Join Charles Kelly for an in-depth discussion in this video Using the exercise files, part of Pandas for Data Science.
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- [Instructor] The exercise files for this course are Jupyter interactive notebooks. I'll explain how you can download and install software for writing to and reading from Jupyter notebooks in the video titled Installing Software. The exercise files are contained within Starting and Final folders. The notebook in the Starting folder contains import statements and a small amount of sample code. The notebooks in the Final folder contain code that we develop within each video.
I suggest that you open both the Starting and Final versions before you begin watching each video. You are welcome to type what you see me type into the cells within the notebook from the Starting folder. However, my preferred workflow when learning new information from notebooks is to open a new notebook such as the ones in the Starting folder and copy and paste information from the source notebook such as the notebook in the Final folder into my new notebook. And by "new notebook", I mean the one that I'm currently working on.
After I cut and paste code, I often change it a small amount and then watch the change in the result and compare it with the result from the original folder. In my opinion, this is one of the many benefits of working with interactive notebooks as a learning tool. I say this from my perspective as a teacher and as a lifelong learner. If you don't have access to the exercise files, that's okay. You can still follow along by watching how I use the interactive notebooks.
Watch this course to gain an overview of Pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.
- Using the Markdown language and Jupyter Notebook
- Creating objects
- Selecting objects
- Using operations
- Merging data
- Creating series
- Creating data frames
- Creating panels
- Annotating plots and data frame plots