Debugging Python Environment Issues with Scoop and PATH Conflicts

Python Mini Project – KBC Style CLI Quiz Game: I recently built a KBC-style quiz game using Python in the Command Line Interface (CLI). The program displays multiple-choice questions, takes user input, checks the answers, and awards prize money for each correct response. This small project helped me practice basic Python concepts and program flow logic while building something interactive. Concepts used in the project: -Lists to store questions and answers -Loops for displaying questions -Conditional statements for checking answers -User input handling Program Flow: Question show ↓ User answer ↓ Correct ? ↓ ↓ Yes No ↓ ↓ Prize + 1000 Game Over ↓ Next Question 🔗 GitHub Repository: https://lnkd.in/guDFVeQs Building small projects like this is helping me improve my logic building, problem-solving skills, and understanding of Python programming. Looking forward to building more projects and learning advanced concepts! #Python #PythonProgramming #CodingJourney #BeginnerProject #CLI #CodeWithHarry #CoderArmy #RohitNegi

🚀 Just put together a handy reference guide on Python’s zipfile module! 📦 Inside this Word doc you’ll find clear, ready‑to‑use code snippets for: ✅ Zipping an entire folder ✅ Extracting ZIP archives ✅ Checking if a file exists ✅ Creating compressed ZIPs (using ZIP_DEFLATED) ✅ Writing text directly into a ZIP file These examples cover the most common file compression tasks – perfect for automating backups, packaging datasets, or simplifying file transfers. Whether you're just starting with Python or you're a seasoned developer, these snippets can save you time and effort. 🐍 Feel free to download, use, and share! Let me know in the comments how you use zipfile in your own projects. 👇 #Python #Automation #Coding #DataEngineering #FileHandling #Zipfile #DeveloperTips

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

While working on one of my projects, I noticed that a widely used structural equation modeling package in Python has not been maintained for a while. Compatibility issues with the new versions of Python along with a few lingering bugs due to outdated formulas were making the package unusable. I have fixed these issues and updated the package to work with modern Python environments. Until the upstream package is updated, you can install the patched fork here: pip install git+https://lnkd.in/gu_EBt4m

📘 Day 17 of my #90DaysPythonChallenge Topic: Lambda, Map, Filter & Reduce Today, I learned how to write cleaner and more efficient Python code using functional programming concepts. 🔹 Practiced lambda functions 🔹 Used map() for transforming data 🔹 Used filter() for selecting elements 🔹 Applied reduce() for aggregation These tools are very powerful for data processing and writing concise Python code. 📂 Practice code available on GitHub: https://lnkd.in/dnNfeh_f #Python #90DaysPythonChallenge #LearningInPublic #CodingJourney #

🚀 Built a Simple Python Pizza Order Program 🍕 As part of my Python learning journey, I built a small console program that calculates the total bill for a pizza order based on size and optional toppings. This project helped me practice: • Variables • User input handling • Conditional logic (if statements) • Nested conditions • Basic program flow The program allows the user to: Select pizza size (Small, Medium, Large) Add optional toppings like pepperoni and extra cheese Automatically calculate the final bill Small projects like this are helping me strengthen my understanding of how program logic works and how user input drives program behavior. GitHub repository: https://lnkd.in/ghDAtPVt Replit live version: https://lnkd.in/gdddMxDG Always learning, one small program at a time. 💻 #Python #CodingJourney #LearningToCode #BeginnerProgrammer #100DaysOfCode

Pip was effective, but uv is 10–100 times faster, and I'm making the switch for good. For anyone who writes Python—even occasionally—this tool can save hours of your time. What is uv? It's a Python package manager built in Rust. In essence, it combines the functionalities of pip, venv, pyenv, and pip-tools into one command. Reasons to switch include: - Installs packages in seconds, not minutes - Eliminates the "forgot to activate the venv" issue - Manages Python versions, removing the need for pyenv - Ensures reproducible installs with lockfiles Before (using pip): python -m venv .venv → pip install requests After (using uv): uv add requests ✅ (that's all it takes) You can try it in just 10 seconds: curl -LsSf https://lnkd.in/gQx3Zj25 | sh Check out the full comparison in the infographic below. #Python #DevTools #uv #Programming #Productivity #SoftwareDevelopment

Now that Substack supports code coloration, I will update the old articles one by one to convert them to the new format, give them some updates, fix typos, etc. The first one getting a refresh is: "Relieving your Python packaging pain" https://lnkd.in/eTsikRTR Now that uv exists, this article is mostly for when you can't use uv since it's a superior solution.

📘 Day 18 of my #90DaysPythonChallenge Focus: Python Foundations for Prompt Engineering Today, I worked on writing clean, modular Python code specifically for Prompt Engineering workflows. 🔹 Built reusable functions for prompt generation 🔹 Used *args and **kwargs for flexible inputs 🔹 Implemented basic decorators for logging and validation 🔹 Structured code into modules for scalability This practice helped me understand how real-world prompt pipelines are designed and maintained in production systems. 📂 Practice code available on GitHub: https://lnkd.in/dnNfeh_f #Python #90DaysPythonChallenge #PromptEngineering #LearningInPublic #CodingJourney

While revisiting Python fundamentals, I implemented a simple Hangman game in Python. The goal was to strengthen my understanding of core programming concepts such as: • Functions and modular program structure • Loops and conditional logic • Managing program state (correct vs missed guesses) • Handling user input and duplicate guesses • Implementing win/lose logic One interesting challenge was detecting the win condition for words with repeated letters (e.g., APPLE). I solved this by comparing the unique letters in the secret word with the letters guessed by the player. Code available on GitHub: https://lnkd.in/gbkT8FAj Small exercises like this are a great way to reinforce programming logic before applying Python to more complex data analysis and modeling problems. #Python #Programming #DataScience #CodingJourney #LearnInPublic