DSPy is an open-source Python framework that allows developers to build language model applications using modular and declarative programming instead of relying on one-off prompting techniques.
DSPy Notebook - Ax LLM Framework
Prompt Like a Data Scientist: Auto Prompt Optimization and Testing with DSPy | Towards Data Science
Applying machine learning methodology to prompt building
Let the Model Write the Prompt
Notes from a talk I delivered at the 2025 Data + AI Summit, detailing the problem with prompts in your code and how DSPy can make everything better.
How to Make Small Language Models Outperform Large Language Models Using DSPy!
How a 3B Language Model Surpasses an 8B Counterpart with DSPy? “In an era where language models (LMs) are revolutionising countless tasks, their potential is only as powerful as we interpret …
Snakemake
With Snakemake, data analysis workflows are defined via an easy to read, adaptable, yet powerful specification language on top of Python. Steps are defined by "rules", which denote how to generate a set of output files from a set of input files (e.g. using a shell command). Wildcards (in curly braces) provide generalization. Dependencies between rules are determined automatically.
DSPy on Twitter / X
DSPy is the highest-bandwidth language to talk to computers in a just-precise-enough way.First 36 lines below:1. Take arbitrarily long content: `chunks`.2. Build a global Table of Contents.3. Distribute chunks into sections to be written.4. Recursively write each section. pic.twitter.com/7NN61isFLs— DSPy (@DSPyOSS) May 13, 2025
Python Tutorial | Learn Python Programming Language - GeeksforGeeks
Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.
The Story of Python and how it took over the world | Python: The Documentary
Dagu: The workflow engine that doesn't turn into an SRE project.
Dagu is a lightweight alternative to Airflow or Cron with a Web UI. Define DAGs in a simple declarative YAML format. It supports shell commands, docker containers, k8s jobs, remote commands via SSH, and more. It was designed to be easy to use, self-contained, and require no coding, making it ideal for small teams.
Investing in the Python ecosystem
Vercel welcomes the Gel Data team and deepens support for the Python ecosystem through PSF sponsorships, community funding, and improved Python developer tools.
Cookiecutter Data Science
A project template and directory structure for Python data science projects.
Hedy - Textual programming made easy
Many schools and teachers around the world want to teach their students programming. Initially this is often done with playful tools, ranging from the Bee-Bot robot to Scratch Junior or Scratch. After using such tools, kids often want to move to more powerful, textual programming languages, like Python.
Project Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
We have a new project! Didactic is a typed data library for python built on top of panproto. It provides class-based authoring like pydantic. But under the hood each Model is a panproto Theory, which gives you access to panproto's migration and codegen capabilities. Docs at panproto.dev/didactic/.
GitHub - panproto/didactic: A typed data library for Python on top of panproto.
github.com