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from __future__ import print_function, division
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline

import numpy as np
import pandas as pd
import textwrap
import os
import sys
import warnings
warnings.filterwarnings('ignore')

# special things
from pivottablejs import pivot_ui
from ipywidgets import FloatSlider, interactive, IntSlider
from scipy import interpolate

# sql
%load_ext sql_magic
import sqlalchemy
import sqlite3
from sqlalchemy import create_engine
sqlite_engine = create_engine('sqlite://')

# autoreload
%load_ext autoreload
%autoreload 1
# %aimport module_to_reload

# ehh...
# import bqplot.pyplot as plt
import ipyvolume as ipv
import altair as alt
from vega_datasets import data

import seaborn as sns
sns.set_context('poster', font_scale=1.3)

Check out nbdime

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and the documentation about adding the nbdime https://nbdime.readthedocs.io/en/latest/extensions.html

Notebook Extensions

datestamper

Last updated 2018-09-17 19:03:57

2019-06-05 18:49:02

ToC(2)

ExecuteTime



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print("hello world")









    



hello world



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from __future__ import print_function, division
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline



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fig, ax = plt.subplots(figsize=(12, 8))

fig.tight_layout()



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from __future__ import print_function, division
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline

import numpy as np
import pandas as pd
import textwrap
import os
import sys
import warnings
warnings.filterwarnings('ignore')

# special things
from pivottablejs import pivot_ui
from ipywidgets import FloatSlider, interactive, IntSlider
from scipy import interpolate

# sql
%load_ext sql_magic
import sqlalchemy
import sqlite3
from sqlalchemy import create_engine
sqlite_engine = create_engine('sqlite://')

# autoreload
%load_ext autoreload
%autoreload 1
# %aimport module_to_reload

# ehh...
# import bqplot.pyplot as plt
import ipyvolume as ipv
import altair as alt
from vega_datasets import data

import seaborn as sns
sns.set_context('poster', font_scale=1.3)



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from __future__ import print_function, division
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline



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from __future__ import print_function, division
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline



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import pandas as pd

Runtools



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a = 10



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a = 2



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b = 'b'
TTR = 0.13



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print(a, b)

Hide input all



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a = 54.5555

Python Markdown

The value of a is {{a}}. Useful for anything you want to report.

Scratchpad

CTRL-B

Variable Inspector



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julija = "Julija!!"

Code prettify

https://neuralcoder.science/Black-Jupyter/
Follow the instructions there for using black as your code formatter.



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weight_categories = [    "vlow_weight",    "low_weight",
    "mid_weight",    "high_weight",
    "vhigh_weight",]

players['weightclass'] = pd.qcut(players['weight'],
     len(weight_categories), weight_categories)



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weight_categories = [
    "vlow_weight",
    "low_weight",
    "mid_weight",
    "high_weight",
    "vhigh_weight",
]

players["weightclass"] = pd.qcut(
    players["weight"], len(weight_categories), weight_categories
)

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Notify

In theory, this will give you a browser notification if your kernel has been busy for at least N seconds (after you give permission).



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import time
time.sleep(10)

Outside Notebooks

Codefolding in Editor



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np.linspace??

Tree Filter

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