Python

1. July 28, 202630 min read

   Building Iceberg Pipelines in Python Without Standing Up Spark

   A data scientist has a transformation that takes forty lines of pandas. It reads two Iceberg tables, joins them, applies a scoring function from a…

2. December 5, 202510 min read

   dremioframe & iceberg - Pythonic interfaces for Dremio and Apache Iceberg

   Discover DremioFrame and IceFrame, two new Python libraries that simplify working with Dremio and Apache Iceberg. Learn how these tools streamline data management and enhance productivity for modern data teams.

3. November 29, 202510 min read

   Introducing dremioframe - A Pythonic DataFrame Interface for Dremio

   Discover dremioframe, a new Python library that offers a DataFrame-like experience for interacting with Dremio's data lakehouse platform. Learn how to leverage its intuitive API to streamline your data engineering workflows.

4. April 14, 20255 min read

   A Journey from AI to LLMs and MCP - 10 - Sampling and Prompts in MCP – Making Agent Workflows Smarter and Safer

   Sampling and Prompts in MCP – Making Agent Workflows Smarter and Safer

5. April 13, 20255 min read

   A Journey from AI to LLMs and MCP - 9 - Tools in MCP – Giving LLMs the Power to Act

   Tools in MCP – Giving LLMs the Power to Act

6. April 12, 20254 min read

   A Journey from AI to LLMs and MCP - 8 - Resources in MCP – Serving Relevant Data Securely to LLMs

   Resources in MCP – Serving Relevant Data Securely to LLMs

7. April 11, 20255 min read

   A Journey from AI to LLMs and MCP - 7 - Under the Hood – The Architecture of MCP and Its Core Components

   Under the Hood – The Architecture of MCP and Its Core Components

8. April 10, 20255 min read

   Journey from AI to LLMs and MCP - 6 - Enter the Model Context Protocol (MCP) – The Interoperability Layer for AI Agents

   Enter the Model Context Protocol (MCP) – The Interoperability Layer for AI Agents

9. April 9, 20258 min read

   A Journey from AI to LLMs and MCP - 5 - AI Agent Frameworks – Benefits and Limitations

   AI Agent Frameworks – Benefits and Limitations

10. April 8, 20255 min read

    A Journey from AI to LLMs and MCP - 4 - What Are AI Agents – And Why They're the Future of LLM Applications

    What Are AI Agents – And Why They're the Future of LLM Applications

11. April 7, 20255 min read

    A Journey from AI to LLMs and MCP - 3 - Boosting LLM Performance – Fine-Tuning, Prompt Engineering, and RAG

    Boosting LLM Performance – Fine-Tuning, Prompt Engineering, and RAG

12. April 6, 20255 min read

    A Journey from AI to LLMs and MCP - 2 - How LLMs Work – Embeddings, Vectors, and Context Windows

    How LLMs Work – Embeddings, Vectors, and Context Windows

13. April 5, 20254 min read

    A Journey from AI to LLMs and MCP - 1 - What Is AI and How It Evolved Into LLMs

    What Is AI and How It Evolved Into LLMs

14. April 4, 202515 min read

    Building a Basic MCP Server with Python

    The Basics of Building a Basic MCP Server

15. November 1, 202415 min read

    Leveraging Python's Pattern Matching and Comprehensions for Data Analytics

    Using Features like Pattern Matching and Comprehensions for Data Analytics

16. October 15, 202416 min read

    Getting Started with Data Analytics Using PyArrow in Python

    Learning to work with PyArrow to run analytics

17. October 7, 202417 min read

    Exploring Data Operations with PySpark, Pandas, DuckDB, Polars, and DataFusion in a Python Notebook

    Learning to work with Python to ingest and query data

18. February 23, 202417 min read

    An Introduction to Python

    An overview of Python for beginners

19. September 10, 20238 min read

    Building Full CRUD Rest API's with Flask & FastAPI using PsychoPG2

    When it comes to building web applications in the modern era, developers are spoilt for choice with a plethora of frameworks and libraries at their…

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