Python for Neurodiverse Learners Simplified

Coding is more than syntax; it is a new literacy. Learning Python logic builds structured thinking and problem-solving skills that apply across all subjects. Inclusive Creative Teaching makes these skills accessible. Explore: missict.com #Python #Coding #SEN #STEM

#FREEAICOURSE Stanford’s "Code in Place" 2026: Launched April 20, 2026, this world-renowned free introductory Python course now features a massive "AI for Educators" support track to help teachers build their own grading or lesson-prep tools. https://lnkd.in/gycuCt8d #CodeInPlace #StanfordUniversity #PythonProgramming #LearnToCode #FreeCourses #AIforEducators #EdTech #TeachersWhoCode #FutureOfEducation #TeachingWithAI #Python #ArtificialIntelligence #Programming2026 #ComputerScience #DataScience #EducationForAll #CodingCommunity #StanfordEngineering #LifelongLearning #TechForGood

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

Most beginners think learning Python = learning how to code. That used to be true. Now AI can write a big part of your code. But it still can’t decide: what to build, how to structure it, and what trade-offs to make. That’s what I showed students today — how Python actually works in real products. Because developers who only write code will struggle. Developers who think will stand out. #python #backend #softwareengineering #ai #programming #itcareer #students #learning #tech #development

I recently started exploring how AI can help in learning coding faster 💻 One interesting thing I discovered 👇 With the right prompt, you can generate complete code in seconds 🤯 This can really help beginners who struggle with: Understanding logic Practicing consistently Building confidence So I created a small collection of AI prompts for coding practice (C, C++, Java, Python, SQL) If anyone is interested in trying this approach, feel free to comment “AI” or message me 📩 #AI #Coding #Learning #Students #Programming

Programming languages need to be simplified before children can learn them. → We disagree. At Adullam Academy, → we teach Python to students as young as 8. → Not a simplified version. Why it works: ↳ Python's syntax is close to natural language, → reducing the learning curve dramatically ↳ Students build real, deployable applications ↳ The confidence that comes from writing real code is irreplaceable In 8 weeks, ↳ our students (8-18) integrate foundation AI models and ↳ ship a working app prototype. That's what's happening right now in our current cohort. →Follow our page as we document this cohort in real time.

Engaging Python Beginners Is Important. I am excited to be invited to work with a group of students from the School of Economics and Business (University of Ljubljana). This way I will see my new approach to Python in real time. The biggest classroom challenge I face is maintaining momentum when Python assignments become too long or too deeply linked. My teaching philosophy is clear: the whole class moves forward together, meaning every student must complete the assignment before we proceed. While this is essential for guiding the classroom, it makes longer code difficult for total beginners. My solution is to structure Python learning in a game-like way, using short, completely self-contained assignments. The brilliant idea is to encapsulate each task within its own scope. This way, even if the overall project’s purpose stretches across several challenges, students always begin with a prepared environment. Drawing inspiration from structured visual block-based programming methods, where we give beginners a pre-set state: functions are already defined, structure is provided, and they concentrate only on adding their specific piece of code. This scaffolding allows Python beginners to work within a larger, more meaningful codebase, rather than just writing limited lines of code to showcase a single concept. This approach ensures accessibility, keeps the learning engaging, and helps every student gain the foundational computational thinking skills they need. I look forward to observing the real-time response from students as we roll this out. #Python #CodingEducation #EdTech #TeacherLife #ComputerScience #DigitalLiteracy #InnovationInEducation #CobieAI

People ask me how I learned so much about GenAI, and I tell them I owe a lot of it to learning to code in Python. Through coding, I learned that: * Machines process language through patterns and rules that respond to what you actually write. * Systems follow the logic you give them, not the intention you had in your head. * Clarity in the instruction determines clarity in the result. * When steps are organized and sequenced, the outcome becomes more predictable. * Caveman talk works. Simple, direct, effective communication produces the best results. * Reading and practice helps to build your knowledge over time. * Developing the persistence to understand how things work helps you code better! * Attention to detail makes the difference. Small errors in your code can change the entire output. * Continuous learning is important because there is always a new library or an updated version. * Progress comes from iteration and refinement of the code. * Logic is important, but creativity shapes what you make! #teachingpython #GenerativeAI Teaching Python Podcast

📚 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