Python for Finance: getting stock data with pandas datareader

Today we explore how to import stock data from yahoo finance with pandas datareader using python. We also explore how to visualise and subsection stock data in pandas dataframe form. Using pandas describe method we are able to quickly derive useful information from specific stocks, and with the .plot method we can graph stock data with both matplotlib and/or plotly extremely easily.

As a high-level programming language, Python is a great tool for financial data analysis, with quick implementation and well documented API data sources, statistical modules and other frameworks related to the financial industry. We will be using Jupyter Lab as an interactive web browser editor for this series due to ease of use, and presenting code in a live notebook is ideal for this tutorial series.

This is the first video of many on the topic of Python for Finance. The series will include general techniques used for financial analysis and act as a introduction for more in depth tutorials that we may explore later (such as time series modelling, building financial dashboards, machine learning ect.).

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