Fundamentals of Python for Financial Econometrics

Chapter 7: Files, Paths, Projects, and Reproducibility

How can a project find its data tomorrow, on another computer, and after being uploaded to a website?

Loading notebook...Build a portable project treepathlib and relative pathsSeparate raw, frozen, processed, and generated filesRecord versions, sources, and random seeds

Notebook lab guide

Related dataset

Ceteris Lab teaching sample

Estimated time

35 to 55 min

Packages

pandas, numpy

Expected output

Printed Python results that can be compared with the lesson explanation.

Learning goals

Load and inspect Ceteris Lab teaching sample.
Run the Python cells connected to Files, Paths, Projects, and Reproducibility.
Interpret the output using Build a portable project tree and pathlib and relative paths.

Common errors

File not found: check that wage_sample.csv is installed or use the course data folder.
Package import error: use the browser notebook first, then download for local Jupyter if your local packages differ.
Column name error: compare your variable names with the dataset variables listed for this notebook.

Dataset path helper

import pandas as pd

df = pd.read_csv("/data/wage_sample.csv")
df.head()

Loading notebook runner...