Automate Repetitive Tasks with Python

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

Headline: Which Python Framework Should You Choose? 🤔 In the world of web development, Flask, Django, and FastAPI are the top contenders, but each serves a different purpose. If you are confused about which one fits your project best, this breakdown is for you! 🚀 The Quick Breakdown: 🟢 Flask: Perfect for those who want simplicity and total control. It's a lightweight "micro-framework" that lets you build your way. 🔵 Django: The "batteries-included" powerhouse. Best for large-scale, secure applications where you need everything built-in. ⚡ FastAPI: The modern speedster. Designed for high-performance APIs with native support for asynchronous programming. Which one is your go-to framework for 2026? Let me know in the comments! 👇 #️⃣ Hashtags High Reach: #Python #WebDevelopment #SoftwareEngineering #Flask #Django #FastAPI #BackendDeveloper #CodingCommunity #ProgrammingTips #TechTrends2026

🖥️ Automate HTML Data Extraction with Python & PyQt I recently built a desktop application that makes parsing HTML files simple and efficient. With a PyQt interface, users can select HTML and Excel files, while Selenium and BeautifulSoup extract structured data automatically. The results are saved directly into Excel (XLSX), ready for analysis or reporting. This tool saves hours of manual work, reduces errors, and makes web-based data accessible to everyone — no coding required. If you’re looking to automate HTML data extraction or streamline your workflow, feel free to reach out! 🔗 More projects: https://lnkd.in/dpiy69BF #Python #Automation #PyQt #WebScraping #ExcelAutomation #DataProcessing #TechTools #Portfolio

Code the Web. Power It with Python. HTML gives structure. CSS gives style. JavaScript gives interaction. But Python? Python gives logic, automation, data, and intelligence. This is where the web stops being static and starts becoming smart: • APIs that actually scale • AI features that solve real problems • Backends that connect everything together I stopped asking “Which language should I learn next?” and started asking “What can I build with what I know?” That shift changed everything. If you’re learning web development: 👉 Don’t chase tools 👉 Build projects 👉 Let Python power the web you create What’s one thing you’ve built (or want to build) with Python + Web? Drop it in the comments 👇

🧠 Hoisting - not a programming universal. Look at the following error of two different snippet in attached image👇 In JavaScript, behavior differs based on how variables are declared. Variables declared with var are hoisted and initialized with undefined, so accessing them before declaration does not throw an error. Variables declared with let and const are also hoisted but remain uninitialized in the Temporal Dead Zone, which is why accessing them before declaration throws a ReferenceError. In Python, variable declarations are not hoisted. The interpreter executes code line by line, from top to bottom. When print(message) runs, the variable message has not been created yet, so Python raises a NameError. Shortly: Python binds names only when their definition executes, while js hoists declarations and knows names before execution begin. 👉 Same intent, same flow, same mistake — different outcome due to different working behavior. #programming #Programming #JavaScript #javascript #Python #python #ProgrammingTips #learning #learn #tips

𝗡𝗲𝘄 𝗦𝘁𝗮𝗰𝗸𝗕𝗹𝗶𝗍𝗭 𝗣𝗿𝗼𝗷𝗲𝗰𝗍 I created a new project on StackBlitz. This project includes: - HTML - JS - .gitignore - Prettier - Python - CSS - Config files for ESLint and Prettier You can edit the HTML file to make your own webpages. This project helps you set up a webpage with an empty JS file. Source: https://lnkd.in/dmDrbFH7

💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼 𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Django’s "bulk_create()" can insert 𝗵𝘂𝗻𝗱𝗿𝗲𝗱𝘀 𝗼𝗿 𝘁𝗵𝗼𝘂𝘀𝗮𝗻𝗱𝘀 𝗼𝗳 𝗿𝗲𝗰𝗼𝗿𝗱𝘀 𝗶𝗻 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗾𝘂𝗲𝗿𝘆, making it far faster than saving objects one by one. Why it’s powerful: - Drastically reduces database round trips - Ideal for imports, seeds, and background jobs ⚠️ Important caveat: "bulk_create()" 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝗰𝗮𝗹𝗹 "save()" and 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝘁𝗿𝗶𝗴𝗴𝗲𝗿 𝘀𝗶𝗴𝗻𝗮𝗹𝘀, so avoid it when model logic or hooks are required. Use it wisely for massive performance gains. #Django #Python #BackendDevelopment #WebDevelopment #PerformanceOptimization #SoftwareEngineering #CodingTips #FullstackDeveloper

FastAPI feels like the default choice for new Python backend projects now. I’ve noticed more teams and tutorials standardising on it, and it’s easy to see why: the “pit of success” is real. You can go from a basic REST endpoint to something that’s structured and testable without a lot of boilerplate, and the performance story doesn’t require rewriting everything in a different language. For a junior developer, that simplicity matters: fewer moving parts means I can spend more time thinking about data models, validation, and API design instead of fighting the framework. What’s been your biggest reason for adopting (or avoiding) FastAPI? #Python #Backend

$ gemini > write CLI apps named doconvrt in c++ python and julia and golang that support bi-directinal document convert to and from markdown and latex and pdf and html and plain text and a makefile to build static executable binaries of each app impl ✦ This is an extensive request that I'll tackle in two main parts. Part 1: `doconvrt` CLI Applications I will write a new command-line application named doconvrt in four different languages: C++, Python, Julia, and Go. Each version of the app will have the same interface: 1 ./doconvrt <input-file> -o <output-file>  It will use pandoc behind the scenes to perform bi-directional conversions between Markdown, LaTeX, PDF, HTML, and plain text, inferring the formats from your file extensions. Part 2: Enhanced `Makefile`  I will replace the existing Makefile with a new one designed to build static, executable binaries of each doconvrt application. The new Makefile will include: * `all`: A default target to build all four versions of the app (doconvrt_cpp, doconvrt_go, etc.). * `install_deps`: A target to help you install the necessary compilers and libraries for each language (like pyinstaller for Python and PackageCompiler for Julia).

🐍 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