🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

interactive notebooks from Planet Engineering

Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.

Contains Example Programs and Notebooks for some courses at Bogazici University, Department of Computer Engineering

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

An example showing how to apply software engineering best practices to Databricks notebooks.

PDF copies of the Engineer's mini notebook series by Forrest M. Mims III

CLI tool that ingests Claude Code sessions, generates LLM summaries, and serves a browsable engineering journal

All Data Engineering notebooks from Datacamp course

Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.

Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.

Practical Jupyter notebooks from Andrew Ng and Isa Fulford's "ChatGPT Prompt Engineering for Developers" course on DeepLearning.AI.

This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices

This repository contains jupyter notebooks and python code for KIT course: Python Algorithms for Automotive Engineering

notebooks produced throughout the Udacity's Nanodegree Data Engineering Course

Your local first engineering notebook

Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.

A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston, TX.

📚 This repository contains course materials for Istanbul Medeniyet University - Computer Engineering courses. It includes lecture slides, notes, books, Jupyter Notebooks, and project files to assist students in their studies. 🚀

ChatGPT Prompt Engineering for Developers Jupyter Notebook. 《给开发者的 ChatGPT 提示工程》学习笔记。 #ChatGPT #Prompt #Prompts #Prompt-Engineering #Prompts-Engineering #Jupyter

This repo contains demo code notebooks accompanying the AIPI 540: Deep Learning Applications course in Duke University's Master of Engineering in AI for Product Innovation program

teemi: A Python package for reproducible and FAIR microbial strain construction. Simulate the entire dbtl-cycle, generate genetic parts, design libraries, and track samples. Open-source Python platform for workflow flexibility and automated tasks, accelerating metabolic engineering. Try teemi with our Google Colab notebooks!

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Jupyter notebooks and Python code to support the lectures of the Electric Circuits I course at the Electrical Engineering Department of the Federal University of Campina Grande (UFCG).

A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.

SysMD is a SysML v2/KerML tool with an intuitive, notebook-style interface that makes getting started easy. What truly sets SysMD apart is its integrated solver, enabling engineering calculations directly within the model while automatically ensuring consistency across constraints and requirements.

Jupyter Notebook that demonstrates LLM-driven voter file data engineering, using LangChain to write SQL and Python

Notebooks in support of of the Part IA (Michaelmas Term) mathematics course at the Department of Engineering at University of Cambridge

Jupyter notebooks (Python) for the course 3M1 at the Department of Engineering, University of Cambridge