The power of Python trumps Excel workbooks.

SlothDB is a from-scratch C++20 embedded SQL database in active development. Same model as DuckDB and SQLite: query Parquet, CSV, JSON, Arrow, Avro, SQLite, and Excel files directly with SQL, ...

This article is not about ethics, privacy, security, ownership, or corporate governance — I am going to circumvent all of this here by using some made-up data relating to supermarket sales: Here, I ...

Understand the core components of a modern data pipeline. Learn how to use Python libraries like Pandas and Airflow for automation. Discover best practices for error ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Import a Firebird 1 database to pandas dataframes, show a summary of the database table names, field names, field data types, and index columns, optionally extract and save table data to a directory, ...

Working with data is an inevitable part of programming, and as someone who often finds themselves knee-deep in various file formats, I’ve always appreciated how Python simplifies the whole process.

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

Joins can be a challenging concept to grasp in data science, but with the right examples and explanations, they can become much clearer. Let's dive into the concept of joins by using a different ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...