Commit 94e10da3 authored by Simon van Hemert's avatar Simon van Hemert
Browse files

Auto-saving for simon.vanhemert on branch master from commit 6284d5c3

parent adafda90
%% Cell type:markdown id: tags:
### Checking your installation
Please check that the notebook below runs smoothly.
%% Cell type:code id: tags:
``` python
import sys
sys.version #Should work and give 3.7.
```
%%%% Output: execute_result
'3.7.7 (default, May 6 2020, 11:45:54) [MSC v.1916 64 bit (AMD64)]'
'3.7.6 | packaged by conda-forge | (default, Mar 23 2020, 23:03:20) \n[GCC 7.3.0]'
%% Cell type:code id: tags:
``` python
import tensorflow as tf
tf.__version__ #Should work and give 2.1.0
```
%%%% Output: execute_result
%%%% Output: error
'2.1.0'
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-3-95f13b94b4a0> in <module>
----> 1 import tensorflow as tf
2 tf.__version__ #Should work and give 2.1.0
ModuleNotFoundError: No module named 'tensorflow'
%% Cell type:code id: tags:
``` python
import numpy as np
np.__version__ #Should work and give something > 1.19
```
%%%% Output: execute_result
'1.19.1'
%% Cell type:code id: tags:
``` python
import matplotlib.pyplot as plt
%matplotlib inline
plt.scatter(range(100), np.sin(0.1 * np.array(range(100))))
```
%%%% Output: execute_result
<matplotlib.collections.PathCollection at 0x17a7a929508>
%%%% Output: display_data
![](data:image/png;base64,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)
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