7 Tips To Structure Your Python Data Science Projects

Video Description

👷 Review code better and faster with my 3-Factor Framework: https://arjan.codes/diagnosis. In this video, I’ll cover 7 tips to streamline the structure of your Python data science projects. With the right setup and thoughtful software design, you'll be able to modify and enhance your projects more efficiently. Check out Taipy here: https://github.com/avaiga/taipy. Cookiecutter: https://github.com/drivendata/cookiecutter-data-science. 🎓 ArjanCodes Courses: https://www.arjancodes.com/courses. 💬 Join my Discord server: https://discord.arjan.codes. ⌨️ Keyboard I’m using: https://amzn.to/49YM97v. 🔖 Chapters: 0:00 Intro 0:50 Tip #1: Use a common structure 1:55 Tip #2: Use existing libraries 4:59 Tip #3: Log your results 5:55 Tip #4: Use intermediate data representations 8:09 Tip #5: Move reusable code to a shared editable package 9:24 Tip #6: Move configuration to a separate file 11:45 Tip #7: Write unit tests 14:09 Final thoughts #arjancodes #softwaredesign #python