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种子名称： Udemy - The Python Mega Course Build 10 Real World Applications
文件类型： 视频
文件数目： 162个文件
文件大小： 3.08 GB
收录时间： 2019-3-5 04:28
已经下载： 3次
资源热度： 153
最近下载： 2024-11-17 05:16

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Udemy - The Python Mega Course Build 10 Real World Applications.torrent

01 Getting Started/003 Setting up Python on Windows.mp416.9MB

01 Getting Started/001 Course Introduction.mp415.57MB

01 Getting Started/007 Setting up Atom on Windows.mp412.99MB

01 Getting Started/005 Creating and Executing a Python Program on Windows.mp412.97MB

01 Getting Started/008 Setting up Atom on Mac.mp412.68MB

01 Getting Started/006 Creating and Executing a Python Program on Mac.mp411.87MB

01 Getting Started/004 Setting up Python on Mac.mp411.25MB

01 Getting Started/002 Three Typical Python Programs.mp410.28MB

02 Variables Datatypes and Functions/012 Numbers.mp413.52MB

02 Variables Datatypes and Functions/015 String Indexing and Splitting.mp411.63MB

02 Variables Datatypes and Functions/014 Strings.mp49.56MB

02 Variables Datatypes and Functions/018 Dictionaries.mp49.18MB

02 Variables Datatypes and Functions/016 Lists.mp48.33MB

02 Variables Datatypes and Functions/011 Variables.mp47.48MB

02 Variables Datatypes and Functions/013 Numbers and Operators.mp46.65MB

02 Variables Datatypes and Functions/017 Tuples.mp44.34MB

02 Variables Datatypes and Functions/010 Section Introduction.mp41.45MB

03 Dealing with Programming Errors/020 Runtime Errors.mp419.08MB

03 Dealing with Programming Errors/021 Fixing Difficult Errors.mp417.25MB

03 Dealing with Programming Errors/022 The Structure of a Good Programming Question.mp416.89MB

03 Dealing with Programming Errors/023 Exception Handling in Python.mp414.2MB

03 Dealing with Programming Errors/019 Syntax Errors.mp414.1MB

04 Conditionals/025 Functions - The basics.mp413.46MB

04 Conditionals/027 Functions - Advanced Features.mp412.31MB

04 Conditionals/035 Conditionals - Advanced.mp49MB

04 Conditionals/028 Functions and User Input.mp48.66MB

04 Conditionals/034 Conditionals.mp46.35MB

04 Conditionals/024 Section Introduction.mp42.15MB

05 Loops and User Input/048 User Input.mp49.44MB

05 Loops and User Input/043 The For Loop.mp48.85MB

05 Loops and User Input/049 The While Loop.mp46.18MB

05 Loops and User Input/042 Loops.mp43.45MB

05 Loops and User Input/050 For Loop with Multiple Lists.mp42.8MB

07 More Functionalities/071 Working with Dates and Times.mp432.47MB

07 More Functionalities/069 Modules Libraries and Packages.mp427.88MB

07 More Functionalities/070 Commenting and Documenting your Code.mp413.83MB

07 More Functionalities/068 Introduction.mp41.42MB

08 Application 1 Building an Interactive Dictionary/077 Loading the JSON Data into a Python Dictionary.mp423.69MB

08 Application 1 Building an Interactive Dictionary/084 Prompting the User to Confirm Similarity Check.mp420.19MB

08 Application 1 Building an Interactive Dictionary/082 Finding the Best Match of a Word out of a List of Words.mp419.58MB

08 Application 1 Building an Interactive Dictionary/083 Making the Program Suggest a Similar Word.mp418.65MB

08 Application 1 Building an Interactive Dictionary/085 Optimizing the Final Output.mp415.34MB

08 Application 1 Building an Interactive Dictionary/081 Calculating Similarity Ratio Between Two Words.mp412.23MB

08 Application 1 Building an Interactive Dictionary/076 The Data Source.mp411.71MB

08 Application 1 Building an Interactive Dictionary/075 Demonstration of the Interactive Dictionary.mp47.62MB

08 Application 1 Building an Interactive Dictionary/078 Returning the Definition for a Word.mp47.44MB

08 Application 1 Building an Interactive Dictionary/080 Making the Program Letter Case Insensitive.mp46.53MB

08 Application 1 Building an Interactive Dictionary/079 Counting for Non-existing Words.mp46.44MB

09 Data Analysis with Pandas/099 Example Geocoding Addresses with Pandas and Geopy.mp443.37MB

09 Data Analysis with Pandas/095 Loading Data in Python from CSV Excel TXT and JSON Files.mp434.89MB

09 Data Analysis with Pandas/093 Getting Started with Jupyter Notebooks.mp426.75MB

09 Data Analysis with Pandas/096 Indexing and Slicing Dataframes.mp421.73MB

09 Data Analysis with Pandas/098 Updating and Adding new Columns and Rows.mp417.32MB

09 Data Analysis with Pandas/090 What is Pandas.mp416.87MB

09 Data Analysis with Pandas/092 Getting Started with Pandas.mp415.9MB

09 Data Analysis with Pandas/097 Dropping Dataframe Columns and Rows.mp45.74MB

10 Numpy/100 What is Numpy.mp414.16MB

10 Numpy/104 Stacking and Splitting.mp411.92MB

10 Numpy/102 Images to Numpy and Vice-versa.mp411.75MB

10 Numpy/103 Indexing Slicing and Iterating.mp48.03MB

11 Application 2 Creating Webmaps with Python and Folium/109 Adding Markers from Data Files.mp437.37MB

11 Application 2 Creating Webmaps with Python and Folium/106 Creating the Open Street Map (OSM) Basemap.mp434.64MB

11 Application 2 Creating Webmaps with Python and Folium/115 Using GeoJson Data.mp428.33MB

11 Application 2 Creating Webmaps with Python and Folium/117 Color-Based Polygon Features.mp427.72MB

11 Application 2 Creating Webmaps with Python and Folium/107 Adding a Point Marker Feature to the Map.mp420.52MB

11 Application 2 Creating Webmaps with Python and Folium/111 Color-Based Point Markers.mp420.45MB

11 Application 2 Creating Webmaps with Python and Folium/118 Adding a Layer Control Panel.mp417.27MB

11 Application 2 Creating Webmaps with Python and Folium/116 Adding a GeoJson Polygon Layer.mp413.44MB

11 Application 2 Creating Webmaps with Python and Folium/110 Creating Popup Windows for Map Features.mp412.47MB

11 Application 2 Creating Webmaps with Python and Folium/108 Adding Multiple Markers to the Map.mp49.57MB

11 Application 2 Creating Webmaps with Python and Folium/114 Solution Adding and Styling Circle Markers.mp44.29MB

11 Application 2 Creating Webmaps with Python and Folium/105 Demonstration of the Web Mapping Application.mp43.83MB

12 Application 3 Building a Website Blocker/124 Implementing the Second Part.mp445.23MB

12 Application 3 Building a Website Blocker/125 Scheduling the Python Program on Windows.mp430.22MB

12 Application 3 Building a Website Blocker/123 Implementing the First Part.mp426.33MB

12 Application 3 Building a Website Blocker/122 Setting up the Infinite Loop.mp419.72MB

12 Application 3 Building a Website Blocker/121 Setting up the Script.mp418.16MB

12 Application 3 Building a Website Blocker/126 Scheduling the Python Program on Mac and Linux.mp414.27MB

12 Application 3 Building a Website Blocker/120 Application Architecture.mp47.95MB

12 Application 3 Building a Website Blocker/119 Demonstration of the Website Blocker Application.mp46.84MB

13 Application 4 Building a Website with Python and Flask/135 Deploying the Website to a Live Server.mp456.77MB

13 Application 4 Building a Website with Python and Flask/130 Adding a Navigation Menu.mp417.34MB

13 Application 4 Building a Website with Python and Flask/128 Building your First Website.mp415.76MB

13 Application 4 Building a Website with Python and Flask/136 Maintaining the Website.mp415.58MB

13 Application 4 Building a Website with Python and Flask/133 Creating a Python Virtual Environment.mp413.2MB

13 Application 4 Building a Website with Python and Flask/132 Adding CSS Styling.mp412.7MB

13 Application 4 Building a Website with Python and Flask/129 Returning HTML Templates.mp48.05MB

13 Application 4 Building a Website with Python and Flask/127 Demonstration of the Website.mp42.71MB

14 Building Graphical User Interfaces with Tkinter/139 Connecting GUI Widgets with Callback Functions.mp416.99MB

14 Building Graphical User Interfaces with Tkinter/138 Setting up a GUI with Widgets.mp416.22MB

14 Building Graphical User Interfaces with Tkinter/137 Introduction to Tkinter.mp44.46MB

15 Python for Interacting with SQLite and PostgreSQL Databases/146 Selecting Inserting Deleting and Updating PostgreSQL Records.mp427.67MB

15 Python for Interacting with SQLite and PostgreSQL Databases/143 Connecting and Inserting Data to SQLite via Python.mp423.93MB

15 Python for Interacting with SQLite and PostgreSQL Databases/145 Introduction to PostgreSQL Psycopg2.mp420.35MB

15 Python for Interacting with SQLite and PostgreSQL Databases/144 Selecting Inserting Deleting and Updating SQLite Records.mp413.51MB

15 Python for Interacting with SQLite and PostgreSQL Databases/142 Introduction to Working with Databases.mp44.99MB

16 Application 5 Building a Desktop Database Application/152 Connecting the Front-end to the Back-end Part 2.mp449.08MB

16 Application 5 Building a Desktop Database Application/150 Building the Back-end.mp446.69MB

16 Application 5 Building a Desktop Database Application/151 Connecting the Front-end to the Back-end Part 1.mp437.34MB

16 Application 5 Building a Desktop Database Application/149 Building the Front-end Interface.mp426.18MB

16 Application 5 Building a Desktop Database Application/155 Creating a Standalone Executable Version of the Program.mp410.81MB

16 Application 5 Building a Desktop Database Application/148 User Interface Design.mp49.75MB

16 Application 5 Building a Desktop Database Application/147 Demonstration of the Database Application.mp44.32MB

17 Object Oriented Programming/159 Creating a Bank Account Object.mp439.2MB

17 Object Oriented Programming/158 Turning this Application into OOP Style Part 2.mp434.25MB

17 Object Oriented Programming/157 Turning this Application into OOP Style Part 1.mp430.69MB

17 Object Oriented Programming/160 Inheritance.mp422.46MB

17 Object Oriented Programming/161 OOP Glossary.mp416.35MB

17 Object Oriented Programming/156 Object Oriented Programming Explained.mp49.8MB

18 Python for Image and Video Processing with OpenCV/170 Face Detection.mp440.59MB

18 Python for Image and Video Processing with OpenCV/171 Capturing Video.mp436.14MB

18 Python for Image and Video Processing with OpenCV/166 Loading Displaying Resizing and Writing Images with Python.mp430.95MB

18 Python for Image and Video Processing with OpenCV/169 Solution with Explanations Batch Image Resizing.mp48.15MB

18 Python for Image and Video Processing with OpenCV/164 Introduction.mp44.04MB

19 Application 6 Building a Webcam Motion Detector/173 Detecting Objects from the Webcam.mp463.79MB

19 Application 6 Building a Webcam Motion Detector/174 Recording Motion Time.mp449.44MB

19 Application 6 Building a Webcam Motion Detector/172 Demonstration of the Motion Detector Application.mp45.53MB

20 Python for Interactive Data Visualization on the Browser/186 Plotting Time Intervals of the Motion Detector.mp428.73MB

20 Python for Interactive Data Visualization on the Browser/187 Hover Tool Implementation.mp420.36MB

20 Python for Interactive Data Visualization on the Browser/177 The Bokeh Charts Interface.mp418.86MB

20 Python for Interactive Data Visualization on the Browser/184 Time-series Plots.mp415.42MB

20 Python for Interactive Data Visualization on the Browser/178 The Bokeh Plotting Interface.mp414.67MB

20 Python for Interactive Data Visualization on the Browser/183 Understanding the Structure behind the Graphs.mp414.27MB

20 Python for Interactive Data Visualization on the Browser/179 Customizing Plot Styles.mp413.26MB

20 Python for Interactive Data Visualization on the Browser/185 More Visualization Examples with Bokeh.mp411.9MB

20 Python for Interactive Data Visualization on the Browser/175 Introduction to Bokeh.mp43.89MB

21 Webscraping/190 Scraping a webpage with Requests and Beautiful Soup.mp437.37MB

21 Webscraping/189 The Concept Behind Webscraping.mp410.17MB

21 Webscraping/188 Section Introduction.mp43.19MB

22 Application 7 Scraping Real Estate Property Data from the Web/197 Crawling Through Webpages.mp458.79MB

22 Application 7 Scraping Real Estate Property Data from the Web/194 Extracting Addresses and Property Details.mp437.06MB

22 Application 7 Scraping Real Estate Property Data from the Web/195 Extracting Elements with no Unique Identifiers.mp432.16MB

22 Application 7 Scraping Real Estate Property Data from the Web/193 Extracting Divisions of All Properties.mp431.34MB

22 Application 7 Scraping Real Estate Property Data from the Web/192 Understanding the Problem and Loading the Webpage in Python.mp422.16MB

22 Application 7 Scraping Real Estate Property Data from the Web/196 Saving the Extracted Data in CSV Files.mp421.97MB

22 Application 7 Scraping Real Estate Property Data from the Web/191 Demonstration of the Webscraping Application.mp46.94MB

23 Application 8 Building a Web-based Financial Graph/203 Building Chart Candlesticks with Bokeh Rectangles.mp451.06MB

23 Application 8 Building a Web-based Financial Graph/206 The Concept Behind Embedding Bokeh Charts in a Flask Webpage.mp438.02MB

23 Application 8 Building a Web-based Financial Graph/207 Embedding the Bokeh Chart in a Webpage.mp436.76MB

23 Application 8 Building a Web-based Financial Graph/199 Downloading Various Datasets with Python.mp431.69MB

23 Application 8 Building a Web-based Financial Graph/208 Deploying the Chart Website to a Live Server.mp425.3MB

23 Application 8 Building a Web-based Financial Graph/202 Building Chart Candlesticks with Bokeh Quadrants.mp422.26MB

23 Application 8 Building a Web-based Financial Graph/205 Stylizing the Chart.mp416.49MB

23 Application 8 Building a Web-based Financial Graph/204 Building Candlestick Segments.mp414.24MB

23 Application 8 Building a Web-based Financial Graph/201 Understanding Stock Market Data Candlestick Charts.mp411.51MB

23 Application 8 Building a Web-based Financial Graph/200 Understanding Stock Market Data.mp46.87MB

23 Application 8 Building a Web-based Financial Graph/198 Demonstration of the Financial Analysis Application.mp43.45MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/218 Deploying the Web Application to a Live Server.mp474.96MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/219 Bonus Lecture User Downloads and Uploads.mp455.29MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/215 Building the Back End Storing User Data to the Database.mp450.03MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/214 Building the Back End Creating the PostGreSQL Database Model.mp440.79MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/217 Building the Back End Sending Statistics to Users.mp440.17MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/213 Building the Back End Getting User Input.mp434.03MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/211 Building the Front End HTML Part.mp426.76MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/216 Building the Back End Emailing Database Values Back to the User.mp425.93MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/212 Building the Front End CSS Part.mp420.89MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/210 Steps for Building a PostGreSQL Database-enabled Web App with Flask.mp410.19MB

24 Application 9 Building a Data Collector Web App with PostGreSQL and Flask/209 Demonstration of the Web Application.mp45.87MB

25 Application 10 Student Project on Building a Geocoder Web Service/221 Solution Part 1.mp435.33MB

25 Application 10 Student Project on Building a Geocoder Web Service/220 Demonstration of the Geocoding Web Service Application and Project Requirements.mp414.36MB

25 Application 10 Student Project on Building a Geocoder Web Service/222 Solution Part 2.mp413.85MB

25 Application 10 Student Project on Building a Geocoder Web Service/223 End of the Course.mp45.08MB