Python Variables & Data Types Explained

You don't need an API key to run AI from Python. Two tools - uv for dependency management - ollama for model management One file - a simple Python script No extras - no Docker - no venv - no cloud bill Here is a quick setup I use for local LLM projects. Swipe to see it. Link in comments. #Python #LocalAI #Ollama #DeveloperTools #AI

🚀 Starting My Python Journey for Cloud Support Why Python? ✔ Automate repetitive tasks ✔ Handle logs & files ✔ Work with APIs Goal: Use Python to solve real cloud problems. #Python #CloudSupport #Learning

📂 File Handling in Python with open("log.txt") as f: data = f.read() Real-world use: ✔ Read logs ✔ Analyze errors Cloud Support = Log analysis #Python #LogAnalysis

📜 Python Automation: Log Error Counter ```python count = 0 with open("log.txt") as f: for line in f: if "ERROR" in line: count += 1 print("Total Errors:", count) ``` 💡 Real Cloud Support task: ✔ Quick issue detection #Python #LogAnalysis

Week 9: Python fundamentals. Started with print("Hello"). Ended with a Python script deploying infrastructure to AWS. Everything in between - strings, lists, dictionaries, loops, functions - had an AWS example attached to it. That's the difference between learning Python and learning Python for cloud engineering. Full breakdown on Medium - link in the comments. #AWS #Python #LearningInPublic #CloudEngineering

🐍 Why Python is the Best Language for Beginners What makes Python powerful? ✔ Easy syntax (almost like English) ✔ Less code, more output ✔ Huge community support Example: Print a message → print("Hello World") That simplicity is why Python is widely used in: ✔ Cloud ✔ Automation ✔ Data #Python #LearningToCode

Excited to open-source **anyuri** — a Python library I extracted from our internal tooling at GliaCloud. If you've ever built a pipeline that touches multiple storage backends (GCS, S3, Azure, local files), you know the pain: # Before def ffprobe(uri: str) -> Any: if uri.startswith("gs://") or uri.startswith("https://lnkd.in/gMX7BQv5"): # convert to https ... elif uri.startswith("http://") or uri.startswith("https://"): ... elif uri.startswith("file://") or uri.startswith("/"): # convert to local path ... do_ffprobe(converted_uri) # After def ffprobe(uri: AnyUri) -> Any: do_ffprobe(uri.as_source()) It also eliminates the dual-representation problem — the same GCS object lives at both `gs://bucket/key` and `https://lnkd.in/gfDR-jZM. Instead of writing conversion logic everywhere, you just call `uri.as_source()` and get the right form for whatever tool you're calling. The key design decision: every `AnyUri` subclass is a plain `str`. No casting, no adapters — it drops into any existing codebase without touching the code around it. 96% test coverage. Pydantic v1/v2 support. Zero hard dependencies. A special thank you to my wife Agnes — she juggles multiple roles at GliaCloud with grace and precision, just like `AnyUri` handles whatever you throw at it. ❤️ 📦 pip install anyuri[all] 📖 https://lnkd.in/gpCivTxb 🐙 https://lnkd.in/g2B9MyTe #Python #OpenSource #CloudStorage #DeveloperTools #GliaCloud #SoftwareEngineering

🔤 Python Program: Count Vowels ```python text = "cloud computing" vowels = "aeiou" count = 0 for char in text: if char in vowels: count += 1 print("Vowel Count:", count) ``` 💡 Helps in: ✔ String processing ✔ Log/data analysis #Python #Programming

Built a live stock analysis dashboard from scratch using Python, Streamlit & Plotly. Features: Candlestick charts with SMA/EMA/RSI Portfolio tracker with P&L & allocation Live news feed per ticker Deployed on Streamlit Cloud → https://lnkd.in/ddR-gVps #Python #DataScience #Streamlit #FinTech

Python Concurrency and Multiprocessing Ever felt like your Python code is doing one thing at a time while the world moves at light speed? 🐢💨 I remember the first time I hit a scaling wall with a data-heavy project. I thought, "Python is just slow." I was wrong. I just wasn't using its full potential. There’s a huge misconception that Asyncio, Multithreading, and Multiprocessing are interchangeable. They aren't. Choosing the wrong one is like trying to use a screwdriver to hammer a nail—it might eventually work, but it’s going to be painful. I’ve have been writing a lot of python code on production using AsyncIO and Multiprocessing. Now I specifically make notes of where the bottlenecks are, like I/O, DB , Network calls etc. If you are learning it for the first time or need a quick reminder on these topics, in my 2 part blog post series, I break down: ✅ Asyncio: Why it’s the king of I/O bound tasks (API calls, DB queries). ✅ Multiprocessing: When you need to stop playing around and use every core of your CPU. ✅ The "Event Loop": Making sense of the magic behind the scenes. If you’ve ever struggled with await or wondered why your "concurrent" code is still lagging, this one is for you. Check it out here: 🔗 https://lnkd.in/eHDaPdS9 I'd love to hear your thoughts and experiences. #Python #SoftwareEngineering #BackendDevelopment #Asyncio #Programming #TechBlog