Luís Bárbara’s Post

Why FastAPI is the future of Python backend development Python developers have a lot of choices when it comes to web frameworks, but FastAPI stands out for modern, high-performance applications: ⚡ Blazing fast thanks to async support and Starlette. 🛡 Automatic data validation & type safety with Pydantic. 📄 Instant API documentation with Swagger & ReDoc. 🏗 Scalable and developer-friendly, letting you focus on building features instead of boilerplate. While Django and Flask have their strengths, FastAPI combines speed, simplicity, and modern features, making it perfect for building reliable, efficient, and future-ready APIs. 💡 If you’re building an API today, FastAPI isn’t just a choice—it’s a smart investment for performance and productivity. #FastAPI #Python #BackendDevelopment #APIs #WebDevelopment #Async #ModernPython

I recently completed a URL Shortener web application using Django, and this video shows the project in action 🎥 What this project does: Converts long URLs into short, unique links using Base62 encoding Allows short links to be opened directly from any browser Redirects users to the original website seamlessly Tracks how many times each short link is visited Includes user authentication so links are user-specific Deployed using Gunicorn and Whitenoise Live demo: https://lnkd.in/ggquvJ5r Repo: https://lnkd.in/g-7XwVyM 📌 Tech used: Python | Django | SQLite | Gunicorn | Whitenoise Feedback and suggestions are welcome — especially around scaling, security, or analytics improvements. #DjangoProject #PythonDeveloper #BackendDevelopment #WebApp #LearningByDoing #StudentDeveloper #BuildInPublic

💻 Django Tip: Optimizing Queries When working with related models in Django, always consider using: select_related() → for ForeignKey and OneToOne relationships prefetch_related() → for ManyToMany and reverse relationships Why? Without them, Django can execute N+1 queries, which slows down your app. Using them properly can reduce database hits and make your APIs faster. 🚀 Example: Python # Without optimization books = Book.objects.all() for book in books: print(book.author.name) # Optimized books = Book.objects.select_related("author").all() for book in books: print(book.author.name) Small tweaks like this make a huge difference in backend performance. #Django #Python #BackendDevelopment #WebDevelopment #CodingTips #Performance

💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼 𝗢𝗥𝗠 𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Django’s "exists()" is the most efficient way to check if a queryset returns any records. Instead of fetching objects or counting rows, "exists()" performs a 𝗺𝗶𝗻𝗶𝗺𝗮𝗹, 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗾𝘂𝗲𝗿𝘆 and stops as soon as a match is found. 🔧 𝗨𝘀𝗲 𝗶𝘁 𝗳𝗼𝗿: - Permission checks - Conditional logic - Guard clauses Avoid "len(queryset)" or "queryset.count()" when you only need a yes/no answer. #Django #Python #BackendDevelopment #WebDevelopment #PerformanceOptimization #SoftwareEngineering #CodingTips #FullstackDeveloper

🐍 Django Shell: Your Secret Weapon for Rapid Development Ever find yourself writing throwaway scripts just to test a quick database query or experiment with your models? There's a better way: `python manage.py shell` The Django shell gives you an interactive Python environment with your entire project context loaded. You can: ✅ Test model queries without writing views ✅ Debug complex relationships on the fly ✅ Prototype business logic before implementing ✅ Quickly inspect data without hitting your database GUI Pro tip: Use `shell_plus` from django-extensions for auto-imported models and even better productivity. It's one of those tools that seems simple but saves hours of development time once you make it part of your workflow. What's your favorite Django productivity hack? #Django #Python #WebDevelopment #DjangoTips #BackendDevelopment

Ever feel like coding has to be complicated? 🤔 Here's a simple Python script that can save you hours: import os import shutil # Clean up temporary files def cleantempfiles(): temp_dir = "/tmp" for file in os.listdir(temp_dir): if file.endswith(".tmp"): os.remove(os.path.join(temp_dir, file)) # Run it daily to keep your system fast Small scripts like this can: • Automate boring tasks • Reduce manual errors • Save you time every day What's one repetitive task you'd love to automate? Get more practical tech tips at savvymatthew.com #JavaScript #Python #PHP #Automation #CodingTips #WebDevelopment #WordPress #Scripting #TechTalk, #SavvyMatthew, #ExploreWithMatthew, #DigitalAdventures, #ModernTechLife, #CreativeJourneys, #TravelAndTech, #MotoVibes, #SmartLiving, #SavvyStories

🐍📰 Build a Django Front End With Bulma – Part 2 In the second part of this tutorial series, you'll continue to build out a social network with Django. You'll learn how to set up routing, views, and templates for your app #python

🚀 Why Python + Django = Perfect Combo for Backend Development! Following up on yesterday's post about Building the Future with Django, I wanted to share why this combination is so powerful: ✅ Clean & Readable Code - Python's syntax makes development faster and maintainable ✅ Built-in Security - Django handles authentication, SQL injection prevention automatically   ✅ Scalability - From MVPs to enterprise-level applications ✅ Rich Ecosystem - Thousands of packages for any functionality you need ✅ ORM Power - Database operations without writing SQL Currently working on building AI-powered applications using Django + FastAPI, and the productivity is incredible! What's your favorite Django feature? Drop a comment! 👇 #Python #Django #WebDevelopment #BackendDevelopment #Programming #SoftwareEngineering #DjangoREST #FastAPI #TechStack

Speed Up Your Dockerized Django Projects with Python Wheels! If you’re building Django/DRF apps with Docker, you’ve probably felt the pain of slow package installations. That’s where Python wheels (.whl) come to the rescue. Why wheels matter: 1.Pre-Built & Ready-to-Install Wheel files are binary packages, so Python doesn’t need to compile them. Install your packages lightning fast. 2. Reliable Builds Packages with C extensions (like numpy, Pillow) often fail to compile from source. Wheels avoid these issues by providing a ready-to-use version. 3. Docker-Friendly Build all your wheels first: pip wheel --no-cache-dir --no-deps --wheel-dir /app/wheels -r requirements.txt Then install from them inside the container: pip install --no-index --find-links=/app/wheels -r requirements.txt

I really like this comparison. There’s no universal “best” 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 — the right choice always depends on what you’re trying to build. If the goal is a structured, data-heavy web application with a built-in admin and lots of features out of the box, 𝐃𝐣𝐚𝐧𝐠𝐨 makes a lot of sense. If the focus is high-performance APIs, async workloads, or microservices, 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 is often a better fit. Good reminder that context matters more than trends. Nice overview by Codism LLC #Python #Django #FastAPI #SoftwareArchitecture #Backend