Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place. You can start Jupyter Notebook ...

CData Software today launched three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData ...

The dbt-databricks adapter contains all of the code enabling dbt to work with Databricks. This adapter is based off the amazing work done in dbt-spark. Some key features include: If you are developing ...

I ditched my terminal for Claude's built-in code executor, and I'm not going back.

This project is maintained again as of 2026-06. The current goal is to keep the original py2neo v3 / Neo4j 3.x example usable for learners, notebooks, and legacy projects while adding a current Neo4j ...

A practical roadmap for data science beginners, covering fundamentals, key libraries, projects, and advanced skills. It focuses on real-world learning, avoiding common mistakes, and building job-ready ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

In celebration of the festive season, schools and colleges are closed in India. This is the right time to enjoy and learn some self-paced courses. In this article, we will be sharing some free Python ...

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 ...