Book Image

Modern Python Standard Library Cookbook

By : Alessandro Molina
Book Image

Modern Python Standard Library Cookbook

By: Alessandro Molina

Overview of this book

The Python 3 Standard Library is a vast array of modules that you can use for developing various kinds of applications. It contains an exhaustive list of libraries, and this book will help you choose the best one to address specific programming problems in Python. The Modern Python Standard Library Cookbook begins with recipes on containers and data structures and guides you in performing effective text management in Python. You will find Python recipes for command-line operations, networking, filesystems and directories, and concurrent execution. You will learn about Python security essentials in Python and get to grips with various development tools for debugging, benchmarking, inspection, error reporting, and tracing. The book includes recipes to help you create graphical user interfaces for your application. You will learn to work with multimedia components and perform mathematical operations on date and time. The recipes will also show you how to deploy different searching and sorting algorithms on your data. By the end of the book, you will have acquired the skills needed to write clean code in Python and develop applications that meet your needs.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Workdays


In many management applications, you only have to consider workdays, and Saturdays and Sundays won't matter. You are not working during those days, so from a work point of view, they don't exist.

So when computing days included in a given timespan for a project management or work-related application, you can ignore those days.

How to do it...

We want to grab the list of days between two dates as far as they are working days:

def workdays(d, end, excluded=(6, 7)):
    days = []
    while d.date() < end.date():
        if d.isoweekday() not in excluded:
            days.append(d)
        d += datetime.timedelta(days=1)
    return days

For example, if it's March 22nd, 2018, which is a Thursday, and I want to know the working days up to the next Monday (which is March 26th), I can easily ask for workdays:

>>> workdays(datetime.datetime(2018, 3, 22), datetime.datetime(2018, 3, 26))
[datetime.datetime(2018, 3, 22, 0, 0), 
 datetime.datetime(2018, 3, 23, 0, 0)]

So we know that two...