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Time the performance by timeit and cell magic

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Goal

This post aims to introduce how to measure the running time of your code or function by using timeit module and cell magic command %%time and %%timeit.

Reference *Time a Python Function

Libraries

In [1]:
import pandas as pd
import timeit

Measure a literal code

In [2]:
timeit.timeit('2**10')
Out[2]:
0.01853936500265263

Measure the execution time for a function

In [4]:
def execute_abc(x=10):
    return 2 ** 10
In [7]:
timeit.timeit(execute_abc)
Out[7]:
0.0984989230055362

Measure the time by using Cell Magic in Jupyter Notebook

In [3]:
%%time
2**10

CPU times: user 4 µs, sys: 1e+03 ns, total: 5 µs
Wall time: 11 µs
Out[3]:
1024
In [9]:
%timeit 2**10

17.9 ns ± 0.597 ns per loop (mean ± std. dev. of 7 runs, 100000000 loops each)

Create A Temporary File

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Goal

This post aims to create a temporary file using tempfile

Reference

Libraries

In [1]:
import tempfile

Create a temporary file

In [9]:
temp_file = tempfile.NamedTemporaryFile()
temp_file.name
Out[9]:
'/var/folders/9_/tl0k78wd62xchzsh_4x4bz0h0000gn/T/tmp75145s92'
In [23]:
!ls -a /var/folders/9_/tl0k78wd62xchzsh_4x4bz0h0000gn/T/ | grep tmp7

tmp75145s92

Createa a temporary directory

In [8]:
temp_dir = tempfile.TemporaryDirectory()
temp_dir.name
Out[8]:
'/var/folders/9_/tl0k78wd62xchzsh_4x4bz0h0000gn/T/tmpje1mz_wj'
In [19]:
!ls /var/folders/9_/tl0k78wd62xchzsh_4x4bz0h0000gn/T/ | grep tmpje

tmpje1mz_wj

Data Exploration Tool - Lantern Part 1

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Overview

Lantern is a python module for a toolkit collection for data exploration from a variety of dataset to visualization.

In this post, I will walk through the followings:

  • How to set up lantern
  • What lantern can do
    • dataset
    • plot (visualization)
    • grid (interactive table view)
    • widget

Read more…