Let's Learn MCP with Python - Tutorial Series

Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.

Repo: https://github.com/microsoft/lets-learn-mcp-python?tab=readme-ov-file

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One of the best free courses on LLMs is the Recent Advances on Foundation Models course from the University of Waterloo, and it has 21 lectures under these five sections:

1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models

➡️ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/

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Eye control with Python

EyeGestures is an open-source Python library for gaze tracking. It uses regular cameras, webcams, or smartphone cameras to track eye movement, fixations, and blinks, and convert these into events such as cursor control by eye movement.

The JavaScript version allows running everything directly in the browser.

Installation:

$ git clone https://github.com/NativeSensors/EyeGestures.git
$ cd EyeGestures
$ pip install -r requirements.txt

or

python3 -m pip install eyeGestures

Open source code, documentation, and usage examples - click

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In DS or AI/ML interviews, you need to be able to explain models, debug them live, and design AI/ML systems from scratch. If you can’t demonstrate this during an interview, expect to hear, “We’ll get back to you.”

The attached person's name is Chip Huyen. Hopefully you know her; if not, then I can't help you here. She is probably one of the finest authors in the field of AI/ML.

She designed proper documentation/a book for common ML interview questions.

Target Audiences: ML engineer, a platform engineer, a research scientist, or you want to do ML but don’t yet know the differences among those titles.Check the comment section for links and repos.

📌 link:
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