Difference between revisions of "Jupyter"

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(Created page with "This page is meant to be a startup guide for using Jupyter Notebooks with Python. It assumes you have installed Anaconda from [https://www.anaconda.com/ https://www.anaconda....")
 
(Starting Up)
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== Starting Up ==
 
== Starting Up ==
To start Jupyter Notebooks with Anaconda:
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* To start Jupyter Notebooks with Anaconda:
* On Windows, go to the Anaconda folder in the Start Menu or open the Anaconda Navigator and start from there.
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** On Windows, go to the Anaconda folder in the Start Menu or open the Anaconda Navigator and start Jupyter Notebooks from there.
* On macOS, open the Anaconda Navigator and start from there.
+
** On macOS, open the Anaconda Navigator and start Jupyter Notebooks from there.
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Depending on your settings, you may get a new browser that points to your '''localhost''' or you may get a window with a web address that you need to copy and paste into a web browser (in which case, do that).  In either case, the end result should be a web page open to the jupyter page with tabs for Files, Running, and Clusters.
  
 
== Tutorial ==
 
== Tutorial ==

Revision as of 03:12, 13 January 2023

This page is meant to be a startup guide for using Jupyter Notebooks with Python. It assumes you have installed Anaconda from https://www.anaconda.com/. Most of this guide was written running Python 3.9 and Jupyter Notebooks 6.4.12.

Starting Up

  • To start Jupyter Notebooks with Anaconda:
    • On Windows, go to the Anaconda folder in the Start Menu or open the Anaconda Navigator and start Jupyter Notebooks from there.
    • On macOS, open the Anaconda Navigator and start Jupyter Notebooks from there.

Depending on your settings, you may get a new browser that points to your localhost or you may get a window with a web address that you need to copy and paste into a web browser (in which case, do that). In either case, the end result should be a web page open to the jupyter page with tabs for Files, Running, and Clusters.

Tutorial

There's a great tutorial at https://www.dataquest.io/blog/jupyter-notebook-tutorial/! A few notes:

  • CTRL-Enter runs the current cell; SHIFT-Enter runs the current cell and provides a new empty cell below it. SHIFT-Enter is generally the way to go
  • ESC and ENTER toggle between command mode and edit mode. In edit mode, there is a pencil icon at the top right; in command mode, there isn't. Also, if you click in the edit part of a cell you enter edit mode; if you click in the space between the In []: and the >| you enter command mode.
  • In addition to the commands shown, Markdown understands basic LaTeX (Greek letters, fractions, integrals, etc). Use single $ around commands for inline and $$ around commands for displaymath.
  • For the commands that print formatted strings, the tutorial uses the string modulo method. To relate this to using format, and also to using the new (as of Python 3.6) f-string, here are three ways of printing the same information:
    # string modulo
    print('%d squared is %d and %0.2e squared is %0.2e' % (a, b, c, d))
    # format
    print('{:d} squared is {:d} and {:0.2e} squared is {:0.2e}'.format(a, b, c, d))
    # f-string
    print(f'{a:d} squared is {b:d} and {c:0.2e} squared is {d:0.2e}')
    
    You can see that all three are similar; the f-string puts the variable at the same location it will end up printing in the string rather than way at the end.
  • The "Setup" section in the middle of the page starts to go into some advanced data analysis with Pandas; they always give you the code, but it may be confusing! Also:
    • You will need to have saved their data file to the folder where you are saving your notebook. The file is in the "Example Data Analysis in a Jupyter Notebook" section way at the top of the page, or you can get it from https://s3.amazonaws.com/dq-blog-files/fortune500.csv.
    • There needs to be a carriage return after "import seaborn as sns"