Data Science Tutorials
Develop your data science skills with tutorials in our blog. We cover everything from intricate data visualizations in Tableau to version control features in Git.
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The Complete Guide to Data Warehousing on GCP with BigQuery
Discover how Google BigQuery provides scalable, flexible, and cost-effective data warehousing and analytics solutions that seamlessly integrate with other GCP services.
Josep Ferrer
July 11, 2024
Qwen (Alibaba Cloud) Tutorial: Introduction and Fine-Tuning
Qwen is a family of large language and multimodal models developed by Alibaba Cloud, designed for various tasks like text generation, image understanding, and conversation.
Dr Ana Rojo-Echeburúa
July 11, 2024
How to Use the Python pass Statement
Learn to use the Python pass statement in loops, functions, and classes. Understand the pass statement's importance in code execution and readability.
Allan Ouko
July 11, 2024
Chain-of-Thought Prompting: Step-by-Step Reasoning with LLMs
Unlock the full potential of Large Language Models (LLMs) with our guide on Chain-of-Thought (CoT) prompting. Learn how to enhance reasoning and problem-solving abilities in LLMs.
Andrea Valenzuela
July 10, 2024
Python yield Keyword: What Is It and How to Use It?
The yield keyword in Python turns a regular function into a generator, which produces a sequence of values on demand instead of computing them all at once.
Stephen Gruppetta
July 10, 2024
GPT-4o and LangGraph Tutorial: Build a TNT-LLM Application
This article presents a practical guide to implementing TNT-LLM, a framework that automates taxonomy generation and text classification using LLMs, demonstrated through a news article clustering example with GPT-4 and LangGraph.
Ryan Ong
July 10, 2024
MatMul-Free vs MatMul LLMs: Speed and Memory Consumption
This article compares the performance of MatMul-free and traditional large language models in terms of speed and memory usage.
Dimitri Didmanidze
July 10, 2024
Prompt Chaining Tutorial: What Is Prompt Chaining and How to Use It?
Prompt chaining is a technique that involves breaking down a complex task into a series of smaller, interconnected prompts, where the output of one prompt serves as the input for the next, guiding the LLM through a structured reasoning process.
Dr Ana Rojo-Echeburúa
July 9, 2024
NumPy 2.0 Release: Key Changes and Migration
Find out all the new features and changes made in the NumPy 2.0 update.
Austin Chia
July 8, 2024
Conditional Formatting in Excel: A Beginner’s Guide
Explore conditional formatting in Excel with simple to advanced examples and their best practices.
Joleen Bothma
July 8, 2024
How to Set Up and Configure AWS: A Comprehensive Tutorial
Learn how to set up and configure your AWS account for the first time with this comprehensive tutorial. Discover essential settings, best practices for security, and how to leverage AWS services for data analysis and machine learning.
Joleen Bothma
July 8, 2024
The Complete Guide to AWS Identity and Access Management (IAM)
Learn how to use AWS Identity and Access Management (IAM) to secure your AWS environment, manage access with users, groups, and roles, and implement best practices for robust security.
Joleen Bothma
July 8, 2024