This is the first lesson!¶

This is a Jupyter Notebook, an interactive Python coding environment. What you'll see below is Python code that is dynamically computed. It's a simple addition, but just for demonstration purposes 👇:

In [1]:

2 + 2

Out[1]:

In [1]:

from datetime import datetime

Days between 1st moon landing and beginning of year 2020:

In [4]:

(datetime(2020, 1, 1) - datetime(1969, 7, 20)).days

Out[4]:

For example, click on the tab that says "Terminal 1" to see an interactive linux terminal. We've hidden a text file with our contact info. Can you find it? 😉

Batteries included¶

We've packed the most popular Python libraries in Namespace. requests, pandas, matplotlib, etc. Just import and start using them.

In [1]:

import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns

%matplotlib inline

Pokemon Time!¶

pokemon_logo

To demonstrate the capabilities of Namespace and the integrated Jupyter environment, we'll do a quick analysis of Pokemon data. To do this, we're importing pandas, matplotlib and seaborn.

First, we'll read the CSV included in this lecture. Notice that it's a local dataset, it's included in our lecture.

In [9]:

df = pd.read_csv('pokemon.csv', index_col=0)

In [10]:

df.head()

Out[10]:

	Name	Type 1	Type 2	Total	HP	Attack	Defense	Sp. Atk	Sp. Def	Speed	Stage	Legendary
#
1	Bulbasaur	Grass	Poison	318	45	49	49	65	65	45	1	False
2	Ivysaur	Grass	Poison	405	60	62	63	80	80	60	2	False
3	Venusaur	Grass	Poison	525	80	82	83	100	100	80	3	False
4	Charmander	Fire	NaN	309	39	52	43	60	50	65	1	False
5	Charmeleon	Fire	NaN	405	58	64	58	80	65	80	2	False

In [11]:

stats_df = df.drop(['Total', 'Stage', 'Legendary'], axis=1)

In [12]:

sns.boxplot(data=stats_df)

Out[12]:

<AxesSubplot:>

In [18]:

corr = stats_df.corr()
 
# Heatmap
sns.heatmap(corr)

Out[18]:

<AxesSubplot:>

Accessing other views¶

Now try to use the Terminal view (click on the tab Terminal 1) to fetch the data under contact.txt and move to the next lesson!

NamespaceNamespace

Meta - Lesson 1

This is the first lesson!¶

Batteries included¶

Pokemon Time!¶

Accessing other views¶