Managing Python Projects with pyproject.toml

uv vs pip. Why should you use uv rather than pip for managing packages and dependencies in your Python project? - uv generates a uv.lock file that pins the exact versions of every dependency and sub-dependency. This makes environments reproducible across machines and deployments. - When you add a package with uv add, it updates the project definition for you. With pip, you typically have to remember to run pip freeze to update requirements.txt. - uv handles virtual environments as part of the workflow instead of requiring separate setup. - Dependency resolution with uv is dramatically faster than pip. I wrote a short breakdown explaining how this works and why it matters for production Python projects. #python #packagemanagement #uv #pip #backend #pythonprojects

Mastering the ‘PyInstaller’ Library: Python Executables Have you ever wanted to share your Python project with someone who doesn't have Python installed? Or perhaps you've created a handy script and want to turn it into a standalone application that can be easily run on any operating system? This is where PyInstaller comes in. PyInstaller is a powerful tool that packages Python applications into a single executable file, making them easy to distribute and run without requiring the end-user to have Python or any of its dependencies installed....

If you want to learn Python by building practical, portfolio-friendly projects, not just isolated coding exercises, check out the free course Industry Projects for Python In this tutorial, based on Chapter 1, you will use `uv` to create a new Python project, install Flet, and run your first simple desktop UI app. We cover an important Python habit: project dependencies belong to the project, not to your whole machine. Find out how incredibly useful `uv` is! https://lnkd.in/dmAwsgub

The hardest part of Python isn’t Python. It’s setting up the environment correctly. Most tutorials teach syntax: print(), loops, functions, classes… But when you open a real Python repository for the first time, you suddenly see things like: .venv .gitignore pyproject.toml .egg-info pytest And many beginners think: “Wait… what is all this?” Because tutorials rarely explain the actual workflow used in real projects. Here’s what typically happens when working on a Python project or contributing to open source: 1️⃣ Fork the repository Create your own copy of the project. 2️⃣ Clone your fork git clone https://lnkd.in/gTxNkfxM 3️⃣ Create a virtual environment Run: python -m venv .venv 4️⃣ Activate the environment Now your dependencies stay isolated. 5️⃣ Add a .gitignore So things like .venv, __pycache__, and .egg-info don’t get committed. 6️⃣ Understand pyproject.toml This file defines: • project metadata • dependencies • build system • tool configurations 7️⃣ Install the project in editable mode Run: pip install -e . 8️⃣ Run the test suite pytest Then you finally start modifying the code. One folder that confuses many beginners is: .egg-info → metadata Python creates when your project is installed as a package. Python tutorials teach syntax. But real-world development is about environment setup, tooling, testing, and reproducibility. Once you understand that workflow, contributing to projects becomes much less intimidating. What confused you the most the first time you opened a Python repository? #Python #OpenSource #SoftwareDevelopment #LearnToCode #PythonTips

The best Python setup is not the one with the most extensions. It’s the one with the fewest surprises. I shared a practical Medium post on the best VS Code extensions for Python development and how to avoid editor overload. Read here: https://lnkd.in/dVgDwEHG

If you are doing any sort of python development work for MARI by the Foundry, I've generated a full set of up to date Python Stubs for it that you can use in your Code Editor for hinting and auto completion. https://lnkd.in/eZvDcTVP

🐍📰 In this step-by-step project, you'll build a bulk file rename tool using Python and pathlib to manage the file renaming process and PyQt to provide the application's GUI #python

🐍📰 Python "while" Loops (Indefinite Iteration) In this tutorial, you'll learn about indefinite iteration using the Python while loop. You’ll be able to construct basic and complex while loops, interrupt loop execution, and more. #python

Ever wonder why Python tools like uv, ruff, and the library polars are so fast? The secret is Rust. But how do these two languages actually talk to each other? I just wrote a quick guide on the "handshake" between Python and Rust: "Rust says Hi to Python!" What’s inside: - The ABI: The low-level bridge making it possible. - PyO3 & Maturin: How to turn Rust structs into Python classes. - High-level ergonomics meets low-level performance. Check out the full article: https://lnkd.in/g7bZvnY2 Thanks :)

4 Words That Unlock OOPs in Python Most beginners try to jump straight into oops principals without understanding these terms. if you want to truly understand Python OOPs, start with these 4 core concepts: 1. Class Think of it as a blueprint. Before building a house, you design the structure on paper. A class does the same for objects. 2. Object An object is simply an instance of a class. If the class is the blueprint, the object is the actual building created from it. 3. Constructor (__init__) A special (dunder) method that runs automatically when an object is created. Its job is to initialize the object’s attributes so you don’t have to manually assign them every time. 4. Self self refers to the current instance of the class. It allows methods inside the class to access and modify the object’s data. Once you understand these 4 concepts, OOP stops looking complicated. It becomes logical. And Python suddenly feels much more powerful. What concept confused you the most when you first learned Python OOP? #Day52 of Documenting my Learnings & Building Meaningful connections on LinkedIn.