00_first_notebook_script.py

#!/usr/bin/env python
# coding: utf-8

# # Jupyter Notebook Document

# ## *Literate analysis* in Jupyter Notebook
# 
# In *literate analysis*, **documentation**, **specification**, **explanation**, **interpretation,** and **code** co-exist in a single document that presents the analysis process in a narrative format.
# 
# In contrast to scripts, where code is the default kind of content and everything else must be shoe-horned into comments, notebooks are based on **cells**. 
# 
# **Cells can be:**
# 
# - *Markdown* formatted text cells
# - *Code* cells (python code is default in python notebooks but others are possible)
# - *Raw*, unformatted text
# 

# ### Code Cells
# 
# Code and results appear in specially designated content blocks.
# Execute a cell with <kbd>shift</kbd> + <kbd>return</kbd> or use the <kbd>&#9654;</kbd> button in the toolbar.

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2 + 2 


# ### Markdown Cells
# Markdown cells support a range of formatting options via [Markdown](https://daringfireball.net/projects/markdown/) and html5
# 
# - *italics* 
# - **bold**
# - `code`
# - [links](https://jupyterlab.readthedocs.io/)
# - Inline LaTeX equations: $E = mc^{2}$
# 
# 
# \begin{equation}
# e^x=\sum_{i=0}^\infty \frac{1}{i!}x^i
# \end{equation}

# ### Raw Cells
# 
# Raw cells show their contents. For example, the raw cell below shows the raw markdown from the cell above. 
- *italics* 
- **bold**
- `code`
- [links](https://jupyterlab.readthedocs.io/)
- Inline LaTeX equations: $E = mc^{2}$

\begin{equation}
e^x=\sum_{i=0}^\infty \frac{1}{i!}x^i
\end{equation}
# ## Hierarchical Organization
# 
# Markdown supports six levels of headers to organize your document. Headers are text preceded by one to six hash symbols. The more hash symbols, the lower the level. 
# 
# The outline pane on the left side shows the document outline and permits quick navigation. 
# 
```
# H1 heading (top level header)
## H2
### H3
#### H4
##### H5
###### H6 (deepest level header)
```
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# scroll down #


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# ### Heading Anchors

# [Code Cells](#Code-Cells)
# 
# `[Code Cells](#Code-Cells)`

# ---

# # Jupyter Interface
# 
# ## Panels
# 
# 1. File browser
# 2. Active kernel list
# 3. Outline view
# 4. Extensions
# 5. Inspector
# 6. Debug

# ## Menus
# 
# - View > Activate Command Palette
# - Edit > Split / Merge Cells
# 
# ## Documents
# 
# 1. Notebooks
# 2. Consoles
# 3. Terminals (to underlying OS)

# ## Editing Notebooks

# ### Re-order Cells
# 

# #### <span style="color:red"> Move me! </span>

# ### Multiple Cursors

# Sometimes, you need to edit several places at once. Press command (macOS) or alt (Windows) and click to place additional cursors. 

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# Change the 4 "dd"s to "gg"
+ gg.theme_bw()
+ gg.theme(figure_size=(10,6))
+ gg.theme(axis_text_x=dd.element_text(angle=30, hjust=1))


# ---

# # Features

# ## Execute Terminal Commands in host system

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#!pip install 


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get_ipython().system(' ls')


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get_ipython().run_cell_magic('bash', '', '#Unix hosts only\nls\n')


# ### Jupytext Extension
# 
# Pair the notebook with a "lightscript" file. Lightscript is can be executed like a python script file (.py) but also contains all the info needed to be reconstituted into a jupyter notebook. It strips out non-content metadata in the process, so lightscript files are a good choice to use with github (the file differences will only be actual differences in content). 
# 
# With lightscript, you can also tag individual cells to be active/inactive only in certain formats. This is useful when you are writing a notebook that uses special notebook-only features that should also be runnable as a script.
# 
# Use the *Pair Notebook with Lightscript* command in *View > Activate Command Palette*. 
# 
# Refer to the Jupytext Manual [https://jupytext.readthedocs.io/en/latest/install.html](https://jupytext.readthedocs.io/en/latest/install.html) for more details.

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# ### TQDM
# 
# A popular progress bar tool integrated with many data science packages.

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# has active-ipynb tag
from tqdm.notebook import tqdm

# has active-py tag
from tqdm import tqdm
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import time

for i in tqdm(range(20)):
    time.sleep(.5)


# ### Time and Timeit cell magics

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get_ipython().run_cell_magic('time', '', 'for i in tqdm(range(20)):\n    time.sleep(.5)\n')


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get_ipython().run_cell_magic('timeit', '', 'sum(x**2 for x in range(1,100000,10))\n')


# ### Jupyter Widgets
# 
# Widgets are a collection of simple interactive elements that can be used to create a GUI in Jupyter. 
# 
# Uses:
# 
# - enhance teaching and communication
# - support specialized interactive data analysis
# - create simple interfaces for human coding tasks like tagging, sorting, ranking or classifying.  
# 
# 
# https://ipywidgets.readthedocs.io/en/stable/lite/lab/

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import ipywidgets as widgets
from IPython.display import display


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date_w = widgets.DatetimePicker(
    description='Pick a Time',
    disabled=False
)
display(date_w)


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print(date_w.value)


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