Python AI Agents with Microsoft Framework

#Python + #Agents starts in less than a week! Join us in a new series of 6 livestreams where we'll explore the fundamental concepts for creating AI agents in Python using the #MicrosoftAgentFramework. This series is for anyone who wants to understand how agents work, including how they make tool calls, how they use memory and context, and how to build workflows on top of them. Over two weeks, we'll delve into the practical building blocks that define the real-world behavior of an agent. 🔗 Register here: https://msft.it/6045QX6RF See you in class! #MSFTAdvocacy

#Python + #Agents starts in less than a week! Join us in a new series of 6 livestreams where we'll explore the fundamental concepts for creating AI agents in Python using the #MicrosoftAgentFramework. This series is for anyone who wants to understand how agents work, including how they make tool calls, how they use memory and context, and how to build workflows on top of them. Over two weeks, we'll delve into the practical building blocks that define the real-world behavior of an agent. 🔗 Register here: https://msft.it/6048QjkvK See you in class! #MSFTAdvocacy

#Python + #Agents starts in less than a week! Join us in a new series of 6 livestreams where we'll explore the fundamental concepts for creating AI agents in Python using the #MicrosoftAgentFramework. This series is for anyone who wants to understand how agents work, including how they make tool calls, how they use memory and context, and how to build workflows on top of them. Over two weeks, we'll delve into the practical building blocks that define the real-world behavior of an agent. 🔗 Register here: https://msft.it/6045QXjHz See you in class! #MSFTAdvocacy

#Python + #Agents starts in less than a week! Join us in a new series of 6 livestreams where we'll explore the fundamental concepts for creating AI agents in Python using the #MicrosoftAgentFramework. This series is for anyone who wants to understand how agents work, including how they make tool calls, how they use memory and context, and how to build workflows on top of them. Over two weeks, we'll delve into the practical building blocks that define the real-world behavior of an agent. 🔗 Register here: https://msft.it/6040Qnevw See you in class! #MSFTAdvocacy

#Python + #Agents starts in less than a week! Join us in a new series of 6 livestreams where we'll explore the fundamental concepts for creating AI agents in Python using the #MicrosoftAgentFramework. This series is for anyone who wants to understand how agents work, including how they make tool calls, how they use memory and context, and how to build workflows on top of them. Over two weeks, we'll delve into the practical building blocks that define the real-world behavior of an agent. 🔗 Register here: https://msft.it/6048QntCm See you in class! #MSFTAdvocacy

#Python + #Agents starts in less than a week! Join us in a new series of 6 livestreams where we'll explore the fundamental concepts for creating AI agents in Python using the #MicrosoftAgentFramework. This series is for anyone who wants to understand how agents work, including how they make tool calls, how they use memory and context, and how to build workflows on top of them. Over two weeks, we'll delve into the practical building blocks that define the real-world behavior of an agent. 🔗 Register here: https://msft.it/6049QVIQP See you in class! #MSFTAdvocacy

#Python + #Agents starts in less than a week! Join us in a new series of 6 livestreams where we'll explore the fundamental concepts for creating AI agents in Python using the #MicrosoftAgentFramework. This series is for anyone who wants to understand how agents work, including how they make tool calls, how they use memory and context, and how to build workflows on top of them. Over two weeks, we'll delve into the practical building blocks that define the real-world behavior of an agent. 🔗 Register here: https://msft.it/6042QVNjk See you in class! #MSFTAdvocacy

Day 6 of #LearnInPublic Today I worked on the problem: First Non-Repeating Element in an Array. I implemented two approaches in Python: 1️⃣ Hash Map Approach (Using defaultdict) • Count frequency of each element • Traverse again to find the first element with frequency = 1 Time Complexity: O(n) Space Complexity: O(n) 2️⃣ Brute Force Approach • Compare every element with the rest of the array Time Complexity: O(n²) Space Complexity: O(1) Key takeaway: Using a hash map trades extra space for a significant improvement in time complexity. Small daily improvements compound over time. #Python #DataStructures #Algorithms #LearnInPublic #CodingJourney