Compiler နဲ့ Interpreter ဘာကွာလဲ Compiler နဲ့ Interpreter နှစ်ခုလုံးဟာ ကိုယ်ရေးထားတဲ့ High-level code (C#, Python, Java) တွေကို ကွန်ပျူတာနားလည်တဲ့ Machine code အဖြစ် ပြောင်းပေးတဲ့ "ဘာသာပြန်ဆရာ" တွေ ဖြစ်ကြပါတယ်။ ဒါပေမဲ့ သူတို့ ဘာသာပြန်ပုံချင်းကတော့ အခြေခံအားဖြင့် ကွာခြားပါတယ်။ ၁။ အလုပ်လုပ်ပုံ (Process) • Interpreter: ကုဒ်ကို တစ်ကြောင်းချင်းစီ ဖတ်ပါတယ်။ ပထမတစ်ကြောင်းကို ဖတ်တယ်၊ ဘာသာပြန်တယ်၊ ချက်ချင်
Luci-Studio is a creative engineering space dedicated to high-performance applications, technical deep-dives, and digital art experiments. As an engineer with 5+ years of shipping cross-platform apps, I wanted a portfolio and blog that actually reflected my standard for software: clean architecture, obsessive edge-case handling, and a UI that just feels right. Check out the new site to see my late
So your inbox lit up yesterday with the email. The proposal worked, the interviews worked, the late-night drafts worked. Take a moment, breathe, tell your family, post the screenshot. You earned it 🎉 GSoC is, at its core, a few months of getting paid to learn from people who have spent years figuring out how to build software that thousands (sometimes millions) of strangers depend on. Think of it
From Monolith Mess to MFE Freedom Your Angular app has ballooned into a beast — builds drag on forever, deployments become team-wide nightmares, and everyone’s stuck waiting on each other. It’s like cooking a feast for 20 in a cramped kitchen: one slow chopper holds up the line. We’ve all been there. Micro frontends flip that script, especially in Angular. They carve your giant app into smaller,
The DataFrame class (from Pandas) is a work of art. Even if you never "do data", priceless lessons can be gleaned by studying this class. It starts simple enough. Usually you will create a DataFrame by ingesting from a CSV file or database table or something. But you can whip up a small one like this: import pandas as pd df = pd.DataFrame({ 'A': [-137, 22, -3, 4, 5], 'B': [10, 11,
Retrospective: Adopting Green Software Practices with Graviton4 and Carbon Footprint Tools As climate concerns push tech organizations to prioritize sustainability, our team at a mid-sized B2B SaaS provider embarked on a 12-month initiative to adopt green software practices, anchored by migrating to AWS Graviton4 processors and integrating carbon footprint measurement tools into our workflow. Th
When we talk about Data Visualization and Dashboards, enterprise tools like Tableau or PowerBI often dominate the conversation. However, for Data Scientists and Developers, these GUI-based tools can feel restrictive. What if you need complex machine learning integration, custom UI logic, or automated CI/CD deployments? Enter the holy trinity of Python visualization tools: Streamlit, Dash, and Boke
[05] When to Pull the Trigger on FIRE — Monte Carlo Says You're Already Free This is Part 5 of a 6-part series: Building Investment Systems with Python "You need 25x your annual expenses." That's the standard FIRE rule. For ¥9.6M annual expenses, that's ¥240M. Most people see that number and think: "I'll never get there." But the 25x rule assumes a fixed 4% withdrawal rate, zero income, zero ada