My reflections and learnings from the 100 days of code challenge, where I coded for (almost) 100 consecutive days.

In this post, I will introduce the key concepts and terminology used when working on data science projects with Databricks and Apache Spark.

Best practices for coding: practice often, version control, atomic commits, pair programming, and documentation.

This blog post describes how to improve forecasting accuracy on ​​Prophet, an open-source python library for predictive data analysis.

In this post, I will explain how to build a self-hosted website on WordPress.org, and address some of the common questions that come up.

Examples of how programming in R and python, the de-facto standard for marketing technology at scale, can be useful for digital marketers.

This post will explain how to schedule a python script to run daily using Windows Task Scheduler or Cronjobs.