Data Processing Fundamentals: Extended Filtering with multiple datasets (Part 2/4)

Knowing python programming with its application into data processing is one of the most demanding aspect of Python programming language and this video is here to assist you.

- Part 0: Course Introduction (https://www.youtube.com/watch?v=0aw2aFxDmxM)
- Part 1: Data Loading, Reading, and value based Filtering (https://youtu.be/660nOAR2vOM)
- Part 2: Data Filtering by Type with Inline coding (https://youtu.be/uJES3DLg5ss)
- Part 3 (a/b): Writing Smart Python code through classes
- Part 3a - https://youtu.be/7A6VZYuIKAU
- Part 3b - https://youtu.be/4heu1splH64
- Part 4 (a/b): Adding Dynamic GUI to Python Data Application
- Part 4a (https://youtu.be/pEO9c2HLGNE)
- Part 4b (https://youtu.be/2kqwIF14AV8)

Content covered in this video will be located in the following GitHub repo:
- https://github.com/prodramp/DeepWorks/tree/main/DeveloperProgram

▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬
- (00:00) Video Starts
- (00:30) What is covered?
- (02:00) Filter data by Category
- (07:55) Filter Result Validation
- (10:00) Handling Multiple Datasets
- (14:10) Filter by Object Support
- (17:40) Avoid Code Duplication
- (21:50) Adding Inline Code
- (26:46) GitHub Resources

Connect
------------------
- Prodramp LLC (@prodramp)
- Website - https://prodramp.com
- LinkedIn - https://www.linkedin.com/company/prod...
- GitHub- https://github.com/prodramp/
- AngelList - https://angel.co/company/prodramp
- Facebook - https://www.facebook.com/Prodramp

Content Creator: Avkash Chauhan (@avkashchauhan)
- https://www.linkedin.com/in/avkashcha...
- https://twitter.com/avkashchauhan

Tags:
#python #pandas #dataengineering #dataprocessing #deeplearning #seaborn

Видео Data Processing Fundamentals: Extended Filtering with multiple datasets (Part 2/4) канала 650 AI Lab