README.md

<style> body { font-family: "Gentium Basic", Cardo , "Linux Libertine o", "Palatino Linotype", Cambria, serif; font-size: 130% !important; } code { padding: 0 .25em; white-space: pre; font-family: "Tlwg mono", Consolas, "Liberation Mono", Menlo, Courier, monospace; background-color: #ECFFFA; //border: 1px solid #ccc; //border-radius: 3px; } kbd { display: inline-block; padding: 3px 5px; font-family: "Tlwg mono", Consolas, "Liberation Mono", Menlo, Courier, monospace; line-height: 10px; color: #555; vertical-align: middle; background-color: #ECFFFA; border: solid 1px #ccc; border-bottom-color: #bbb; border-radius: 3px; box-shadow: inset 0 -1px 0 #bbb; } h1,h2,h3,h4,h5 { color: #269B7D; font-family: "fira sans", "Latin Modern Sans", Calibri, "Trebuchet MS", sans-serif; } </style>

Data Analysis with Python and PySpark

This is the companion repository for the Data Analysis with Python and PySpark book (Manning, 2022). It contains the source code and data download scripts, when pertinent.

Get the data

The complete data set for the book hovers at around ~1GB. Because of this, I moved the data sources to another repository to avoid cloning a gigantic repository just to get the code. The book assumes the data is under ./data.

Mistakes or omissions

If you encounter mistakes in the book manuscript (including the printed source code), please use the Manning platform to provide feedback.

---

Note on relative paths and program execution

When I execute a *.py file in my PyCharm IDE it has the directory containing that file as the root of the execution.

Therefore, the root of execution would be ~/git/DataAnalysisWithPythonAndPySpark/code/Chxx in my configuration. The book, however, assumes the root of the project ~/git/DataAnalysisWithPythonAndPySpark to be the root of the execution.

Hence, we change the relative path to a data resource from ./data/$specific_data_dir to ../../data/$specific_data_dir.

e.g. in src/Ch04/checkpoint.py

DIRECTORY = "../../data/broadcast_logs"

instead of

DIRECTORY = "./data/broadcast_logs"

and whenever we want to execute a *.py file from the bash terminal, we go into the directory, which contains the python file, e.g.:

~/git/DataAnalysisWithPythonAndPySpark$ cd src/Ch04
~/git/DataAnalysisWithPythonAndPySpark/src/Ch04$ spark-submit ./checkpoint.py

---