Udemy - Advanced Python for IoT & IoT Based Data Analysis
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size2.9 GB
- Uploaded ByFclab
- Downloads94
- Last checkedOct. 16th '18
- Date uploadedOct. 16th '18
- Seeders 1
- Leechers3
Infohash : BEBD2EB70A58476390A8B8FE1704603919B4E02A
Udemy - Advanced Python for IoT & IoT Based Data Analysis
IoT is bringing more and more things into the digital fold every day, which will likely make it a multi-trillion dollar industry in the near future. Building your own project on IoT will help you practically learn how engineering is applied on this amazing technology.
Files:
[FreeCourseLab.com] Udemy - Advanced Python for IoT & IoT Based Data Analysis 1. Introduction- 1. Introduction to Packages and Modules.mp4 (17.6 MB)
- 1. Introduction to Packages and Modules.vtt (5.2 KB)
- 1. Creating Numpy Arrays.mp4 (90.5 MB)
- 1. Creating Numpy Arrays.vtt (12.4 KB)
- 10. Matrix Multiplication.mp4 (68.7 MB)
- 10. Matrix Multiplication.vtt (9.1 KB)
- 11. Comparison Operations.mp4 (53.6 MB)
- 11. Comparison Operations.vtt (7.0 KB)
- 2. Different Dimensional Array in Numpy.mp4 (92.1 MB)
- 2. Different Dimensional Array in Numpy.vtt (11.5 KB)
- 3. Shape of an Array.mp4 (58.8 MB)
- 3. Shape of an Array.vtt (8.6 KB)
- 4. Slicing.mp4 (79.5 MB)
- 4. Slicing.vtt (12.8 KB)
- 5. Slicing Continue.mp4 (34.7 MB)
- 5. Slicing Continue.vtt (5.2 KB)
- 6. Arrays of Ones and Zeros.mp4 (68.9 MB)
- 6. Arrays of Ones and Zeros.vtt (9.6 KB)
- 7. Numpy Example.mp4 (58.7 MB)
- 7. Numpy Example.vtt (8.1 KB)
- 8. Numpy Example Continue.mp4 (49.8 MB)
- 8. Numpy Example Continue.vtt (6.5 KB)
- 9. Using Scalers with Numpy Arrays.mp4 (73.8 MB)
- 9. Using Scalers with Numpy Arrays.vtt (8.7 KB)
- 1. Concept of Anaconda Distribution.mp4 (32.8 MB)
- 1. Concept of Anaconda Distribution.vtt (4.2 KB)
- 2. Installation of PyCharm.mp4 (68.1 MB)
- 2. Installation of PyCharm.vtt (10.6 KB)
- 1. Executing Programs in PyCharm.mp4 (31.3 MB)
- 1. Executing Programs in PyCharm.vtt (5.9 KB)
- 2. Methods of the List.mp4 (72.9 MB)
- 2. Methods of the List.vtt (12.5 KB)
- 3. Learning the Bolt Structure.mp4 (80.5 MB)
- 3. Learning the Bolt Structure.vtt (12.5 KB)
- 1. Networking Aspect of Client Server.mp4 (41.8 MB)
- 1. Networking Aspect of Client Server.vtt (8.5 KB)
- 2. Mesaage Communication of Client and Server.mp4 (63.6 MB)
- 2. Mesaage Communication of Client and Server.vtt (8.5 KB)
- 3. Server IP from Client to Server.mp4 (58.6 MB)
- 3. Server IP from Client to Server.vtt (7.9 KB)
- 1. Programming Aspect of Networking.mp4 (36.3 MB)
- 1. Programming Aspect of Networking.vtt (8.3 KB)
- 2. Writing the Client and Server Code.mp4 (86.1 MB)
- 2. Writing the Client and Server Code.vtt (13.8 KB)
- 3. Socket Programming for Server.mp4 (42.4 MB)
- 3. Socket Programming for Server.vtt (6.1 KB)
- 4. Python Package for Multithreading.mp4 (63.4 MB)
- 4. Python Package for Multithreading.vtt (8.4 KB)
- 1. Working with Chat Bot.mp4 (61.1 MB)
- 1. Working with Chat Bot.vtt (8.3 KB)
- 2. Sending and Receiving Data.mp4 (55.6 MB)
- 2. Sending and Receiving Data.vtt (6.0 KB)
- 3. Working on Chat Bot Server.mp4 (27.0 MB)
- 3. Working on Chat Bot Server.vtt (3.6 KB)
- 4. Creating and Importing Client Socket.mp4 (74.9 MB)
- 4. Creating and Importing Client Socket.vtt (10.8 KB)
- 5. Creating Message for Client.mp4 (72.0 MB)
- 5. Creating Message for Client.vtt (8.7 KB)
- 6. Learning to Create a Chat App.mp4 (12.4 MB)
- 6. Learning to Create a Chat App.vtt (1.7 KB)
- 1. Pycharm Databases and Sqlite.mp4 (61.7 MB)
- 1. Pycharm Databases and Sqlite.vtt (8.6 KB)
- 2. Commands for Creating a Table.mp4 (100.4 MB)
- 2. Commands for Creating a Table.vtt (10.8 KB)
- 3. Inserting Values in Table.mp4 (66.2 MB)
- 3. Inserting Values in Table.vtt (7.1 KB)
- 4. Connecting Between Database and Python Code.mp4 (76.8 MB)
- 4. Connecting Between Database and Python Code.vtt (10.2 KB)
- 5. Query from Database.mp4 (92.3 MB)
- 5. Query from Database.vtt (8.5 KB)
- 6. Making changes in Chat App.mp4 (73.1 MB)
- 6. Making changes in Chat App.vtt (7.6 KB)
- 7. Decoding the Client info.mp4 (46.8 MB)
- 7. Decoding the Client info.vtt (5.5 KB)
- 1. Indexing the Client Element.mp4 (106.1 MB)
- 1. Indexing the Client Element.vtt (11.9 KB)
- 2. Connection from Client at Address.mp4 (84.9 MB)
- 2. Connection from Client at Address.vtt (9.1 KB)
- 3. Adding Email and Client Name.mp4 (111.3 MB)
- 3. Adding Email and Client Name.vtt (11.0 KB)
- 4. Analyzing the Data Sets.mp4 (69.2 MB)
- 4. Analyzing the Data Sets.vtt (10.0 KB)
- 5. Coding for Converting Tempratures.mp4 (35.1 MB)
- 5. Coding for Converting Tempratures.vtt (5.8 KB)
- 6. Converting Temperature using List comprehension.mp4 (84.9 MB)
- 6. Converting Temperature using List comprehension.vtt (9.1 KB)
- 1. Introduction to Numpy.mp4 (62.1 MB)
- 1. Introduction to Numpy.vtt (9.1 KB)
- 2. Size of List.mp4 (53.5 MB)
- 2. Size of List.vtt (7.0 KB)
- 3. Memory Consumed By Ndarray.mp4 (63.3 MB)
- 3. Memory Consumed By Ndarray.vtt (7.8 KB)
- 4. Python List and Numpy Arrays.mp4 (50.1 MB)
- 4. Python List and Numpy Arrays.vtt (6.2 KB)
- [FreeCourseLab.com].url (0.1 KB)
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