Stop Nested Code: Use Guard Clauses for Cleaner Logic

Ever wanted to build your own weather app in Python? 🤔 ✅ In this video, I'll show you how to create a simple GUI weather app using Tkinter and a real API. By the end, you'll be able to search any city and get live temperature and weather conditions! 🌦 https://lnkd.in/gUupt9-d #pythonproject #pythontkinter #api #weatherapp

Want to check whether a #Python #Pandas string series only contains digits? Use str.isdigit: df['x'].str.isdigit() This returns a boolean series, with df's index. You can then convert the digit-containing strings to integers: df.loc[pd.col('x').str.isdigit(), 'x'].astype(int)

A lot of developers try to make their code “clean” by following a checklist. Small classes. Short functions. Everything abstracted behind services and containers. The result often looks tidy, but changing the behaviour of the program is still hard. The real logic is scattered across too many layers. In today’s video, I refactor a small Python program and show why optimizing for smallness often leads to worse designs. What actually matters is cohesion: grouping things that change together and making the workflow of the program easy to understand. 👉 Watch the full video here: https://lnkd.in/g-PFkk3C. #python #softwaredesign #cleancode #refactoring #arjancodes

Stop "Awaiting" Everything: The Hidden Cost of Async Python 🐍 Is your Python codebase turning "Red"? In the world of FastAPI and modern web frameworks, we’ve fallen into a trap: the belief that prefixing every function with async makes our code "faster." But if you’re using async for simple logic or CPU-heavy tasks, you might actually be: 1. Adding "Micro-Stalling": Forcing simple logic through the event loop's scheduling machinery actually slows it down. 2. Hogging the Loop: One CPU-bound "async" function can freeze your entire server. 3, Increasing Cognitive Load: When everything is awaitable, nothing stands out as a genuine I/O bottleneck. I just wrote a deep dive on why "Sync" is often the superior choice for internal logic, data science, and simple utility functions. Check out the full breakdown here:

🚀 The Chain of Responsibility Pattern (Python) The Chain of Responsibility pattern avoids coupling the sender of a request to its receiver by giving multiple objects a chance to handle the request. The request is passed along a chain of handlers until one of them handles it. This pattern is useful when you have multiple objects that can handle a request, and you want to decouple the sender from the receivers. It promotes loose coupling and allows you to add or remove handlers dynamically. #Python #PythonDev #DataScience #WebDev #professional #career #development

Just a minor thing, but I find it nicer to read than "plain" C#, especially when compared with every sample in every doc that showcases AI APIs using python/javascript. We can do better in @dotnet: https://lnkd.in/dfuJ4J83

A lot of developers try to make their code “clean” by following a checklist. Small classes. Short functions. Everything abstracted behind services and containers. The result often looks tidy, but changing the behaviour of the program is still hard. The real logic is scattered across too many layers. In today’s video, I refactor a small Python program and show why optimizing for smallness often leads to worse designs. What actually matters is cohesion: grouping things that change together and making the workflow of the program easy to understand. 👉 Watch the full video here: https://lnkd.in/g2txBqi6. #python #softwaredesign #cleancode #refactoring #arjancodes

When was my friends were playing #FLAMES 😁😉, repeatedly doing the same calculations again and again. At that movement, I got an idea nowadays everything is automated, so why not automate FLAMES too? so, I came up with a python solution 🤔😎. Take a look 🤫🫣🫨 #python #problemsolving #crasy #pythonprogramming #fun #automation #play

The logic behind the 1RedKey HS Code Audit Tool isn't just about the Python frontend—it’s about the constant refinement of the underlying regulatory ruleset. A little 'Saturday morning refactoring' to keep the system lean. #LogisticsTech #Python #SupplyChain #TorontoBusiness #1RedKey #TradeCompliance #grow #1_red_key

Using too much metaprogramming in a dynamically typed language like Python can confuse your IDE and your type checker. On the other side, typing everything by hand can create mistakes. One idea you can try is to write scripts that generate code. That way you won't have to type everything by hand, and still get the benefits of your type checker/IDE.