- Hands-On Data Science and Python Machine Learning
- Frank Kane
- 72字
- 2021-07-15 17:15:06
Numerical data
Let's start with numerical data. It's probably the most common data type. Basically, it represents some quantifiable thing that you can measure. Some examples are heights of people, page load times, stock prices, and so on. Things that vary, things that you can measure, things that have a wide range of possibilities. Now there are basically two kinds of numerical data, so a flavor of a flavor if you will.
推薦閱讀
- Ceph Cookbook
- Learning RxJava
- PyTorch Artificial Intelligence Fundamentals
- PHP+MySQL網站開發項目式教程
- 信息技術應用基礎
- 程序是怎樣跑起來的(第3版)
- 領域驅動設計:軟件核心復雜性應對之道(修訂版)
- Mastering ArcGIS Enterprise Administration
- Hands-On Nuxt.js Web Development
- 愛上C語言:C KISS
- UI設計基礎培訓教程(全彩版)
- 零基礎學SQL(升級版)
- Koa與Node.js開發實戰
- Mastering Magento Theme Design
- AngularJS Web Application Development Cookbook