Articles · points of view · data hacks
Points of view for leaders, practical data hacks for practitioners, and conversations from our webinars and podcast.
Data Hacks · May 2021
Often times, data professionals need to deal with data sizes that are larger than their local machine's memory. How to efficiently manage memory while being able…
Read →Data Hacks · May 2021
We were told tuples are immutable data structures when we first learned Python, but this is not absolute. If you pass in a mutable data structure,…
Read →Data Hacks · Apr 2021
In this continuation of our three-part series, we delve into the risks associated with using mutable data structures as default parameters in Python functions. Gain insights…
Read →Data Hacks · Apr 2021
In this edition of Data Hack Tuesday, we explore the common pitfalls associated with mutable data structures in Python. Dive into the concepts of reference, shallow…
Read →Data Hacks · Apr 2021
In this week's Data Hack Tuesday, we tackle the common challenge of mixed data types within columns in data tables. Explore three indispensable techniques for cleaning…
Read →Data Hacks · Mar 2021
In Python, the choice between using lists and sets as data structures often depends on the specific task at hand. Lists are ideal for looping operations,…
Read →Data Hacks · Oct 2020
Customize your data pipeline by applying unique transformations to each column effortlessly.
Read →Data Hacks · Oct 2020
Python's sklearn library empowers you to perform linear regression with precision. Dive into the make_regression() function and gain full control over your dataset's characteristics.
Read →Data Hacks · Sep 2020
Choosing the right analytics approach is key. Descriptive analytics reviews past data, Predictive analytics forecasts the future, and Prescriptive analytics guides your organization on what actions…
Read →Data Hacks · Sep 2020
Data security is paramount in the era of remote work. Discover why downloading data to spreadsheets poses risks such as loss of control, file exploitation, and…
Read →Data Hacks · Sep 2020
Excel's database functions provide a user-friendly way to manipulate data. Explore DCOUNT, DMAX, DMIN, and DSUM to efficiently parse and analyze information from your lists.
Read →Data Hacks · Sep 2020
In Python, methods and functions may seem similar, but they serve distinct purposes. Explore how methods interact with objects within classes, while functions are standalone blocks…
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