Discover the essential techniques for validating and cleaning JSON data, ensuring data integrity and proper formatting for various applications and APIs.

Note: This book is the first edition of Quantitative Finance with Case Studies in Python. For readers of the second edition, please go to this repo.

Live visualization for GEPA prompt-optimization runs. Renders the candidate tree as a force-directed graph so you can watch prompts evolve over a pareto frontier in real time. Big nodes are candidates ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...