# Jupyter Notebooks

## Adding kernel for Hydrogen in Atom

1. Install the ipykernel in your virtual environment: `pipenv install ipykernel`
2. Start shell with: `pipenv shell`
3. Set name so Atom Hydrogen can recognize: `pipenv run python -m ipykernel install --user --name=name-of-kernel`
4. Start Atom (from within pipenv shell) and when you run code (control-enter), Atom should list python kernels to use (including `name-of-kernel`)

## Installing Modules

```python
# Install a pip package in the current Jupyter kernel
import sys
!{sys.executable} -m pip install scipy
```

the last word is the name of the module to install

## Capturing Output to File

You can use `%%capture` Jupyter notebook's magic command to catch output of cell and then paste it to your text file with

```python
with open('output.txt', 'w') as out:
   out.write(cap.stdout)
```

if you want to cell code to specific file for example.txt you can use magic function `%%writefile`

```python
%%writefile example.txt
ab = 'This is code'
a = 5
print(a+ 2)
```

Also if you want to append to file you must use `-a` parameter

***

* [How\_to\_get\_started\_coding\_in\_Python?](https://nbviewer.jupyter.org/github/Tanu-N-Prabhu/Python/blob/master/How_to_get_started_coding_in_Python%3F.ipynb), this notebook explains how to become a good python programmer, by [Tanu Nanda Prabhu](https://github.com/Tanu-N-Prabhu/Python), author and editor at [Towards data science](https://medium.com/@tanunprabhu95)
* [Python Strings from Scratch !!!](https://nbviewer.jupyter.org/github/Tanu-N-Prabhu/Python/blob/master/Strings/Strings.ipynb), this notebook explains Python Strings from basic to advance level, by [Tanu Nanda Prabhu](https://github.com/Tanu-N-Prabhu/Python)
* [Python Tuples from Scratch !!!](https://nbviewer.jupyter.org/github/Tanu-N-Prabhu/Python/blob/master/Tuples/%20Tuples.ipynb), this notebook explains Python Tuples from basic to advance level, by [Tanu Nanda Prabhu](https://github.com/Tanu-N-Prabhu/Python)
* [Python Dictionary from Scratch !!!](https://nbviewer.jupyter.org/github/Tanu-N-Prabhu/Python/blob/master/Dictionary%20/%20Python_Dictionary.ipynb), this notebook explains Python Dictionary from basic to advance level, by [Tanu Nanda Prabhu](https://github.com/Tanu-N-Prabhu/Python)
* [Python Lists from Scratch !!!](https://nbviewer.jupyter.org/github/Tanu-N-Prabhu/Python/blob/master/Lists.ipynb), this notebook explains Python Lists from basic to advance level with the help of an example, by [Tanu Nanda Prabhu](https://github.com/Tanu-N-Prabhu/Python).
* [Learning to code with Python](http://nbviewer.ipython.org/urls/bitbucket.org/amjoconn/watpy-learning-to-code-with-python/raw/3441274a54c7ff6ff3e37285aafcbbd8cb4774f0/notebook/Learn%20to%20Code%20with%20Python.ipynb), part of an [introduction to Python](https://bitbucket.org/amjoconn/watpy-learning-to-code-with-python/src) from the [Waterloo Python users group](http://watpy.ca/blog/post/learn-code-python-review-feb-2013).
* [Introduction to Python for Data Scientists](http://nbviewer.jupyter.org/github/phelps-sg/python-bigdata/blob/master/src/main/ipynb/intro-python.ipynb) by [Steve Phelps](http://sphelps.net) (part of a larger collection on [Data Science and Big Data](https://github.com/phelps-sg/python-bigdata)).
* [Python Descriptors Demystified](http://nbviewer.ipython.org/gist/ChrisBeaumont/5758381/descriptor_writeup.ipynb), an in-depth discussion of the descriptor protocol in Python, by [Chris Beaumont](http://chrisbeaumont.org).
* [A collection of not so obvious Python stuff you should know!](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/not_so_obvious_python_stuff.ipynb?create=1), by [Sebastian Raschka](https://github.com/rasbt).
* [Key differences between Python 2.7.x and Python 3.x](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/key_differences_between_python_2_and_3.ipynb), by [Sebastian Raschka](https://github.com/rasbt).
* [A beginner's guide to Python's namespaces, scope resolution, and the LEGB rule](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/scope_resolution_legb_rule.ipynb?create=1), by [Sebastian Raschka](https://github.com/rasbt).
* [Sorting CSV files using the Python csv module](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/sorting_csvs.ipynb), by [Sebastian Raschka](https://github.com/rasbt).
* Python 3 OOP series by [Leonardo Giordani](https://github.com/lgiordani): [Part 1: Objects and types](http://nbviewer.ipython.org/github/lgiordani/blog_source/blob/master/pelican/content/notebooks/Python_3_OOP_Part_1__Objects_and_types.ipynb), [Part 2: Classes and members](http://nbviewer.ipython.org/github/lgiordani/blog_source/blob/master/pelican/content/notebooks/Python_3_OOP_Part_2__Classes_and_members.ipynb), [Part 3: Delegation - composition and inheritance](http://nbviewer.ipython.org/github/lgiordani/blog_source/blob/master/pelican/content/notebooks/Python_3_OOP_Part_3__Delegation__composition_and_inheritance.ipynb), [Part 4: Polymorphism](http://nbviewer.ipython.org/github/lgiordani/blog_source/blob/master/pelican/content/notebooks/Python_3_OOP_Part_4__Polymorphism.ipynb), [Part 5: Metaclasses](http://nbviewer.ipython.org/github/lgiordani/blog_source/blob/master/pelican/content/notebooks/Python_3_OOP_Part_5__Metaclasses.ipynb), [Part 6: Abstract Base Classes](http://nbviewer.ipython.org/github/lgiordani/blog_source/blob/master/pelican/content/notebooks/Python_3_OOP_Part_6__Abstract_Base_Classes.ipynb)
* [How to Aggregate Subscriber's Interest using the 3 methods:](https://nbviewer.jupyter.org/github/abbas-taher/Montreal-Python-69/blob/master/Montreal%20Python%2069.ipynb) (1) Python Dictionary, (2) Apache PySpark - GroupBy Transformation, and (3) Apache PySpark - ReduceBy Transformation by [Abbas Taher](https://github.com/abbas-taher).