Emergent Framework Compiles Python Apps from Single Dataclass

🐍 Debugging Python (Odoo) Like a Pro When you need to manually step through code using the Python debugger, a few small tweaks can save you a lot of frustration: 🔹 Reduce log noise Set the logging level to ERROR so your debugger output stays readable. You can still enable specific loggers with higher verbosity using --log-handler if needed. 🔹 Disable workers Run the server with --workers=0 to avoid multiprocessing issues. This prevents the same breakpoint from being hit multiple times in different processes. 🔹 Stop cron jobs Use --max-cron-threads=0 to disable ir.cron tasks. Cron jobs running in the background can trigger unexpected logs and side effects while you’re debugging. ✨ These small adjustments make stepping through code calmer, cleaner, and way more predictable. #Python #Odoo #Debugging #SoftwareDevelopment #BackendDevelopment #DeveloperTips

🐍 Python Term of the Day: higher-order function (Python Glossary) A function that either takes one or more functions as arguments or returns a function as its result. https://lnkd.in/dGJvANsK

I made another Python package! It simplifies bKash integration in Python. On top of that, it supports async, so integrating it with web frameworks like FastAPI is gonna be smooooooth. I went through the bKash API docs so you don’t have to, and trust me when I say this, it wasn’t a pleasant experience. The official documentation is full of discrepancies, and some parts haven’t been updated in a long time. I had to do a fair amount of guessing and dig through other people’s TypeScript implementations to figure things out. Overall, the docs might look slick, but under the hood, it’s a real mess. You’ll find detailed usage examples and documentation on my GitHub.

While Loops: Control Flow in Python While loops are a fundamental control structure in Python, allowing code to execute repeatedly as long as a specified condition is true. They're particularly useful for situations where the number of iterations is not known ahead of time, such as reading from an input source until a certain condition is met. In the above example, an infinite loop is set up using `while True`, which perpetually prints the counter. The crucial element here is the `break` statement that exits the loop after a specific number of iterations. This approach prevents the loop from running indefinitely, which could freeze your program or lead to unexpected behaviors. While loops rely on a condition that evaluates to either `True` or `False`. As long as that condition is true, the block of code within the loop runs. This becomes critical when managing resources, gathering input, or controlling algorithm flow that is dependent on dynamic or user-generated data. It's essential to ensure your loop's condition will eventually become false; otherwise, you risk encountering an infinite loop that can crash your program. Having a clear termination condition like the one demonstrated prevents this risk and enhances code reliability. Quick challenge: Modify the above code to count down from 5 to 0 instead of counting up. What changes would you make? #WhatImReadingToday #Python #PythonProgramming #Loops #ControlFlow #Programming

# Python for Rapid Prototyping and Semantic Model Validation Python's versatility shines in application development, allowing for quick mockups with minimal code by handling backend, middleware, and frontend. This is amplified by tools like Semantic Link, which provides invaluable insights into semantic models. It can identify missing references, broken links, and offer optimization suggestions. While SQL remains essential for data manipulation and stored procedures, Python serves as a powerful scripting language for both development and validation, streamlining the process of ensuring semantic model integrity. #Python #SemanticLink #DataModeling #SoftwareDevelopment #APIDevelopment

🐍 Python Developer Nuggets — Day 11 Context Managers — Safe Resource Handling How does with open(...) auto-close files? Manual handling is error-prone (missed close(), leaks) with ensures automatic cleanup, even on exceptions Powered by __enter__ & __exit__ under the hood Why it matters ✔ Cleaner code ✔ Safer error handling ✔ No resource leaks Think of it as Wrap your logic with setup + guaranteed cleanup. Small Python tricks, Big Developer Impact! #Python #Django #CleanCode #BackendDevelopment #DeveloperTips

🐍 Python Term of the Day: filter() (Python’s Built-in Functions) Returns a filter object that yields those elements of iterable for which the filtering function returns True. https://lnkd.in/dDazgDQ4

If you are doing any sort of python development work for MARI by the Foundry, I've generated a full set of up to date Python Stubs for it that you can use in your Code Editor for hinting and auto completion. https://lnkd.in/eZvDcTVP

🚨 Python Packaging Question – Day 1 Most Python developers have used this command at some point: pip freeze > requirements.txt It’s quick, easy, and commonly recommended in tutorials. But here’s the twist 👇 Many experienced developers consider this a bad practice for sharing projects. ❓ Question: Why is pip freeze not ideal for creating requirements.txt for a project? What problem does it create for other developers? What is a better alternative approach? What problem does that alternative solve? 💬 Drop your thoughts in the comments. Even guesses are welcome! I’ll post the full explanation and better workflow tomorrow in the comments. #Python #SoftwareEngineering #TechQuestion #DevCommunity #LearningInPublic