A few weeks ago, I told you I'd let you know more about the behind-the-scenes action and the technical writers who are going to be working with NumPy and SciPy during Google Season of Docs. It's time to meet Maja! Maja has done some knockout research, which you can find here. She has not only had significant experience with SciPy, but she's well aware of what a difference great documentation and guides can make. Because it's so easy for technical writers to get lost in the background of a project, I wanted to take this space to let you know what she's working on in her own words. If you aren't familiar with what we're doing with NumPy and SciPy through Google Season of Docs, you can read all about it here: While I'm building a new beginner-oriented technical documentation section with NumPy, Maja is working with SciPy to restructure its existing documentation.

The amazing strength of open source is in the proliferation of powerful tools and libraries that get you up and running quickly. At the core of the Python numerical/scientific computing ecosystem are NumPy and SciPy. NumPy and SciPy are foundational libraries on top of which many other ML and data science packages are built. NumPy provides support for numerical programming in Python. NumPy has been in development since 2006 and just received US$645,000 in funding this summer.