When it comes to Data Analysis, both R and Python have become staples in the data science toolbox. But which one should you reach for when you’re about to dive into your next dataset? Let’s break it down. R: The OG of Data Analysis Pros: Cons: Python: The Jack of All Trades Pros: Cons: The Showdown: EDA Visualizations R’s ggplot2 is arguably more intuitive and offers a lot of customization. Python’s matplotlib and seaborn are powerful but require more effort…
Today we are going to explore some of the ways you can connect to sql databases with python. A few examples of why you would want to do this are: Querying large data sets without the need to store the data in an intermediate step. To combine data from several disparate databases. To use as a wrapper for an application (sqlite, mariadb, etc) Extracting data from an application with a hosted database. Let’s dive in and explore the different ways…
Machine learning isn’t a mythical beast that only appears every 6 years when you park a 2014 Toyota Prius next to a dumpster in Buford Wyoming. It is just a form of statistics that has gathered a lot of hype. It is about finding patterns in massive data sets, find a pattern and then apply that to something. There are a lot of different ways to find patterns and they are not necessarily complicated. Today I’m going to provide a…