LLM Price Lookup Library for Python and TypeScript

🚀 #100DaysOfPython – Day 3: Lambda Functions 👉 Lambda = small anonymous function (one line) Example: add = lambda a, b: a + b print(add(2, 3)) # 5 Used commonly with: nums = [1, 2, 3, 4] squared = list(map(lambda x: x*x, nums)) ✨ Short and quick ✨ Useful for simple operations ⚠️ But here’s the catch: If your logic is more than one line → use a normal function. 🔍 My takeaway: Lambdas are great for simple transformations, not for complex logic. Read more: https://lnkd.in/eSSCUfmi #Python #Coding #100DaysOfCode #Developer

I once spent 2 hours debugging a config issue. The token was right. The host was right. Yet nothing worked. Turns out? I had 3 separate config objects running in the same app , each with its own state. That day, I truly understood the Singleton pattern. The idea is simple: one class, one instance, shared everywhere. No duplication. No inconsistency. One single source of truth. It's not magic , it's discipline baked into code. Swipe through the carousel to see how it works, a real-world analogy, and a clean Python implementation.  #DesignPatterns #CleanCode #SoftwareEngineering #Python #web

Reading a CSV into #Python #Pandas, and want a column to be treated as datetime values? Use parse_dates: df = pd.read_csv(filename, parse_dates=['x', 'y']) Bonus: The PyArrow engine often (not always) parses columns that look like dates.

From where I sit, the stack debates are the least interesting thing happening right now. The builders I watch shipping real things are using whatever gets them there. n8n. Make. Google Apps Script. React. Python. Whatever answers the question fastest. The magic is never the framework. It's knowing what to build in the first place. #BuildInPublic #Automation

Vast.ai Serverless SDK is in open beta. Decorate a function with @remote. Call it like local Python. Get GPU results back. No HTTP clients. No API wrappers. No dashboard. One pip install → https://lnkd.in/gZ5qUgX9

Generate a #Python #Pandas DatetimeIndex of datetime values, specifying the frequency, by passing freq and a code: pd.date_range(start='2026-03-01', end='2026-05-01', freq='8h') This returns a 184-element DatetimeIndex with evenly-spaced datetime values in that period.

Free Threading — Python's way to "goroutines", sort of. I’ve been experimenting with the new python3.14t builds. By combining Free-threading with AsyncIO, you can now: 1. Spawn worker threads (Parallelism). 2. Run an AsyncIO loop inside each (Concurrency). 3. Use queue.Queue as your "Channels" for thread-safe communication. The Result? True parallelism without the memory overhead of multiple processes. I’ve broken down the benchmarks and the "serialization tax" of subinterpreters in my latest write-up. If you're building high-scale backends, this is required reading. Read more: https://lnkd.in/gp3KBR_G #Python #DistributedSystems #Concurrency #Scalability #Performance

Python 3.4 Sets New Standard for High-Performance Concurrent Systems 📌 Python 3.4 cracked the code on high-performance concurrency by introducing asyncio, turning Python into a powerhouse for scalable web systems. With standardized async I/O and unified file paths via pathlib, it erased callback hell and messy string manipulations. Though retired in 2019, its architecture still shapes modern Python frameworks - proving that one release can redefine an entire ecosystem. 🔗 Read more: https://lnkd.in/dbW2_R5P #Python34 #Concurrency #Standardlibrary #Highperformance #Concurrentsystems

Struggling with API abuse or unexpected traffic spikes? This guide breaks down rate limiting in a simple, practical way to building scalable systems. Learn key algorithms and real-world use cases, then implement it in FastAPI using middleware or dependency-based limits for efficient request control. #python #fastapi #API #BackendDevelopment #softwareengineer #SystemScalability

 20+ years of business in a nutshell: Details matter. In Python, lambda closures are a silent trap. Senior developers catch this immediately; juniors spend hours debugging why every result is the same. Don't just write code—understand the "game beneath the game." #PythonDeveloper #CleanCode #SoftwareArchitecture #ProgrammingTips #CareerGrowth