Re: [pydotorg-www] Python Basics For Data Science Cheat Sheet

2016-10-13 Thread Mats Wichmann
On 10/13/2016 09:02 AM, Steve Holden wrote:
> Hi Karlijn,
> 
> The value of a Wiki is that it's user-editable. You have to create an
> account, then let us know what it is and we can add editing privileges.
> 
> This looks like halfway reasonable content, but it would be MUCH better to
> link straight to the cheat sheet. Sending them through a landing page
> smacks of advertising, which is definitely not approved of in our
> informational pages.

In addition, external links have an irritating tendency to go stale.  A
lot of the "bugs" against the Python website end up dealing with this
very topic.

...
> 
> regards
>  Steve
> 
> PS: The usual abbreviation for "third" is "3rd", but the cheat sheet uses
> "3d". Also the line reading "x = my_list > 3" should almost certainly read
> "x = my_array > 3". Errors like that really reduce the value of the
> content, and make the authors seem unreliable.

looks like those were already corrected, cool.


For consistency purposes, note you can't actually run the numpy examples
as listed. That doesn't make things broken, but

This line:

>>> import numpy as alias

could correct some of that - examples use np, so make it

>>> import numpy as np

or else just spell it out as numpy in the examples.

The "Selecting NumPy Elements" section might be better if you showed
outputs.

your current 2-d line won't work on the example data you give.

In "NumPy Array Operations", you could save a line of precious real
estate here:

>>> x = my_array > 3
>>> x
  array([False, False, False,  True], dtype=bool)

By not assigning-then-printing (the other examples don't do it):

>>> my_array > 3
  array([False, False, False,  True], dtype=bool)



Cheeers!
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Re: [pydotorg-www] Python Basics For Data Science Cheat Sheet

2016-10-13 Thread Steve Holden
Hi Karlijn,

The value of a Wiki is that it's user-editable. You have to create an
account, then let us know what it is and we can add editing privileges.

This looks like halfway reasonable content, but it would be MUCH better to
link straight to the cheat sheet. Sending them through a landing page
smacks of advertising, which is definitely not approved of in our
informational pages.

Having said which, there is also a Python Training page, where you might
find an appropriate place to publicize your courses. It's a long time since
I visited it.

regards
 Steve

PS: The usual abbreviation for "third" is "3rd", but the cheat sheet uses
"3d". Also the line reading "x = my_list > 3" should almost certainly read
"x = my_array > 3". Errors like that really reduce the value of the
content, and make the authors seem unreliable.

Steve Holden

On Thu, Oct 13, 2016 at 2:36 PM, Karlijn Willems 
wrote:

> Hi
>
> As DataCamp's data journalist, I launched a Python For Data Science Cheat
> Sheet on the DataCamp community yesterday, covering the basics that
> beginners need to know in order to get started on doing data science with
> Python.
>
> You can find it here: https://www.datacamp.com/community/tutorials/python-
> data-science-cheat-sheet-basics
>
> I would love to get some feedback from you guys and I was wondering if you
> might consider adding this cheat sheet as an addition to the Beginner's
> guide of the Python Wiki.
>
> Thanks in advance for your time and looking forward to your reply
>
> Karlijn
>
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[pydotorg-www] Python Basics For Data Science Cheat Sheet

2016-10-13 Thread Karlijn Willems
Hi

As DataCamp's data journalist, I launched a Python For Data Science Cheat
Sheet on the DataCamp community yesterday, covering the basics that
beginners need to know in order to get started on doing data science with
Python.

You can find it here: https://www.datacamp.com/community/tutorials/
python-data-science-cheat-sheet-basics

I would love to get some feedback from you guys and I was wondering if you
might consider adding this cheat sheet as an addition to the Beginner's
guide of the Python Wiki.

Thanks in advance for your time and looking forward to your reply

Karlijn
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