Django API tips: secrets, serializers, and testing

🚀 Introducing uv init — The Fastest Way to Start a Python Project ⚡🐍 If you’ve ever wished Python project setup could be as fast and easy as npm init in JavaScript, your wish just came true. Meet uv, a new ultra-fast Python package manager built by Astral — the creators of Ruff. 🧰 How to Start a New Python Project Open your terminal and run: uv init my_project That’s it! 🎉 This command will: Create a new folder named my_project Set up a .venv (virtual environment) automatically Generate a pyproject.toml Add your Python version and tool settings

Python & Django 🐍 Python 3.15 brings unpacking in comprehensions and lazy imports. 🧠 Python 3.14 adds live debugging — no need to stop running code! 🌐 New tools: httpmorph for browser fingerprinting, ArgMan for CLI parsing, and Pandas SmartCols for easier column handling. ⚙️ HTMX 4.0 drops with major improvements. 🛡️ Django releases critical security fixes + patches for django-allauth. ⚡ Real-time browser events now possible in Django with PostgreSQL. #Python #Django #WebDev #oneitechlearning #OpenSource

🧩 Understanding Jinja2 — The Engine Behind Dynamic HTML Most beginners think Python frameworks like Flask or Django “serve HTML directly.” But in reality, Jinja2 is what transforms your Python data into real, dynamic web pages. Here’s what you’ll learn in this post 👇 🔹 What Jinja2 is and why we use it 🔹 Core syntax — variables, loops, and conditionals If you’re building your own WSGI app or learning how frameworks render templates, understanding Jinja2 will make everything click — it’s where backend logic meets frontend presentation. #Python #WebDevelopment #Backend #Flask #Django #Jinja2 #FullStack #LearningJourney #DeveloperJourney #Programming

To me, Django still remains the best python framework over flask. I know some folks may complain about its robustness, but why will you even think of a perfect Full-Stack framework without the thought that it has to robust in order to be flexible enough.

Day 10 — Django Models Models are Python classes that define your database structure. Example: class Blog(models.Model): title = models.CharField(max_length=100) content = models.TextField() Run python manage.py makemigrations and migrate — Django handles the database magic for you 🪄

Give your browser agents the ability to handle files, from downloading documents from web portals to uploading PDFs to job boards. Python + TypeScript examples in the Cookbook ↓ Play with Steel's Files API Cookbook: https://lnkd.in/gwejemDb

Python package managers let you install and manage dependencies right from your terminal. And uv is a super fast option that you'll learn how to use in this quick guide. You'll install it, use it to set up a project, and learn a bunch of helpful commands, too. https://lnkd.in/gexVtVP7

I first learned about uv, a way faster Python package manager, around June or July this year — and ever since then, I’ve been using it regularly on my PC. Honestly, I’ve enjoyed using uv much more than directly using pip. It’s faster, cleaner, and makes dependency management so much easier. After reading the latest blog post about uv today, I discovered even more interesting use cases that can help me optimize my workflow further. If you’re a regular Python user, I definitely recommend giving uv a try at least once — it might just make your development experience smoother and more enjoyable. ⚡🐍 #Python #UV #Developers #DataScience #MachineLearning #Productivity #PythonTools

Walked through my brew list on video today and realized everyone's seeing Python installed via Homebrew right after I published best practices saying to never do that. I mean you can, but it's a nightmare. You'll save all the heartache by using a version manager like pyenv to install Python. Even if you're just playing around. Whelp. Can't win 'em all. Anyway PSA to "brew list" once in a while. What's lurking in your system environment? #developers #homebrew #softwaredevelopment #buildinpublic

Type hints have quietly transformed the way Python developers write code. What started as an optional “nice-to-have” feature in PEP 484 has now become a foundation for building robust, large-scale backends - especially when working with frameworks like Django and FastAPI. In my latest Medium post, I dive deep into modern type hinting in Python, moving step-by-step from basics to advanced patterns, and exploring how they make your APIs cleaner, safer, and easier to maintain. If you’re working on backend systems or large codebases, this guide will help you level up your code quality and developer experience. 👉 Read here: 🔗 https://lnkd.in/gVrY4nSW #Python #Django #FastAPI #BackendDevelopment #TypeHints #SoftwareEngineering #CodeQuality #CleanCode #Mypy #PEP484 #DeveloperExperience