Join Charles Kelly for an in-depth discussion in this video Launch Jupyter Notebook, part of NumPy Data Science Essential Training.
- [Lecturer] There are at least…two methods that you can use to launch Jupyter Notebooks.…The first method is to use Anaconda's Navigator.…When you installed the software for this course,…Anaconda's Navigator was included…within your installation.…After Anaconda's Navigator launches,…you'll see these options.…Select the Launch button for Jupyter Notebooks.…You'll see it's opening a command prompt,…and then opens a dashboard within your preferred browser,…that is within your default browser.…
If you open a Jupyter Notebook in this fashion,…you'll see a dashboard.…The information will be different…depending on the file structure on your computer.…We can close this browser.…You'll see that Anaconda used a command prompt…to launch a server for the Jupyter Notebook.…I prefer a different workflow.…My preferred workflow is to open…a command prompt directly,…go to the directory where I would like…the root of my notebooks,…that is the head of my notebooks…where I can navigate downward to be,…and open the notebook in that fashion.…
- Using Jupyter Notebook
- Creating NumPy arrays from Python structures
- Slicing arrays
- Using Boolean masking and broadcasting techniques
- Plotting in Jupyter notebooks
- Joining and splitting arrays
- Rearranging array elements
- Creating universal functions
- Finding patterns
- Building magic squares and magic cubes with NumPy and Python
Skill Level Intermediate
2. Create NumPy Arrays
3. Index, Slice, and Iterate
4. Plots: Matplotlib and Pyplot
5. Manipulate Arrays
6. Short Examples
7. Extended Examples
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