Optimizing Sliding Window Algorithms with Dynamic Expansion

Visualizing Multithreading: From Race Conditions to Thread Safety 🧵💻 I’ve always believed that the best way to master complex Operating System concepts is to build them from scratch. I recently developed a Multithreading Task Manager in Python to simulate how modern OSs handle concurrent tasks. Key features I implemented: ✅ Thread Lifecycle Simulation: Visualizing threads moving from New → Ready → Running → Terminated. ✅ Race Condition Demo: Showing how data corruption occurs without proper locking mechanisms. ✅ Mutex Locks: Using threading.Lock() to ensure critical sections are protected. ✅ Producer-Consumer Pattern: Implementing a thread-safe Task Queue. Building this helped me bridge the gap between theoretical OS concepts and practical, thread-safe Python code. Check out the demo below! 👇 #Python #Multithreading #OperatingSystems #ComputerScience #SoftwareEngineering #BackendDevelopment #Concurrency

Just created my new tool and named it "ZIGBACK" for obvious reasons. It's a small red-team style experiment: dynamically generating a Zig-based reverse shell via Python and compiling it in real time. Chose Zig specifically for its low-level control, minimal runtime footprint, and ability to produce lean, dependency-free binaries ,which makes it very useful when you want to precisely understand how detection engines react to specific behaviors. Tested it against default Windows Defender to observe detection behavior. With careful API usage and structure, it remained Undetected , highlighting how much detection still depends on patterns rather than intent. Currently it is the first release, will be updating with a few more features. More to come!! 🤖 #redteaming #redteamtool #defenderbypass

✅ Just solved LeetCode 27 — Remove Element! Small problem. Big lesson. 🧠 The task: remove all occurrences of a value from an array in-place and return the count of remaining elements. No extra array. No shortcuts. Just pointer logic. Here's the two-pointer approach I used: def removeElement(nums, val):   k = 0   for i in range(len(nums)):     if nums[i] != val:       nums[k] = nums[i]       k += 1   return k 🔍 The insight: → One pointer (i) scans every element → Another pointer (k) tracks valid write position → Overwrite only what doesn't match val → Result? O(n) time, O(1) space ✨ What's your go-to pattern for in-place array problems? Drop it below 👇 #DSA #LeetCode #CodingInterview #Programming #TwoPointers #Python #SoftwareEngineering #100DaysOfCode

Fixed-Size Sliding Window: Avoiding Redundant Recalculation Computing the sum of every k-element subarray by iterating through each window costs O(n×k). The optimization: realize that adjacent windows differ by exactly two elements — one leaves, one enters. Instead of recalculating the entire sum, maintain a running total and update it in O(1): current_sum = current_sum - outgoing_element + incoming_element. This reduces complexity from O(n×k) to O(n). The Pattern: Fixed-size sliding windows appear everywhere — moving averages in time series, network packet analysis over fixed intervals, rate limiting with time buckets. The core principle: leverage overlap between consecutive states rather than recomputing from scratch. This incremental update strategy is fundamental to real-time streaming analytics where recalculating aggregates per event would be prohibitively expensive. Time: O(n) | Space: O(1) #SlidingWindow #StreamProcessing #AlgorithmOptimization #IncrementalComputation #Python #CodingInterview #SoftwareEngineering

Count digits. Sum digits. Reverse the number. Check palindrome. Four problems, one loop. Same idea every time: n % 10 gives the last digit, n // 10 removes it. Repeat while n > 0. What you do with each digit is what changes. I wrote a step-by-step practice guide that covers: ✅ The core technique: % 10 and // 10 with a full trace (e.g. 12359) ✅ Challenge 1: Count digits (counter loop) ✅ Challenge 2: Sum of digits ✅ Challenge 3: Reverse a number (rev = rev * 10 + digit) ✅ Challenge 4: Check palindrome (save original, then compare) ✅ Pattern recognition: same loop structure, different use of the digit ✅ Common mistakes (forget n = n // 10, compare n instead of saved copy) and fixes ~9 min read. One technique, four challenges. https://lnkd.in/g4RwH_Er #Python #Programming #Coding #Beginners #LearnToCode #DigitOperations #SumOfDigits #Palindrome #Tech #SoftwareDevelopment #CodingTips

Want to measure pA current? Use a Source Measurement Unit (SMU). Either buy proprietary software or write the software yourself? I just put up my first open-source project for SMUs in Python that supports the following devices. You might have to install the corresponding driver for communication (especially GPIB). If you find this useful, please consider helping me cover the costs for ClaudeCode. :) #SMU #python #Keithley #Keysight #StateMachine Github: https://lnkd.in/gZPNBm6n

You know the drill. You plug in a monitor. Nothing happens the way you want. You open hyprland.conf, squint at coordinate math, guess at monitor= lines, reload, realize the positions are wrong, edit again. You go to a conference, plug into a projector, and start the whole dance over. hyprmoncfg fixes this. Open a terminal. See your monitors laid out spatially. Drag them where you want. Save the layout as a profile. Next time you plug in the same monitors, the daemon applies it automatically. Two binaries. One runtime dependency: Hyprland. Runs over SSH. No Python, no GTK, no D-Bus. https://lnkd.in/eQpHyxQn

Matmath v4.0.0 (Stable release) is now available. This release fixes a few things over the last release, namely: - Addition of `matmath.legacy` for backward compatibility - Usage of `matmath.legacy` as a fallback to the CPython implementations instead of throwing an ImportError PyPI: https://lnkd.in/gW84uupa Repo: https://lnkd.in/gHntrufh #python #numericalcomputing #opensource #softwareengineering #math

Version 1 of my network documentation tool is done! You point it at your network, it collects show commands, redacts anything sensitive, builds a prompt for any LLM, and gives you back a finished runbook with your real IPs and hostnames. Five Python scripts. Everything runs locally except the LLM prompt. The redactor strips credentials, IPs, hostnames, serial numbers, MACs. 11 categories total. Credentials are always removed. Everything else is your call based on your security policy. I also threw in a bonus script that generates a network diagram from the output. No AI needed for that one. The whole thing is free on my GitHub. Scripts, lab files, and a CML topology you can import and run right now. Full walkthrough video is in the comments. #NetworkEngineering #NetworkAutomation #Python #IT #CiscoNetworking

Lately I was doing some #research on a #BLE enabled device and I had to write a fuzzer that run on Macos and allowed me to quickly review the available characteristics. So I put together GaBL-E a simple python script that quickly helps scan, enumerate and write/read to characteristics. I also included some fuzzing iterations that could use to exploit specific scenarios. As a note, this is specificlly designed to work in Mac with its own way of managing bluetooth devices. So do not expect it to work anywhere else. Link: https://lnkd.in/et2V-cug