Automate Video Editing with Python

Today I explored Python Dunder Methods with practical coding examples. ✔Object creation using init ✔ Custom behavior using str and len ✔ Operator overloading (add, sub) ✔ Comparison methods (eq, gt) Understanding these concepts helped me see how Python works internally #Python #BackendDevelopment #CodingJourney #LearnInPublic

#MachineLearning #Python #AI #DataScience #Pickle After building your AI model, the training phase can take a long time, and you may close VSCode. It is not logical to train the model again every time you run your code. This is where Python’s pickle module becomes invaluable. It allows us to serialize (save) and deserialize (load) Python objects, including our AI model. With model.pickle, we don’t need to train the model again next time — we just load it and use it directly.

Agents in 60 lines of python : Part 8 Created by Arun Purushothaman How AI Agents Plan Their Own Work — Self-Scheduling in Python Lesson 8 of 9 — A Tour of Agents The entire AI agent stack in 60 lines of Python. Ask Claude to refactor a module. You didn't tell it to read the existing files first. You didn't tell it to check the tests. You didn't tell it to upd... link https://lnkd.in/eSWmEXSR pubDate Thu, 26 Mar 2026 03:30:00 +0000

‼️FREE SERIES ALERT Part 3: Linear Regression From Scratch in Python (Step-by-Step Implementation) https://lnkd.in/gwNHF3dU This series is designed for beginners in AI/ML who want to move beyond "black-box" libraries and truly understand the software architecture expected in tech interviews. If you're preparing for ML roles and want to truly understand how algorithms work under the hood, this series is for you.

Learn Automation with Python from scratch in this beginner-friendly series! 🚀 In Episode 1, understand what automation is, why it matters in daily life & business, AI vs Automation, and how to install Python step-by-step. Start your journey into...

Theory is great, but execution matters. Check out this 60-second visual breakdown on how to actually code outlier detection in Python. We're using pandas and scipy to implement both IQR Capping and Z-Score Dropping so your models stop skewing. #Part2 #DataScience #MachineLearning #Python #Pandas #DataEngineering #DataCleaning #TechEducation

🐍 One thing I learned from working with real systems: Most issues are not in writing code... they are in understanding failures. When something breaks, I now focus on: → Logs analysis → Reproducing the issue → Identifying root cause Instead of jumping to fix, I try to understand why it failed. This approach has improved my problem-solving a lot. #Python #Debugging #ProductionSupport #Learning

Benchmarking Python vs Rust across real use cases shows a clear pattern: performance depends on workload, not language hype. Rust excels in CPU-heavy tasks, while Python can outperform with optimized libraries. The real decision is aligning performance gains with business impact. #Blog #FAMRO #Python #RUST #Benchmarking https://lnkd.in/dDgvQ9mC

If you’re using AI to build apps (or even automate simple tasks), you might find you need Python 🐍. Here’s a quick 2-minute walkthrough to get Python installed and running on your machine.

Learn how to create a chatbot with Python and Dialogflow, including step-by-step guide, advanced features, and real-world applications, with a focus on creating a chatbot with Python https://lnkd.in/g8GFzcvs #CreateChatbotWithPython Read the full article https://lnkd.in/g8GFzcvs