Davide Bellone’s Post

Creating and Managing Python Virtual Environments Virtual environments are essential in Python development as they allow you to create isolated spaces for your projects. This means you won't have to worry about dependencies clashing across different projects. When you create a virtual environment, it essentially sets up a self-contained directory with its own installations of Python and pip, allowing you to manage project-specific requirements without interference from the global Python environment. The `venv` module, introduced in Python 3.3, is the tool we mostly use to create virtual environments. In the code above, we first check if a directory for the virtual environment already exists. If it doesn’t, we create one using the command `python -m venv myenv`, where “myenv” is the name of our virtual environment. The use of `subprocess.check_call()` here helps in executing this command programmatically. After creating the environment, we inform the user on how to activate it. Activation is necessary because it tells your shell to use the Python interpreter and libraries from this virtual environment instead of the global Python installation. On Windows, the activation script can be found in the `Scripts` directory, while on UNIX-based systems, it resides in the `bin` directory. This is particularly useful in collaborative teams where different developers may work on different projects that require different sets of packages or package versions. By activating the environment, each project can remain stable and manageable. Quick challenge: How would you modify the code to automatically install a package (like `requests`) after creating the environment? #WhatImReadingToday #Python #PythonProgramming #VirtualEnvironments #PackageManagement #Programming

🛠️ TOOL OF THE DAY: Maturin If you're building anything serious in Python that eventually hits a performance wall, this is the tool that changes the game. Maturin lets you write Rust, compile it into a native Python extension, and import it like any other package. No C wrappers. No FFI headaches. Just fast. ────────────────────── 🔗 https://www.maturin.rs ────────────────────── Here's what makes it special: ⚡ Build Rust-backed Python wheels in a single command (maturin develop for dev, maturin build for release) 🦀 Works seamlessly with PyO3, the de facto Rust↔Python binding layer 📦 Publishes directly to PyPI with maturin publish 🔄 Handles mixed Rust/Python projects, you keep your Python API, offload the hot path to Rust 🧵 Your Rust code can release the GIL and run truly parallel CPU work, something pure Python can never do The real use case? You have a Python app that's correct but too slow. Profiling shows one tight loop eating 80% of your runtime. You rewrite that function in Rust, wrap it with PyO3, build with Maturin, and suddenly it runs 10–50x faster, while the rest of your codebase stays in Python. This is exactly how Polars, Pydantic v2, and Ruff are built. The build toolchain has matured significantly. maturin develop now gives you a fast iteration loop that feels close to native Python development. If you're serious about Python performance in 2026, Rust via Maturin is the path. #ToolOfTheDay #Rust #Python #PyO3 #Maturin #RustLang #PythonDev #SoftwareEngineering #DeveloperTools #PerformanceEngineering #BuildInPublic

Machine Learning Audio Data using python soundfile #machinelearning #datascience #dataaudio #pythonsoundfile The soundfile module is an audio library based on libsndfile, CFFI and NumPy. The soundfile module can read and write sound files. File reading/writing is supported through libsndfile, which is a free, cross-platform, open-source (LGPL) library for reading and writing many different sampled sound file formats that runs on many platforms including Windows, OS X, and Unix. It is accessed through CFFI, which is a foreign function interface for Python calling C code. CFFI is supported for CPython 2.6+, 3.x and PyPy 2.0+. The soundfile module represents audio data as NumPy arrays. Data can be written to the file using soundfile.write(), or read from the file using soundfile.read(). The soundfile module can open all file formats that libsndfile supports, for example WAV, FLAC, OGG and MAT files. https://lnkd.in/dnsxU5Un

Python developers: Qt is closer than you think. Four things that surprise Python developers when they first use PySide6: 1. `pip install PySide6` gives you the entire Qt framework. Widgets, networking, model/view, database, multimedia — everything. One package. 2. The API is identical to Qt for C++. Same class names, same method names. If you learn PySide6, you understand Qt — not just the Python bindings. 3. `Signal(int)` is just a class attribute. It looks like a type annotation. It behaves like an event system. It's cleaner than most callback patterns you've used. 4. No compilation. You save the file and run it. For a framework as capable as Qt, this still feels surprising. The free dashboard eBook has a complete PySide6 implementation side by side with the C++ and QML versions. Same app, three languages. Good for understanding what the framework actually provides. #PySide6 #Qt #DesktopDevelopment #CrossPlatform

You've probably heard of superpowers, but what about super cow powers? super-cow-powers is a Claude Code skill for Debian packaging. If you've ever had a .deb pass lintian and then crash at install because your postinst raced with debhelper, or your symlinks pointed to the wrong virtualenv root -- this is for that. It enforces cross-file consistency checks that catch the 5-6 mistakes everyone makes, every time. Things like your debian/rules saying one install root while your .links file points somewhere else. Builds fine, lintian passes, service crashes. Deep support for Python projects using dh-virtualenv. Templates, checklists, reference docs, the whole thing. https://lnkd.in/g9JVaUpd

🐍 COMPLETE PYTHON NOTES – Your All-in-One Python Mastery Guide! 📘✨ Whether you're a beginner taking your first steps or an experienced coder brushing up on fundamentals, this PDF has everything you need to become a Python pro! 💻🚀 📌 What's Inside? ✅ Python Setup (Windows & Linux) ✅ Variables, Data Types & Operators ✅ Lists, Tuples, Dictionaries & Sets ✅ Loops, Conditions & Functions ✅ OOP Concepts – Classes, Inheritance, Encapsulation & More! ✅ File Handling, Regex, Exception Handling ✅ Lambdas, Map/Filter/Reduce ✅ Decorators, Generators, Iterators ✅ Multi-threading, Asyncio, Multiprocessing ✅ JSON, CSV, SQLite, APIs, Web Scraping ✅ Bonus: Fibonacci Trading Strategy 📈 🎯 Perfect for: · Students & Beginners 🎓 · Self-taught programmers 💡 · Interview prep & quick revision ⚡ --- Follow Muhammad Nouman for more useful content #PythonNotes #CompletePython #LearnPython #PythonProgramming #CodingNotes #PythonForBeginners #OOPPython #PythonGuide #ProgrammingHub #TechLearning #PythonPDF #PyCodeHub #CodingJourney

What if you could call Python from C# in 4 lines — with Native AOT support, no project file, and compile-time security checks? That's DotNetPy, and v0.5.0 is now live on NuGet. Unlike existing options (pythonnet, CSnakes), DotNetPy is built for where .NET is heading: file-based apps, AOT compilation, and declarative dependency management via uv. No Source Generators, no heavy runtime — just inline Python execution with clean data marshaling. This has been a passion project born from real-world needs at the intersection of .NET and AI/data science workflows. I'd love your feedback. 🔗 https://lnkd.in/g23PEys8 #dotnet #python #opensource #nativeaot #csharp

PyHanko brings cryptographic PDF signing to Python with full verification support. What makes this interesting is the gap it fills — PDF signatures are a minefield of spec complexity and legacy formats, and most libraries either wrap native OS APIs or require commercial SDKs. PyHanko implements the signing primitives directly in Python, giving you control over certificate chains and timestamp authorities without shelling out. #Python #Cryptography #OpenSource #Security https://lnkd.in/dpssXmVZ

Want every TODO in your Python code without clicking around? One grep does it all. ⚡ Command: grep -r 'TODO' ./src --include='*.py' -l - -r: recursive search - 'TODO': literal pattern - ./src: start here - --include='*.py': Python files only - -l: list files Real world: you're auditing a growing Python repo at 2AM. TODOs are scattered everywhere. This prints exactly which files contain TODOs, so you open them in your editor and triage in minutes. Why it matters: tiny one-liners save hours and keep work aligned. The terminal is a superpower; you control the pace. Run it right now. Tell me what you find. 🐧 #linux #terminal #bash #commandline #devops #sysadmin #programming #softwareengineering #developer #coding #opensource #productivity #automation #cloudcomputing #learntocode

🐍 COMPLETE PYTHON NOTES – Your All-in-One Python Mastery Guide! 📘✨ Whether you're a beginner taking your first steps or an experienced coder brushing up on fundamentals, this PDF has everything you need to become a Python pro! 💻🚀 📌 What's Inside? ✅ Python Setup (Windows & Linux) ✅ Variables, Data Types & Operators ✅ Lists, Tuples, Dictionaries & Sets ✅ Loops, Conditions & Functions ✅ OOP Concepts – Classes, Inheritance, Encapsulation & More! ✅ File Handling, Regex, Exception Handling ✅ Lambdas, Map/Filter/Reduce ✅ Decorators, Generators, Iterators ✅ Multi-threading, Asyncio, Multiprocessing ✅ JSON, CSV, SQLite, APIs, Web Scraping ✅ Bonus: Fibonacci Trading Strategy 📈 🎯 Perfect for: · Students & Beginners 🎓 · Self-taught programmers 💡 · Interview prep & quick revision ⚡ 📖 70+ pages of clear explanations + real-world examples 🔥 Learn Python A to Z – all in one place! 📥 Grab your copy now and level up your coding game! 🔗 Link in Bio --- #PythonNotes #CompletePython #LearnPython #PythonProgramming #CodingNotes #PythonForBeginners #OOPPython #PythonGuide #ProgrammingHub #TechLearning #PythonPDF #PyCodeHub #CodingJourney