Python Workout Tracker with GUI

Give your agent access to a high-speed, secure Python interpreter as an MCP tool. This is far more secure than having the agent use the system Python, and far faster than spinning a Docker to run the agent's code securely. Give it a whirl! Thanks to Pydantic for creating Monty, and buyer beware - Monty is still experimental...

Agents like to write Python code to accomplish internal tasks. The challenge is securing their runs and making those runs fast. You've really only had two choices here; run them on a local version of Python (scary) or spin up a Docker and run them in that (slow). And then Pydantic created Monty (https://lnkd.in/e_9fNWsy), a purpose built Python interpreter, written in Rust, specifically for agent Python code! Pydantic eventually intends for this to be included directly in agents, but for now we have created a plugin so that you can give your agent all the goodness of Monty as an MCP tool. You can find the plugin here - https://lnkd.in/ekaK32W7

🚀 Python + Android = Powerful Combo for Real-World Apps In this tutorial, you’ll learn how to integrate Python with Android using the Chaquopy library and apply real-time image filters with slider controls. We’ll implement grayscale intensity control, blur, sharpen, brightness adjustment, and free-angle image rotation — all powered by Python’s Pillow library and displayed in Jetpack Compose. 🔍 What you’ll learn: • How to integrate Chaquopy in Android • How to process images using Python in Android • Apply filters with adjustable intensity • Rotate images in any direction • Build a modern UI with Jetpack Compose • Pass data between Kotlin and Python This is a complete beginner-friendly project and a great introduction to combining Android development with Python for real-world apps. 🛠 Tech used: Android Studio • Kotlin • Jetpack Compose • Chaquopy • Python • Pillow 💻 Youtube link: https://lnkd.in/dHcJ3TG5 If you found this helpful, don’t forget to like, share, and follow for more Android + Python tutorials. #AndroidDevelopment #PythonInAndroid #Chaquopy #JetpackCompose #ImageProcessing #AndroidTutorials #AndroidAppDevelopment #Programming #Python

🐍 Python pass in Functions — Do Nothing (On Purpose) 🤫 Sometimes you need a function but don’t want to write its logic yet. Python doesn’t allow empty blocks — so we use pass 👇 ✅ Example: Empty Function def my_function(): pass ✔️ No error ✔️ Function does nothing ✔️ Useful as a placeholder 💡 Why pass is needed? Without it, Python will give an error ❌ def my_function(): 👉 This causes an IndentationError ✅ Real Example def login_system(): pass # Will implement later 👉 Program runs, but function has no behavior yet 🔥 Where pass is commonly used • When planning code structure • During development/testing • In empty classes, loops, or conditions • As a temporary placeholder 🔑 Simple Meaning: pass = “Skip for now, do nothing” 🚀 Small keyword, big usefulness — especially for clean development workflows. #Python #Coding #Programming #LearnToCode #Developer

Quick Python question: Why does this happen? A variable works perfectly inside a function… but suddenly behaves differently outside of it. For many developers, this is where Python variable scope becomes confusing. Understanding how Python handles local, global, and nonlocal variables can eliminate a surprising number of bugs and make your code much easier to reason about. I wrote a short guide that explains the concept clearly with practical examples. 👉 https://lnkd.in/dY8az6hc If you're working with Python and want to strengthen your fundamentals, this is a concept worth mastering. #Python #Programming #SoftwareDevelopment #LearnPython #CodingTips

Built a Number Guessing Game in Python and terribly failed at guessing the number haha! A for the effort tho. This project generates a random number between 1 and 100 using Python’s built-in random module and allows the user to guess the number based on selected difficulty (Easy – 10 attempts | Hard – 5 attempts). I used the concept of scope (local and global scope) to build this program. What seems like a simple program actually requires clear logical thinking and proper flow control. Projects like this are helping me build strong fundamentals in Python and problem-solving. GitHub repository link attached below https://lnkd.in/giZaNqJh

I’ll admit it: early in my Python journey, I spent hours debugging code that looked fine. Functions returning the wrong value, variables mysteriously “disappearing,” and weird side effects… all because I didn’t fully understand Python variable scope. Once I got it, my code became cleaner, easier to debug, and way more predictable. I turned that hard-earned lesson into a short, practical guide that walks you through local, global, and nonlocal variables with real examples. 👉 Check it out here: https://lnkd.in/djp6HJdD If you’re serious about improving your Python fundamentals, this guide is a simple way to save hours of frustration. #Python #LearnPython #CodingTips

Built a simple Python CLI To-Do List application that allows adding, viewing, and removing tasks with file-based persistence. This project helped me practice Python lists, file handling, and basic CLI interaction. GitHub: https://lnkd.in/ggigJvp9

🚀 Python 3.14 — Back to the Interpreter. Back to the Basics. Today I went back to where everything starts: An Informal Introduction to Python. https://lnkd.in/d4NN7cmG # Launch Python 3.14 explicitly (Windows launcher) C:\Users\John> py -3.14 # This is a comment → ignored by Python # Remember. This is a comment. # This is NOT a comment because it's inside quotes text = "# This is not a comment." # Addition 7 + 4 # Subtraction 50 - 37 # Order of operations (multiplication first) (100 - 5 * 7) # True division → float 17 / 3 # Floor division → integer 17 // 3 # Modulo → remainder 17 % 3 # Exponentiation 2 ** 10 # Store resolution values width = 1920 height = 1080 # Calculate total pixels (Full HD) width * height 💥 Fail Fast # Access undefined variable size → NameError 🔁 REPL Superpower: _ # `_` holds the last result in interactive mode width - _ 🎯 My Take Deep systems aren’t built on complexity. They’re built on mastery of fundamentals. Whether you’re building: A Django backend A distributed system An AI-powered application It all starts here — with clean thinking. “If you want to fly high, take a deep dive.” #Python #Django #Backend #SoftwareDevelopment #DeepDive

Here Tryying And Test Your Logic .... Python code 👍 try: x = 20 if x == 4 * 5: print("Correct Value" + x) else: print("Wrong Value") except: print("Error Found") output Commented pls 🙂