Location of the documentation

https://pandas.pydata.org/docs/development/code_style.html
https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#code-standards

Documentation problem

Most of the documentation for the coding style guidelines is limited and in multiple locations. Much of the coding style is in a script.

Suggested fix for documentation

In the PCA section there is the following quote:

We see that these 150 components account for just over 90% of the variance.

While not inaccurate (150 componen

Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb

I think we should keep dependencies in requirements.txt, and we should read dependencies from requirements.txt instead of keep another copy in setup.py.

As you can see in this example from the documentation docs, there is a linestyles argument, but it doesn't show in the legend. This kind of defies the purpose, printing black/white you still can't tell which is which (except from the markers, but often the markers are hard to read because the line is too wide relativel

If you join Dask DataFrame on a categorical column, then the outputted Dask DataFrame column is still category dtype. However, the moment you .compute() the outputted Dask DataFrame, then the column is the wrong dtype, not categorical.

Tested on Dask 2.14.0 and Pandas 1.0.3
This example where the category type looks like a float, so after .compute(), the dtype is float.

import dask.d

Describe the problem

We should test on larger datasets that are commonly used in

Is your feature request related to a problem? Please describe.
According to the Arrow spec:

Bitmaps are to be initialized to be all unset at allocation time (this includes padding).

This would imply that bits outside the range [0, size) should always be zero. However, in cuDF/libcudf, we take a more conservative approach and say that bits outside [0,size) are undefined in order to a

Most of the people who start out new don't find a latest feed of community hyped resources on ML and DL topics. It would be pretty good if we add a Reddit section.
If you're fine with this suggestion I'll put up a PR with the update 😄

According to https://www.weld.rs/grizzly/ the command to get started is $ pip install grizzly however this doesn't seem to be correct. The grizzly package on PyPi is some sort of USB driver.

I believe the documentation should be: pip install pygrizzly but that is failing for me, too

This is motivated by the weirdness that is Excel's "center across selection". After playing around with Excel for a bit, I now understand how this works. And it makes complete sense that it is achieved in XlsxWriter the way it is.

However, I think it would be nice to have an additional worksheet method which makes it easier. I was thinking format_range, which would be somewhat like `merge_ran

Implement Series.reindex.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.reindex.html

It's a fairly common request to get the size of data for each symbol in VersionStore and currently I just use a Mongo js script to get it, but it would be nice to have a util in VersionStore or otherwise to do the same.

Support error function and fresnel integrals in https://docs.scipy.org/doc/scipy/reference/special.html#error-function-and-fresnel-integrals, those are not universal functions may not need to be supported.

MCVE Code Sample

# Your code here
import numpy as np
import xarray as xr

data = np.zeros((10, 4))
example_xr = xr.DataArray(data, coords=[range(10), ["

It would be nice to have some general developer documentation for potential contributors to help in cases such as #510, etc.

What are the best steps to take towards accomplishing this? Maybe something similar (albeit not all details needed) to the Pandas developer docs?

I've begun an implementation of this on my fork, basicall

The procedure for downloading the "en_vectors_web_lg" in spacy. by downloading and unzipping the file, and shifting it to the appropriate directory, as illustrated here is l