Quickly get up to speed with Airtable and learn when it’s the right tool for you — Why use Airtable? Airtable combines the power of a database with the convenient user interface of a spreadsheet. Then it adds some cherries on top, too. 🍒 It’s a solid choice for many use cases. If you’re setting up a team without a data pro and you want automation, organization, and insights you…

Pandas memory reports can mislead — learn how to see the real usage and save memory! — The pandas library is THE tool for data cleaning, data prep, and data analysis in Python. Once you find your way around it’s expansive API, it’s a joy to work with. 🎉 Pandas stores your data in memory, which makes operations zippy! 🏎 The downside is that a large dataset…

A cheat-sheet for the major changes — Scikit-learn version 0.24.0 is packed with new features for machine learning. It arrived just in time for the New Year. Let’s look at the highlights! ☃️ 1. Faster ways to select hyper-parameters HalvingGridSearchCV and HalvingRandomSearchCV join GridSearchCV and RandomizedSearchCV as less resource-intense members of the hyper-parameter tuning family. The new classes choose the best hyper-parameters using…

NumPy is a library that every data scientist who uses Python should be familiar with. It is the backbone on which the modern Python data science stack built. The library is often picked up in pieces along your learning journey. Eventually, it makes sense to learn the key parts of…

Plus when to use Miniconda, Anaconda, conda-forge, and pip for a conda good time 😁 — Python is the most popular language for data scientists. 🐍 Conda is the most common tool to create a virtual environment and manage packages for data scientists using Python. Unfortunately, figuring out the best way to get conda on your machine and when to install packages from various channels isn’t…

Tips and libraries to speed up your Python code — Dealing with big data can be tricky. No one likes out of memory errors. ☹️ No one likes waiting for code to run. ⏳ No one likes leaving Python. 🐍 Don’t despair! In this article I’ll provide tips and introduce up and coming libraries to help you efficiently deal with…