Posts on 19 October 2026

Find the IMDb Rating of Any Movie Using Python! Want to fetch movie ratings with Python? You can use the IMDbPY library to search for movies and retrieve their IMDb ratings with just a few lines of code. What you'll learn: Search for a movie by name Fetch movie details using Python Retrieve its IMDb rating Handle movies that aren't found Example Output: Enter the name of the movie: Titanic The IMDb rating of 'Titanic' is: 7.9 A simple Python project to practice working with libraries, functions, user input, and external data. Save this post and try it yourself! 6 Python Books You Can Download for FREE! https://www.clcoding.com/2025/10/6-python-books-you-can-download-for-free.html

WE’RE GOING LIVE! | October Python Bootcamp — Day 11 Ready to write cleaner, smarter, and more efficient Python code? Today, we're exploring Comprehensions & Patterns in Python — powerful techniques to simplify your code and improve your problem-solving skills. Today's Topics: List Comprehensions Dictionary Comprehensions Set Comprehensions Conditional Comprehensions Nested Comprehensions Python Pattern Problems Problem-Solving Techniques Learn through practical examples, write code with me, and strengthen your Python fundamentals. JOIN THE LIVE SESSION NOW! ▶️ Watch on YouTube: https://youtube.com/live/YUQIEN27urY?feature=share Whether you're a beginner or preparing for coding interviews, this session will help you become a more confident Python programmer. Comment “PYTHON” if you're joining today's live session! Learn. Practice. Solve Problems. Grow.

Python quiz of the Day Python Coding Challenge - Question with Answer (ID 191026) Answer with Explanation: https://www.clcoding.com/2026/10/python-coding-challenge-id-191026.html

Foundations of AI and Machine Learning — Enroll for FREE! Want to build your skills in Artificial Intelligence and Machine Learning? Start learning with this course from Microsoft on Coursera. What you’ll learn: AI and Machine Learning fundamentals Data cleaning and preprocessing Data pipelines and management Machine Learning frameworks, including TensorFlow and PyTorch Model evaluation and deployment AI/ML infrastructure and MLOps Course details: Platform: Coursera Instructor: Microsoft Duration: Approximately 4 weeks Level: Intermediate Learn at your own pace Enroll here: https://www.clcoding.com/2025/11/foundations-of-ai-and-machine-learning.html

10 AI Skills You Need to Know in 2026 AI is evolving fast. Learning to use AI tools is no longer enough. You need to understand how to build, integrate, and manage AI-powered solutions. Here are 10 AI skills worth learning: 1️⃣ Prompt Engineering — Write better prompts. 2️⃣ AI Agents — Build systems that use tools and perform tasks. 3️⃣ Workflow Automation — Automate repetitive work with Zapier, Make, and n8n. 4️⃣ Agentic AI — Build systems that plan, act, and evaluate results. 5️⃣ Multimodal AI — Work with text, images, audio, and video. 6️⃣ RAG — Connect LLMs to your own data. 7️⃣ AEO / GEO — Optimize content for AI-powered search. 8️⃣ AI Orchestration — Connect AI models, APIs, and apps. 9️⃣ AI Content Generation — Create text, images, and videos. 🔟 LLMOps — Monitor AI quality, cost, and performance. My advice: Start with Python and APIs, then learn AI agents, RAG, and LLMOps. You don't need to master everything at once. Build projects and learn by doing. Which AI skill are you learning in 2026?

Free Machine Learning PDF: Pen and Paper Exercises in Machine Learning Want to strengthen your Machine Learning fundamentals without relying entirely on code? Pen and Paper Exercises in Machine Learning is a learning resource for practicing ML concepts through mathematical reasoning and step-by-step problem-solving. What you can explore: Machine Learning concepts and mathematical foundations Problem-solving through pen-and-paper exercises Analytical thinking for ML algorithms Practice to strengthen your understanding of ML theory PDF Length: 211 Pages Resource: Free PDF Read and access the resource: https://www.clcoding.com/2026/08/pen-and-paper-exercises-in-machine.html