🚀 Excited to share that I’m building an open-source project focused on high-efficiency web scraping and data filtering - completely AI-free! 🛠️ The engine is powered by Python and built with a modular architecture for maximum scalability. Stay tuned for more updates! 📈 #OpenSource #Python #WebScraping #DataEngineering #BuildInPublic
Open-source Python Web Scraping Engine
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In real-world data workflows, simple Python list methods do a lot of the heavy lifting. append(), insert(), pop(), count(), index(), reverse(), clear() From quick data cleaning to handling transformations, these basics help keep code efficient and reliable. Strong fundamentals always scale. #Python #DataScience #Data
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In Python's Pandas library, iterrows() is a generator that allows you to iterate through the rows of a DataFrame. Each iteration yields a tuple containing the row index and the row data as a Series.
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Just finished implementing an Event Scheduler in Python for my Algorithm Engineering class! This project explored the trade-offs between Heaps (priority), Hash Tables (speed), and Balanced Trees (order) to build a scalable system. Here is a video of the program running with a sample data. #Python #DataStructures #AlgorithmEngineering #CSUF #Spring2026
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FastAPI Depends() — the pattern I learned 7 weeks too late Tutorials show you Depends() in week 1. Nobody shows you composition until your auth is already a mess. The 4-day refactor I could have skipped. Full breakdown (7 min read) → https://lnkd.in/g9F9EWKT #Python #Backend #FastAPI #SoftwareEngineering #WebDev
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🧩 The Registry Pattern isn’t new… but it’s often overlooked. Beyond just replacing if/elif chains, it can: - Break circular dependencies - Delay initialization of resources - Enable plugin architectures In my latest article, I break down how and why to use a registry in Python. 👉 https://lnkd.in/dX7a438u #python #softwaredevelopment #backend #architecture #designpatterns #engineering
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Imagine building a digital empire with just a few lines of code. That’s the power of mastering Python string operations. […] https://lnkd.in/gcmJgqfG
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Focus on the Process, Not the Project The dashboard gets finished. The model gets deployed. The output gets delivered. And then it's Next project. ✅ But how you explored the data — that stays. ✅ How you validated your results — that stays. ✅ How you questioned what didn't make sense — that stays. The project is temporary. The process is what compounds. Most people chase finished work as proof of progress. But finishing faster doesn't mean thinking better. 👉 Projects end. Your process stays. #DataAnalytics #Python #AnalyticsThinking #LearningInPublic
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Just open-sourced Traceloom: a Python decorator that automatically traces DataFrame lineage across your pipeline and visualizes it as an interactive graph: https://lnkd.in/ebPUc6Qk
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🚀 I built WeatherPulse — a real-time desktop weather application using Python & PyQt5. 🌦️ Features: • Live weather updates • Auto location detection • 24-hour forecast chart • Weather animations • Sound effects • OpenWeather API integration 🛠️ Tech Stack: Python | PyQt5 | Matplotlib | NumPy | Requests 💻 Download & Try it: 👉 https://lnkd.in/gScNXa7w 🔗 Source Code: 👉 https://lnkd.in/gaDcY7Rn #Python #PyQt5 #WeatherApp #NumPy #OpenSource #SoftwareDevelopment
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We recently started a webinar series designed for federal government professionals using ArcGIS technology. Each webinar is unique and provides foundational information that can help maximize productivity, extend functionality, and create valuable insights. Next Tuesday, 31 March, the focus topic is scripting and automating using Python. If you're interested in taking part, the link to register is https://ow.ly/PT7E50YzeQf You can explore all of the upcoming topics (dates) for the series in this blog post: https://ow.ly/z9Lb30sUC0l
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