A year ago, learning Python meant writing scripts and building APIs. Today, it feels like I’m learning how to build systems that can think. That shift is real. With Agentic AI, Python is no longer just about: • functions • classes • frameworks It’s about creating workflows where: • an agent understands a problem • decides what to do next • calls APIs or tools • adapts based on results ⸻ I recently started exploring this space, and one thing stood out: 👉 You’re not just coding anymore 👉 You’re designing behavior ⸻ There are moments where: You write a piece of code… and the system responds in a way you didn’t explicitly program. That’s powerful. And honestly, a bit uncomfortable too. ⸻ Because now the challenge is not just: “How do I build this?” It becomes: • How do I guide this system? • How do I control its decisions? • How do I trust its output? ⸻ As someone working in integration and architecture, this feels like a major shift. We’re moving from: 👉 predictable systems to 👉 adaptive systems ⸻ And Python is right at the center of this change. ⸻ Curious — Are you still learning Python the traditional way, or exploring it through AI and agentic workflows? ⸻ #AgenticAI #Python #AI #SoftwareArchitecture #TechLearning #FutureOfTech

🚀 Why Python is Dominating the AI Era In today’s fast-evolving AI landscape, one programming language continues to lead the way — Python. But why is Python trending so much in the AI era? Let’s break it down 👇 🔹 Simple & Beginner-Friendly Python’s clean and readable syntax makes it easy for anyone—from beginners to experienced developers—to quickly start building AI solutions. 🔹 Powerful AI & ML Libraries From TensorFlow and PyTorch to Scikit-learn, Python offers a massive ecosystem of libraries that simplify complex AI tasks like machine learning, deep learning, and data analysis. 🔹 Strong Community Support Python has one of the largest developer communities in the world. This means faster problem-solving, continuous updates, and tons of learning resources. 🔹 Versatility Across Domains Whether it’s data science, automation, web development, or AI—Python fits everywhere. This flexibility makes it the go-to language for modern developers. 🔹 Faster Development with AI Tools With tools like AI copilots and automation frameworks, Python enables rapid prototyping and faster delivery—perfect for today’s agile environments. 🔹 Integration Capabilities Python easily integrates with other languages and technologies, making it ideal for building scalable AI systems and APIs. 💡 Final Thought: Python is not just a programming language anymore—it’s the backbone of innovation in AI. If you're looking to step into the AI world, Python is the best place to start. #Python #ArtificialIntelligence #MachineLearning #DataScience #AI #Automation #TechTrends #Programming #Innovation

Built something exciting: CodeMailer AI – turning emails into AI-powered code reviews! Ever wished your inbox could review code for you? I built CodeMailer AI, an end-to-end Python automation tool that transforms Gmail into a smart code reviewer. 💡 What it does: Detects unread emails with Python attachments Analyzes code using advanced AI models (via OpenRouter) Generates structured insights—bugs, logic, execution flow & more Creates a clean, syntax-highlighted HTML report Automatically replies back to the sender with the review ✨ Key highlights: Seamless Gmail OAuth integration Deep AI-powered code analysis with inline comments Beautiful dark-mode HTML reports with Pygments styling Fully automated pipeline (read → analyze → generate → reply) Smart fallback to local files when inbox is empty ⚙️ Built using: Python, Gmail API, OpenRouter (Gemini 2.0 Flash), Jinja2, Pygments This project was a great hands-on experience in combining automation + AI + real-world workflows to build something practical and scalable. Would love your feedback! 🙌 #AI #Python #Automation #MachineLearning #Developers #Projects #OpenSource #BuildInPublic #Hack2Skill GitHub Project Link: https://lnkd.in/gYsGvBJw

Everyone is learning Python. But almost no one knows how to use it with AI. That’s where the real opportunity is. Python isn’t just about syntax anymore. It’s the backbone of AI products. If you're learning Python, do this instead: → Build with AI from day one → Use tools like ChatGPT & Claude to speed up coding → Focus on solving real problems, not just tutorials Start with simple but powerful ideas: • Resume analyzer with AI feedback • Chatbot trained on your own data • Auto email writer for outreach • YouTube/blog summarizer • AI-powered finance tracker Learn APIs. That’s the real game. Python + APIs = Real-world AI apps Don’t chase perfection. Ship fast. 1 live project > 10 unfinished courses Document everything publicly. Your work will speak before you do. Right now, the edge is simple: Python + AI + Projects = Opportunities Don’t just learn Python. Build something with it. Connect Pushpendra Tripathi for more such content  Comment “Python70” and I’ll send the resource.

🐍🚀 Why Python is the Backbone of AI (and Why I Started Learning It Now) I used to think AI tools just “work magically”… Until I realized one thing 👇 👉 Most AI tools are powered by Python 💡 Where Python is Used Today: 🔹 AI & Machine Learning 🤖 🔹 Automation & Testing ⚙️ 🔹 Data Analysis 📊 🔹 Web Development 🌐 🔹 APIs & Backend Systems 🔗 Almost every powerful AI tool you see today… has Python running behind the scenes. 🔥 My Learning Journey Started With: 👉 Google Colab Why? ✔️ No setup needed ✔️ Run Python in browser ✔️ Perfect for beginners ✔️ Easy integration with AI models ⚡ What Changed After Starting Python: 🔹 I understand how AI tools actually work 🔹 I can automate repetitive tasks 🔹 I can build smarter solutions 🔹 I’m no longer just a “user”… I’m becoming a builder 💥 Big Realization: AI won’t replace developers… But developers who use AI (with Python) will replace those who don’t. 🚀 If you’re in tech and still ignoring Python… You’re missing the biggest opportunity of this decade 👉 I’ll be sharing my Python + AI learning journey Comment “Python AI” if you want to learn together 👇 Website - https://lnkd.in/gmDyejdi #Python #AI #MachineLearning #Automation #GoogleColab #Tech #Learning #Developers #FutureOfWork #Coding

Here I go again!!! 🚀🚀🚀 🤯 Are you interested in breaking into Python, new to AI, and looking for a way to learn it all while keeping up with the latest approaches to interactive development? Andrew Ng has you covered. 🤩 I recently completed the 𝗔𝗜 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 course, and I honestly loved it!😍 😍 😍 (Thank you Elizabeth Fuentes Leone for the amazing tip 🥰 ) I not only learned Python, but also practiced integrating AI tools for data manipulation, analysis, and visualization, and much, much more... Andrew teaches the fundamentals while also showing you how to use AI assistants to debug code and explain concepts. Just like you would in real-world development: 𝘥𝘦𝘣𝘶𝘨𝘨𝘪𝘯𝘨 𝘧𝘢𝘴𝘵𝘦𝘳, 𝘶𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥𝘪𝘯𝘨 𝘣𝘦𝘵𝘵𝘦𝘳, 𝘢𝘯𝘥 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘢𝘴 𝘺𝘰𝘶 𝘣𝘶𝘪𝘭𝘥. From the very first module, you’re already building LLM prompts with variables. So exciting! The course includes fun, hands-on exercises such as customizing recipes using lists and dictionaries with AI, extracting restaurant information from journal entries, planning a vacation using CSV files, and working with APIs to fetch data from the web. One of those moments where you stop and think: “𝙒𝙤𝙬, 𝙄 𝙘𝙖𝙣 𝙖𝙘𝙩𝙪𝙖𝙡𝙡𝙮 𝙗𝙪𝙞𝙡𝙙 𝙩𝙝𝙞𝙨.” (And this is sooooo important, especially for beginners ) DeepLearning.AI offers a range of other fantastic courses. It’s a paid platform, but you can explore it with a 7-day free trial (exactly what I did 🤗). 👉 𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗼𝗿 𝗔𝗜, 𝗜’𝗱 𝗹𝗼𝘃𝗲 𝘁𝗼 𝗵𝗲𝗮𝗿 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂. What are you learning right now, or what’s been your biggest challenge so far? Let’s share and grow together. ✨ 🚀 ☁️ 💖 #AI #python #programming #WomenWhoCode #WomenInSTEM #GirlsWhoCode #WomenInIT #TechWomen #WomenInCloudComputing #techforbeginners

Most AI coding assistants fall into one trap — they just give you the answer. Great for shipping code. Terrible for actually learning the patterns. LDS Mentor takes a different approach. It's an AI tutor built into every problem on the platform, and it has two distinct modes depending on what you actually need. Learn Mode is Socratic. It knows the solution, but it will not give it to you. Instead it asks targeted questions, surfaces escalating hints, and walks you through the plan until you arrive at the answer yourself. Ideal when you're preparing for interviews or building real pattern recognition — not just copying a snippet. Interview Mode flips the script. Direct strategy, the patterns that solve the class of problem, and a code skeleton to work from — the kind of coaching a senior engineer would give you five minutes before a live round. Ideal when you need to move fast. Both modes read your code live, explain your errors, and are available on every one of the 1,584 SQL and Python problems in the LDS catalog. Same button — different levels of help, depending on where you are in your learning journey. The underrated part: being able to switch. Stuck? Interview Mode unblocks you. Want to earn the insight? Learn Mode makes you work for it. Try it on any problem: https://lnkd.in/gYW7SyFH #DataScience #MachineLearning #CareerGrowth #LetsDataScience

🚨 Everyone is learning Python in 2026… but for the WRONG reasons. Most people think: 👉 “Python is easy” 👉 “Python is beginner-friendly” That’s not why it matters anymore. Here’s the reality 👇 #Python is no longer just a programming language. It’s the 𝗯𝗮𝗰𝗸𝗯𝗼𝗻𝗲 of AI, automation, and scalable systems. If you look at what’s actually happening in the industry: • AI models → built using Python • Data pipelines → powered by Python • Backend APIs → running on Python (FastAPI / Django) • Automation → replacing manual work using Python • MLOps → deploying models using Python + DevOps 👉 In simple terms: If you want to work on real-world AI systems, #𝗣𝘆𝘁𝗵𝗼𝗻 is unavoidable. But here’s where most people go wrong ❌ They spend months: • Learning syntax • Watching tutorials • Building small projects …and never reach production-level skills. 💡 The shift you need in 2026: Don’t just “learn Python” 👉 Learn how to use #Python to #build, #deploy, and scale real applications That’s the difference between: ❌ Tutorial developer vs ✅ AI Software Engineer I’ve worked across DevOps, system design, and AI backend systems and I can tell you this: 👉 Companies don’t need people who “𝗸𝗻𝗼𝘄 𝗣𝘆𝘁𝗵𝗼𝗻” 👉 They need people who can 𝘀𝗵𝗶𝗽 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘂𝘀𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 --- 🚀 Starting today, I’m sharing a complete roadmap: Python → AI → MLOps → Production Systems If you’re serious about becoming an AI engineer, follow along. Comment “AI” and I’ll share the roadmap 🔥 #Python #AI #MLOps #SoftwareEngineering #Backend #DevOps #CareerGrowth #LearnToCode #mlops #backendwithsan

🚀 Day 7 of My Python Journey — Functions Changed How I Think About Code At some point, every programmer hits this realization: 👉 “Why am I writing the same logic again and again?” That’s where functions step in — not just as a feature, but as a mindset shift. Today, I explored how functions help us write clean, reusable, and structured code — something that every Data Scientist, ML Engineer, and Developer relies on daily. 💡 Here’s what I learned today: ✔ What functions really are (beyond just syntax) ✔ How execution works → Input → Process → Output ✔ Function structure: Definition vs Call ✔ Parameters vs Arguments (formal vs actual) 🔍 Types of arguments I practiced: • Positional • Default • Keyword • *args (variable-length) • **kwargs (flexible key-value inputs) 💭 Big realization: Functions are not just about writing code… They’re about breaking problems into modular, reusable building blocks. And that’s exactly how real-world systems are built — whether it’s a Machine Learning pipeline, a data workflow, or a production-level application. 📌 This is part of my #LearningInPublic journey — building strong Python fundamentals step by step. 🙏 Huge thanks to my mentor Nallagoni Omkar Sir for making these concepts simple and practical. ⏭ Next up: Data Structure's in python 🔥 If you're learning Python too, drop a comment — let’s grow together! #Python #DataScience #MachineLearning #Programming #CodingJourney #100DaysOfCode #AI #Developers #Learning #Tech

I recently built a library management system using Python and Streamlit as part of my AI/ML training journey, and it has been a great hands-on learning experience. 📚 Project Highlights: - Developed a Streamlit-based web app for managing a personal book collection - Implemented core functionalities like adding, updating, deleting, and searching books (CRUD operations) - Used JSON for data storage and handled file operations efficiently - Designed a simple and interactive user interface ⚡ Challenges Faced: - Handling empty and corrupted JSON files - Managing file paths and ensuring smooth data loading - Structuring code by separating backend logic and UI for better maintainability 🚀 What I Learned: Building complete Python applications from scratch - Working with real-world data handling scenarios - Improving debugging and problem-solving skills - Understanding how to turn ideas into functional applications 🔗 Live App: https://lnkd.in/ePUXnGDA 🔗 GitHub Repository: https://lnkd.in/eJ2pE5mj Special thanks to my mentor, Muhammad Awais Mian میاں محمد اویس for his guidance and continuous support throughout this learning process. Excited to keep learning, building, and growing in AI, Machine Learning, and software development. 💡 #Python #Streamlit #AI #MachineLearning #LibraryManagementSystem #CRUD #SoftwareDevelopment #DataHandling #ProjectBasedLearning #CodingJourney #TechSkills #Mentorship #DataScience #DeepLearning