02-AREAS

Full dataset from the Casualty Actuarial Society's (CAS) loss reserving database. From the CAS website: "Our goal is to prepare a clean and nice data set of loss triangles that could be used for claims reserving studies. The data includes major personal and commercial lines of business from U.S. property casualty insurers. The claims data comes from Schedule P - Analysis of Losses and Loss Expenses in the National Association of Insurance Commissioners (NAIC) database." This package pulls the by line .csv files from the CAS website and creates a tidy data set. Column names were changed from the original data to make them more user friendly.

Create Python apps from scratch using Flask to build routes, serve assets, and build interactive user experiences.

ExampleSite description

I’ve always failed at time blocking. When I found I was in “obliger rebellion”, I found better ways to approach my work.

Dev Concepts e-book collection. Your guide to the fundamentals of software development

In this post, I dissect my Personal Knowledge Management system.

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Empower your Flask application to grow dynamically with intelligent routes and well-structured views.

Learn how to connect Microsoft Excel to a database in Azure SQL Database or Azure SQL Managed Instance. Import data into Excel for reporting and data exploration.

Database Management System for an Insurance Company. Made in PHP. - Insurance-Management-System/l7.sql at master · shah-deep/Insurance-Management-System

Configure Amazon S3 for optimal performance, and load incremental data changes to Amazon Redshift by building an ETL pipeline in AWS Glue.

What is the Incompletion Trigger List in GTD?

IaC uses code to provision, configure, and manage infrastructure. In part one of this IaC miniseries, I will introduce you to the basic concepts and explain some of the benefits.

By extending git on your local machine with just one small Python script, you can see your Cloud Build triggers deployed as you push your code up to GitHub.

The goal of this initiative is to make cloud computing with R easier, by providing robust tools for working with cloud computing platforms.

In this article we will explore how to create custom stored procedures using R which is basically an R function that can be called from a SQL Server stored procedure.

git can be configured to push and pull from many locations at once, enabling you to store your code on two different platforms while only maintaining one local copy. Here’s how to set it up.

Choose your own adeventure and get in the 'usethis' pull request flow with this flow chart.