🔍 Key Topics Covered 1️⃣ The Python Problem in Power PlatformWhy “Python runs natively” doesn’t mean “Python runs anywhere.”The rise of Code Interpreter inside Copilot Studio—and the chaos that followed.The real reason flows time out and files hit 512 MB limits.Why using Azure Functions for everything—or nothing—is equally misguided.2️⃣ The Code Interpreter: Microsoft’s New Python SandboxHow Code Interpreter works inside Copilot Studio (the “glass terrarium” analogy).Admin controls: why Python execution is disabled by default.What it can actually do: CSV transformations, data cleanup, basic analytics.Key limitations: no internet calls, no pip installs, and strict timeouts.Why Microsoft made it intentionally safe and limited for business users.Real-world examples of using it correctly for ad-hoc data prep and reporting.3️⃣ Azure Functions: Python Without Training WheelsWhat makes Azure Functions the true enterprise-grade Python runtime.The difference between sandbox snippets and event-driven microservices.How Azure Functions scales automatically, handles dependencies, and logs everything.Integration with Power Automate and Power Apps for secure, versioned automation.Governance, observability, and why IT actually loves this model.Example: processing gigabytes of sales data without breaking a sweat.4️⃣ The Illusion of ConvenienceWhy teams keep mistaking Code Interpreter for production infrastructure.How “sandbox convenience” turns into “production chaos.”The cost illusion: why “free inside Power Platform” still burns your capacity.The hidden governance risks of unmonitored Copilot scripts.How Azure Functions delivers professional reliability vs. chat-prompt volatility.5️⃣ The Decision Framework — When to Use WhichA practical rulebook for choosing the right tool:Code Interpreter = immediate, disposable, interactive.Azure Functions = recurring, scalable, governed.Governance and compliance boundaries between Power Platform and Azure.Security contrasts: sandbox vs. managed identities and VNET isolation.Maintenance and version control differences—why prompts don’t scale.The “Prototype-to-Production Loop”: start ideas in Code Interpreter, deploy in Functions.How to align analysts and architects in one workflow.6️⃣ The Enterprise Reality CheckHow quotas, throttles, and limits affect Python inside Power Platform.Understanding compute capacity and why Code Interpreter isn’t truly “free.”Security posture: sandbox isolation vs. Azure-grade governance.Cost models: prepaid licensing vs. consumption billing.Audit readiness: why Functions produce evidence and prompts produce panic.Real-world governance failure stories—and how to prevent them.7️⃣ Final Takeaway: Stop the MisuseCode Interpreter is for experiments, not enterprise pipelines.Azure Functions is for scalable, auditable, production-ready automation.Mixing them up doesn’t make you clever—it makes you a liability.Prototype fast in Copilot, deploy properly in Azure.Because “responsible architecture” isn’t a buzzword—it’s how you keep your job.🧠 Key TakeawaysCode Interpreter = sandbox: great for small data prep, visualizations, or lightweight automations inside Copilot Studio.Azure Functions = infrastructure: perfect for production workloads, scalable automation, and secure integration across systems.Don’t confuse ease for capability. The sandbox is for testing; the Function is for delivering.Prototype → Promote → Deploy: the golden loop that balances agility with governance.Governance, monitoring, and cost management matter as much as performance.🔗 Episode Mentions & ResourcesMicrosoft Docs: Python in Power Platform (Code Interpreter)Azure Functions OverviewPower Platform Admin Center — Enable Code ExecutionCopilot Studio for Power Platform🎧 Listen & Subscribe If this episode saved you from another flow timeout or a late-night “why did it fail again?” crisis—subscribe wherever you get your podcasts. Follow for upcoming deep dives into:Copilot in the enterpriseAI governance frameworksLow-code meets pro-code: the future of automationHit Follow, enable notifications, and let every new episode arrive like a scheduled task—on time, with zero drama.Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-show-podcast--6704921/support.Follow us on:LInkedInSubstack

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