bamboolib - template for creating your own binder notebook

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

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...

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

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

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

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.

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

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

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 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 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.

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.

This portfolio contains projects done using Python programming language to work on real-life data to gain insights. The individual projects cover random topics like defining my own functions, creating my own classes, exploratory data analysis and even predictive modelling using Jupyter notebook.