Data Science Tutorials

In the realm of Python programming, mastering loops is crucial. This tutorial sheds light on the Python for i in range loop, a fundamental construct in Python.

Explore how to emulate a "do-while" loop in Python with our short tutorial. Plus discover how to use it in data science tasks.

Follow our step-by-step guide on how to integrate Microsoft Teams with Python and unlock the ability to automatically send Teams messages that drive company-wide insight!

Gemini defines a family of multimodal LLMs capable of understanding texts, images, videos, and audio. It’s also said to be capable of performing complex tasks in math and physics, as well as being able to generate high-quality code in several programming languages.

This tutorial dives into the Databricks approach to AI & Machine Learning in the Databricks Lakehouse and introduces its latest features.

Explore Python's match-case: a guide on its syntax, applications in data science, ML, and a comparative analysis with traditional switch-case.

Learn how to combining multiple plots in R into one graph with either the par() or layout() functions. This page includes coding examples.

A complete guide to using the SOLAR-10.7B fine-tuned model for instruction-based tasks in a real-world scenario.

Discover what hashmaps are and how they are implemented in Python through dictionaries.

Learn how to use Gemini Python API and its various functions to build AI-enabled applications for free.

Learn the fundamentals of cloud data warehouse management using Snowflake. Snowflake is a cloud-based platform that offers significant benefits for companies wanting to extract as much insight from their data as quickly and efficiently as possible.

Learn the most popular unified platform for big data analytics - Databricks. The tutorial covers the seven core concepts and features of Databricks and how they interconnect to solve real-world issues in the modern data world.