Many people have read the Harry Potter series hence I consider it a good measure for readers to estimate how long a blogpost based on word count (rather than reading time).
| Book | Words | Pages |
|---|---|---|
| Harry Potter and the Philosopher’s Stone | 76,944 | 223 |
| Harry Potter and the Chamber of Secrets | 85,141 | 251 |
| Harry Potter and the Prisoner of Azkaban | 107,253 | 317 |
| a | b | c | |
|---|---|---|---|
| 1 | 0 | One | |
| 2 | 0 | Two | |
| 3 | 0 | Three |
| import pandas as pd | |
| pd.DataFrame({'a': [1,2,3], 'b': [0,0,0], 'c': ['One', 'Two', 'Three']}) |
| # %hide-cell | |
| print("This cell won't make it to the final document") |
| # %hide-output | |
| print("This code will be shown, but it's output won't") |
| # %hide-source | |
| print("This code won't be shown, but it's output will") |
| import seaborn as sns | |
| x = np.arange(0, 10, 0.1) | |
| y = np.sin(x) | |
| sns.scatterplot(x = y,y = x); |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| x = np.arange(0, 10, 0.1) | |
| y = np.sin(x) | |
| plt.plot(x,y); |
| from nb2medium.upload import nb2medium | |
| nb2medium(title = 'My First Article', notebook = 'path/to/notebook.ipynb'); |
| fig['layout'] = go.Layout( | |
| font = {'size' : 14}, | |
| plot_bgcolor = 'white', | |
| xaxis = {'showline': True, | |
| 'visible': True, | |
| 'range': (0, data['Value'].max()), | |
| 'title_text': 'Production Quantity (tonnes)' # title of the x axis | |
| }, | |
| yaxis = {'showline': False, | |
| 'visible': True, # to show the title |
