Files

notebooks
notebooks_v1
- data
  - BicycleWeather.csv
  - Seattle2014.csv
  - births.csv
  - california_cities.csv
  - president_heights.csv
  - state-abbrevs.csv
  - state-areas.csv
  - state-population.csv
- figures
- 00.00-Preface.ipynb
- 01.00-IPython-Beyond-Normal-Python.ipynb
- 01.01-Help-And-Documentation.ipynb
- 01.02-Shell-Keyboard-Shortcuts.ipynb
- 01.03-Magic-Commands.ipynb
- 01.04-Input-Output-History.ipynb
- 01.05-IPython-And-Shell-Commands.ipynb
- 01.06-Errors-and-Debugging.ipynb
- 01.07-Timing-and-Profiling.ipynb
- 01.08-More-IPython-Resources.ipynb
- 02.00-Introduction-to-NumPy.ipynb
- 02.01-Understanding-Data-Types.ipynb
- 02.02-The-Basics-Of-NumPy-Arrays.ipynb
- 02.03-Computation-on-arrays-ufuncs.ipynb
- 02.04-Computation-on-arrays-aggregates.ipynb
- 02.05-Computation-on-arrays-broadcasting.ipynb
- 02.06-Boolean-Arrays-and-Masks.ipynb
- 02.07-Fancy-Indexing.ipynb
- 02.08-Sorting.ipynb
- 02.09-Structured-Data-NumPy.ipynb
- 03.00-Introduction-to-Pandas.ipynb
- 03.01-Introducing-Pandas-Objects.ipynb
- 03.02-Data-Indexing-and-Selection.ipynb
- 03.03-Operations-in-Pandas.ipynb
- 03.04-Missing-Values.ipynb
- 03.05-Hierarchical-Indexing.ipynb
- 03.06-Concat-And-Append.ipynb
- 03.07-Merge-and-Join.ipynb
- 03.08-Aggregation-and-Grouping.ipynb
- 03.09-Pivot-Tables.ipynb
- 03.10-Working-With-Strings.ipynb
- 03.11-Working-with-Time-Series.ipynb
- 03.12-Performance-Eval-and-Query.ipynb
- 03.13-Further-Resources.ipynb
- 04.00-Introduction-To-Matplotlib.ipynb
- 04.01-Simple-Line-Plots.ipynb
- 04.02-Simple-Scatter-Plots.ipynb
- 04.03-Errorbars.ipynb
- 04.04-Density-and-Contour-Plots.ipynb
- 04.05-Histograms-and-Binnings.ipynb
- 04.06-Customizing-Legends.ipynb
- 04.07-Customizing-Colorbars.ipynb
- 04.08-Multiple-Subplots.ipynb
- 04.09-Text-and-Annotation.ipynb
- 04.10-Customizing-Ticks.ipynb
- 04.11-Settings-and-Stylesheets.ipynb
- 04.12-Three-Dimensional-Plotting.ipynb
- 04.13-Geographic-Data-With-Basemap.ipynb
- 04.14-Visualization-With-Seaborn.ipynb
- 04.15-Further-Resources.ipynb
- 05.00-Machine-Learning.ipynb
- 05.01-What-Is-Machine-Learning.ipynb
- 05.02-Introducing-Scikit-Learn.ipynb
- 05.03-Hyperparameters-and-Model-Validation.ipynb
- 05.04-Feature-Engineering.ipynb
- 05.05-Naive-Bayes.ipynb
- 05.06-Linear-Regression.ipynb
- 05.07-Support-Vector-Machines.ipynb
- 05.08-Random-Forests.ipynb
- 05.09-Principal-Component-Analysis.ipynb
- 05.10-Manifold-Learning.ipynb
- 05.11-K-Means.ipynb
- 05.12-Gaussian-Mixtures.ipynb
- 05.13-Kernel-Density-Estimation.ipynb
- 05.14-Image-Features.ipynb
- 05.15-Learning-More.ipynb
- 06.00-Figure-Code.ipynb
- Index.ipynb
- Untitled.ipynb
- helpers_05_08.py
notebooks_v2
tools
website
.gitignore
.gitmodules
LICENSE-CODE
LICENSE-TEXT
README.md
environment.yml
requirements.txt

president_heights.csv

1	order	name	height(cm)
2	1	George Washington	189
3	2	John Adams	170
4	3	Thomas Jefferson	189
5	4	James Madison	163
6	5	James Monroe	183
7	6	John Quincy Adams	171
8	7	Andrew Jackson	185
9	8	Martin Van Buren	168
10	9	William Henry Harrison	173
11	10	John Tyler	183
12	11	James K. Polk	173
13	12	Zachary Taylor	173
14	13	Millard Fillmore	175
15	14	Franklin Pierce	178
16	15	James Buchanan	183
17	16	Abraham Lincoln	193
18	17	Andrew Johnson	178
19	18	Ulysses S. Grant	173
20	19	Rutherford B. Hayes	174
21	20	James A. Garfield	183
22	21	Chester A. Arthur	183
23	23	Benjamin Harrison	168
24	25	William McKinley	170
25	26	Theodore Roosevelt	178
26	27	William Howard Taft	182
27	28	Woodrow Wilson	180
28	29	Warren G. Harding	183
29	30	Calvin Coolidge	178
30	31	Herbert Hoover	182
31	32	Franklin D. Roosevelt	188
32	33	Harry S. Truman	175
33	34	Dwight D. Eisenhower	179
34	35	John F. Kennedy	183
35	36	Lyndon B. Johnson	193
36	37	Richard Nixon	182
37	38	Gerald Ford	183
38	39	Jimmy Carter	177
39	40	Ronald Reagan	185
40	41	George H. W. Bush	188
41	42	Bill Clinton	188
42	43	George W. Bush	182
43	44	Barack Obama	185