A Quick, Interactive Approach to Learning Analytics with SQL
-
Updated
Jan 15, 2021 - Jupyter Notebook
A Quick, Interactive Approach to Learning Analytics with SQL
Open-source importing extension for SketchUp 2017 or newer.
Add data in bulk to elasticsearch. It supports data streaming from PostgreSQL or Filesystem
Export and import content and other data from and to Plone
Data Science Certificate: Introduction to R at Data Sciences Institute University of Toronto (Summer & Fall 2022). The vast amount of data produced by evolving information technology requires tools and skills. R is a free, open-source language and an environment that could be used for data sciences. This course covers topics in R and data sciences
A set of useful MEL scripts for correcting imported OBJ/DAE/FBX models in Autodesk Maya
A simple program with a UI for exporting video to png and encoding png images to video using FFmpeg, for the purpose of upscaling.
A guide of how to use the BookingBug Importer. Bundled with a set of helpful tools.
A modular approach to handling JSON.
This module covers the different ways in which we can move data between our database and our analytics tools. It also explores some of the advanced functionality in Python including SQLAlchemy and Pandas, which enabled us to perform data visualization.
Java library aiming to make importing and validating excel contents easy and safer
Add a description, image, and links to the importing topic page so that developers can more easily learn about it.
To associate your repository with the importing topic, visit your repo's landing page and select "manage topics."