Python Course for Beginners: 200 Subscribers on Coding Kannadiga

Python Practice Lab by Angelica Lim and Victor Cheung is a guide to learning basic programming by writing fun, working programs that gradually become more complex. Out now (26 May UK pub)! Find it here: https://hubs.ly/Q048V8YL0 This classroom-tested, workbook-style text teaches basic programming by guiding readers to write Python programs that mimic interactive chatbots. Unlike textbooks with opaque examples explained in dry, monotonous code, Python Practice Lab engages readers immediately, with more than thirty motivating and hands-on examples. Readers learn by writing fun, working programs that gradually become more difficult as new concepts are introduced. Most exercises are open ended, promoting creativity in the process of learning. Along with coding practice, the book offers brief introductions to a range of other topics in computer science, including recommendation systems, computer vision, and big data, and relates these subjects to the programming concepts covered in the book. Python Practice Lab will be an essential resource for anyone who wants to learn to program, instructors teaching Python to beginners, and students who want to supplement their coursework by building complete and functional programs. • Uses natural language and text strings rather than math as the main building blocks for learning about program structure • Rewrites code comprehension exercises in equivalent code with inclusive and approachable variables rather than terse, single-letter variables • Challenges readers to write a full program in each chapter • Presents a selection of projects at the end of the book that integrates the concepts introduced in previous chapters #Coding #Python #ComputerScience #Programming

Looking for Professional Learning in Digital Technologies that is practical, engaging — and ready for the classroom? We’re hosting upcoming Teacher Professional Learning sessions on: 🧠 Python Introduction – Learn the Fundamentals the Engaging Way Designed for Years 7–10 Digital Technologies and primary teachers, this session builds your confidence to teach Python — whether you’re new to coding or looking to refresh your approach. 🎯 What makes this PD valuable? 🧑🏫 Classroom-ready — use it with your students straight away 💻 No installs required — fully browser-based 🎮 Engaging approach — Python taught through a structured narrative 📚 Aligned with Australian Curriculum v9 📜 Certificate of participation provided 🎥 Recording & slides shared after the session 📅 Upcoming sessions 26 March: 3:30pm Brisbane 4:30pm Sydney, Melbourne, Canberra, Hobart 4:00pm Adelaide 3:00pm Darwin 1:30pm Perth 14 May: 3:30pm Brisbane, Sydney, Melbourne, Canberra, Hobart 3:00pm Adelaide, Darwin 1:30pm Perth Led by Dr Karsten Schulz, founder of the Digital Technologies Institute, this session demonstrates how Python can be taught in a way that is both accessible and genuinely engaging for students. 👉 Register here: https://wix.to/xDUHssS

Small daily improvements lead to massive long-term success. Success in Programming Doesn’t Come from Watching — It Comes from Practicing! I’m excited to share 201 Python Programming Exercises designed to help learners move from understanding concepts to truly mastering them. 💡 Every expert was once a beginner who refused to give up. This collection includes: ✔ 201 Hands-on Exercises ✔ 12 Structured Modules ✔ Beginner to Advanced Level ✔ Real Practice Scenarios ✔ Clear Solutions for Self-Check From data types and loops to functions, classes, file handling, and regular expressions, this guide is built to strengthen your logic, consistency, and coding confidence. 🚀 Remember One problem solved today is one step closer to becoming a better developer tomorrow. If you're serious about improving your Python skills, start practicing today. Discipline beats motivation — but motivation gets you started. 💪 Let’s grow, learn, and build together! #Python #PythonProgramming #LearnPython #Programming #Coding #SoftwareDevelopment #DeveloperLife #100DaysOfCode #TechSkills #ContinuousLearning #SkillDevelopment #GrowthMindset #CareerGrowth #PracticeMakesPerfect #KeepLearning

📚 Just completed my own Data Structures & Algorithms guide in Python — from Arrays to Dynamic Programming! As a III ECE student, I always felt DSA resources were either too theoretical or too advanced. So I decided to build my own reference — covering: ✅ Arrays, Linked Lists, Stacks & Queues ✅ Trees, Heaps & Graphs ✅ Sorting & Searching Algorithms ✅ Recursion & Dynamic Programming ✅ Big-O Complexity cheat sheet The biggest lesson? You don't truly understand something until you can teach it. DSA isn't just about cracking interviews — it's about thinking clearly and solving problems efficiently. If you're a student just starting out, my advice: 👉 Don't memorize. Understand the why. 👉 Code every algorithm from scratch at least once. 👉 Consistency beats intensity every time. Still learning, still growing. 🚀 #DSA #Python #Programming #ComputerScience #StudentLife #Coding #LinkedList #LearningInPublic

GITS Academy announcing a bootcamp-python for beginners. 🧠 1. Builds Logical Thinking Python teaches kids how to think step-by-step. Improves problem-solving skills Helps in math and everyday decision-making 💻 2. Easy to Learn (Beginner-Friendly) Simple, readable syntax (looks almost like English) Less confusing than many other programming languages Kids can start creating things quickly 🎮 3. Create Fun Projects Kids can build: Games 🎮 Simple apps 📱 Animations 🎨 Cool automation tricks 🤖 Learning becomes fun, not boring. 🚀 4. Future Career Advantage Python is used in: Artificial Intelligence (AI) Data Science Web Development Starting early gives kids a huge head start. 🎯 5. Boosts Creativity Coding is like building with ideas. Kids can turn imagination into real projects Encourages innovation and experimentation 🏆 6. Improves Confidence Completing projects gives a sense of achievement Kids feel proud creating something on their own. #python #pythonforkids #pythonforschoolkids #pythononline #summercamppython

🚀 Want to learn Python from Stanford—for FREE? Applications are open for Code in Place 2026! This is Stanford's legendary CS106A intro to Python course, taught entirely online with a unique twist: 1 teacher for every 10 students. No prior coding experience needed. What you get: ✅ Stanford lecture videos from Professors Mehran Sahami & Chris Piech ✅ Weekly small-group sections with trained volunteer teachers ✅ A sharable portfolio of projects hosted by Stanford ✅ 6 weeks, 7 hours/week, completely FREE Since 2020, they've taught 60,000+ students across 120+ countries with a 99.5% recommendation rate. Whether you're a humanities major, career switcher, or just curious about coding—this is built for you. The magic? It's not just the curriculum (30 years in the making). It's the community. Students from physicists to philosophers, all learning together with personalized support. Class starts April 2026. No prerequisites. No tuition. Just curiosity and internet access. 🔗 codeinplace.stanford.edu https://lnkd.in/gm4tr2JA #CodeInPlace #Stanford #Python #LearnToCode #TechEducation #FreeCourse #CareerDevelopment #ProgrammingForBeginners

Every good project starts with handwritten notes, messy loops, and a lot of learning 📒✨ Currently learning and practicing Python from *w3schools.com**, and today I explored one of the most practical concepts — reading data from a file and counting words using loops, dictionaries, and conditions 💻 What looks simple on paper actually builds strong programming habits: breaking problems into steps, applying logic, and writing code that solves real-world tasks. From `input()` and `open()` to splitting lines, counting repeated words, and finding the most frequent word in a paragraph — this small exercise helped me understand how powerful basics can be 🚀 Grateful for platforms like W3Schools that make learning so simple and structured. Every line of code begins as an idea. Every idea becomes stronger with practice. #Python #CodingJourney #W3Schools #Programming #LearningInPublic #BCA #StudentDeveloper #CodePractice

🚀 Many students struggle with Python & AI… not because they are difficult, but because they aren’t explained in a simple way. 👩🏫 I’m Neeru, a Computer Science teacher with 8+ years of experience teaching CS, Python & AI. My focus is to break down concepts into easy, clear steps so students actually understand — without stress or confusion. 💡 Whether it’s coding basics, logic building, or exam preparation, I make sure learning feels simple (and a little less scary 😄). 🎯 1:1 Online Classes 🎯 Beginner-friendly approach 🎯 Free demo class available 📩 If your child needs help with CS, Python, or AI, feel free to Email me 🙂 Email ID: neerunagi.2017@gmail.com LinkedIn: https://lnkd.in/gPn_Er9k

🚀 Day 5 of My 30 Days Learning Challenge – Control Flow (Conditional Statements) Today, I explored control flow in Python, focusing on how programs make decisions using conditional statements. This is a key concept that allows programs to behave dynamically based on different inputs or conditions. I learned how to use: 🔹 "if" statements – to execute code when a condition is true 🔹 "elif" statements – to check multiple conditions 🔹 "else" statements – to define a default action when all conditions fail Here’s a simple example: age = 18 if age > 18: print("You are an adult") elif age == 18: print("You just became an adult") else: print("You are underage") This concept is powerful because it introduces logic into programming, enabling us to build smarter and more interactive applications. 💡 Key takeaway: Control flow is the backbone of decision-making in programming, and mastering it is essential for solving real-world problems. Looking forward to building more logic-driven programs as I continue this journey! 🔥 #M4aceLearningChallenge #Day5 #Python #LearningChallenge #AI #MachineLearning #Programming #TechJourney

Consistency Over Motivation: The Real Key to Learning Python 💡🐍 Many learners begin their Python journey with strong motivation. The excitement of starting something new creates early momentum—but that energy often fades when challenges arise ❌ What truly separates successful learners is not motivation… It’s consistency 🔑 💡 Real progress comes from: • Solving small problems every day • Learning from mistakes instead of avoiding them • Building knowledge step by step Every line of code you write: ✔ Strengthens logical thinking ✔ Improves problem-solving skills ✔ Builds lasting confidence Python is easy to start… but mastery is earned through consistent effort 🚀 📌 Just 1% improvement every day leads to powerful long-term results Consistency isn’t just a habit— it’s a professional advantage in today’s tech-driven world 🌍 Follow and Connect: Woongsik Dr. Su, MBA #Python #LearnPython #Coding #Programming #DeveloperJourney #Consistency #TechSkills #GrowthMindset #ProblemSolving