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

The alert-success box that begins "Tensorflow Probability is part of the colab default runtime"---and created by the div tag---is not supported by nbconvert, when converting the chapter to PDF. The result is difficult to read:

The underlying issue is de

Sir, could you please specify the difference between estimator and predictors in scikit learn which u elaborated in your book on page no. 61-62

It may be good to provide pure Python implementation of Gradient Descent (instead of SciPy one) for Logistic Regression just for the learning purposes.

Description

@wutaomsft suggestion:

it would be a good discussion point what is preferred way to make references in notebooks. I prefer not to have a"reference" section where references are separate from where they are referred. Instead, link the reference "in place". And then add a paragraph for "additional reading", which is more descr

Input cells' left border does not go all the way down.

Expect to see something like this:

Does anyone know how to solve it?

Most items coming from questions on the community forum

• how to force an axis to be categorical, see https://community.plot.ly/t/how-to-plot-categorical-values-in-x/31982/3 or https://community.plot.ly/t/how-to-get-bars-located-to-each-other-in-bar-plot-with-float-x-axis-values/31554/2. To go to https://plot.ly/python/axes/ or to a new "meta" page explaining what the different types of axe

Hi there,

While trying to configure JupyterHub locally, running in the terminal gives the following link:

"JupyterHub is now running at http://127.0.0.1:port/"

To which my browser responded "The connection was reset". I found that using HTTPS and ignoring the warnings solved this issue.

My specs are: Ubuntu 19.04, Firefox and I used openssl to get a key and certificate.
JupyterHub ve

Once things are a little more polished with the package, we'll need to do the following documentation clean-up:

• Add docstrings to applicable classes
• Update the usage docs in the README
• Add a section to the README that explains the overall design of the feature

Missing functionality

On the back of the issue raised - pandas-profiling/pandas-profiling#315 - I would like to request for improved documentation about removed features and alternative ways to overcome them when using the new version of pandas-profiling, starting v2.4.0.

Proposed feature

• docs on why style={'full_width': True}, minify_html=True ca

inspired by #101

Once we merge in new robustness transforms, crop_to_size should probably be in the default transforms. We still want to allow not passing it, but should probably warn in that case.

This was initially a question by @lwasser on Twitter: Is anyone using a tool that "cleans" or tests @ProjectJupyter notebooks for things like extra imports, PEP 8, etc etc?

It would be interesting to describe what we can do with jupytext at the command line, and also, what can be done with pre-commit hooks.

Regarding the comma

How to use Watcher / WatcherClient over tcp/ip network?

Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?

In documentation about Quantization-Aware Training it is stated that "Note that the current implementation of QuantAwareTrainRangeLinearQuantizer supports training with single GPU only."
This is not correct since #284 - QuantAwareTrainRangeLinearQuantizer supports nn.DataParallel.

Playing with gophernotes from docker I realized it is not possible to e.g. do

> !go get gopkg.in/src-d/go-git.v4
repl.go:1:2: expected operand, found 'go'

or even

> !ls
repl.go:1:2: undefined identifier: ls

Use this checklist to track logstash wiki and documentation

• Update https://github.com/Cyb3rWard0g/HELK/wiki/Create-Plugins-Offline-Package
• Update HELK overview picture
  • remove alien vault integration
  • update with new indexes #256
• document catch all for windows
• document indexme catch all
• some general guideline on X amount of devices and or X amo

lgo does not complete import paths now.

We want to complete import paths for these patterns:

import [cur]

import (
    [cur]

import "a/b[cur]

import "[cur]

https://github.com/apachecn/ds-ipynb-zh

• 七、Pandas
  • 7.1 Pandas
  • 7.2 数据整理
  • 7.3 Pandas 数据操作
  • [7.4

Visitors to https://nbviewer.jupyter.org will find a very prominent link to the lightning plotting package:

However, lightning is a dead project, according to the authors:

Summary

A really helpful vim shortcut to use would be using gcc to toggle the comment of a line.

I can't think it'd be that difficult to do either. Some simple if statements to chose whether to run I# or Idf# in the case of Python's comments.