Description
Pandas is the Swiss-Multipurpose Knife for Data Analysis in Python. With Pandas dealing with data-analysis is easy and simple but there are some things you need to get your head around first as Data-Frames and Data-Series. The tutorial provides a compact introduction to Pandas for beginners for I/O, data visualisation, statistical data analysis and aggregation within Jupiter notebooks.
Abstract
Pandas is the Swiss-Multipurpose Knife for Data Analysis in Python. With Pandas dealing with data-analysis is easy and simple but there are some things you need to get your head around first as Data-Frames and Data-Series.
The tutorial provides a compact introduction to Pandas for beginners:
- reading and writing data across multiple formats (CSV, Excel, JSON, SQL, HTML,…)
- data visualisation
- statistical data analysis and aggregation.
- work with built-in data visualisation
- inner-mechanics of Pandas: Data-Frames, Data-Series & Numpy.
- working and making the most of indexes.
- how to mangle, reshape and pivot
The tutorial will be provided as Jupiter notebooks.