Building Flask App with Python

One thing I’ve learned while working with Python recently really stood out to me 👇🏾 In Python, capitalization matters a lot. If you define something in uppercase and later try to use it in lowercase, you’ll likely run into an error. But in HTML (and sometimes even in React), things are more flexible—especially with tags, where capitalization doesn’t usually break your code. This made me realize how important it is to pay attention to detail depending on the language you're using. Every technology has its own rules, and understanding them makes you a better developer. Small lessons like this are part of the journey 🚀 #Python #React #HTML #WebDevelopment #LearningJourney #100DaysOfCode

𝗙𝗹𝗮𝘀𝗸 𝗧𝗿𝗲𝗻𝗱𝘀 𝗮𝗻𝗱 𝗙𝘂𝘁𝘂𝗿𝗲 Flask is a micro web framework written in Python. It has a minimalist structure, giving developers flexibility to shape their applications as they want. You can use Flask to build your web applications. It is simple and easy to use. Source: https://lnkd.in/g2hRk_BN

The Most Important Thing Most Users Get Wrong Skills are NOT executable code. They do not run Python or JavaScript. There is no HTTP server. There is no function calling. There is no algorithm deciding which skill to use. A Skill is a prompt template a specialized set of instructions stored in a markdown file that gets injected into Claude’s conversation context and modifies what Claude is allowed to do. This single fact explains everything about both the power and the vulnerability of the Skills system.

5 mistakes killing your React, .NET & Python code — and how to fix them 👇 Most devs learn these the hard way. I made this so you don't have to. Swipe through for tips on: → React re-renders that tank your app's performance → EF Core N+1 queries you probably have in production right now → Writing Python that actually looks like Python → The frontend-backend contract nobody talks about → How I use AI tools to ship faster in 2026 Save this post. You'll want to come back to it. If this was useful, follow me for more full-stack tips every week. What's your biggest dev tip? Drop it in the comments 👇 #ReactJS #DotNet #CSharp #Python #FullStackDevelopment #WebDevelopment #SoftwareEngineering #Programming #TechTips #AITools #CursorAI #DeveloperLife #CodeQuality #BackendDevelopment #FrontendDevelopment

🚀 One thing Django is teaching me: Think in flows, not just code. I used to focus on: “Is my code correct?” Now I ask: 👉 What happens step by step? Request → URL → View → Serializer → Database → Response Seeing this flow clearly made debugging easier, errors less confusing, and backend way less random. Backend development is less about writing code and more about understanding how things connect. What’s a concept that changed how you code? #Django #BackendDevelopment #Python #LearningInPublic #WebDev

🚀 Just Built My First API Integration Project in Python! Today I worked on integrating a live Quotes API using Python and the requests library. GITHUB Repo Link:- https://lnkd.in/gdx-b94v The project fetches random motivational quotes from an online API and displays them in real-time. 💡 Key learnings from this project: How to work with APIs and endpoints Handling JSON responses in Python Using response.raise_for_status() for error handling Writing clean exception handling with try-except Saving API data into a file with timestamps 📌 Built Features: Fetch random quotes from API Display quote & author in terminal Save quotes in a text file for future use This small project helped me understand how real-world applications communicate with external services. Next step: Building a GUI-based Quote Generator App 🚀 #Python #APIs #BeginnerProjects #CodingJourney #100DaysOfCode #Developers #LearningByDoing

I’ve been exploring Python for the past few days. Since I already work with JavaScript, one question kept bothering me: Why does Python always require a virtual environment, while Node.js doesn’t? After digging deeper, here’s what I understood: In Python, we use virtual environments to isolate dependencies. Each project gets its own set of libraries, which avoids version conflicts across projects. Without this, managing packages globally would quickly become messy. In contrast, Node.js uses a different approach. It installs dependencies locally inside the project (node_modules). It also allows nested dependencies, meaning different packages can depend on different versions of the same library. This flexibility comes with a trade-off: → Large node_modules folders → Duplicate packages → The infamous “node_modules hell” So the difference is not that Node.js doesn’t solve the problem — it just solves it in a different way than Python. Key takeaway: Both ecosystems handle dependency management differently: Python → isolation via virtual environments Node.js → local + nested dependency system Understanding these differences helps you make better decisions when switching between ecosystems. If you’re a developer who likes going deeper into concepts, this is worth exploring. #Python #JavaScript #WebDevelopment #Backend #LearningInPublic

Learn Python web development with our comprehensive guide, covering setting up a development environment, choosing a framework, and building a simple web application with Python https://lnkd.in/gTDFTgpV #PythonWebDevelopment Read the full article https://lnkd.in/gTDFTgpV

Getting an #MCP server up and running doesn’t have to be complicated. This walkthrough shows how to build a simple #MCPserver in Python and host it in the Obot MCP Gateway, so you can understand how everything connects without getting lost in complexity. Read more on our blog: