A brief intro to how data can be manipulated using Python, ranging from selecting to aggregating. Transforming logic into code is easier than expected if you know what to search for.
Presenter: https://github.com/Eve-ning
Presentation & Notebook: https://github.com/Eve-ning/MLWeek-D1/tree/master/src
00:00 Data Preparation - Intro
01:00 I/O - Importing & Exporting CSV
01:46 DataFrame - Intro
02:27 DataFrame - Selecting
03:34 DataFrame - Splitting
04:12 Python - Named Parameters
04:56 DataFrame - Aggregating/Group By
06:50 Jupyter Notebook - Intro
07:10 Jupyter Notebook - Viewing the Data
07:59 Jupyter Notebook - Selecting
09:03 Jupyter Notebook - Tutorial 3.1
10:10 Jupyter Notebook - Splitting + Tutorial 3.2
10:50 Jupyter Notebook - Aggregating/Group By
12:00 Jupyter Notebook - Tutorial 3.3
12:45 Jupyter Notebook - Unique
13:30 Jupyter Notebook - Tutorial 3.4
13:43 Jupyter Notebook - Joining
16:22 Jupyter Notebook - Tutorial 3.5
