Thank you @Chris Stewart for the detailed explanation! The video was very informative and clear. I appreciate how well it covered the key points.

Congratulations to all, and thanks to the community for this recognition and all the support. 
 

Congratulations @Mihoko Iijima 

Thanks @Laura Blázquez García for the nice article!
 

Hi @Guillaume Rongier 
I am getting the following error while calling iop on Windows
D:\temp\iop>iop -start
WARNING:root:Error importing pythonint312: irisinit failed
WARNING:root:Embedded Python not available
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "D:\temp\iop\.venv\Scripts\iop.exe\__main__.py", line 4, in <module>
  File "d:\temp\iop\.venv\Lib\site-packages\iop\__init__.py", line 1, in <module>
    from iop._business_operation import _BusinessOperation
  File "d:\temp\iop\.venv\Lib\site-packages\iop\_business_operation.py", line 3, in <module>
    from iop._business_host import _BusinessHost
  File "d:\temp\iop\.venv\Lib\site-packages\iop\_business_host.py", line 8, in <module>
    from iop._decorators import input_serializer_param, output_deserializer
  File "d:\temp\iop\.venv\Lib\site-packages\iop\_decorators.py", line 3, in <module>
    from iop._dispatch import dispatch_deserializer, dispatch_serializer
  File "d:\temp\iop\.venv\Lib\site-packages\iop\_dispatch.py", line 15, in <module>
    def serialize_pickle_message(message: Any) -> iris.cls:
                                                  ^^^^^^^^
AttributeError: module 'iris' has no attribute 'cls'

Congratulations to all the winners and participants. Your articles were truly inspiring and showcased exceptional creativity and insight.

Great app. Excellent work!

Thanks @Evgeny Shvarov for sharing the Technological Bonuses Results.
Note that the iris-AgenticAI application now supports Vector Search, and the second article is also published.
 

Congrats to all the winners! Amazing stuff—so much to learn from you all!
 

code below might help:

import iris

# sql statement
sql = "SELECT ID, Name, Age FROM Sample.Person WHERE Age = ?"
result = iris.sql.exec(sql, Myage)

for row in result:
    ## Unpack tuple directly
    id, name, age = row  
    #Access by index (0-based in this case)
    name = row[1]  # Name is 2nd column (index 1)
    
    # Print values
    print(f"ID: {id}, Name: {name}, Age: {age}")

Congratulations to all the winners! 👏

👏 This is a fantastic addition to the Developer Community

👋 Hello everyone!

I'm Muhammad Waseem, currently working as a Technical Consultant specializing in healthcare data transformation, clinical trials systems, and AI-driven applications using InterSystems IRIS.

I’ve been part of the InterSystems Global Summit for several years now, and I’m excited to be attending READY 2025 as well!
I’m particularly focused on projects involving FHIR, HL7, and RAG-based solutions using vector search.

Looking forward to connecting, learning, and sharing ideas with this amazing community!

Let’s connect on LinkedIn:
🔗 linkedin.com/in/muhammad-waseem-21259020

Nice article! Thanks for the clear explanation and practical insights!

Congratulations @Dmitry Maslennikov! Your tireless commitment and innovative contributions to the community are remarkable.

Thanks @Irène Mykhailova for the sharing.
This year’s event was an incredible opportunity to meet community heroes, explore cutting-edge technologies, forge meaningful connections, and exchange ideas with industry leaders.

Got 7/12, but I could easily hit 10 with a couple more moments!

Congratulations to the winners!

Congratulations to all the winners!

Congratulations @John Murray on your amazing work with the InterSystems Developer Community! Your passion and leadership shine through, and we are lucky to have you driving progress and inspiring us all. Keep it up! 🎉
 

• Went to the sea or a lake -> Yes
• Hiked/enjoyed nature -> Yes
• Traveled somewhere new -> Yes
• Attended a concert or festival -> Yes
• Watched a movie or series -> Yes
• Read a book -> Yes
• Earned points and redeemed a reward on Global Masters 🏆 -> Earned but not redeemed
• Joined READY 2025 🎉 -> Yes
  
• Spent time with family or friends -> Yes

Done! 🎉 Excited to be part of this celebration