The Snakemake Project, the AI Advantage Book, Claude Code Tutorials and More
A weekly curated update on data science and engineering topics and resources.
This week's agenda:
Open Source of the Week - The Snakemake project
New learning resources - Running LLMs with Python and Docker Model Runner, AI agents with search, getting started with Claude Code, Getting started with AI agents with LangGraph, computer vision with Arduino
Book of the week - The AI Advantage
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Are you interested in learning how to set up automation using GitHub Actions? My LinkedIn Learning course — Data Pipeline Automation with GitHub Actions Using R and Python — is free for a limited time with the following link:
Open Source of the Week
This week's focus is on the Snakemake project. Snakemake is a Python library that provides tools and functions for a workflow management system to create reproducible and scalable data analysis. While this workflow management tool is Pythonic, it supports the running of other languages such as R, Julia, Rust, etc.
This library is widely used to automate workflows in the fields of bioinformatics and pharma.
Project repo: https://github.com/snakemake/snakemake
Key Highlights and Functionality
Human-readable, Pythonic syntax
Wildcards and powerful abstractions
Automatic scaling—from local to cloud or clusters
Software environment integration
Interactive, shareable reports
Best practices and tooling
In addition, the library supports DAG functionality and provides tools and reports to track the workflow outcome.
The following tutorial provides an example for setting up automation with Snakemake. Also, here is a short video that demonstrates how to set up a workflow with Snakemake:
More details, examples, and tutorials are available on the project documentation.
License: MIT
New Learning Resources
Here are some new learning resources that I came across this week.
Running LLMs Locally with Docker Model Runner and Python
This tutorial covers running LLMs locally with Python using Docker Model Runner. It is part of a series of tutorials on operating LLMs locally with Docker Model Runner, available to Medium members:
https://medium.com/p/06b2182bfe0a
Alternatively, if you lack a Medium subscription, this tutorial and the entire series are accessible through The AIOps Newsletter:
Build an Advanced AI Agent with Search
The following tutorial by Tech with Tim provides an in-depth tutorial for building an AI search agent in Python using LangGraph. This is a multi-step, deep research agent that will pull live data from sources like Google, Bing, and Reddit. Looks super cool!
Getting Started with Claude Code
This one-hour tutorial by Cole Medin provides an introduction and best practices for setting up a development environment to work with Claude Code.
Mastering Claude Code in 30 minutes
A great talk about Claude Code by one of the tool's lead developers, Boris Cherny.
Getting Started with LangGraph
Here is a short tutorial by Venelin Valkov about setting up an agentic workflow and AI agents locally with Ollama and LangGraph.
Computer Vision with Arduino Tutorial
This looks like a cool course, focusing on computer vision with Arduino devices using deep learning applications.
Book of the Week
This week's book focuses on industry use cases of AI. The AI Advantage book is a collective effort of Erik Seversen and 33 global AI experts, such as Ofer Hermoni, Ph.D. and others, from a variety of industries.
Each chapter of the book provides an example of AI adoption and the use cases in a specific industry, and it covers topics such as:
How AI is transforming industries such as business, healthcare, education, cybersecurity, and the creative arts
Practical ways to use AI tools for productivity, automation, and innovation
Insights into how intelligent systems can enhance both professional and personal decision-making
A grounded perspective on what’s possible with AI today—and what’s coming next
This book is ideal for managers, entrepreneurs, educators, students, or anyone curious about harnessing AI to thrive in an era of intelligent machines.
The book is available for purchase on Amazon.
Have any questions? Please comment below!
See you next Saturday!
Thanks,
Rami