🚀 Leveling Up My Django Workflow: Today’s Learnings Today was all about moving beyond the basics of Django and streamlining how I interact with data. Whether it's automating tasks or mastering the ORM, these three pillars are game-changers for any dev's toolkit. 🛠️ 1️⃣ Pro-Level Scripting with django-extensions Stop copy-pasting code into a web view just to test logic! By using the runscript command, you can execute Python logic directly within your Django context. Setup: Create a scripts/ directory with an __init__.py. The Entry Point: Define a run() function in your file (e.g., orm_test.py). Execution: Just hit python manage.py runscript orm_test in your terminal. Clean and efficient. 2️⃣ Two Ways to Build: Creating Records I explored the two primary paths for persisting data to the database: Instantiate & Save: Great for when you need to perform logic or calculations on the object before committing it. obj = Restaurant() → obj.save() The .objects.create() Shortcut: The "one-and-done" method. Perfect for quick, readable insertions using keyword arguments. 3️⃣ Mastering the QuerySet Querying is where the Django ORM really shines. The biggest takeaway? Lazy Evaluation. 🐢 Django is smart—it won’t hit your database until you actually need the data (like when you iterate over it or print it). .all(): Grabs everything. .first() / .last(): Returns a single instance instead of a list. .count(): Efficiently counts rows at the database level rather than loading them into memory. And view Database model in SQLite. Learning the "Django way" makes development faster, cleaner, and much more scalable. On to the next challenge! 💻✨ #Django #Python #WebDevelopment #SoftwareEngineering #LearningInPublic #BackendDevelopment #DjangoExtensions

🚀 Leveling Up My Django ORM Game At scale, .filter() and .all() aren’t the hard part. The real difference shows up in how you design your queries. Lately, I’ve been leaning much more on things like annotations, subqueries, and proper prefetching—and the impact is very real: fewer queries, lower memory usage, and much more predictable performance. Instead of pulling data into Python and looping over it, I push the work down to the database. Instead of shipping N+1 queries to production, I’m explicit about how related data is loaded. The result is code that’s not just correct, but actually production-grade. Big takeaway: Django ORM isn’t slow. Bad query patterns are. If you’re building serious Django apps, mastering query design matters just as much as writing clean business logic. #Django #Python #BackendEngineering #SoftwareEngineering #Performance #Scalability #WebDevelopment

🔹 Django Model Tip: null=True vs blank=True While revising Django models, I revisited a concept that often confuses beginners: the difference between null and blank. Example: hobby = models.CharField(null=True, blank=True) At first glance they seem similar, but they work at different levels. • null=True allows the database to store a NULL value for the field. • blank=True allows the field to be empty during form validation (for example in Django forms or the admin panel). A simple way to remember: 📌 null → database level 📌 blank → form/validation level Understanding these small distinctions helps in designing cleaner and more reliable Django models. Currently revising Django fundamentals and sharing what I learn along the way. 🚀 #Python #Django #WebDevelopment #BackendDevelopment #LearningInPublic

🚀 Next Step in My Backend Journey After building a few projects with Flask, I started thinking about the next step. Flask gave me a strong understanding of how backend systems work, but I wanted to explore something more structured and widely used in the industry. That’s why I started learning Django and Django REST Framework (DRF). One thing I immediately noticed — Django comes with many built-in features that we usually have to build manually in Flask. Also, the clear separation between apps and project structure makes it easier to organize larger applications. This shift feels like moving from “building everything from scratch” to working with a more scalable and production-ready framework. Now I’m focusing on understanding how to build APIs with DRF and how Django handles things under the hood. 👉 For those who’ve used both — when did Django really start making sense to you? #Python #Django #Flask #BackendDevelopment #WebDevelopment #LearningJourney

When learning Django, making mistakes is part of the journey. Looking back, there are a few things that would have saved a lot of time if understood earlier. Here are 3 mistakes made while learning Django: 1. Skipping the fundamentals Jumping directly into advanced topics without fully understanding Django models, ORM, and request/response flow made things confusing later. Strong fundamentals make everything easier. 2. Not thinking about database design early While building projects, database structure was sometimes treated as an afterthought. Later, changes became harder. Good schema design saves a lot of effort. 3. Ignoring deployment and production concepts At first, focus was only on making code work locally. Learning about Docker, deployment, and production environments later showed how important they are for real-world applications. Over time, working on real projects, integrating APIs, and building scalable backend systems helped correct many of these mistakes. Still learning every day - and that’s the best part of this field. For anyone learning Django right now: Focus on fundamentals, build projects, and understand how things work in production. #Python #Django #BackendDevelopment #WebDevelopment #LearningJourney

Writing a Django query does not mean it hits the database! Writing a Django query and hitting the database are two different things. The ORM makes it easy to forget the difference between these. Here's what actually happens: 1. When a QuerySet is written, Django builds a query object internally. 2. This has no SQL. No database connection. Just a description of what data is needed. 3. This description can be chained, filtered, sliced, and passed around as required. Still no database hit. 4. The database is only contacted at the moment of evaluation, when Python actually needs the data. This is powerful when used intentionally. Build a complex query across multiple functions, evaluate once, pay the DB cost once! This can backfire too! A QuerySet evaluated inside a loop, once per iteration, is the N+1 problem. Takeaway: -> Efficiency: Chain and pass QuerySets, zero DB cost until evaluation -> Danger: Evaluation inside loops fires one query per row silently -> Control: Knowing evaluation points is the foundation of ORM performance I’m deep-diving into Django internals and performance. Do follow along and tell your experiences in comments. #Python #Django #DjangoInternals #SoftwareEngineering #BackendDevelopment

EP 13 | Advanced Django Explained: Class-Based Views, Middleware & REST APIs (Full Guide) In Episode 13, we dive deep into Advanced Django development and explore the concepts that every serious backend developer should master. This video explains how to build cleaner, scalable, and production-ready applications using Class-Based Views (CBVs), Middleware, and Django REST Framework (DRF). Whether you are moving beyond Django basics or preparing for real-world backend projects, this episode will help you understand how modern Django applications are structured. 🔹 What you will learn in this video: ✔ Class-Based Views (ListView, DetailView, FormView) ✔ Generic views and code reusability ✔ Customizing CBVs using methods and mixins ✔ Middleware and request/response lifecycle ✔ Creating custom middleware in Django ✔ Building REST APIs with Django REST Framework ✔ Serializers, ViewSets, and Routers explained ✔ Authentication & permissions in DRF 💡 This episode is perfect for: • Django developers upgrading from beginner to advanced level • Backend developers building scalable APIs • Students learning real-world Django architecture • Anyone interested in modern Python web development 📌 Don’t forget to Like 👍, Subscribe 🔔, and share if you found this helpful! #Django #Python #DjangoRESTFramework #WebDevelopment #BackendDevelopment #Programming #APIDevelopment #SoftwareEngineering #LearnDjango #TechTutorial

Our first integration, Django, is in the Django Newsletter this week. ParadeDB is now officially available from the Python / Django ecosystem via `pip install django-paradedb` Source: https://lnkd.in/g7gyYsD5

Build search and RAG apps with boring technology. Django + Postgres. Most times technology that you already know is the best.

I recently started a Django backend series in Bangla where I explain the fundamentals step by step while building a small project. While learning backend development, I often felt that many tutorials jump straight into code without explaining why things work the way they do. With this series, I tried to approach Django in a more structured way — focusing on concepts first and then implementing them. The playlist covers topics such as: • Django setup and project structure • URLs, Views & Templates • Models, database, and admin panel • Creating posts using Django ModelForms • Update & Delete operations (completing CRUD) • Authentication (login/logout) • Template inheritance • Static file handling If you're currently learning Django or exploring backend development, this series might be helpful. I’d really appreciate any feedback or suggestions from the community. Playlist: https://lnkd.in/gxbGuHJ9 #django #BackendDevelopment #Python #WebDevelopment