nyudatabootcamp / book Goto Github PK

Once JupyterLab is sufficiently stable then the book should be edited to use JupyterLab as their first exposure to writing code (as opposed to Spyder and Jupyter Notebooks). JupyterLab will provide both of the benefits of these two in a single program.

In the list comprehension section, we have

It's another thing that doesn't work in Python 2, so make sure you have Python 3 installed.

This is false. We should remove it.

@cc7768 we need to do some revisions.

Here's a list of the chapters in the book:

• README.md
• intro.md
• python.md
• mentality.md)
• fun1.md)
• fun2.md)
• input.md
• graphs1.md
• pip.md
• clean.md
• shape.md
• group.md
• merge.md
• pip.md
• emerging.md
• indicators.md
• random.md
• other.md
• practice.md
• glossary.md

Leave a comment to claim which chapters you want to work on

Should think about doing some additional organization of the pandas chapters:

Two examples of this would be:

• Split pandas-input.md into pandas-intro.md and pandas-input.md where pandas-intro dealt with an introduction to a dataframe and pandas-input then talked only about reading files from your computer or online.
• The data cleaning chapters need to be rewritten and cleaned up.

We really should to a chapter on time series...

Right now our first taste of functions (in pyfun2) is the following:

def hello(firstname):               # define the function
    print('Hello,', firstname)

hello('Chase')                      # use the function

Because we take the time to walk through all syntax using this example we should cover return values here.

Add discussion of different types of numerical types in Python. This should go in Python fundamentals 1 before Strings.

In the data input chapter, we talk about a link to a file for downloading data, but we don't have a link.

Add this.

In this section of the pandas-input.md chapter we go over how to use the API methods from pandas.io to read in data from FRED, IMF, and others.

That code has been deprecated in pandas for some time and users are told to use the pandas_datareader package.

Eventually the deprecated code will be deleted altogether from pandas and we'll be forced to use pandas_datareader to read in the data.

I think the obvious answer is that we should use the currently suggested method here instead of the deprecated routines, but this brings up the issue of using conda to install a package that doesn't come with Anaconda -- something we haven't talked about at this point in the book.

What do people think? Should we take the time to talk about pip and conda before this section (maybe at the start of this lecture in our discussion on packages) so we can use pandas_datareader?

In the text we often refer to Jupyter notebooks as Ipython notebooks. Thoughts on whether this should change?

@DaveBackus we need to change the link on gitbook to point here instead of DaveBackus/Data_Bootcamp_Book

Package importing is currently covered in pandas-input.md, but it might make sense to break that out since it isn't directly related to inputting data.

We might take the conda/pip material and the package material and make a new chapter between pyfun-2 and pandas-input. This would allow us to introduce them to these ideas and how to install/update packages all at once.

Got an email a few days ago. Wanted to create a placeholder for this

Just wanted to point out a possible error that I found in the text of the book in the chapter Python graphics: Matplotlib fundamentals. On page 101, the PISA test score example has the text, fig, ax = subplots().

I think it should be fig, ax = plt.subplots(). I couldn't get it to work the other way, but maybe it's just my computer/Spyder?

Thanks!