Over time, it’s fascinating to witness how certain concepts, approaches, or visions age. Time, in its inexorable flow, often brings justice to ideas and individuals alike. Such a reflection is pertinent when considering the enduring impact of Ralph Kimball’s groundbreaking book on dimensional modeling for data warehousing and business intelligence.
When we are working with lists, dictionaries, and sets in Python, we have a special syntax, called comprehensions. This feature helps us to improve the readability of our code, providing compact syntax for deriving a new list from another iterable.
Recently, I was dealing with a task where I had to import raw information into a staging PostgreSQL Database as part of a task in the Airflow DAG pipeline. I would like to share the approach used and exposes the valuable Pandas.json_normalize function and how it helps to prepare the data before importing. Reading the…
The release of Python 3.6 came with exciting functionalities. I want to speak about the feature called interpolated format string – f-strings for short- through this quick post. This new feature allows us to have a more readable, concise and even faster way of formatting string, in short words: pythonic code.