Boost RAG Performance with SymRank v0.2.0

Ever typed pip install <library> and wondered where it actually comes from? PyPI is the source from where it reaches to your environment - and I recently tried creating a simple one myself. I was just curious how it works and built a small Python CLI tool called excuse-gen that generates realistic developer excuses inspired by real production issues. from creating pyproject.toml to pushing it live on PyPI, each step was all new thing for me. You can install it with: pip install dev-excuse-gen Building and shipping even a tiny tool teaches you far more than just reading about it. #Python #PyPI #OpenSource #CLI #LearningByBuilding

Running multiple Claude Code tasks across terminals? It's easy to lose track of what needs input and what's already done. You can set up Slack notifications using Claude Code hooks and get pinged when you should. A slack webhook + simple python script + some uv magic ✨. Full setup in the blog post. https://lnkd.in/gzGMeDtu

🚀 Switched from 𝗽𝗶𝗽 to 𝘂𝘃 — and wow, the speed difference is real. If you’re still waiting minutes for Python dependencies to install, it’s time to look at uv. ✅ Installs packages significantly faster than traditional pip ✅ Written in Rust, so it’s blazing fast by default ✅ Handles virtual environments + dependency resolution smoothly ✅ Drop-in replacement for most pip workflows What used to take minutes now takes seconds. Especially useful when: • Setting up new projects • Rebuilding environments frequently • Working with large dependency trees • Command is simple: 𝘂𝘃 𝗽𝗶𝗽 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 -𝗿 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀.𝘁𝘅𝘁 Once you try it, going back to pip feels painfully slow. If you work with Python daily, uv is 100% worth adding to your toolkit 🔥 #Python #DeveloperTools #UV #Pip #Productivity #SoftwareEngineering #DevExperience

🚀 Day 55 of #100DaysOfCode — Counting Characters & Pythonic Efficiency Hey everyone! 👋 Today was all about String Manipulation. The task was to write a function that returns the total number of characters in a given string. While it’s a simple concept, it’s a great exercise to visualize how data is traversed in memory. 👨💻 What I practiced today: ✅ String Iteration: Using a for loop to step through a string character by character. ✅ Counter Logic: Manually incrementing a variable to track the sequence length. ✅ Edge Case Handling: Ensuring the function correctly returns 0 for an empty string "". 📌 Today’s Task: ✔ Given a string s. ✔ Traverse the string and count every character. ✔ Return the final count. 🧠 Key Insight: In my solution today, I manually built a counter (O(n) time). However, in Python, the len() function is the most efficient way to do this. Unlike a manual loop, len() is O(1) (constant time) because Python stores the length of the string as an attribute in memory! ✨ Key Takeaway: Learning the manual logic behind basic tasks is essential for mastering algorithms, but knowing when to use built-in functions like len() is what makes your code professional and performant. #100DaysOfCode #Day55 #Python #CodingJourney #DSA #Strings #CleanCode #LogicBuilding #SoftwareEngineering #Programming

🌟 New Blog Just Published! 🌟 📌 Python Logging Tutorial: Complete Guide for Developers 🚀 📖 You’ve probably leaned on print() to see what your code is doing. In a local script that works, it feels fine. In production, those prints disappear into the void, leaving you blind when something...... 🔗 Read more: https://lnkd.in/g5FXcAFE 🚀✨ #python-logging #logging-module #log-configuration

🚀 Day 6/30 | LeetCode Problem: Move Zeroes (283) Problem: Given an array nums, move all 0s to the end of the array while maintaining the relative order of non-zero elements. The operation must be done in-place. Approach: Traverse the array once Store all non-zero elements in one list Store all zero elements in another list Combine both lists and update the original array This approach keeps the order intact and is easy to understand. Time Complexity: O(n) Space Complexity: O(n) Python Code: class Solution(object): def moveZeroes(self, nums): a = [] b = [] for i in nums: if i == 0: a.append(i) else: b.append(i) nums[:] = b + a Example: Input: [0,1,0,3,12] Output: [1,3,12,0,0] Takeaway: Maintaining order while modifying arrays is a common requirement in real-world problems. 📌 Accepted ✅ | All test cases passed 🔖 Hashtags #LeetCode #30DaysOfLeetCode #Day6 #Python #Arrays #DSA #ProblemSolving #CodingJourney #SoftwareEngineering #TechCommunity

#100DaysOfchallenge-Day-11 – Strengthening Python Foundations 🐍 Today’s focus was on writing flexible and reusable code. 📌 Topics covered: • Functions with multiple arguments • Default parameters • *args for variable-length arguments • Understanding common runtime & syntax errors Learning how Python behaves internally makes debugging easier and code cleaner. 🔗 https:https://lnkd.in/gV9XFn5X Step by step. Building strong basics. #PythonProgramming #100DaysOfCode #Day11 #CodingJourney #Codegnan

Maintaining an open source project with pure Python for maximized portability, I created a tool to filter dependencies for native/compiled code. This client-side utility includes tree visualization, binary detection, deep scan, and aims at locating potential issues for WASM environments. Prototype with Claude/Gemini, iterations for resolving edge cases, and contributions for improving dependency resolution are welcome. Visualize Python dependencies and subprocess calls in a browser: https://lnkd.in/e7Cv8xaB source,#webassembly,#dependency visualization

Day 24 Learning | Python Polymorphism & OOP Concepts 🚀 Today, I explored the concept of Polymorphism in Python, another fundamental pillar of Object-Oriented Programming. I focused on how polymorphism allows the same interface or method name to behave differently based on the object or context. I studied and practiced key forms of polymorphism, including: Method Overriding Method Overloading (using default arguments) Operator Overloading Through hands-on coding examples, I understood how different classes can implement the same method name with different behaviour, enabling flexible and scalable program design. This learning strengthened my understanding of dynamic behaviour in OOP, abstraction, and designing adaptable software components in Python. 🔗 GitHub Repository: https://lnkd.in/g3CrHbUt Consistent learning and implementation are key steps toward becoming a better developer. #Python #PythonLearning #OOP #Polymorphism #HandsOnLearning #CodingPractice #ProgrammingJourney #LearningByDoing #Consistency

The following post draws together the salient themes from my previous posts, in short this is a little bit of python code that has parsed an 67 page pdf, which is then loaded into a local Vector Database using an 8-billion-parameter embedding model with over 4,000 dimensions.  This document is then queried offline as a RAG (Retrieval-Augmented Generation) solution, all of this is achieved by not using any API keys, model subscriptions or any cost per tokens.