M Heera Shanker’s Post

Tackling Python string immutability! 🐍 I just finished the 'Mutations' challenge on HackerRank. This is a great exercise for understanding how Python handles data types in memory. How it works: In Python, strings are immutable, meaning you cannot change a character at a specific index directly. To solve this, I converted the string into a list, updated the character at the desired position, and then used .join() to merge it back into a single string. This concept of "convert-modify-rejoin" is a standard practice for efficient string manipulation in both Data Science and DevOps automation scripts. Check out the code in my Gravitycodes repo: 🔗 https://lnkd.in/gdb_-RSD #Python #Coding #Gravitycodes #HackerRank #ProblemSolving #SoftwareEngineering

WOW. Just WOW. I think Marimo is a real shift in how we think about Python notebooks. Compared to Jupyter... this feels like "wait, why didn’t we have this all along?!" The killer part for me: * The notebook is just a Python or Markdown file. YES. Finally.  Real Git workflows. Clean diffs. Proper code reviews. No more JSON nightmares. * Reactive execution - everything stays in sync automatically. No hidden state. No "run all and pray". * It actually feels like building a real application, not a fragile scratchpad. This is huge for data engineers and Python developers: You can finally treat notebooks like real code. Honestly, this might be the first notebook tool that I would feel comfortable putting into a serious, production-like workflow. If you're working with data, pipelines, experimentation, or even just using Python code here and there - you need to see this! Mind blown. Here is a demo of some advanced techniques. Their channel is full of other demos and intros. https://lnkd.in/dkT6c4KZ #Python #DataScience #Marimo #DataAnalysis #MachineLearning #Productivity #JupiterNotebook #DataEngineering  #DataViz

Most data engines serialize data across process boundaries every time a Python User-Defined Function runs. Think Spark shipping rows to a separate Python process and back. Long ago, we eliminated that boundary entirely in Sail. Rust + PyO3 + Arrow, same process, zero copy.

Data visualization using glumpy #machinelearning #datascience #datavisualization #pythonlibrary #glumpy Glumpy is a python library for scientific visualization that is both fast, scalable and beautiful. Glumpy offers an intuitive interface between numpy and modern OpenGL. https://lnkd.in/gAJiqZd7

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

TeamPCP backdoored litellm Python package versions 1.82.7 and 1.82.8 via a likely Trivy CI/CD compromise. Malicious code harvests credentials, enables Kubernetes lateral movement, and installs a persistent systemd backdoor. #SupplyChain #PythonSecurity ➡️ https://ift.tt/hcY8Ck2

Just open-sourced Traceloom: a Python decorator that automatically traces DataFrame lineage across your pipeline and visualizes it as an interactive graph: https://lnkd.in/ebPUc6Qk

If your team uses Python packages that depend on LiteLLM, it's worth 10 seconds to check if you were impacted by Monday's supply chain attack: https://lnkd.in/eC8NPAeA

If you're not automating your daily workflows in 2026, you're missing out on massive time savings. 🛑⏳ Python has always been the king of automation, but the libraries leading the charge this year are taking things to a whole new level. From simple task automation to complex orchestration, there’s a modern tool for exactly what you need. 🛠️✨ Curious about which Python libraries you should be adding to your tech stack right now? I found a great guide that ranks and reviews the best options available today. 🔗 The link is in the first comment! Let me know what tasks you are automating this year. #WorkflowAutomation #PythonCoding #TechTrends #ProductivityHacks #SoftwareEngineering #Python