uv vs pip: Python Package Management Comparison

🚀 Building My First Dev Memory System + Python Quiz Engine Today I continued working on my Python Quiz Engine project and started building something new — a personal developer cheat system. This system is designed to help me remember core programming concepts, Git commands, and project patterns without relying on memory alone. 🧠 What I worked on today Improved my Python Quiz Engine Learned how to structure JSON-based question systems Fixed real Git issues (merge conflicts, push/pull errors) Started building a personal “Dev Cheat System” for faster learning ⚙️ What I learned Git workflow: add → commit → pull → push How real projects are structured in folders How to separate logic (Python) from data (JSON) Why developers use external notes and cheat systems 💡 Key insight I realized that programming is not about memorizing everything — it is about building systems that help you remember and reuse knowledge efficiently. 🚧 Next steps Expand quiz engine (50–100 questions) Improve difficulty system Build full dev cheat system repo Continue learning Git through real projects

🐍📰 Integration Testing with pyVows and Django We will continue in this final article of the three part series to explore how pyVows can be used for integration testing django and testing of django models #python

VSCode workspace is a game changer! If you're writing Python codes for different versions (2.* and 3.*), then you should try the workspace in VSCode. Basically with workspace, you can define/set which CPython version to use when you click the play/run button in VSCode. This is very useful in cases where you might be trying out a logic in Python 2 and also on Python 3, or when you're migrating either upwards (from 2 to 3) or downwards (from 3 to 2), and since it's on the same IDE, the experience is really enjoyable. This also works on the same major version, so maybe you have Python 2.2 and 2.7, or 3.10 and 3.13; and it's not limited to just 2, you can have more. First time I tried it, had me smiling :) cause I work on different versions and it's not fun going to console and manually typing which python version to run on which folder --- (side note: python launcher is a great tool, but having an IDE that can support multiple versions seamlessly is just another level of ease). I really liked it, try it and see for yourself ;) #vscode #workspace #dcm #python

🐍 Python Developer Nuggets — Day 17 Retries in APIs Why do APIs fail even when everything looks correct? Because failures happen… and your system doesn’t retry smartly. The problem: Request fails once and stops User sees an error Even though it might have worked on retry The solution: Retry the request Add delay between retries Limit number of retries request = call_api() # retried on failure What changes: First attempt → may fail Retry → succeeds Better user experience Fewer visible failures Don’t retry everything Retry only when: Retry when: Network issues Timeout Temporary failures Don’t retry when: Wrong input Validation errors Golden rule: Retry only when failure is temporary Retry turns small failures into success #Python #Django #BackendEngineering #SystemDesign #CleanCode #Performance #DeveloperTips

The Model Context Protocol, or MCP, has changed how LLMs connect with data and tools. It can expose data as resources, provide actions through tools, and define prompts that guide how the model interacts with data or users. In this guide, Manish teaches you how to build your own MCP server using the FastMCP Python framework. https://lnkd.in/gCwmUgr5

🚀 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

Docker tip that every Python developer should know: 🐳 Always use multi-stage builds for production Python images. Stage 1 (builder): Install all deps, compile extensions Stage 2 (runtime): Copy only what you need Result: My AI agent image went from 1.2GB to 180MB. Smaller images mean faster deploys and smaller attack surface. Bonus: combine with `uv` instead of pip for 10x faster dependency resolution. What Docker optimization has saved you the most time? #Docker #Python #DevOps #CloudNative #BackendDev

Learn Django Rest Framework to build basic APIs with CRUD operations. Discover how to implement filtering, sorting, and basic authentication. Ideal for developers seeking to create efficient and secure applications using Python's powerful frameworks.

🚀 Day 4: Control Flow in Python (if / else) Control flow allows a program to make decisions based on conditions. In Python, we use if, elif, and else statements to control the flow of execution. 🔹 Basic Syntax: if condition:     # code block elif condition:     # code block else:     # code block 💡 Example: age = 18 if age >= 18:     print("You are eligible to vote") else:     print("You are not eligible") 🔹 Key Points: ✔ Conditions return True or False ✔ Indentation is important in Python ✔ Multiple conditions can be handled using elif 📌 Why it matters? Control flow is the backbone of decision-making in programming. From login systems to real-world applications, everything depends on conditions. Mastering control flow helps you write smarter and more dynamic programs. 📈 Learning step by step, building strong fundamentals. #Python #Programming #Coding #Developers #Backend #Learning #ControlFlow #Django

Excited to share proxyml, an open source Python SDK I've been building for privacy-preserving model explainability. Most XAI tools require sending your data somewhere; proxyml doesn't. Your training data never leaves your environment. pip install proxyml to try it out, and star the repo if you want to follow along as the server-side API comes online. https://lnkd.in/gACWJNxd