Django Data Visualization with django-admin-charts

When learning backend development with Django, many developers understand models and queries but struggle with one key concept: How APIs are actually created. In Django, views are where everything comes together. Queries retrieve the data. Serializers convert the data. But views expose the data as APIs. In my latest article, I break down: • What Django views are • Function-based vs class-based views • What API views are • How APIs return JSON responses • Best practices for building clean API endpoints If you're learning backend development or building APIs with Django REST Framework, this will help you understand how requests actually become APIs. Read the article here 👇 https://lnkd.in/dquzq8bZ #Django #Python #BackendDevelopment #APIs #SoftwareEngineering #WebDevelopment

🚀 Backend Journey: Day 4 - Writing Python, Generating Tables! 📌 Topic: The Power of Django Models and the ORM Yesterday, I broke down the MVT architecture. Today, I zoomed in on the "M" — the Model. In the past, whenever I thought about interacting with databases, I pictured writing long, complex SQL queries to create tables, insert records, and fetch data. Django handles this completely differently through its ORM (Object-Relational Mapping). Here is what I learned today about how Django manages data: 🔹 Classes over Queries: Instead of writing raw SQL like CREATE TABLE users..., I simply define a Python class. Each attribute in the class (like name = models.CharField(...)) automatically translates into a database column. It feels incredibly intuitive. 🔹 Database Agnostic: Because I'm writing Python, Django translates that code into the correct SQL for any database. I can develop locally using lightweight SQLite and switch to a robust PostgreSQL database for production by changing just one line in my settings. No need to rewrite any queries! 🔹 Built-in Security: By using the ORM to interact with the database, Django automatically parameterizes queries behind the scenes. This provides massive built-in protection against SQL Injection attacks. 🧠 Key Insight: The ORM bridges the gap between object-oriented programming and relational databases. It allows me to interact with my data purely as Python objects, which speeds up development tremendously and keeps the codebase clean and secure. Next up: I'll be exploring Migrations—how Django keeps track of all these database changes like a version control system for your database! 👇 Question for the experienced devs: Do you prefer the speed and safety of an ORM, or do you still drop down to raw SQL when dealing with highly complex queries? #Python #Django #DatabaseDesign #ORM #BackendDeveloper #SQL #SoftwareEngineering #LearningInPublic #WebDevelopment

File uploads in Django are painful. When you use Django Storages + boto3, every file your users upload travels through your server twice. Once from the browser to Django, then again from Django to S3. Your server holds the connection open the entire time. On large files or slow connections, upload times out or takes years. The Admin panel freezes. Workers block and regrettably, server costs goes sky high. Today we shipped the Tenantbox Python SDK so any developer can use it in three lines: → client.get_upload_url() — get a presigned URL, file goes straight to storage, never touches your server → client.get_download_url() — generate a short-lived download link → client.delete_file() — clean up with usage automatically decremented Works with Django, Flask, FastAPI, or any Python app. Full examples for Django Ninja, Django REST Framework, Nuxt 4, and Next.js in the pypi docs and the Github README.md file. Get started by just executing: pip install tenantbox Docs: https://lnkd.in/de8jZ8Yk https://lnkd.in/dyffaDS7 Get started at: https://tenantbox.dev

Mastering Django’s `django-phonenumber-field` In today's globalized world, handling phone numbers correctly in web applications is crucial. Incorrectly formatted phone numbers can lead to communication issues, data validation problems, and a frustrating user experience. Django, a powerful Python web framework, provides excellent tools for building robust web applications. However, handling phone numbers requires a specialized approach. That's where `django-phonenumber-field` comes in – a Django app that simplifies the process of storing, validating, and formatting phone numbers....

Mastering Django & `django-filter`: Advanced Filtering Techniques In the world of web development, data is king. But raw data is often overwhelming. Imagine trying to find a specific product from a catalog of thousands, or filtering a list of customer orders by date range. This is where filtering comes in. Django, a powerful Python web framework, provides excellent tools for managing data, and `django-filter` is a fantastic package that simplifies the process of filtering data within your Django applications....

Mastering Django’s ‘Q’ Objects: Advanced Querying In the world of web development, the ability to efficiently and effectively query your database is paramount. Django, a high-level Python web framework, provides a powerful and intuitive Object-Relational Mapper (ORM) that simplifies database interactions. At the heart of Django's querying capabilities lies the Q object, a tool that unlocks advanced query construction, allowing developers to build complex and dynamic queries with ease....

以下是 django-bolt 项目的简介： Django-Bolt 是一个为 Django 打造的高性能 API 框架，由 Rust 驱动，可实现 60,000+ 次/秒的请求处理能力（RPS） 。 它的核心理念是：比 FastAPI 更快，同时保留 Django ORM、Django Admin 和 Django 生态的完整支持。 技术栈： ∙ Actix Web：Rust 生态中顶级的 HTTP 框架，负责高并发请求处理 ∙ PyO3：无缝桥接 Python 与 Rust 的异步运行时 ∙ msgspec：序列化速度比标准库快 5–10 倍 **主要特性：**装饰器路由、JWT/API Key 认证、权限守卫、中间件（CORS、限流、压缩）、全异步 ORM 支持、自动生成 OpenAPI 文档，以及类视图（ViewSet/ModelViewSet）。 无需 gunicorn 或 uvicorn，直接部署即可。目前已获 1.1k Star，处于积极开发阶段。 Django-Bolt is a high-performance, fully typed API framework for Django. Powered by Rust, it achieves 60k+ requests per second, using Actix Web for HTTP handling, PyO3 for Python-Rust bridging, and msgspec for fast serialization. Think of it as Django REST Framework or Django Ninja — but significantly faster, without sacrificing the Django ORM, Admin, or package ecosystem. Key Features: decorator-based routing, Rust-side JWT/API Key auth (bypassing the Python GIL), permissions & guards, CORS/rate-limiting/compression middleware, full async ORM support, auto-generated OpenAPI docs (Swagger, ReDoc, Scalar), and class-based ViewSets. No gunicorn or uvicorn required — deploy directly with python manage.py runbolt. Currently at 1.1k stars on GitHub and under active development. pip install django-bolt https://lnkd.in/g3bBGckp

Understanding Django ORM: The Power Behind Clean Database Access If you’ve ever worked with Django, you’ve probably used its ORM but do you really understand how powerful it is? The Django ORM (Object-Relational Mapper) lets you interact with your database using Python code instead of writing raw SQL. That means: ✅ Cleaner, more readable code ✅ Faster development ✅ Database abstraction (works across PostgreSQL, MySQL, SQLite, etc.) What’s happening behind the scenes? When you write: User.objects.filter(is_active=True) Django ORM: ➡️ Translates your Python code into SQL ➡️ Executes the query ➡️ Returns Python objects you can use instantly No SQL headaches. No boilerplate. Just logic. Key concepts every developer should know Models → Define your database structure QuerySets → Lazy, chainable database queries Migrations → Version control for your database Relationships → ForeignKey, ManyToMany, OneToOne Why it matters Mastering Django ORM isn’t just about convenience it’s about writing scalable, maintainable backend systems. 📌 Pro tip: Use .select_related() and .prefetch_related() to avoid performance issues (like N+1 queries). Your future self will thank you. 💬 Are you using Django ORM in your projects? What’s one trick that improved your performance or workflow? #Django #Python #WebDevelopment #Backend #Programming #SoftwareEngineering

Django Performance Boost: 5 Database Optimization Tips You Shouldn’t Ignore Working with Django? Your app might be slower than it should be—and your database is often the reason. Here are 5 powerful techniques to level up your performance 1. select_related() Use it for ForeignKey and OneToOne relationships. It performs a SQL JOIN and fetches related data in a single query. Fewer queries = faster response time 2. prefetch_related() Perfect for ManyToMany and reverse relationships. It runs separate queries but combines results efficiently in Python. Avoid the dreaded N+1 query problem 3. Indexing Adding indexes to frequently queried fields dramatically speeds up lookups. Especially useful for filters, searches, and ordering 4. Query Optimization Don’t fetch what you don’t need. Use: .only() .defer() .values() Reduce payload = better performance 5. Caching Cache expensive queries or views using Django’s caching framework. Less database hits = massive speed gains Final Thought Good code works. Optimized code scales. Mastering the Django ORM is what separates average developers from high-impact engineers. 💬 Which of these do you use the most? Or what’s your go-to optimization trick? #Django #Python #Backend #WebDevelopment #Performance #SoftwareEngineering

Mastering Django & `django-filter`: Filtering Data Made Easy In the world of web development, the ability to effectively filter and sort data is paramount. Imagine building an e-commerce platform, a social media network, or even a simple blog. Users need to be able to find what they're looking for quickly and easily. This is where data filtering comes into play. Django, a powerful Python web framework, provides a robust solution for this through the `django-filter` package....