Using the unlikely pairing of Tablesaw for Java & Jupyter Notebooks (Google Colab), we’ll review very basic techniques for calculating portfolio statistics. Yahoo Finance will provide the Financial Data Sets for our analysis.

Use Java and a YahooFinance Client to download and analyze Financial Datasets with a popular DataFrame library (Tablesaw).

Quickly create a database using Amazon Web Services to store the Financial Statements we plan to use to create the world’s next best money pit…

Use Tablesaw for Java to Build Dataframes for Analyzing Balance Sheets, Income & Cash Flow Statements, etc.

Read/Write Parquet with Tablesaw in Java on Google Colab (Jupyter).

Simple Line Charts with D3 on Google Colab Notebooks

Getting Started with D3 on Google Colab Notebooks

Using a Java Wrapper for Plotly to create Visualizations for Google Colab Notebooks (Jupyter) running with a Java Kernel

Simple examples of how to download and import JSON data using Tablesaw, Google Colab, and a few relevant and handy libraries.

Using Google Colab, Terraform & the AWS CLI to setup a database using S3, Glue & Athena.

A quick start to running Apache Spark on Google Colab using Java

Exercise in creating a simple resource (S3 Bucket) in AWS for data storage using Terraform and the AWS Command Line Interface (CLI) from within a hosted Google Colab (Jupyter) Notebook.

IPython has a set of predefined ‘magic functions’ that you can call with a command line style syntax. Magics in IJava, a Java Kernel for Jupyter Notebooks, are very similar to those from IPython.

Examples of the most common Tidy Data concepts and practices using Java and Jupyter Notebooks.