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Bringing Linux Power to Windows by Building Custom Commands

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January 2026

This brief tutorial will help you build Python versions of two vital Linux commands-ls and grep.

Bringing Linux Power to Windows by Building Custom Commands

As developers, we often find ourselves switching between Linux and Windows environments. While Windows has made strides with PowerShell and WSL (Windows Subsystem for Linux), sometimes you just want the familiar UNIX-like commands available natively. That is why I created Python-based implementations of two essential Linux commands—ls and grep—and deployed them as native Windows executables.

Why recreate these commands?

Windows has dir instead of ls and findstr instead of grep, but their syntax and behaviour differ significantly from their UNIX counterparts. For developers who work across platforms, having consistent commands can significantly improve workflow efficiency. By creating Python versions and converting them to executables with PyInstaller, we get:

  • Cross-platform consistency: Same syntax across Windows and Linux.

  • Easy customisation: Python code is simple to modify.

  • Native performance: Compiled executables run directly without Python interpreter overhead.

  • System-wide availability: Placed in System32 for global access.

The ls command: Windows directory listing, UNIX style

The ls command lists directory contents with UNIX like formatting and options. Let’s break down the key components.

The core functions are:

get_file_attributes(filepath) def get_file_attributes(filepath): """Get Windows file attributes"""

This function retrieves Windows-specific file attributes (Hidden, System, ReadOnly, Archive) using the stat module. It returns a compact string representation like 'HSR' for a hidden, system, read-only file.

format_permissions(mode) python def format_permissions(mode): """Format file permissions for Windows"""

FLERE HISTORIER FRA Open Source For You

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The Role of Open Source in Building Modern Data Infrastructure

It's no secret that open source is emerging as the backbone of modern data infrastructure. Here’s a list of the core open source technologies used to deploy this infrastructure, along with some real-world examples and a brief on why open source matters.

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The Whispering Machines: How Open Source is Bringing Intelligence to the Tiniest Devices

Built on open source frameworks, TinyML is enabling complex machine learning models to run on the microcontrollers embedded in connected devices, bringing artificial intelligence to the very edge of the network.

time to read

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Setting Up Snort to Secure Your Network

Snort is a popular, open source intrusion detection system that monitors traffic in real time to detect malware. Here’s a detailed explanation of how to set it up on Ubuntu and test it by generating traffic from another system.

time to read

7 mins

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When AI Meets DevOps to Build Self-Healing Systems

Traditional DevOps, with its rule-based automation, is struggling to work effectively in today’s complex tech world. But when combined with AlOps, it can lead to IT systems that predict failures and solve issues without human intervention.

time to read

7 mins

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How to Automate Java Code Modernisation

This short guide illustrates that automating Java code modernisation with Python and OpenAI API is not just possible-it's remarkably effective.

time to read

5 mins

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The Quest to Build a Quantum Computer

The road to large-scale quantum computing is long and hard, with incremental advances paving the way. But the destination is in sight.

time to read

12 mins

December 2025

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Job Opportunities: What's Hot in the Cloud Space?

If there's one field that refuses to slow down, it's cloud computing. Even as automation and AI reshape roles, cloud adoption continues to surge. From startups deploying microservices overnight to enterprises migrating decades of legacy systems, cloud remains the engine of digital transformation. For professionals, this means one thing: skills that live in the cloud won't come down anytime soon.

time to read

2 mins

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Securing Client Identity with Post-Quantum Cryptography

Here's a quick tutorial on how to build a secure, real world client-server model that establishes client identity by using CRYSTALS-Dilithium, a post-quantum cryptography algorithm.

time to read

3 mins

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Unlocking the Power of Multi-Agent Solutions with the Microsoft Agentic Framework

The Microsoft Agentic Framework is rapidly emerging as a cornerstone for developers, architects, and technology leaders seeking to build dynamic, intelligent systems powered by multiple collaborating agents. In an era where automation, distributed intelligence, and adaptive software are increasingly vital, this framework offers robust tools and features to accelerate the design and deployment of agent-based solutions.

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Apache Iceberg and Trino: Powering Data Lakehouse Architecture

Apache Iceberg is a cornerstone of any open data lakehouse, providing the transactional foundation upon which highly scalable and flexible analytics can flourish. Along with Trino, it can be used to build a robust, scalable, and high-performance data lakehouse.

time to read

4 mins

December 2025

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