A blog about visualizing, analyzing, and managing data
Source: [https://github.com/datadoodler/ts-00-active-webpack.git]
There are many options for using webpack. These notes won’t be an exhaustive treatise on the subject, but merely cover how to implement webpack for my usage current scenario, namely, the DataDoodler Administration Dashboard.
Basic webpack, and (optionally) the dev server, which provides a basic express app.
1 | npm-install --save-dev webpack, webpack-dev-server |
Demo: http://datadoodler.github.io/ts-05-progressbar-bound-to-promise-array
Source: https://github.com/datadoodler/ts-05-progressbar-bound-to-promise-array/
The application is periodically caching images (asynchronously). Whenever images are being pulled over the wire we want to show the progressbar (angular bootstrap directive) and the percentage complete of the images. Progressbar doesn’t need to show the percent downloaded of a single image, but the percentage of the list of images that have completed (or failed) download.
Welcome to Hexo! This is your very first post. Check documentation for more info. If you get any problems when using Hexo, you can find the answer in troubleshooting or you can ask me on GitHub.
BankerDoodle is an application built on top of the DataDoodler platform. It inherits all the analytical goodness of DataDoodler, but contains features specific to the banking industry.
There are costs associated with how you write code (the patterns you utilize). Highly abstract code that relies on a high degree of inheritance, factories, and dependency injection is easier to change, but harder to understand.
Code that is less abstract is more likely to break something somewhere when you change it. Though it is harder to change, it is easier to understand.
The workings of this directive are illustrated in the following 3 scenarios. In each scenario, after the user initially presses ‘save’, the directive makes a call to the address validation service, injects appropriate html (if needed), waits for a user response, and updates the address fields accordingly.
With a well-defined api, it is possible to have several parties (open source or proprietary like BankerDoodle) develop applications on a single open source platform (DataDoodler).