The materials here are split into 4 parts, usually covered in separate sessions during in-person workshops. Each part has lecture notes that the instructor will work from as well as exercise files, ...

The chapters are laid out in Jupyter notebooks which are a de-facto standard for exchanging code and analyses among data science professionals and researchers. The course materials will continually ...

Overview: Interactive Python courses emphasize hands-on coding instead of passive video learning.Short lessons with instant ...

No need to be a 4-H member to participate. Experience with Scratch will be helpful. Participants will need to be able to connect to the internet with their own device (such as a computer or Chromebook ...

Python remains one of the easiest programming languages to learn. And it’s incredibly versatile too, which makes it a great platform for beginners. Want to learn how to code and maybe even work your ...

As Python’s popularity rises, its limitations are becoming more clear. For one thing, it can be very hard to write a Python application and distribute it to people who don’t have Python installed. The ...

Streamlit lets you write web-based Python data applications without HTML, CSS, or JavaScript. Here's a first look at Streamlit. A common problem with Python applications is how to share them with ...

Admission to the course requires an introductory course and an intermediate courses in archaeology, cultural heritage, history, ancient culture and society, economic history, or cultural geography (or ...