A Python Flipbook

# A Python Flipbook
## With {flipbookr} and xaringan
### Gina Reynolds, March 2020

---

This is pretty experimental work.  The python "parser" (basically no parsing) means there are strong constraints on code.  Each new line must yield complete code statement...

```
Error in file(filename, "r", encoding = encoding) : 
  cannot open the connection
```

---

```python
*[1, 4] * 8
```
]
 
.panel2-hello_python-auto[

```
[1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4]
```
]

---
count: false

```python
[1, 4] * 8

*3 + 4 * 8
```
]
 
.panel2-hello_python-auto[

```
[1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4]
```

```
35
```
]

---
count: false

```python
[1, 4] * 8

3 + 4 * 8

*2 + 6
```
]
 
.panel2-hello_python-auto[

```
[1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4]
```

```
35
```

```
8
```
]

---
count: false

```python
[1, 4] * 8

3 + 4 * 8

2 + 6

*4 * 8
```
]
 
.panel2-hello_python-auto[

```
[1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4]
```

```
35
```

```
8
```

```
32
```
]

---
count: false

```python
[1, 4] * 8

3 + 4 * 8

2 + 6

4 * 8

*[1,2] + [3,4,5,6]
```
]
 
.panel2-hello_python-auto[

```
[1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4]
```

```
35
```

```
8
```

```
32
```

```
[1, 2, 3, 4, 5, 6]
```
]

---
count: false

```python
[1, 4] * 8

3 + 4 * 8

2 + 6

4 * 8

[1,2] + [3,4,5,6]

*["hello", "world!", 1, 2, 3] * 2
```
]
 
.panel2-hello_python-auto[

```
[1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4]
```

```
35
```

```
8
```

```
32
```

```
[1, 2, 3, 4, 5, 6]
```

```
['hello', 'world!', 1, 2, 3, 'hello', 'world!', 1, 2, 3]
```
]

---
count: false

```python
[1, 4] * 8

3 + 4 * 8

2 + 6

4 * 8

[1,2] + [3,4,5,6]

["hello", "world!", 1, 2, 3] * 2

*import numpy as np
```
]
 
.panel2-hello_python-auto[

```
[1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4]
```

```
35
```

```
8
```

```
32
```

```
[1, 2, 3, 4, 5, 6]
```

```
['hello', 'world!', 1, 2, 3, 'hello', 'world!', 1, 2, 3]
```
]

---
count: false

```python
[1, 4] * 8

3 + 4 * 8

2 + 6

4 * 8

[1,2] + [3,4,5,6]

["hello", "world!", 1, 2, 3] * 2

import numpy as np

*np.reshape(np.arange(1,25),
*   (4,3,2), "F")
```
]
 
.panel2-hello_python-auto[

```
[1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4]
```

```
35
```

```
8
```

```
32
```

```
[1, 2, 3, 4, 5, 6]
```

```
['hello', 'world!', 1, 2, 3, 'hello', 'world!', 1, 2, 3]
```

```
array([[[ 1, 13],
        [ 5, 17],
        [ 9, 21]],

[[ 2, 14],
        [ 6, 18],
        [10, 22]],

[[ 3, 15],
        [ 7, 19],
        [11, 23]],

[[ 4, 16],
        [ 8, 20],
        [12, 24]]])
```
]

---

```python
*import matplotlib.pyplot as plt
```
]
 
.panel2-simple_plot-auto[

]

---
count: false

```python
import matplotlib.pyplot as plt
*year = [1950, 1970,
* 1990, 2010]
```
]
 
.panel2-simple_plot-auto[

]

---
count: false

```python
import matplotlib.pyplot as plt
year = [1950, 1970,
  1990, 2010]
*pop = [2.519, 3, 5, 6]
```
]
 
.panel2-simple_plot-auto[

]

---
count: false

```python
import matplotlib.pyplot as plt
year = [1950, 1970,
  1990, 2010]
pop = [2.519, 3, 5, 6]
*plt.plot(year, pop); plt.show()
```
]
 
.panel2-simple_plot-auto[
![](python-flipbook_files/figure-html/simple_plot_auto_04_output-1.svg)![](python-flipbook_files/figure-html/simple_plot_auto_04_output-2.svg)
]

---

```python
*# import pandas as pd
```
]
 
.panel2-numpy-auto[

]

---
count: false

```python
# import pandas as pd
*import matplotlib.pyplot as plt
```
]
 
.panel2-numpy-auto[

]

---
count: false

```python
# import pandas as pd
import matplotlib.pyplot as plt
*import numpy as np
```
]
 
.panel2-numpy-auto[

]

---
count: false

```python
# import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
*t = np.arange(0, 2, .05)
```
]
 
.panel2-numpy-auto[

]

---
count: false

```python
# import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0, 2, .05)
*t 
```
]
 
.panel2-numpy-auto[

```
array([0.  , 0.05, 0.1 , 0.15, 0.2 , 0.25, 0.3 , 0.35, 0.4 , 0.45, 0.5 ,
       0.55, 0.6 , 0.65, 0.7 , 0.75, 0.8 , 0.85, 0.9 , 0.95, 1.  , 1.05,
       1.1 , 1.15, 1.2 , 1.25, 1.3 , 1.35, 1.4 , 1.45, 1.5 , 1.55, 1.6 ,
       1.65, 1.7 , 1.75, 1.8 , 1.85, 1.9 , 1.95])
```
]

---
count: false

```python
# import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0, 2, .05)
t
*s = np.sin(2*np.pi*t)
```
]
 
.panel2-numpy-auto[

---
count: false

```python
# import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0, 2, .05)
t
s = np.sin(2*np.pi*t)
*s 
```
]
 
.panel2-numpy-auto[

```
array([ 0.00000000e+00,  3.09016994e-01,  5.87785252e-01,  8.09016994e-01,
        9.51056516e-01,  1.00000000e+00,  9.51056516e-01,  8.09016994e-01,
        5.87785252e-01,  3.09016994e-01,  1.22464680e-16, -3.09016994e-01,
       -5.87785252e-01, -8.09016994e-01, -9.51056516e-01, -1.00000000e+00,
       -9.51056516e-01, -8.09016994e-01, -5.87785252e-01, -3.09016994e-01,
       -2.44929360e-16,  3.09016994e-01,  5.87785252e-01,  8.09016994e-01,
        9.51056516e-01,  1.00000000e+00,  9.51056516e-01,  8.09016994e-01,
        5.87785252e-01,  3.09016994e-01,  3.67394040e-16, -3.09016994e-01,
       -5.87785252e-01, -8.09016994e-01, -9.51056516e-01, -1.00000000e+00,
       -9.51056516e-01, -8.09016994e-01, -5.87785252e-01, -3.09016994e-01])
```
]

---

```python
*plt.plot(t, s)
```
]
 
.panel2-numpy2-auto[
![](python-flipbook_files/figure-html/numpy2_auto_01_output-1.svg)
]

---
count: false

```python
plt.plot(t, s)
*plt.xlabel('time (s)')
```
]
 
.panel2-numpy2-auto[
![](python-flipbook_files/figure-html/numpy2_auto_02_output-1.svg)
]

---
count: false

```python
plt.plot(t, s)
plt.xlabel('time (s)')
*plt.ylabel('voltage (mV)')
```
]
 
.panel2-numpy2-auto[
![](python-flipbook_files/figure-html/numpy2_auto_03_output-1.svg)
]

---
count: false

```python
plt.plot(t, s)
plt.xlabel('time (s)')
plt.ylabel('voltage (mV)')
*plt.grid(True); plt.show()
```
]
 
.panel2-numpy2-auto[
![](python-flipbook_files/figure-html/numpy2_auto_04_output-1.svg)
]

@media print {
  .has-continuation {
    display: block;
  }
}
</style>