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1. Introducing Data Types
- Explanation of data types in the context of Python and C sharp
- Understanding data types as text or number format
- Relevance of data types in controlling element attributes
- Creating parameters and relating data types to different parameters (e.g., text, integer, angle, area, etc.)
- Differentiating data types such as text, number, image or element, and yes or no (boolean)
- Emphasizing the unique nature of these four data types
- Offering clear understanding despite potential confusion
2. Parameter Manipulation
- Making changes to parameter values and encountering issues with changing comments value
- Explanation of using set parameter and get parameter
- Discussing the logic behind utilizing set parameter and get parameter
- Emphasizing attentiveness to warnings in the software
- Examples of errors related to parameter storage type, specifically involving numbers and text
- Discussing the behavior of integer, double, and string data types when inputting different values
- The concept of integers and doubles, including their characteristics and behavior
- Identifying parameters such as size, width, height, length, and comments as double, integer, and text types
- Experimentation and discussion about changing width parameters, engaging the audience's participation in the demonstration
- Mention of errors related to parameter storage step and data types, with plans to address them the following day
- Introducing strategies for searching nodes and nodes picking
3. Software Demonstration and Training
- Demonstrating how to select and play with single and multiple elements in the program
- Accessing hidden data through the program's API
- Retrieving specific information such as element ID, name, category, and geometry using commands
- Introduction to using Dynamo workspace and picking nodes for manipulation (with detailed explanation deferred to a later session)
- The importance of patience and understanding in finding and selecting nodes in the library within the Dynamo workspace
- Mention of a training program and demonstration, encouraging attendees to join and offering course details and payment information
- Outlining the comprehensive coverage of the training and the included digital certification
- Encouraging attendees to install the latest Revit versions and explaining the course content and approach
- Assuring access to resources and addressing any queries
- Promoting an active and participative approach during the training
- Discussion of the 60-hour extended training with plans to increase the cost in the next financial year
- Reiteration of the value of the automation training for understanding the concept
- Discussion of different elements and their properties in the context of software or programming language
4. Interaction with AI Technology
- Introduction of ChatGPT as a versatile AI system capable of assuming different roles
- Description of the unique capabilities and information storage of ChatGPT
- Explanation of the use of different tones and writing styles in prompts to extract specific information from ChatGPT
- Specific examples of questioning ChatGPT as a BIM consultant and asking for the best strategy to apply in a certain situation
- Demonstration of asking specific questions related to creating logic for extracting specific data elements in a Revit model
- Introducing ChatGPT as a lifetime assistant and the use of logic prompts for coding
- Emphasizing the use of the ChatGPT for detailed logic in coding and the importance of understanding and using it
5. Conclusion and Future Learning
- Demonstration of how to identify data types without opening Dynamo or using get parameter
- Discussion about playing with indices, strings, primitive data types, and storage types
- Hinting at techniques and solutions to be revealed in the next day’s session
- Providing insights regarding the additional flow parameter and the understanding of its value by Revit
- Mention of revealing techniques and solutions and urging attendees not to miss the next day’s session
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