Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)

bamboolib - template for creating your own binder notebook

Reusable Python classes that extend open source PySpark capabilities. Examples of implementation is available under notebooks of repo https://github.com/bennyaustin/synapse-dataplatform

This project focuses on scraping data related to Japanese Whiskey from the Whiskey Exchange website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

This project focuses on scraping all the service locations across Australia and their associated attributes from "Cleanaway" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

This project focuses on scraping data related to video games from the GameRevolution website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

This project focuses on scraping student properties related data from the UK Student Accommodation website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

This project focuses on scraping famous quotes and their related data from the GoodReads website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

This project focuses on scraping all the quotes and their related data from the "Quotes To Scrape" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

This project focuses on scraping all the products and their related info from the "There You Go" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

This project focuses on scraping all the service locations across Australia & New Zealand and their associated attributes from "Suez" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

This project focuses on scraping data related to cafes and coffee shops in London, England from the Yellow Pages (Yell.com) website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

Jupyter Notebooks with different purposes: Social Network WebScrapping, ETL, Selenium WebDriver for Web Testing, Automation using Python, Data Wrangling, Data Transformation, Data Cleaning, Stock Market Analysis, APIs, Machine learning Algorithms, etc...

A series of Jupyter notebooks, to know about Machine Learning, its implementation, and identifying its best practices.

Data transformations toolkit made from jupyter notebook: https://www.kaggle.com/fabiendaniel/customer-segmentation

A Jupyter notebook documentation of an ETL (extract -> transform -> load) data pipeline

This Jupyter Notebook uses Pandas and data visualization libraries. We'll work with the famous Titanic dataset.

The Forbes Billionaires Analysis project provides a comprehensive exploration of the world's billionaires using data from Forbes. The accompanying Jupyter Notebook (forbes-Billionaires-Analysis.ipynb) contains detailed analysis, visualizations, and insights derived from the Forbes billionaires dataset.