  96. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/137 Adding Multiple Points.mp422.52MB
  97. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/138 Adding Points from Files.mp4135.73MB
  98. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/139 Popup Windows on Map.mp459.32MB
  99. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/141 Color Points.mp468.79MB
  100. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/144 Solution.mp47.96MB
  101. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/145 GeoJson Data.mp488.89MB
  102. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/146 Adding a GeoJson Polygon Layer.mp449.35MB
  103. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/147 Choropleth Map.mp4138.82MB
  104. 17 Application 2_ Volcano & Population Web Map with Pandas and Folium/148 Layer Control Panel.mp467.24MB
  105. 18 Fixing Programming Errors/149 Syntax Errors.mp423.05MB
  106. 18 Fixing Programming Errors/150 Runtime Errors.mp432.93MB
  107. 18 Fixing Programming Errors/151 How to Fix Difficult Errors.mp432.94MB
  108. 18 Fixing Programming Errors/152 Good Programming Questions.mp436.72MB
  109. 18 Fixing Programming Errors/153 Error Handling.mp425.1MB
  110. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/154 The Purpose of this Section.mp410.44MB
  111. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/157 Exploring the Dataset with Python.mp431.15MB
  112. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/158 Selecting Data.mp456.28MB
  113. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/159 Filtering the Dataset.mp454.04MB
  114. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/160 Time-Based Filtering.mp478.36MB
  115. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/161 Turning Data into Information.mp480.85MB
  116. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/162 Aggregating and Plotting Average Ratings by Day.mp4104.43MB
  117. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/163 Downsampling and Plotting Average Ratings by Week.mp4105.93MB
  118. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/164 Downsampling and Plotting Average Ratings by Month.mp420.3MB
  119. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/165 Average Ratings by Course by Month.mp496.22MB
  120. 19 Application 3 (Part 1 )_ Data Analysis and Visualisation_ Pandas & Matplotlib/166 What Day of the Week are People the Happiest_.mp475.06MB
  121. 20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/168 Intro to the Interactive Visualization Section.mp420.37MB
  122. 20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/169 Making a Simple Web App.mp482.11MB
  123. 20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/170 Making a Data Visualization Web App.mp4248.47MB
  124. 20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/171 Changing Graph Labels in the Web App.mp417.77MB
  125. 20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/172 Adding a Time-Series Graph on the Web App.mp448.54MB
  126. 20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/175 Multiple Time-Series Plots.mp4209.09MB
  127. 20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/176 Multiple Time-Series Streamgraph.mp448.46MB
  128. 20 Application 3 (Part 2)_ Data Analysis and Visualization_ Interactive HighCharts/179 Adding a Pie Chart to the Web App.mp4136.68MB
  129. 21 Application 4_ Personal Website with Python and Flask/180 Personal Website - How The Output Will Look Like.mp43.51MB
  130. 21 Application 4_ Personal Website with Python and Flask/181 Your First Website.mp427.43MB
  131. 21 Application 4_ Personal Website with Python and Flask/182 HTML Templates.mp416.71MB
  132. 21 Application 4_ Personal Website with Python and Flask/183 Navigation Menu.mp471.89MB
  133. 21 Application 4_ Personal Website with Python and Flask/185 CSS Styling.mp455.45MB
  134. 21 Application 4_ Personal Website with Python and Flask/186 Creating a Python Virtual Environment.mp439.5MB
  135. 21 Application 4_ Personal Website with Python and Flask/188 Deploying the Website to a Live Server.mp4147.45MB
  136. 21 Application 4_ Personal Website with Python and Flask/189 Maintaining the Live Website.mp469.5MB
  137. 22 Graphical User Interfaces (GUI) with Tkinter/192 Introduction to Tkinter.mp48.29MB
  138. 22 Graphical User Interfaces (GUI) with Tkinter/193 Setting up a GUI with Widgets.mp430.7MB
  139. 22 Graphical User Interfaces (GUI) with Tkinter/194 Connecting GUI Widgets with Callback Functions.mp439.44MB
  140. 23 Interacting with Databases/197 Introduction to _Python with Databases_.mp49.13MB
  141. 23 Interacting with Databases/198 Connecting and Inserting Data to SQLite via Python.mp453.81MB
  142. 23 Interacting with Databases/199 Selecting, Inserting, Deleting, and Updating SQLite Records.mp434.08MB
  143. 23 Interacting with Databases/200 Introduction to PostgreSQL Psycopg2.mp4105.16MB
  144. 23 Interacting with Databases/201 Selecting, Inserting, Deleting, and Updating PostgreSQL Records.mp478.6MB
  145. 24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/203 Desktop Database App - How The Output Will Look Like.mp48.8MB
  146. 24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/204 User Interface Design.mp416.52MB
  147. 24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/205 Frontend Interface.mp480.34MB
  148. 24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/206 Backend.mp4111.7MB
  149. 24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/207 Connecting the Frontend to the Backend, Part 1.mp483.65MB
  150. 24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/208 Connecting the Frontend to the Backend, Part 2.mp4110.97MB
  151. 24 Application 5_ Book Store GUI App with Tkinter and SQLite Database/211 Creating a Standalone Executable Version of the Program.mp423.29MB
  152. 25 Object-Oriented Programming (OOP)/212 Object Oriented Programming Explained.mp422.76MB
  153. 25 Object-Oriented Programming (OOP)/213 Turning this Application into OOP Style, Part 1.mp466.54MB
  154. 25 Object-Oriented Programming (OOP)/214 Turning this Application into OOP Style, Part 2.mp477.36MB
  155. 25 Object-Oriented Programming (OOP)/215 Creating a Bank Account Object.mp485.99MB
  156. 25 Object-Oriented Programming (OOP)/216 Inheritance.mp450.64MB
  157. 25 Object-Oriented Programming (OOP)/217 OOP Glossary.mp437.42MB
  158. 26 Application 6_ Feel-Good Mobile App with Kivy/220 Mobile App - How the Output Will Look Like.mp433.93MB
  159. 26 Application 6_ Feel-Good Mobile App with Kivy/222 Creating a _Login Page_ (Frontend).mp474.52MB
  160. 26 Application 6_ Feel-Good Mobile App with Kivy/223 Creating a _Sign Up Page_ (Frontend) for New Users.mp447.21MB
  161. 26 Application 6_ Feel-Good Mobile App with Kivy/224 Getting User Input.mp430.17MB
  162. 26 Application 6_ Feel-Good Mobile App with Kivy/225 Implementing the _Sign Up Page_ (Backend).mp461.11MB
  163. 26 Application 6_ Feel-Good Mobile App with Kivy/226 Creating a _Sign Up Success Page_ (Frontend).mp424.92MB
  164. 26 Application 6_ Feel-Good Mobile App with Kivy/227 Switching Pages.mp416.31MB
  165. 26 Application 6_ Feel-Good Mobile App with Kivy/228 Implementing the _Login Page_ (Backend).mp4296.78MB
  166. 26 Application 6_ Feel-Good Mobile App with Kivy/229 Displaying Text to the User.mp4104.15MB
  167. 26 Application 6_ Feel-Good Mobile App with Kivy/230 Styiling the Login Page.mp479.33MB
  168. 26 Application 6_ Feel-Good Mobile App with Kivy/231 Styling the Sign Up Page.mp46.57MB
  169. 26 Application 6_ Feel-Good Mobile App with Kivy/232 Making a Dynamic Hover Button.mp461.81MB
  170. 26 Application 6_ Feel-Good Mobile App with Kivy/233 Making a Scrollable Area.mp444.37MB
  171. 27 Making an Android APK File from the Kivy App/235 Preparing the Environment for Deploying the App to and Android Phone.mp4110.29MB
  172. 27 Making an Android APK File from the Kivy App/236 Creating an APK file for Android.mp4153.8MB
  173. 27 Making an Android APK File from the Kivy App/237 Installing the APK file on Android.mp465.01MB
  174. 28 Python for Image and Video Processing with OpenCV/239 Introduction.mp45.83MB
  175. 28 Python for Image and Video Processing with OpenCV/241 Loading, Displaying, Resizing, and Writing Images.mp4123.91MB
  176. 28 Python for Image and Video Processing with OpenCV/244 Solution with Explanations.mp417.46MB
  177. 28 Python for Image and Video Processing with OpenCV/245 Face Detection.mp4179.91MB
  178. 28 Python for Image and Video Processing with OpenCV/246 Capturing Video.mp4130.7MB
  179. 29 Application 7_ Build a Webcam Motion Detector with OpenCV/247 Webcam Motion Detector - How The Output Will Look Like.mp48.62MB
  180. 29 Application 7_ Build a Webcam Motion Detector with OpenCV/248 Detecting Webcam Objects.mp4175.06MB
  181. 29 Application 7_ Build a Webcam Motion Detector with OpenCV/249 Capturing Motion Time.mp4225.98MB
  182. 30 Interactive Data Visualization with Bokeh/250 Introduction to Bokeh.mp48.79MB
  183. 30 Interactive Data Visualization with Bokeh/252 Your First Bokeh Plot.mp440.79MB
  184. 30 Interactive Data Visualization with Bokeh/255 Using Bokeh with Pandas.mp420.64MB
  185. 30 Interactive Data Visualization with Bokeh/263 Time-series Plots.mp475.77MB
  186. 30 Interactive Data Visualization with Bokeh/264 More Visualization Examples with Bokeh.mp442.16MB
  187. 30 Interactive Data Visualization with Bokeh/265 Plotting Time Intervals of the Motion Detector.mp468.08MB
  188. 30 Interactive Data Visualization with Bokeh/266 Hover Tool Implementation.mp457.01MB
  189. 31 Web Scraping with Python & Beautiful Soup/267 Section Introduction.mp44.11MB
  190. 31 Web Scraping with Python & Beautiful Soup/268 The Concept Behind Webscraping.mp419.15MB
  191. 31 Web Scraping with Python & Beautiful Soup/270 Webscraping Example.mp4187.74MB
  192. 32 Application 8_ Web Scraper of Real Estates/271 Scraped Website Data - How The Output Will Look Like.mp435.4MB
  193. 32 Application 8_ Web Scraper of Real Estates/273 Loading the Webpage in Python.mp4139.36MB
  194. 32 Application 8_ Web Scraper of Real Estates/274 Extracting _div_ Tags.mp4171.63MB
  195. 32 Application 8_ Web Scraper of Real Estates/275 Extracting Addresses and Property Details.mp4249.87MB
  196. 32 Application 8_ Web Scraper of Real Estates/276 Extracting Elements without Unique Identifiers.mp4185.17MB
  197. 32 Application 8_ Web Scraper of Real Estates/277 Saving the Extracted Data in CSV Files.mp4120.8MB
  198. 32 Application 8_ Web Scraper of Real Estates/278 Crawling Through Webpages.mp4349.28MB
  199. 33 Application 9_ Database Web App with Flask and PostGreSQL/279 Data Collector Web App - How The Output Will Look Like.mp415.75MB
  200. 33 Application 9_ Database Web App with Flask and PostGreSQL/280 PostGreSQL Database Web App with Flask_ Steps.mp416.28MB
  201. 33 Application 9_ Database Web App with Flask and PostGreSQL/281 Frontend_ HTML Part.mp488.68MB
  202. 33 Application 9_ Database Web App with Flask and PostGreSQL/282 Frontend_ CSS Part.mp452.63MB
  203. 33 Application 9_ Database Web App with Flask and PostGreSQL/283 Backend_ Getting User Input.mp4135.59MB
  204. 33 Application 9_ Database Web App with Flask and PostGreSQL/284 Backend_ The PostGreSQL Database Model.mp4213.53MB
  205. 33 Application 9_ Database Web App with Flask and PostGreSQL/285 Backend_ Storing User Data to the Database.mp4181.01MB
  206. 33 Application 9_ Database Web App with Flask and PostGreSQL/286 Backend_ Emailing Database Values Back to the User.mp4134.81MB
  207. 33 Application 9_ Database Web App with Flask and PostGreSQL/287 Backend_ Sending Statistics to Users.mp4126.78MB
  208. 33 Application 9_ Database Web App with Flask and PostGreSQL/288 Deploying the Web Application to a Live Server.mp4373.77MB
  209. 33 Application 9_ Database Web App with Flask and PostGreSQL/289 Bonus Lecture_ Implementing Download and Upload in your Web App.mp4232.75MB
  210. 34 Application 10_ (Project) Geocoder Web App with Flask and Pandas/290 Student Project - How The Output Should Look Like.mp446.95MB
  211. 34 Application 10_ (Project) Geocoder Web App with Flask and Pandas/291 Solution, Part 1.mp4107.31MB
  212. 34 Application 10_ (Project) Geocoder Web App with Flask and Pandas/292 Solution, Part 2.mp471.51MB
  213. 35 Bonus App_ Build a Website Blocker/294 Website Blocker - How The Output Will Look Like.mp412.26MB
  214. 35 Bonus App_ Build a Website Blocker/295 Application Architecture.mp422.63MB
  215. 35 Bonus App_ Build a Website Blocker/296 Setting up the Script.mp483.2MB
  216. 35 Bonus App_ Build a Website Blocker/297 Setting up the Infinite Loop.mp448.59MB
  217. 35 Bonus App_ Build a Website Blocker/298 Implementing the First Part.mp482.34MB
  218. 35 Bonus App_ Build a Website Blocker/299 Implementing the Second Part.mp4277.89MB
  219. 35 Bonus App_ Build a Website Blocker/300 Scheduling the Python Program on Windows.mp4153.45MB
  220. 35 Bonus App_ Build a Website Blocker/301 Scheduling the Python Program on Mac and Linux.mp438.89MB
  221. 36 Bonus App_ Data Visualization Dashboard with Bokeh/303 Web-based Financial Graph - How The Output Will Look Like.mp46.43MB
  222. 36 Bonus App_ Data Visualization Dashboard with Bokeh/304 Downloading Datasets with Python.mp4128.56MB
  223. 36 Bonus App_ Data Visualization Dashboard with Bokeh/305 Stock Market Data.mp418.04MB
  224. 36 Bonus App_ Data Visualization Dashboard with Bokeh/306 Stock Market Data Candlestick Charts.mp457.15MB
  225. 36 Bonus App_ Data Visualization Dashboard with Bokeh/307 Candlestick Charts with Bokeh Quadrants.mp487.26MB
  226. 36 Bonus App_ Data Visualization Dashboard with Bokeh/308 Candlestick Charts with Bokeh Rectangles.mp4324.94MB
  227. 36 Bonus App_ Data Visualization Dashboard with Bokeh/309 Candlestick Segments.mp461.4MB
  228. 36 Bonus App_ Data Visualization Dashboard with Bokeh/310 Stylizing the Chart.mp487.87MB
  229. 36 Bonus App_ Data Visualization Dashboard with Bokeh/311 The Concept Behind Embedding Bokeh Charts in a Flask Webpage.mp4156.9MB
  230. 36 Bonus App_ Data Visualization Dashboard with Bokeh/313 Embedding the Bokeh Chart in a Webpage.mp4213.7MB
  231. 36 Bonus App_ Data Visualization Dashboard with Bokeh/314 Deploying the Chart Website to a Live Server.mp4136.62MB
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