When you’re doing large scale data processing with Python, threads are a good way to achieve parallelism. This is especially true if you’re doing numeric processing, where the global interpreter lock (GIL) is typically not an issue. And if you’re using threading, thread pools are a good way to make sure you don’t use too many resources. But how many threads should your thread pool have? And do you need just one thread pool, or more than one? In this […]

Wouldn’t it be cool to build a Python game that only requires initial user input and then seems to take on a mind of its own, creating mesmerizing patterns along the way? You can do exactly that with Conway’s Game of Life, which is about the evolution of cells in a life grid. Implementing the Game of Life algorithm is a good exercise with many interesting challenges that you’ll have to figure out. Specifically, you’ll need to build the life […]

One of Django’s most popular features is the admin interface. For developers, it provides an out-of-the-box tool kit to work with your project’s data models. And it gives non-technical administrators an intuitive user interface (UI) for interacting with the database and creating website content. However, the Django admin doesn’t provide a way to format text-based content. Using Markdown with Django is a great solution. Markdown is a plain text formatting language that can automatically convert to HTML for publishing on […]

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 […]

October 2023 saw the release of the new Python 3.12. At the same time, focus has shifted to new developments in the language. The acceptance of the long-discussed PEP 703 means that developers can ramp up their work on a free-threading version of Python. The steering council does an important job governing Python and its development. Nominations for the next steering council are now open. Currently, groups are being established that’ll support the steering council by specifically focusing on typing […]