Figure out what works best for you instead — Morning routines are a little overrated. So many tips and life hacks are centered around making the most out of your mornings, whether it’s by waking up before 6 AM, using fancy gadgets like alarm clock coffee machines, or taking an ice-cold shower straight out of bed. These are all…

Transitioning from SQL to Pandas to improve your data analysis workflow — Data analysts, engineers, and scientists alike are familiar with SQL. The querying language is still widely used across the board for working with relational databases of any kind. However, more and more nowadays, especially for data analysts the technical requirements are going up and people are expected to at least…

Implementing basic data validation on your processed DataFrames with Python — Working with data at scale for machine learning is exciting, but there’s an important step you shouldn’t forget before you even begin thinking about training a model: data validation. Data validation refers to verifying if the data you collect and transform is correct and usable. It would help if you…

Using decorators to see what’s happening to your data in a Pandas processing pipeline — DRY code is one of the keys to efficient programming. DRY stands for “do not repeat yourself”, which is important whether you’re writing code for a personal project or for a large codebase at scale. …

Breaking into intermediate Python with specialized data types for more efficient coding — Python is super easy to get into as a beginner, but that has pros and cons. Coming from a non-technical background, it was really nice to learn the basics over a few weeks and immediately get to coding stuff. …

A look at reframing the experience of getting a little wet and how it might make pancakes taste better — I think getting wet is kind of fun. In general, stepping out of the house and getting wet is not how I want to start my day. When the skies are dark and grey and you can’t take a step without getting drenched, of course rain is no fun. …

An end-to-end example of pre-processing data using method chaining with the pipe method in Pandas — While a lot of attention is spent on making the machine-learning pipeline readable and reusable, it’s also important to make sure the same applies to your data pre-processing pipelines. Before you even get into training a machine learning model, you’ll always need to do some exploratory data analysis, data cleaning…

And what you should be doing afterward — Planning is overrated. Leonard Snart in The Flash TV series came up with my favorite thing to quote when it comes to planning- here are his “4 Rules of Planning”: Make the plan; Execute the plan; Expect the plan to go off the rails; Throw away the plan. I know…

A look into my life playing an “only for tall people” kind of sport — “Hey, wanna join a volleyball team?” It was my first year of high school and my friends said if I didn’t join, everyone that couldn’t make the two existing teams would get cut. If I did, the coach said there would be enough players to make one extra team. I was torn for a bit- I…