Paul Barnabas's starred repositories
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
getting-a-gig
Guide for getting a gig as a tech student.
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
genai-stack
Langchain + Docker + Neo4j + Ollama
PowerBI-CSharp
Welcome to the .NET developer community for Power BI. Here you will find resources for the .NET SDKs for Power BI Embedded V2.0.0
pythondataanalysis
Python data repo, jupyter notebook, python scripts and data.
fabric-samples
Samples and data for Microsoft Fabric Learn content
Fabric-Readiness
A collection of useful materials for presenters interested in topics related to Microsoft Fabric
Local-Data-LakeHouse
Sample Data Lakehouse deployed in Docker containers using Apache Iceberg, Minio, Trino and a Hive Metastore. Can be used for local testing.
FX-Signal-Copier-Telegram-Bot
Telegram bot used to enter trades directly from platform onto MT4 account with calculated trade information.
tutorial-connector-dev-bot
Code for "Chat with your data using OpenAI, Pinecone, Airbyte and Langchain" tutorial
metabase-traefik-compose
A docker compose file to deploy a production ready Metabase instance
customer-segmentation-analysis-product-recommender-system
Analyse customer segmentation, sentiment on product review, and built a product recommender system
real-time-analytic
This repo gives an introduction to setting up streaming analytics using open source technologies
Data-Engineering-with-Databricks-Cookbook
Data Engineering with Databricks Cookbook, published by Packt