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update to Preable and Readme #186

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update to Preable and Readme #186

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16 changes: 16 additions & 0 deletions README.md
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Expand Up @@ -27,13 +27,29 @@ the command ``pip install mglearn`` in your terminal or ``!pip install mglearn``


## Errata

### Missing import

Please note that the first print of the book is missing the following line when listing the assumed imports:

```python
from IPython.display import display
```
Please add this line if you see an error involving ``display``.

### Spacy download language name changed
As of Spacy v3.0, the syntax is

```python
python -m spacy download en_core_web_sm
```

### IPython.display.set_matplotlib_formats deprecated
See https://github.com/fangohr/introduction-to-python-for-computational-science-and-engineering/issues/32

[preamble.py](preamble.py) was adjusted to reflect the changes

### Changes in sckit-learn from the first print

The first print of the book used a function called ``plot_group_kfold``.
This has been renamed to ``plot_label_kfold`` because of a rename in
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15 changes: 13 additions & 2 deletions preamble.py
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@@ -1,11 +1,22 @@
from IPython.display import set_matplotlib_formats, display
# Next is original line.
# see https://github.com/fangohr/introduction-to-python-for-computational-science-and-engineering/issues/32
#from IPython.display import set_matplotlib_formats, display
from IPython.display import display
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import mglearn
from cycler import cycler

set_matplotlib_formats('pdf', 'png')
# New block per above url on set_matplotlib_formats problem
# settings for jupyter book: svg for html version, high-resolution png for pdf
import matplotlib_inline.backend_inline
# matplotlib_inline.backend_inline.set_matplotlib_formats('svg', 'png')
# import matplotlib as mpl
# mpl.rcParams['figure.dpi'] = 400

matplotlib_inline.backend_inline.set_matplotlib_formats('pdf', 'png')
#set_matplotlib_formats('pdf', 'png')
plt.rcParams['savefig.dpi'] = 300
plt.rcParams['image.cmap'] = "viridis"
plt.rcParams['image.interpolation'] = "none"
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