Goodbye, DBeaver! For the terminal lovers, have you checked out Harlequin? It’s a SQL IDE that you can easily install via pip and run right in your terminal. I’ve found it super user-friendly—really straightforward to install and use. Sure, it…
🚀 My personal Hall of Fame of tools and technologies 🛠️ (Python ecosystem edition) These tools and technologies have served me well over the years, so I thought I’d share them: 🔵 Click, Loguru: Creating command line interfaces🔵 dotenv, pyyaml:…
Relying solely on the outputs of machine learning (ML) models without a thorough verification can lead to unexpected results. Continuing from my previous DevLog, I embarked on a project to analyze car prices across various brands using data from AutoScout24.…
As a tech enthusiast and an follower of the “eat your own dog food” philosophy, I’ve embarked on a project that intertwines my passion for cars with my profession in Machine Learning. In this initial development log, I’d like to…
In Snowflake, databases are similar to virtual hard drives where you store data, while warehouses are the virtual compute resources you use to run analytical queries. In today’s data-driven world, having a robust and efficient data management system is crucial…
Deep learning has revolutionized the field of artificial intelligence, providing the backbone for some of the most exciting advancements in the tech world. With the ever-growing need for efficient and powerful machine learning models, the choice of the right deep…
Time series analysis involves examining data points collected over time, with the goal of identifying patterns and trends that can inform future predictions. Here’s a list of all relevant libraries for Time Series Forecasting. Good to have these gems in…
Overview: What is dbt and what can it do for your data pipeline? One tool that we recommend and often use is dbt (data build tool), which focuses on simplifying and accelerating the process of data transformation. In this blog,…