Analyzing intraday and overnight stock returns with pandas
There are big differences between overnight and intraday stock returns. This article shows how to use pandas to understand one big reason.
Analyzing stock data near events with pandas
Stock returns can be heavily impacted by certain events. Sometimes these events are unexpected or a surprise (natural disasters, global pandemics, terrorism) and other times they are scheduled (presidential elections, earnings announcements, financial data releases). We can use pandas to obtain financial data and see the impacts of events the returns of stocks. In my …
Financial market data analysis with pandas
Pandas is a great tool for time series analysis of financial market data. Because pandas DataFrames and Series work well with a date/time based index, they can be used effectively to analyze historical data. By financial market data, I mean data like historical price information on a publicly traded financial instrument. However, any sort of …
Jupytext – Jupyter notebooks as Markdown documents or Python scripts
Jupytext is a Jupyter plugin that allows you to convert Jupyter notebooks to Markdown or Python script files and back again.
Version control for Jupyter notebooks
Jupyter notebooks are hard to diff and merge since they contain both code and output, but tools and practices can make version control easier.
Building Jupyter notebook workflows with scrapbook
The scrapbook library allows you to save state inside the notebook file itself, making it easier to develop workflows using Jupyter notebooks.
Parameterizing and automating Jupyter notebooks with papermill
Have you ever created a Jupyter notebook and wished you could generate the notebook with a different set of parameters? If so, you’ve probably done at least one of the following: Edited the variables in a cell and reran the notebook, saving off a copy as needed Saved a copy of the notebook and maybe …
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Indexing time series data in pandas
Indexing time series data in pandas is similar to other types, but there are a number of convenient functions unique to time series.
How to iterate over DataFrame rows (and should you?)
One of the most searched for (and discussed) questions about pandas is how to iterate over rows in a DataFrame. Often this question comes up right away for new users who have loaded some data into a DataFrame and now want to do something useful with it. The natural way for most programmers to think …
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4 ways to run Jupyter notebooks
Jupyter notebooks are a popular way to share data and code, and there are multiple ways to run and edit notebooks.