Skip to Content
Python Data Analysis Cookbook
book

Python Data Analysis Cookbook

by Ivan Idris
July 2016
Beginner to intermediate
462 pages
9h 14m
English
Packt Publishing
Content preview from Python Data Analysis Cookbook

Launching multiple tasks with the concurrent.futures module

The concurrent.futures module is a Python module with which we can execute callables asynchronously. If you are familiar with Java and go through the module, you will notice some similarities with the equivalent Java API, such as class names and architecture. According to the Python documentation, this is not a coincidence.

A task in this context is an autonomous unit of work. For instance, printing a document can be considered a task, but usually we consider much smaller tasks, such as adding two numbers.

How to do it...

  1. The imports are as follows:
    import dautil as dl import ch12util from functools import partial import matplotlib.pyplot as plt import numpy as np from scipy.stats import ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Machine Learning Cookbook - Second Edition

Python Machine Learning Cookbook - Second Edition

Giuseppe Ciaburro, Prateek Joshi
Python: End-to-end Data Analysis

Python: End-to-end Data Analysis

Phuong Vothihong, Martin Czygan, Ivan Idris, Magnus Vilhelm Persson, Luiz Felipe Martins
Python Data Science Essentials - Third Edition

Python Data Science Essentials - Third Edition

Alberto Boschetti, Luca Massaron, Pietro Marinelli, Matteo Malosetti

Publisher Resources

ISBN: 9781785282287Supplemental Content