FastAPI with Pydantic: Data Validation & Serialization

For anyone convinced that "LLMs can do programming autonomously," I implore you to try implementing this rather straightforward issue on GitHub: https://lnkd.in/ef-FkaxJ The functionality already exists in the Java ClickHouse driver. Your task is to extend the Python driver/connector to support it. For convenience, I’ve summarized the requirements: 1. get_client() should accept multiple hosts via hosts=[("hostA", 8123), ("hostB", 8123)]. 2. Requests should be distributed across hosts using round-robin load balancing. 3. All existing single-host usage must remain unaffected. P.S. This is not to say LLMs are bad, but rather we need to be honest about their limitations.

I'm excited to launch of VenvManager — a cross-platform desktop app that simplifies Python environment management. If you've ever struggled with juggling multiple Python versions, manually creating virtual environments, or fighting with shell configurations just to get the right Python on your PATH — this is for you. VenvManager gives you a clean, modern GUI to: - Install and manage multiple Python versions side-by-side (no admin privileges needed) - Set any environment as your global default python interpreter with one click - Create, organize, and switch between virtual environments visually - Install, update, and remove packages from PyPI without touching the terminal It's free for personal use. Download it at http://venvmanager.com I'd love to hear your feedback — what would make this more useful for your workflow? NB: The project is currently not open source - I might change this in the future.

𝗗𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗼𝗳 𝗚𝘂𝗻𝗶𝗰𝗼𝗿𝗻 𝗮𝘀 𝗷𝘂𝘀𝘁 𝗮 𝗪𝗦𝗚𝗜 𝘀𝗲𝗿𝘃𝗲𝗿? It’s more than that. What is WSGI? It’s a specification that defines how a Python web framework and a Python server communicate with each other. WSGI is implemented in Gunicorn, but that’s only part of the story. At its core, Gunicorn is a Python web server with full lifecycle management. That includes: - Worker process management — creation and supervision - OS signal handling for dynamic control (reload, shutdown, scaling, etc.) - HTTP message parsing For example, you can run a non-WSGI app with Gunicorn using the Uvicorn worker and FastAPI—even before version 24+. If you want to understand how Gunicorn works step by step, check out this content: https://lnkd.in/ednj284z So what is Gunicorn? Gunicorn is a pre-fork model Python web server.

Most 'security' tools require 50+ third-party dependencies just to run a simple handshake. Every dependency is a potential entry point for a supply chain attack. We just stripped the Aethelgard Python SDK to its bones. Zero Dependencies. > * Standard Library Only. > * 100% Auditable. > We don't ask you to trust a web of external developers. We ask you to trust the physics of Forensic Nullity. pip install aethelgard-sdk , No fat. No risk. Just the Hardline.... Securepasspro.co gets better by the day.

pipx install "dworshak[crypto]" echo "alias dwobsec='dworshak prompt obtain secret' " >> ~/.zshrc export VALUE=$(dwobsec myapp api_key -e) --- We have achieved hygiene separation between stderr and stdout in the dworshak ecosystem. Now users can cleanly pipe values and capture environment variables. This is no longer just a Python scripting tool. Now you can rely on dworshak for prompting users and devs at the environment level, all while enjoying the Obtain pattern, multiplexed between console, web, and GUI input interfaces. https://lnkd.in/ey5M2Bnc

𝗪𝗵𝘆 𝗥𝘂𝗻𝗻𝗶𝗻𝗴 𝗨𝘀𝗲𝗿 𝗖𝗼𝗱𝗲 𝗼𝗻 𝗬𝗼𝘂𝗿 𝗦𝗲𝗿𝘃𝗲𝗿 𝗜𝘀 𝗗𝗮𝗻𝗴𝗲𝗿𝗼𝘂𝘀 While building a Python script execution API, I realized how risky it is to run user-submitted code on a server. A script could try to delete files, access sensitive directories, run infinite loops, or consume all system resources. What sounds like a simple feature quickly becomes a serious security and reliability problem. To explore this, I built 𝗣𝘆𝘁𝗵𝗼𝗻𝗦𝗰𝗿𝗶𝗽𝘁_𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗦𝗮𝗻𝗱𝗯𝗼𝘅, which executes scripts inside an isolated environment using 𝗻𝘀𝗷𝗮𝗶𝗹 locally and 𝗴𝗩𝗶𝘀𝗼𝗿 in production, enforcing filesystem restrictions and resource limits. The real challenge was 𝗱𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗴𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀 that safely handle untrusted code. If you're curious, you can go through the project and some of the test cases to see how the sandbox handles different scenarios 👇 https://lnkd.in/eZP5mMhP

Saving any information as a text file in JSON format (*.json files) In Python, the json format is similar to the Dictionary w/c is a built-in, mutable data structure that stores data as a collection of unique key:value pairs within curly braces {}. Using the json library import json #create a dictionary object mydictionary = {'name': 'John', 'age': 30, 'city': 'New York'} # convert the dictionary to a JSON file # indent 4 just makes the json in a nice format # with 4 spaces for indentation with open('mydata.json', 'w') as json_file: json.dump(mydictionary, json_file, indent=4) in your unix shell, you list the result cat mydata.json {   "name": "John",   "age": 30,   "city": "New York" }%                    

FastAPI with Beautiful Soup: Web Scraping Made Easy In the world of web development, we often need to extract data from websites. Whether it's gathering information for research, building a price comparison tool, or creating a data-driven application, the ability to scrape websites is invaluable. While there are many tools available, combining the power of FastAPI, a modern, fast (high-performance), web framework for building APIs with Python, and Beautiful Soup, a Python library for pulling data out of HTML and XML files, provides a clean and efficient approach....

Seeing patching inside Python tests shows that you're an amateur Yes, it's very easy to add such after the fact. But they are bad, so bad. They are fragile - totally irresistant to refactoring. As FastAPI nicely shows - life, including automated software testing, is so much easier with dependency injection. You have full control also during tests. You can very easily swap "hard to use in tests" parts. Next time you see the Claude Code use pathc, push back to replace it with DI.