This document outlines the agenda for a MuleSoft meetup discussing Mule 4. The agenda includes introductions from members, a discussion on changes between DataWeave 1.0 and 2.0, a demo of converting JSON to Excel and notifying a team, integrating Mule with Slack, and exploring the Python scripting module in Mule. Demo topics will cover tested changes in DataWeave, transforming and sending vendor data to Excel, and using Python scripts in Mule applications.

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Products

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Program Agenda
Members Introduction
Agenda
Mule 4 Discussion

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Program Agenda
Members Introduction
Agenda
Mule 4 Discussion

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MuleSoft 4.0 Meet up
Introduction about Mule Developer
Name:
Company:
Experience with Mule: Mule 3 / Mule 4
Expectations:

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Program Agenda
Members Introduction
Agenda
Mule 4 Discussion

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Demo Agenda
 Tested Changes from Data Weave 1.0 to Data Weave 2.0
 Transforming Vendor json to Vendor Excel and notify the team with the excel attachment
 Integrating Mule with Slack
 Exploring Python scripting module in Mule

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Program Agenda
Members Introduction
Agenda
Mule 4 Discussion

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DEMO-Tested Changes from DataWeave 1.0 to DataWeave 2.0

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Tested Changes from DataWeave 1.0 to DataWeave 2.0
DataWeave1.0 DataWeave2.0
All directives in DataWeave 1.0 must start with %.
In DataWeave 2.0 it has changed except for %dw
declaration
when otherwise statement Replaced when otherwise statement with if else
Name Types are used to be declared as :object Changed all type names format
Custom functions are declared function
Custom functions are declared in the DataWeave header via
the keyword fun
function body and function signature are separate by
Space function body and function signature are separate by =
DataWeave 1.0 allowed automatic coercion of object
to array
automatic coercion of object to array has removed from
having unexpected output and data corruption

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DEMO- Converting Json to Excel and notifying the team

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Converting Json to Excel and notifying the team
Receive Vendor Json Transform Json to Excel
Mail Notification to the
team with Excel attachment

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DEMO-Integrating Mule with Slack

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DEMO-Exploring Python scripting module in Mule

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Exploring Python scripting module in Mule
 Python is widely used high-level, general purpose, interpreted dynamic programming
language.
 Code readability and fewer lines of code.
 Mature ML packages.
 One of the most widely used languages in Artificial Intelligence.

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For any questions please write us to mule@eaiesb.com we will get back to you soon