Implementing Role-Based Auth in Python Flask with MySQL

Day 5 — Django Basics Focused on Authentication and User Data today. Looked into how Django handles: User login and session management Secure storage and access to user-related data Starting to understand how authentication is deeply integrated into the framework and why Django is trusted for real-world applications. #Django #Python #BackendEngineering #SoftwareEngineering #WebDevelopment #LearningInPublic #PythonDeveloper

🐍📰 PyQt Layouts: Create Professional-Looking GUI Applications In this step-by-step tutorial, you’ll learn how to use PyQt layouts to arrange and manage the graphical components to create polished and professional GUIs with minimal effort. #python

Run Real Python in Browsers With Pyodide and WebAssembly. Pyodide compiles CPython to WebAssembly, letting developers run full Python directly in the browser without servers or installations.

𝗣𝘆𝘁𝗵𝗼𝗻 𝗦𝗗𝗞 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲! 🐍 Send transactional emails from your Python apps with our new SDK. Supports sync and async requests, works with Python 3.9+. Perfect for Django, FastAPI and other #Python projects. Read the full changelog ↓

Day 335: Python controlling the System (Subprocess) 🔧 Running Shell Commands from Python Sometimes Python isn't enough. Sometimes you need to run a git command, ping a server, or execute a C++ program from your Python script. The subprocess module is the bridge between Python and your Operating System. import subprocess # Running a simple echo command # capture_output=True lets us store the result in a variable result = subprocess.run(['echo', 'Hello from the shell!'], capture_output=True, text=True) print(f"Shell said: {result.stdout}") My Use Case: I recently used this to automate a git backup script that runs git add and git commit automatically at the end of the day. #Automation #SystemAdmin #Python #DevOps

💻 Day 284: Building Your Own Command-Line Tools with argparse Ever wanted to create your own command-line tool in Python? The argparse module helps you turn your scripts into flexible utilities that accept arguments like a real CLI app. Example: import argparse parser = argparse.ArgumentParser(description="Square a number") parser.add_argument('number', type=int, help="Number to square") args = parser.parse_args() print(f"The square of {args.number} is {args.number**2}") Now you can run it like this: python script.py 8 and it prints 64! 🙌 💡 Pro Tip: Turn your Python scripts into useful developer tools by adding arguments and help messages — no more hardcoding values! 🎯 Challenge: Create a CLI app that counts words in a text file or calculates BMI based on user inputs. #Python #Argparse #CLITools #Automation

Pytest is one of the most widely used testing frameworks in Python—but many teams only scratch the surface of what it can do. The real productivity boost comes from its plugin ecosystem. Here are 7 Pytest plugins that can significantly improve your testing workflow: • pytest-xdist – Run tests in parallel across multiple CPUs to dramatically reduce execution time • pytest-randomly – Randomizes test order to uncover hidden inter-test dependencies • pytest-cov – Measure test coverage and generate detailed coverage reports • pytest-instafail – See failures instantly instead of waiting for the entire test suite to finish • pytest-tldr – Cuts through noisy output by showing only tracebacks for failing tests • pytest-mpl – Validate Matplotlib visual outputs using image comparison • pytest-timeout – Automatically fails tests that hang or exceed a defined time limit Used together, these tools help teams ship faster, more reliable, and more maintainable Python systems. 👉 Which Pytest plugin do you rely on the most? #Python #Pytest #SoftwareTesting #TestAutomation #PythonDevelopment #EngineeringBestPractices #Machinelearning1 #QualityEngineering

ADK for TypeSctipt has the same simple syntax like the Python library. it only takes an .env file with an API key and one TS file to start an Agent Full code example of a production-ready ADK app 👉 https://lnkd.in/dbfynTif

Code execution can replace many tools and useless MCPs If you know how to engineer context for the code execution. Another issue is that you need a secure, sandboxed environment for evaluations on the backend which on practice is a *hard* task due to sec risks. My solution uses Pyodide with Deno . Pyodide provides an environment agnostic way to execute python; Deno provides security flags and a server for wasm. Everything is contenerized with adequate mem/cpu/io limits. #BuildInPublic #TypeScript #Python #Wasm #Jupyter

If you're working with Python and haven't tried uv, now's the time to learn 😃 ! You probably know pip, the Python package manager allowing you to install any dependency using "pip install". uv is a simple tool which does the same thing, just way way faster 🚀 .... How? It's written in Rust. Rust is a low-level, much faster programming language than Python. It's created by Astral - the same people behind "Ruff", the extremely fast Python linting tool. I recently migrated a tiny package which relies on a "requirements.txt" file (and pip to install everything) to uv, it's pretty simple. After migrating, uv stores all your dependencies in a "pyproject.toml" file along with a "uv.lock" file, which automatically resolves any conflicting dependency versions for you. Most people are saying that uv fixes Python as it "just works". I have to say that so far I also haven't had any issues with it, it makes everyone's life easier. Get started here: https://docs.astral.sh/uv/. For beginners, I recommend this nice tutorial: https://lnkd.in/gfcFfv9E #python #programming #coding #debugging #testing