Python Data Science with pandas

Data science is the fastest-growing segment of the Python community and Python is the de-facto language in data science. Well-known speaker and author Matt Harrison joins us to discuss pandas, the hot-topic Python library for data science, and how to use it in a sample application. Matt provides a walkthrough through some of the features of pandas: data ingestion, cleaning, and adding columns. As a demo application to show Python and data science, Matt will analyze bitcoin price data, making a simple model to show whether the price of bitcoin would rise or fall. Contents 03:34 Introduction to Jupyter 06:43 pandas and matplotlib 08:20 Read/view bitcoin csv data 12:24 Setting index 15:00 Aggregation 17:10 Slicing 18:40 Computed columns with assign 21:30 Questions 33:10 Random forest 40:00 ROC Curve 42:55 PyCharm 49:20 Questions Matt will put some material in his GitHub account: https://github.com/mattharrison