REMINDER - The Python programming workshop is THIS SUNDAY Workshop link: https://lnkd.in/eEpsw7de At Hobart Hackerspace. Session 1 will cover how to set up your computer for programming with Python. If you don't know where to start, I'll be able to guide you to having the tools for programming Python set up on your machine. Whether it is Windows or Mac, or even Linux! Or even if your computer is locked down, or you have a tablet, there are still ways to code in Python. Python is often used in data science, AI, web applications, automation, and all kinds of things as it has a vast range of packages available you can just install and work with right away.
Python Programming Workshop This Sunday at Hobart Hackerspace
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A simple and fast way to run Python code live inside the Helix Editor using Windows Terminal. Write your code on the left, and instantly see the output update on the right perfect for Python learners. 💡 Key Features: • Works entirely with built-in Windows + Python tools • Auto-runs your script on every save • Fully refreshed output window each time • Split view code (left) & output (right) • No external tools or dependencies • Easy one-click setup 🎯 Why I built this: I wanted a fast, reliable, and fully offline setup for learning Python. Most live runners depend on internet speed, feel slow, or even come with limitations/costs. I wanted something simple where you can just focus on coding and instantly see results without any distractions. Now it’s just: code → save → see output instantly 🔗 https://lnkd.in/g_fxvXYc If you’re learning Python or prefer minimal, fast workflows this might help you 🙌 #Python #Helix #OpenSource #DeveloperTools #BuildInPublic #Coding #WindowsTerminal #LearnToCode #HelixPythonLiveRunner
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As someone who writes in multiple languages, it can be challenging to switch between languages. I have been writing in R for about a year and a half. Coupled with a move from Windows OS to MacOS, it has been an adjustment period. I am currently making a career switch and needed a reminder of the basics for python, my second favourite language (SQL is the best). This is one of the best refresher courses I have ever had. “Python Essential Training” by Ryan Mitchell! Check it out: https://lnkd.in/eth3SRFV #python. Code Challenges provided by CoderPad. https://lnkd.in/e6A_b94R
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I’ve recently been debugging a Python script with mysterious resource spikes. The available tools were not efficient and, in many ways, are a pain to work with. So I wrote a tool in Rust for fast and easy triage of resource consumption, linking it to Python functions. It records a full timeline of CPU, memory, I/O, and the Python call stack. Check out the blog post: https://lnkd.in/g5YwJqxJ Source code is available here: https://lnkd.in/g9Q4sF8p #rust #python #linux #debugging
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Did you know you can comment out an entire block of code in R with a simple shortcut? This is super useful when testing or debugging parts of your script. Select the code and press: 🔹 Ctrl + Shift + C (Windows/Linux) 🔹 Cmd + Shift + C (Mac) The same shortcut also uncomments code, making it easy to toggle between active and inactive sections. Check out this tutorial for more details: https://lnkd.in/ezWsUg5f Stay updated on R, Python, and data science. Join my newsletter for hands-on tutorials and useful insights. See this link for additional information: https://lnkd.in/dcyXHzap #RStats #datastructure #R #DataScience
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If you're not using virtual environments in Python… you're making a big mistake. Here’s why they matter Problem: Different projects need different package versions → This creates conflicts (and headaches) Solution: Virtual Environments They let you: → Isolate dependencies per project → Avoid version conflicts → Keep your system clean How to use: → Create Virtual Environment python -m venv myvenv → Activate Virtual Environment in (Windows) myvenv\Scripts\activate → Activate Virtual Environment in (Mac/Linux) source myvenv/bin/activate → Install packages pip install <package_name> → Deactivate Virtual Environment deactivate Simple habit. Huge impact #Interview_Question: What is a virtual environment, and why is it created? →In Python, a venv (Virtual Environment) is an isolated folder that stores specific Python libraries and versions for a particular project. It is distinct from the main system's Python installation, thereby preventing package version conflicts and providing an independent environment for projects. Do you use virtual environments in your projects? #Python #VirtualEnv #BackendDevelopment #Coding #Developers #Backend #Python #FastAPI #Flask #Django
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In the era of Agents Moving into a new organization Into a new domain New problem That you and your Agent have to solve With max impact in min time What is the programming language Where you say this is the one To use in the new era Is it Python, now it has types Is it Type Script, its growing Narh man It's Windows Power Shell Because it's the only friend you can always rely on Regardless of your credentials Regardless of your setup Regardless of it all Its your path to Algoritms When you don't want just the Agents Solving a problem in a new domain in a new organization In short time
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I’ve just published my 🐍 Python Object-Oriented Programming (OOP) Complete Learning Repository. It covers a structured 30-day roadmap from OOP basics to real-world system design with clean examples, mini projects, and beginner-friendly explanations. 🔗 GitHub: https://lnkd.in/gJSzJDJN Feedback is welcome
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🚀 Python Learning Journey – Day 2 📅 11/03/2026 Continuing my learning journey with Python at Global Quest Technologies, today’s session focused on understanding Python’s powerful features and the tools used for development. 🔍 Topics Covered : 🔹 Python Features 🔹 Popular IDEs for Python Development 💡 Key Takeaways: ✔️ Python is open-source, making it free and flexible to use ✔️ It is platform-independent, running seamlessly across Windows, Mac, and Linux ✔️ Comes with extensive libraries and frameworks, enabling faster development ✔️ Supports both procedural and object-oriented programming paradigms ✔️ Dynamically typed, reducing the need for explicit variable declarations 🛠️ Popular IDEs Explored: 🔹 PyCharm – Feature-rich and developer-friendly 🔹 Visual Studio Code – Lightweight and highly extensible 🔹 Spyder – Ideal for scientific computing 🔹 Thonny – Beginner-friendly IDE This session gave me a deeper understanding of why Python is such a versatile and widely used programming language, along with the tools that make development more efficient. Grateful for the continuous guidance from Global Quest Technologies and G.R NARENDRA REDDY Sir !! Excited to keep learning, practicing, and building more in the upcoming sessions! #Python #LearningJourney #CorePython #Programming #TechSkills #Upskilling #FullStackDevelopment 🚀
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