Data scientists, this is for you — I dug up LeetCode for DS

DataLemur — a powerful platform that collects real interview problems from Tesla, Facebook, Twitter, Microsoft, and other top companies

Inside: practical tasks on SQL, statistics, Python, and ML. You can filter by difficulty level and company

Top-notch for those preparing for interviews for Data Scientist / Data Analyst roles. Get it here 🍯

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✅ @Machine_learn

Python library that adds Generative AI capabilities to Pandas!

PandasAI analyzes complex data frames and plot visualizations just by using natural language.

GitHub: https://github.com/sinaptik-ai/pandas-ai

https://t.iss.one/CodeProgrammer 🖕

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

https://t.iss.one/CodeProgrammer 🧠

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/

https://t.iss.one/CodeProgrammer 🔗

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

👉 https://t.iss.one/DataScienceN

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