Essentials

🔗 Joining DNA Sequences in Python | join() | Python for Bioinformatics 📝EN In this video, we learn how to join DNA sequence fragments in Python using the join() method. When working with biological sequences, we may have DNA fragments stored separately and need to combine them into a single continuous sequence. Python’s join() method provides a simple and efficient way to do this. In this lesson, you’ll learn: 🧬 What join() does 🐍 How to use the join() method in Python 🔗 How to combine multiple DNA fragments into one sequence ➖ How different separators affect the resulting sequence 🧬 How to join codons to create a continuous DNA sequence 💻 How join() can be applied to bioinformatics sequence data 🧠 A short practice problem to reinforce the concept This video is part of the Python for Bioinformatics series, designed for beginners from biology, biotechnology, bioinformatics, medical, and other life-science backgrounds. 📌 Next topic: Removing Unwa...

🔗 Moodle 5.2 + Ollama: Set Up Local AI with Llama 3.2 (Step-by-Step) 📝EN Welcome back to MoodleClicks! In this Moodle 5.2 tutorial, you'll learn how to connect Ollama with Moodle 5.2 and configure Moodle to use a locally hosted Llama 3.2 3B AI model. In the previous video, we installed Ollama on our Moodle server, downloaded the llama3.2:3b model, and tested our local AI model. In this video, we'll take the next step and connect Ollama to Moodle using its Ollama API provider. We'll configure Moodle's AI settings, enable AI placements, and test AI-powered features directly inside a Moodle course. What you'll learn ✅ How to allow Moodle to communicate with Ollama ✅ How to configure Moodle's cURL security settings ✅ How to allow Ollama's default port 11434 ✅ How to create an Ollama API provider in Moodle 5.2 ✅ How to configure Moodle AI actions ✅ How to use the llama3.2:3b model with Moodle ✅ How to configure Moodle AI placements ✅ How to enable C...