🐍📺 What Does Python's init⸳py Do? [Video] Learn how Python's init⸳py declares packages, initializes variables, simplifies imports, and controls what gets exported https://lnkd.in/gCVqgVcd
Python init⸳py: Package Declaration and Initialization
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🐍📺 What Does Python's init⸳py Do? [Video] Understand how Python's init⸳py defines packages, initializes variables, simplifies imports, and controls exported elements. https://lnkd.in/gCVqgVcd
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Beyond Hypermodern: Python is easy now - Chris Arderne, https://lnkd.in/epPRikWA IA Summary: Python development, once a daunting maze of tools and configurations, is now remarkably easy thanks to modern innovations like `uv` and `ruff`. This guide offers a streamlined approach, enabling you to build maintainable projects with unparalleled speed and simplicity, from setup to monorepos. #python #dev #softwareengineering #hypermodern #bestpractices
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Learning how to link one object to another in Blender Python. (because why not) Python snippet: sphere_object.parent = cube_object # don't forget to assign these variables. Now when I "move" the cube_object, the sphere_object moves in the same direction. Neat.
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Python doesn't use traditional call by value or call by reference, which can make function behavior confusing at first. In this tutorial, Mokshita teaches you how passing by object reference works in Python, and how it differs from languages like C. You'll also learn how mutable and immutable types affect what changes inside a function. https://lnkd.in/g5ttBBm7
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What are you doing Tuesday night in DC? Come learn from a total Python rockstar on how to package your Python software for distribution!
Just announced: Python packaging 101! Learn to turn your Python code into a reusable package, in this hands-on, in-person workshop in DC. Link to RSVP in comments.
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Just released a5_fast 🚀 Python bindings using PyO3 for a5 Rust library 🦀 https://lnkd.in/gU_7Mqfs If you're working with A5 in Python, give it a spin. It should be considerably faster than native Python implementations. 🐍 https://lnkd.in/gdgd5Wsf #Rust #Python #PyO3 #OpenSource #A5
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Python Starters Day 15 Foundation Nugget Indentation is for structuring In Python, spacing matters. if True: print("Correct") Remove the indentation, and it breaks. Indentation shows structure by telling Python what belongs together. Many languages use symbols, but Python uses a clean structure. This design choice makes the code readable, as good indentation builds good habits. Follow the Python 🐍 Starters Hub: WhatsApp: https://lnkd.in/dbjAFv52 LinkedIn: https://lnkd.in/dkJE3tZq
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🔎 Why Python’s Context Managers Matter A context manager is Python’s way of saying: “I’ll handle setup and cleanup for you.” Think of it like this: - You open a file → Python ensures it’s closed. - You acquire a resource → Python ensures it’s released. - You enter a block of code → Python ensures you exit safely. All thanks to the with statement. 💡 The honest one-liner: Context managers let you focus on what to do inside the block, while Python takes care of what must happen before and after. #Python
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🚀 Mastering loops in Python: Dive into the essentials of iteration and optimization! 🐍 Loops in Python are fundamental for repeating actions efficiently. They allow developers to iterate over elements in a sequence like lists, strings, or ranges. Understanding loops is crucial for building complex algorithms and processing large datasets. Here's a breakdown on how to use a 'for loop' for iterating over a list of numbers in Python: 1. Define the list of numbers 2. Utilize the 'for' keyword to iterate through the list 3. Perform actions within the loop block 👨💻 Pro tip: Use list comprehensions for concise loop expressions! 🚫 Common mistake: Forgetting to update the loop variable, leading to an infinite loop. What's your favorite use case for loops in Python? Share your thoughts below! 🤔 🌐 View my full portfolio and more dev resources at tharindunipun.lk #PythonProgramming #CodeOptimization #LearningPython #DeveloperTips #PythonLoops #TechSkills #CodingCommunity #AlgorithmDesign
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Every import in #Python executes the module, from start to finish. Meaning? Big modules slow down your program's startup time. Coming in Python 3.15 this October: "lazy import", which delays the load until a name is used: lazy import MODULE lazy from MODULE import NAME
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