Strategies for efficiently planning and organizing your data science projects through manual installation, Cookiecutter, or a cloud service. — A successful data science project requires careful planning and organization throughout its phases. Whether you prefer manual organization or an external tool, you can use various strategies to streamline your workflow. This blog post will explore three main strategies to organize your data science project:

Simplify your testing process and enhance code quality with Pytest — Are you tired of spending hours debugging your code and fixing errors that could have easily been prevented? We know how frustrating it can be to have code that doesn’t work correctly, especially when you’re under pressure to deliver results. But fear not! There’s a solution: Pytest. Pytest is a…

A quick tutorial on how to write proper prompts to make ChatGPT generate diagrams — You probably know that ChatGPT is impressive at generating text. Did you ever imagine it could also create stunning diagrams for you? Don’t worry if you haven’t heard about it yet, because I am here to tell you all about it. In this article, we’ll show you how to unlock…

Read this book if you want to boost your data storytelling skills. — Brent Dykes, the author of this great book, does not simply explain how to build stories from data; he is a great storyteller himself. The book is a great story that Dykes reveals page after page. While reading this book, I had the impression of reading a novel where the…

Learn about slow change dimensions (SCD) and how to implement SCD Type 2 in VDK — Data is the backbone of any organization, and in today’s fast-paced world, it is crucial to keep track of its versions. As businesses grow and evolve, data undergoes numerous changes that can quickly become overwhelming without a streamlined system. Technology has come to our rescue with various tools that help…

A quick tutorial on extracting custom entities from a text — Are you tired of using generic named entity recognition (NER) models that don’t quite fit your specific needs? Look no further! This article will guide you through creating a custom NER in Spacy 3.5. With a few tweaks and training data, you can have a model that accurately identifies entities…

An overview of how to use Comet to perform data storytelling, focusing on Comet panels and reports — Data storytelling involves visualizing complex data to communicate insights or information. Comet offers a powerful feature set for creating compelling data stories through its interactive panels and detailed reports. This article will introduce the Comet panels and reports and the best practices for crafting a successful data story.

A data visualization tutorial on how to build three different maps in Python Altair: choropleth map, dot density map, and proportional symbol map — For data scientists, visualizing data is an essential skill. It helps to quickly understand patterns and correlations in the data that would otherwise be missed. Geographical maps are a great way to visualize spatial data and can be used to explore trends in different countries or regions.

A comparison among the DataOps, Data Engineering, and Data Science roles. — Data Operations (DataOps), Data Science, and Data Engineering are three closely related fields in data management and analytics. While Data Science involves the development of statistical and machine learning models to extract insights and make predictions from data, DataOps focus on the processes and tools used to manage, integrate, and…