🚀 What Actually Happens When You Run a Python Script in Linux Most beginners (including me) just run: python file.py …but I got curious: what’s happening behind the scenes? 👇 🧠 Step-by-step (simple breakdown): 1️⃣ You enter the command in the terminal 👉 The shell processes your input 2️⃣ It looks for the Python interpreter 👉 Checks system path to find python 3️⃣ Python reads your .py file 👉 Converts code into bytecode 4️⃣ The system executes it 👉 Output is shown in the terminal 💡 Why this matters: When you understand this flow: ✔️ Debugging becomes easier ✔️ Errors make more sense ✔️ You stop blindly running commands I’m still learning, but breaking things down like this is helping me connect concepts instead of memorizing them. 👉 What’s one “basic thing” you understood deeply that changed your learning? #Python #Linux #DevOps #CloudComputing #TechLearning #Beginners #Debugging
How Python Runs on Linux: A Step-by-Step Breakdown
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🚀 New Franktek Academy Guide Setting up Python and PIP on Ubuntu 26.04 LTS (Resolute Raccoon) doesn’t have to be complicated. Our latest article walks you through the installation process step‑by‑step, covering system packages, virtual environments, and best practices to keep your development environment clean and reliable. 👉 Read the full guide here: https://lnkd.in/d7qfjrsH #Ubuntu2604 #Python #PIP #DevTools #FranktekAcademy #ResoluteRaccoon
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My Windows text to speech app built in Python with customtkinter, pyttsx3, and SAPI5. The main goal was to make something offline, simple, and actually useful for larger text input. Supports large text, file import, WAV export, saved settings, and a Windows installer. Of course, we have RAM boost enabled (max up to 16Gb). Repo: https://lnkd.in/g7QYjSHw https://lnkd.in/gVphazwA https://lnkd.in/gmH72c6J #Python #OpenSource #WindowsDev #DesktopApp #TextToSpeech
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Running a homelab is one of the best ways to build real system administration and infrastructure skills. But many people fall into the same trap: doing the same repetitive tasks over and over again—manual updates, service checks, backups, and maintenance scripts. Automation changes that. In this week’s article, I walk through practical ways to use Python to automate routine homelab work so you can spend more time experimenting and less time maintaining. Python Homelab Automation: Efficient Workflows for Your Lab https://lnkd.in/gmDQsG_H #Python #Homelab #Automation #Linux #Infrastructure #DevOps
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I support open source. But it does have flaws. I was finishing up a blog post on using the Microsoft Foundry Local SDK for Python. Earlier today, the documentation showed that Python support only existed in the legacy SDK. The lastest SDK release supported only C# and JavaScript but that support for more langauges was planned. I visited the documentation this afternoon to check one more point before hitting the publish button. It appears that between this morning and this afternoon, the latest SDK was updated to support Python. Hopefully there weren't a lot of changes made but now I have to review the entire post to see what is new.
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Did you know we offer beginner-friendly Python packaging tutorials designed to guide you through creating your own package using modern best practices? At pyOpenSci, we believe a package in any language is more than just code. If you want others to use and build upon your work, it’s essential to go beyond functionality—considering documentation, usability, testing, and long-term maintainability. Our tutorials help you think holistically about your package as a community resource, equipping you with the tools to create software that is not only high-quality, but also accessible, reusable, and built to last. Explore the tutorials and start building your first (or next) package today → (see comments below for Python packaging 101 resource link)
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I have always loved making the most technical and confusing topics simpler and easier to digest for people. As a young researcher, I remember struggling through my PhD program, and needing to learn how to program on my own. It.Was.Hard I wondered what would happen to research if we spent less time fighting with code and processes and more time focusing on the challenges that impact our world and quality of life, like climate change, land-use change, and making science more accessible to more people. Our packaging guide is community-developed and open for anyone to use. We want to break down the packaging barrier so everyone knows how to package and ship code.
Did you know we offer beginner-friendly Python packaging tutorials designed to guide you through creating your own package using modern best practices? At pyOpenSci, we believe a package in any language is more than just code. If you want others to use and build upon your work, it’s essential to go beyond functionality—considering documentation, usability, testing, and long-term maintainability. Our tutorials help you think holistically about your package as a community resource, equipping you with the tools to create software that is not only high-quality, but also accessible, reusable, and built to last. Explore the tutorials and start building your first (or next) package today → (see comments below for Python packaging 101 resource link)
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Python Foundations: Complete! I’ve just wrapped up the Encode App by Upskew “Learn to Code” Python course. It’s totally free and really solid. It was a great way to systematically work through 30 modules of core programming concepts and sharpen my logic. A big thank you to the Upskew team for making the learning process so accessible and structured. Here’s a quick snapshot of what I learnt and practiced coding in the app: • The Basics: Variables, strings, Boolean logic, and complex conditions. • Automation: For/while loops and list comprehensions. • Data Handling: Lists, Dicts, Sets, Tuples, and file processing. • Clean Code: Functions (return values), Exceptions, and Modules. • OOP: Understanding Classes, Inheritance, and Composition. For those interested, they have lessons for HTML, JavaScript and other languages too: https://upskew.com #Python #Upskew #LearningToCode #Programming #PythonProgramming #TechSkills
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🐍 Python Development Tools — On this page you will find articles that will help you get started on the road to mastering the most common tools used in the #Python ecosystem. Knowing how to use these tools will serve you well in your career. https://lnkd.in/g-e3xpA
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🚀 Day 36 of My Python Full-Stack Journey Today, I focused on an essential Object-Oriented Programming concept — Encapsulation 🔐🐍 Encapsulation is all about bundling data and methods together and restricting direct access to protect the integrity of the data. It helps in building secure and maintainable applications. 🔹 What I learned today: • How to use private variables (__variable) to restrict access • The role of getter and setter methods • How encapsulation improves data security and control • Writing cleaner and more modular code 🔹 Simple Example: Python class Student: def __init__(self, name, marks): self.name = name self.__marks = marks # private variable def get_marks(self): return self.__marks def set_marks(self, marks): if marks >= 0: self.__marks = marks s = Student("Ramya", 85) print(s.get_marks()) 💡 Key takeaway: Encapsulation ensures that data is not accessed or modified directly, promoting better control and reducing errors in large applications. Every day I’m getting one step closer to becoming a skilled full-stack developer 💻✨ #Python #FullStackJourney #Day36 #OOP #Encapsulation #CodingJourney #LearnToCode
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