Automating Manual Tasks with Python

New article: Building Your First Python Backend API (Flask or FastAPI) From zero to: • Running backend server • Real API endpoints • Frontend → backend communication Practical, minimal, and beginner-friendly. https://lnkd.in/d3Mvrfep #Python #BackendDevelopment #APIs #FullStackPython #WebDevelopment

🧠 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

A small Python habit that saves me time on real projects: Write code for clarity first, not cleverness. • Prefer readable functions over one-liners • Handle exceptions explicitly never hide errors • Use virtual environments, always • Log what matters, not everything • Automate repetitive tasks instead of tolerating them Python shines when you let simplicity do the heavy lifting. Maintainable code today beats “smart” code you’ll debug later. #Python #BackendDevelopment #SoftwareEngineering #CleanCode #DeveloperHabits #Automation

One of the most common Python mistakes I still see, especially in growing developers, is misunderstanding variable scope. It leads to code that runs but behaves unpredictably. And those are the hardest bugs to debug. Once I truly understood how Python handles local, global, and nonlocal variables, my code became easier to reason about and my debugging time dropped significantly. I wrote a short, practical guide explaining variable scope the way I wish it had been explained to me, with real examples. 👉 Read it here: https://lnkd.in/djp6HJdD #Python #LearnPython #SoftwareEngineering #DeveloperGrowth

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

Why use a website with 10 ads when you can write 50 lines of Python? 🛠️ After building my YouTube downloader, I realized I needed something just as fast for X (Twitter). So, I spent today building a dedicated X Video Downloader in Python. 🐦🐍 This version feels even smoother because I integrated: * Tkinter GUI: Using filedialog so I can visually pick my download folder instead of typing paths. * Dynamic Scaling: Wrote a custom function to convert bytes into readable MB/GB formats so I know exactly what I’m downloading. * FFmpeg Remuxing: Ensuring every video is saved in a perfect MP4 format with metadata intact. It’s amazing how much you can reuse logic across projects while still finding new ways to optimize the workflow. One more tool for the collection! What’s the last "quick fix" script you wrote? 💻✨ #Python #Automation #XDownloader #BuildInPublic

Top 20 Python's Built-in Functions Written by $DiligentTECH💀⚔️ Today, we are discussing the 20 most impactful built-in functions—some classic, some brand new—that will turn your scripts into sleek, professional masterpieces. 1: The Wave of Modern Logic In the recent evolution from Python 3.10 to 3.13, the language didn't just get faster; it got smarter. We are starting with the "freshmen" of the built-in world. https://lnkd.in/dp63AuWS 1. aiter() (Added 3.10): The gateway to asynchronous iteration. Think of it as the iter() for the "fast and furious" async world. 2. anext() (Added 3.10): The partner to aiter(). It fetches the next item from an asynchronous iterator. 3. breakpoint(): Your "emergency brake." It drops you straight into the debugger without needing to import pdb manually.

Built a GPA Calculator as a practice project using Python and Flask, focused on implementing real-world academic grading logic. 🔧 Key features: Grade-based GPA calculation (auto point mapping) Clean and modern web UI Flask backend with Jinja2 templates User input handling and validation This project helped reinforce concepts like backend–frontend integration, data processing, and UI structuring while practicing Python web development. More improvements and features planned 🚀 #Python #Flask #WebDevelopment #PracticeProject #SoftwareDevelopment #LearningInPublic #PythonProjects #FullStackDevelopment

When using Claude for code generation, I have noticed that the model tends to jump into tasks without fully understanding the problem (reminiscent of my early career days). I have explicitly configured Claude to clarify requirements before tackling anything substantial. The prompt I am using: ─── If asked for information or small help (like bash commands), give answers directly. But if asked for a larger task (like generating python/js/html code), rewrite my requirement in a structured manner. Then get it reviewed by me. Ask clarification when required as a direct numbered list (without sub-bullets). Execute the larger tasks only after my confirmation. Don't jump into lengthy work without approval. ─── #llm #claude #humanintheloop #dontwastetokens

Is your code starting to look like a plate of spaghetti? 🍝 We’ve all been there. You start a project, and the code works. But as you add features, it becomes a tangled mess where fixing one thing breaks two others. This is why you need to master Object-Oriented Programming (OOP). In my latest video, I break down the most intimidating concept for beginners—Classes & Objects—using a simple analogy: Building a House. 🏠 We cover: 🔹 The Blueprint (Class): The design plan that defines the structure. 🔹 The House (Object): The actual thing you build from the plan. 🔹 The Constructor: The "General Contractor" that builds unique houses (e.g., different addresses). 🔹 Methods: Giving your objects behaviors (like ringing a doorbell! 🔔). Stop writing scripts that break. Start building software that scales. Watch the full breakdown here: https://lnkd.in/d9injenm #Python #SoftwareEngineering #CleanCode #OOP #ProgrammingBasics #Developers