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

Learn machine learning with Python and discover how to apply it to real-world problems with this comprehensive guide #MachineLearningWithPython Read the full article

Day 9 – Python Deep Dive 🚀 Topic: While Loop Example: i = 0 while i < 5: print(i) i += 1 👉 Key takeaway: Useful when condition-based repetition is needed. #Python #Developer

Practicing Python daily 🐍 Working through 500+ questions to strengthen fundamentals and problem-solving. Small steps → real progress 🚀 #Python #Learning #Coding

Day 5 – Python Deep Dive 🚀 Topic: Type Checking Example: x = 10 print(type(x)) 👉 Key takeaway: Understanding types helps prevent bugs. Also explored: isinstance() #Python #Debugging

‼️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.

Just solved a Python coding challenge on checking whether a string can be formed by concatenating the first k words from a list. #Python #CodingChallenge #DataStructures #Algorithms #ProblemSolving #LeetCode #CodingJourney #SoftwareEngineering #Developers #TechSkills #LearnToCode #Programming #CodeNewbie #CareerGrowth #InterviewPrep #100DaysOfCode #TechCommunity #AI #MachineLearning #DataScience #Analytics #DeveloperLife

‼️FREE SERIES ALERT Part 5: Implementing Support Vector Machines from Scratch in Python | Full Beginner to Advanced AI https://lnkd.in/gPSaT_Pb 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.

This video discusses about features and syntax of using if/elif/else and match/case statements in Python with many examples in detail.

Day 1 of strengthening core Python and AI/ML foundations for production-level systems Revisited Python fundamentals with a focus on execution environments and code structure. Focus areas: ▪️ Python installation and environment setup ▪️ Running Python via CLI and IDE ▪️ Syntax, indentation, and code readability ▪️ Writing initial programs with proper structure ▪️ Output handling and escape sequences Key takeaway: A well-configured environment and clean syntax are foundational for building scalable and maintainable AI/ML systems. #MachineLearning #ArtificialIntelligence #Python #AIEngineering #AIMLWithPhitron