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Christine Tham's Projects

devtraining-needit-london icon devtraining-needit-london

This repository is used by the developer site training content, London release. It is used for the Build the NeedIt App, Scripting in ServiceNow, Application Security, Importing Data, Automating Application Logic, REST Integrations, Reporting and Visualizations, and Automated Test Framework courses.

dockercon-2020-demo icon dockercon-2020-demo

Demo code used in my Dockercon 2020 presentation, Using Docker and Compose to simplify integration testing

dof-tool icon dof-tool

A web app to calculate your depth of field when doing photography.

flask-boilerplate icon flask-boilerplate

Boilerplate template for a Python Flask application with Flask-SQLAlchemy, Flask-WTF, Fabric, Coverage, and Bootstrap

generative_ai_with_langchain icon generative_ai_with_langchain

Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.

hello-covid19 icon hello-covid19

This is a simple web app to display real time information about the spread of CoViD-19 around the world. CoViD-19 is an infectious disease caused by a new virus. The source data is obtained from Our World in Data and is based on data collected by the European CDC.

hello-gatsby-old icon hello-gatsby-old

My starter kit for Gatsby projects based on gatsby-starter-typescript-plus

hellocalc-rdb icon hellocalc-rdb

Hello Calculator - an advanced calculator reimaged as a modern app

hyas icon hyas

Hugo starter helping you build modern websites

inferentialthinking icon inferentialthinking

Studying data science enables individuals to bring these techniques to bear on their work, their scientific endeavors, and their personal decisions. Critical thinking has long been a hallmark of a rigorous education, but critiques are often most effective when supported by data. A critical analysis of any aspect of the world, may it be business or social science, involves inductive reasoning; conclusions can rarely been proven outright, but only supported by the available evidence. Data science provides the means to make precise, reliable, and quantitative arguments about any set of observations. With unprecedented access to information and computing, critical thinking about any aspect of the world that can be measured would be incomplete without effective inferential techniques.

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