This sample demonstrates a data cleaning pipeline with Azure Functions written in Python triggered off a HTTP event from Event Grid to perform some pandas cleaning and reconciliation of CSV files.

Following is what you need for this book: This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based ...

Python: Python, with libraries like pandas, offers extensive functionality for data cleaning and manipulation. However, it requires users to write and debug code, which can be time-consuming.

In this section, we use the open data SFMTA Bikeway Network at San Francisco Data. The data include the network of bike routes, lanes, and paths around the city of San Francisco. Maintained by the ...

Mypy, Pytype, Pyright, and Pyre can help you keep your type-hinted Python code bug-free. Let’s see what each of these useful tools has to offer.

In theory, any Python code is OK as long as it’s syntactically correct and runs as intended. In practice, you want to adopt a consistent style across your projects, preferably one guided by ...

Finally, you’ll build functions and classes that you can reuse without modification when you have new data. By the end of this Data Cleaning book, you'll know how to clean data and diagnose problems ...

This post is designed to spare other SEO pros the same fate. Within it, we’ll cover the Python equivalents of the most commonly used Excel formulas and features for SEO data analysis – all of ...

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites. This workshop builds on the ...