Now that you understand the mechanisms behind ChromaDB, you’re ready to tackle a real-world scenario. Say you have a library of thousands of documents, and you need a way to search through them. In particular, you want to be able to make queries that point you to relevant documents. For example, if your query is find me documents containing financial information, then you want whatever system you use to point you to a financial document in your library. How would […]

Maybe you’ve already worked with Jupyter Notebooks from Project Jupyter to create documents containing runnable code. You can achieve even more with JupyterLab, a tool kit that you can use to document and share your research, teaching, and learning activities. It’s useful in a wide range of disciplines, from data analysis and data visualization to scientific study. JupyterLab enhances your notebooks by providing a browser-based interface that allows you to use multiple notebooks together effectively. In addition, it offers you […]

Having good documentation is a critical feature of any successful Python project. In practice, writing documentation is hard and can take a lot of time and effort, so some developers don’t like to do it. Luckily, with large language models (LLMs) and tools like ChatGPT, you can quickly document your Python code and projects. In Python, you can document your code using docstrings and then take advantage of them to enrich the project’s external documentation. ChatGPT can be of great […]