Generate Fake Profile Datasets with Python

Reduce the downloading/ installing locally process and do most parts remotely and reproducibly — Like many of my peers, I avoid installing or setting up environments locally as much as I can help it. I try to have a remote environment alternative to work and do/ store 80% of my work remotely. …

Knowing how to read an airflow DAG script — The first I saw a Dag script, apart from the fact it was mainly in python and a bit of jinja, I found the flow of the script hard to understand. DAG means Direct Acyclic Graph Of course, this could have been due to the complexity of the dag script…

Knowing your way around Amazon CodeGuru Reviewer and automating code reviews — Sometimes in 2020, AWS launched a new service called Amazon CodeGuru. CodeGuru has primarily two services: The CodeGuru Profiler and the CodeGuru Reviewer. For this article, we would focus more on the CodeGuru Reviewer. What is the Codeguru reviewer? According to the AWS User Guide, Amazon CodeGuru Reviewer is a service that uses program analysis…

How I adjusted sales demand forecast by developing an index using casual inference — 2020 was a shock wave for the world, especially for existing machine learning models in production and their ability( or lack of) to forecast correctly future business demands. Businesses either profited from this drastic change( significantly or otherwise) or suffered from it. …

How I use a bash script I created to automate it — If you are like me, you learn by creating pet projects. Kaggle.com is an excellent source of pet projects data ( among other things). I also use Deepnote as a workspace to build my pet projects. Again, this is because it has everything I can want in an environment like…

How to use Pulp python library as an optimization method to decide if dynamic pricing makes sense — This is a two-part case study where we define the optimization problem in part one, and we use the Pulp python library as a tool to solve the business problem in part two. Introduction From the previous post, we were able to define the decision variables, objective function, and constraints. …

Deciding how many smartphones to have for each brand and if dynamic pricing makes sense — This is a two-part case study where we define the optimization problem in part one, and we use the Pulp python library as a tool to solve the business problem in part two. Introduction Optimization problems are the dilemma of any business. This can come in two decision-making: either maximation and…

How to use DataBricks widgets and other things in between — Introduction I recently started using DataBricks more frequently in the past 2 months, and I have had many mood swings about it. One minute I am super impressed, and the other minute, I abhor it. …