Zeeshan Modi’s Post

Killpy Launches Unified CLI for Python Environment Cleanup 📌 Killpy revolutionizes Python dev cleanup by unifying environment deletion across 11 package managers - from Conda to Pipenv - in one CLI. It smartly targets obsolete artifacts while sparing active setups, slashing disk bloat with zero-risk automation. Perfect for devs drowning in 10–40GB of stale virtual environments. 🔗 Read more: https://lnkd.in/d4n_iGqk #Killpy #Python #Cli #Virtualenvironment #Packagemanager

🚀 Shemul v1.0.1 is live from March 20, 2026 Your favorite project-aware CLI for Python just got smoother ⚙️ Organize all your repetitive commands in one place with shemul.json and run them with a clean, simple CLI 💻✨ No more messy scripts. No more forgotten commands. 📦 Install / Update: 👉 https://lnkd.in/gXhn-iSE 🌐 Learn more: 👉 https://lnkd.in/g58VTVDv #Shemul #Python #CLI #DevTools #OpenSource #Automation #STechBD

LiteLLLM [compromised] - Python library and proxy server that makes applications Llm-agnostic - Was a catchy phrase that I thought was going to help with model switching efficiently instead of custom code... until... it was found out that, it contains litellm_init.pth with base64 encoded instructions to send all the credentials it can find to remote server + self-replicate!! Another reason why you don't want to just blindly follow the "Agent" hype with a a flashy site, PiP install and use it in prod. . https://lnkd.in/g5NDyj8C

Mac Scraper: Python Based System Scraper built for managing storage on MacOS and finding files quickly based on extension to emulate Global Discovery and Disk Sweeping on a high-level GUI

🚀 Day 3/100: Mastering Logic Flow & Decision Making! 🏝️ The #100DaysOfCode journey is heating up! Today was all about Control Flow and Conditional Logic in Python. I built a "Treasure Island" text adventure game to practice: ✅ Nested if/elif/else statements ✅ Complex logical operators (AND / OR) ✅ Managing user input edge cases Understanding branching logic is a massive step toward building robust automation scripts and handling real-world data scenarios. ⚔️ Check out my code here: 🔗 https://lnkd.in/gxyRjpGh Onward to Day 4! 🚀 #Python #100DaysOfCode #LogicBuilding #Programming #DevLife #GrowthMindset #CodeNewbie

No handshake, no stream—just datagrams. This UDP example uses sendto() and recvfrom() to exchange a single message on a connectionless socket. Each call sends/receives one packet along with the sender address, illustrating UDP’s simple message-based semantics.#Python #UDP #SocketProgramming #Networking

Learn the basics of Wave Print in Python with ease Discover how Wave Print in Python is used to display text with decorative borders Understand the concept of Wave Print and its applications in the IT industry Read the full article 👉 https://lnkd.in/d4KUHA6J #PythonForBeginners #ITJobsearch #WebDevelopment #LearnPython #ProgrammingTutorials #TechLab Code. Learn. Build. — TechLab by Neeraj

Built a Django performance layer using PyO3 + Rayon. I tried to replace DRF's serialization loop with Rust. Big wins, but the Python↔Rust bridge is still the main cost. Would love feedback from people who built similar bridges. https://lnkd.in/dS_k8UGi

Day 10 of my Python journey Missed the class, but caught up stronger Today’s focus: Lists & Real-world Logic ✔ Built a mini time converter (24hr → 12hr format) ✔ Understood list basics & nested indexing ✔ Explored list methods (append, extend, remove, pop) ✔ Learned the power of mutable data structures Big takeaway: Lists are not just storage — they’re powerful tools for solving real problems. Code link : https://lnkd.in/gTjGZd5X Consistency continues 🚀 #Python #100DaysOfCode #CodingJourney #FullStackDeveloper Codegnan Saketh Kallepu

🚀 Python 3.13+ is a game-changer: Free-threading (no-GIL mode) and experimental JIT boost multithreaded code by 2-5x! Speed gains are real for CPU-heavy tasks. Tested a simple parallel sum script—3x faster than 3.12. Python 3.15 stabilizes JIT fully. Here’s the snippet: # Run with: python3.13 -X free-threading import threading def compute(n): return sum(i*i for i in range(n)) threads = [threading.Thread(target=compute, args=(10**7,)) for _ in range(4)] for t in threads: t.start() for t in threads: t.join() print("Done!") Who’s upgraded? Share your benchmarks below! 👇 #Python #Python313 #Programming