Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

When I refer to Python, I don’t mean to use a dedicated Python app in favor of Excel. Of course, it comes with several ...

Python and Power Query are both effective tools for cleaning and transforming data, but they cater to different user groups and use cases ... required for data preparation. Power Query’s ...

Most APIs will return results in JSON format. We need to parse the data in this format into Python dictionaries. You can use the standard JSON library to do this. When you use the requests library ...

By the end of this book, you’ll be proficient in data cleaning and preparation techniques for both structured and unstructured data.

Analysts can perform data transformation and preparation tasks using the integrated ... analytics using a cloud-native SQL editor or using Python or R notebooks. Analyst Studio is integrated ...

Next, we’ll illustrate how to implement panel data analysis in Python, using a built-in dataset on firms’ performance from the `linearmodels` library that follows from the example discussed above.