Add nbconvert

README.md

@@ -199,3 +199,13 @@ Sometimes you would need a functionality which is not directly provided by Keras
 (i.e. a neural network which takes input from multiple data sources, and does a combined training on this data), and you want that the data generator should be able to handle the data preparation on the fly, you can create a wrapper around ImageDataGenerator class to give the required output.[This notebook](./Code/CustomDataGen_Keras.ipynb) explains a simple solution to this usecase. 
 
 2. Another use case could be that you want to resize the images from a shape say 150x150 to a shape 224x224, which is generally utilized by the pretrained models, you can customize the ImageDataGenerator without coding your own data generator from ground up [(Example Notebook)](https://github.com/faizankshaikh/AV_Article_Codes/blob/master/Inception_From_Scratch/improvements/Inception_v1_from_Scratch.ipynb).
+
+- ### Data Science Hack #45 Easily Convert Notebooks to Python Scripts and Sharable Files with nbconvert
+### Run nbconvert from the Command Line
+From your terminal shell, run `jupyter nbconvert --to my_format my_notebook.ipynb`.
+`my_format` is one of the conversion options.
+`my_notebook.ipynb` is the name of the file path to your notebook to be converted.
+
+### Running nbconvert in a program
+`jupyter nbconvert --to script my_notebook.ipynb` creates `my_notebook.py` in the same folder. 
+Then you can run `python my_notebook.py`