Rust compiler struggles: From Python to Crab Life

Gave my first talk at Rust Delhi Meetup #13 at essentia.dev Topic was: Exploring Rust via Python Coming from a Python background, learning Rust felt… confusing at first. Not because it’s “hard” — but because it makes you think about things Python hides. So, I built this talk around the questions I actually had while learning: - Why does Rust require so much code for simple things? - Why do we need structs for API calls? - What does & really mean? (ownership vs borrowing) - Why does every function return Result<T, E>? - What’s with .to_string() everywhere? - And what exactly does ? do? I took a simple use case — extracting meter readings from an image using an LLM — and implemented it in both Python and Rust. That’s where things clicked. Big realization: - Python lets you move fast by hiding complexity - Rust slows you down, but forces you to understand everything This talk was about being a beginner with a Rust programming language. Thanks to the Rust Delhi community for the opportunity 🙌 and everyone who attended and interacted! It was a great experience all together. #Rust #Python #LearningInPublic #BeginnerJourney #Programming #TechTalk

A few weeks ago, I started learning Python, committing to just 3% progress daily. I covered the basics (lists, tuples, sets, loops, conditionals, operators) and at some point, I felt like I was getting the hang of it. Then a friend challenged me with a simple logical problem… and that moment really humbled me. It made me realize something important: knowing syntax isn’t the same as knowing how to think with code. Python (and programming in general) is less about memorizing concepts and more about how well you can apply logic. How you break problems down, manipulate variables, structure conditions, and connect different pieces to get the result you want. I took that advice seriously, paused rushing through topics, and focused on strengthening my problem-solving and logical thinking. The improvement has been very noticeable. Takeaway: Don’t just rush through the basics. Spend time building your logic. Once your thinking improves, everything else becomes easier, and you’ll already be ahead of many who only focus on syntax. #Python #LearnToCode #DataAnalyst #PythonBeginner #TechSkills #ProblemSolving #Logic #DataAnalysis #web3 #100DaysOfCode #TechGrowth #SelfImprovement #ContinuousLearning #Biuldinpublic

🚀 Just discovered a goldmine for Python learners! From basics like len(), type(), and range() to powerful tools like map(), filter(), and zip()—this collection of 100+ must-know Python functions is a complete cheat sheet for everyday coding. 💡 What I love most: • Covers fundamentals + advanced concepts • Perfect for quick revision • Super practical for real-world problem solving If you're into Python or data analytics, this is definitely worth bookmarking. Small functions. Big impact. 💻✨ #Python #DataAnalytics #Coding #Learning #100DaysOfCode

Day 25 Of #30DaysOfCode Challenge 💡 A Small Shift in Thinking Made OOP Much Clearer Today While learning Python, I used to think inheritance was the best way to reuse code everywhere. But today, I realized that’s not always the right approach. Here’s what clicked for me 👇 👉 Inheritance works best when there is a clear “is-a” relationship 👉 Composition works better when there is a “has-a” relationship Instead of forcing everything into inheritance, using composition can make code more flexible and easier to maintain. I also explored: 🔹 Method Overriding 🔹 Using super() to access parent class methods 🔹 Multilevel Inheritance 🧠 The biggest takeaway: Writing good code is not just about making it work, but about choosing the right design approach. Practiced several problems to strengthen these concepts 💻 Learning something new every day and improving step by step 🚀 #Python #OOP #CodingJourney #LearningInPublic #SoftwareDevelopment

🚀 5 Months, 2 Real-World Projects – Launching Soon! I’ve spent the last 5 months building two problem-solving projects: 1️⃣ Python Learning Platform – Gamified, interactive learning for Python. 2️⃣ Fee Vault – Efficient, automated fee management system. 🎯 Launch Plan: Rolling out one project at a time, starting with the Python Learning Platform. Focused on full-stack development, real-world problem solving, and user experience. 💡 Why it matters: Consistency + problem-solving = tangible results. These projects showcase hands-on skills, innovation, and delivery — not just theory. Excited to share the first launch soon! #Python #ReactJS #TypeScript #WebDevelopment #Gamification #ProblemSolving #PortfolioProject #FullStackDevelopment #CareerGrowth #100DaysOfCode

Like I mentioned in my last post, I am an inconsistent learner. To break this pattern, I have been into learning python for two days now. No one cares, but a small win for me for sure :) I have done operators of python quite a few times but there are three special operators that always leave me confusing. Back in school, teachers used to tell me “once you write it down, you will have it stored within your memory”. Hence, I am writing them down here, publicly. Modulus (%): gives you remainder as an output Exponentiation (**): helps you square a number Floor division (//): divides and rounds to the nearest integer Maybe it’s never too late to start something afresh. #Python #SkillDevelopment #QuantFinance

Day 22 of #30DaysPythonChallenge Abstraction in Python (OOP) Today I learned how to simplify complex systems by hiding unnecessary details and showing only what’s important. 💡 Key Takeaways: ✔️ Abstraction helps reduce complexity ✔️ Focus on what an object does, not how it does it ✔️ Implemented using Abstract Classes (ABC) ✔️ Used @abstractmethod to define structure 💻 Real-world example: Created a base class Vehicle and implemented start() method in child classes like Car and Bike. 📈 Every day, I’m getting one step closer to becoming a better developer! 🔥 Consistency > Motivation #Python #OOP #Abstraction #CodingJourney #LearnInPublic #100DaysOfCode #Developers #AI #Programming

#Day 47 of My Python & DSA Journey Today I solved the “Check if Binary String Has at Most One Segment of Ones” problem on LeetCode. 🔍 Problem Overview: Given a binary string containing only 0s and 1s, the task is to determine whether the string contains at most one continuous segment of 1s. If multiple separated segments of 1s exist, the result should be False. 🧠 Approach: I iterated through the string and tracked how many times a new segment of 1s starts. Whenever a 1 appears either at the beginning of the string or immediately after a 0, it indicates the start of a new segment. If more than one such segment is found, the condition fails. ⚡ Key Takeaways: • Strengthened understanding of string traversal • Practiced pattern recognition in binary strings • Improved logical problem-solving using Python 📊 Complexity: • Time Complexity: O(n) • Space Complexity: O(1) Consistently solving problems helps me improve my algorithmic thinking and coding efficiency every day. Looking forward to learning more and solving tougher challenges ahead! Under the Guidance of : Rudra Sravan kumar and Manoj Kumar Reddy Parlapalli #Day47 #Python #LeetCode #DataStructures #Algorithms #CodingJourney #ProblemSolving #100DaysOfCode

Most people start learning Python… but quit halfway. Python isn’t difficult — the real problem is unstructured learning. Instead of jumping between random tutorials, I focused on building strong fundamentals like variables, loops, functions, and consistent practice. That’s when things finally clicked. Good notes are underrated. When you write and revise your own Python notes, concepts stay with you longer, and coding becomes much easier. From basic syntax to real-world use cases like web development, automation, and AI — Python opens doors everywhere. If you’re just starting, don’t rush. Focus on clarity, practice daily, and build small projects. Remember: consistency beats intensity. I’ve shared my Python notes to help you learn faster and avoid common mistakes. 📌 Connect with Himanshu Choure for more #Python #Coding #Programming #LearnToCode #PythonNotes #Developer #Tech #100DaysOfCode #CodingJourney #SoftwareDevelopment

Most people try to learn Python by memorizing everything. That rarely works. What actually helps is seeing how things connect. You need to understand how pieces fit together: • Variables → used in functions • Functions → used in loops • Loops → used to process data • Data → analyzed with libraries like Pandas That is how real code is written. The gap for most beginners is knowing when to use what. Once that clicks, Python becomes much easier. Which part of Python took you the longest to understand? 👉 Built an AI tool? Get it featured in our community of 13M+ AI Professionals: https://lnkd.in/gRjpdKYx Graphic credits to respective owner. #python #programming #coding #datascience #learning