> For the complete documentation index, see [llms.txt](https://opencampus.gitbook.io/opencampus-machine-learning-program/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-8.md).

# Week 8

***Note1:** Object Oriented Programming is a difficult but powerful concept, please take your time to revise the topic!*

***Note 2:** If you want to install packages in the environment we set up during the course, you can do so by running* `%pip install`*`package_name` (notice the %-sign!) e.g.* `%pip install PrettyTable` *in one of your notebook cells after you selected the environment. This is only needed once, after that it can always be reimported with* `import`*.*

### To-Do

Homework:

* Do days 16 and 17 of the course
  * Watch the videos
  * Do the interactive coding exercises (Replit & Auditorium)

***

### Totally Optional:

* **Watch lecture 8 of the Havard Python Course:**

{% embed url="<https://cs50.harvard.edu/python/2022/weeks/8/>" %}

Object Oriented Programming is not an easy concept. The video is almost three hours long!

For the best learning experience, it's recommended to watch the lecture twice: first for a quick overview, and then more slowly while taking notes. Please ensure you allocate sufficient time for this.

* **Work through the following homework assignment (short)**
  * <https://colab.research.google.com/drive/1XYmbiRmgRtK9NVm8GtSjKtE--7S2u6qQ?usp=sharing>

Always first create a copy with "Copy to Drive" or download the notebooks to work locally on them. Otherwise your progress won't be saved.


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