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Increasing Autodesk Revit Productivity for BIM Projects

You're reading from   Increasing Autodesk Revit Productivity for BIM Projects A practical guide to using Revit workflows to improve productivity and efficiency in BIM projects

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Product type Paperback
Published in Jun 2021
Publisher Packt
ISBN-13 9781800566804
Length 492 pages
Edition 1st Edition
Tools
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Authors (2):
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Fabio Roberti Fabio Roberti
Author Profile Icon Fabio Roberti
Fabio Roberti
Decio Ferreira Decio Ferreira
Author Profile Icon Decio Ferreira
Decio Ferreira
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Enhancing Your Productivity in Revit with Data Management and Templates
2. Chapter 1: Introduction to Productivity in Revit FREE CHAPTER 3. Chapter 2: Project Data Management 4. Chapter 3: Revit Template and Standards 5. Section 2: Setting Up Revit Projects Efficiently and Exploring Core Functionalities
6. Chapter 4: Starting a Revit Project Efficiently 7. Chapter 5: Core Revit Functionalities 8. Section 3: Adding Visualizations and Dashboards to Your Data
9. Chapter 6: Visual Programming with Dynamo 10. Chapter 7: Dashboard Analyses with Power BI 11. Section 4: Collaborating with Consultants and Plugins and Improving Revit Performance
12. Chapter 8: Collaborating with Consultants 13. Chapter 9: Enhancing Productivity with Plugins 14. Chapter 10: Improving Performance 15. Other Books You May Enjoy

Summary

In this chapter, we have learned what Dynamo is and how users can work with Dynamo to improve performance and productivity.

We learned that Python is one of the most common Programming languages, and it can be used in Dynamo together with the Revit API. This connection can enhance what can be altered in Revit.

We learned how to use Dynamo Player as a feature to run scripts on a project. We also looked into how to set up a folder that can be used across the organization to share the most common scripts that can be used in multiple projects.

We shared the best practices that should be used when developing Dynamo scripts (which can be extended to all the software that requires specific visual programming, such as Grasshopper).

In the next chapter, we will cover how we can get and manage the dashboard using Power BI or other software, such as Excel.

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