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Data Literacy With Python

You're reading from   Data Literacy With Python A Comprehensive Guide to Understanding and Analyzing Data with Python

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Product type Paperback
Published in Jul 2024
Publisher Mercury_Learning
ISBN-13 9781836640097
Length 271 pages
Edition 1st Edition
Languages
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Authors (2):
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Mercury Learning and Information Mercury Learning and Information
Author Profile Icon Mercury Learning and Information
Mercury Learning and Information
Oswald Campesato Oswald Campesato
Author Profile Icon Oswald Campesato
Oswald Campesato
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Toc

Table of Contents (9) Chapters Close

Preface
1. Chapter 1: Working With Data 2. Chapter 2: Outlier and Anomaly Detection FREE CHAPTER 3. Chapter 3: Cleaning Datasets 4. Chapter 4: Introduction to Statistics 5. Chapter 5: Matplotlib and Seaborn 6. Index
Appendix A: Introduction to Python 1. Appendix B: Introduction to Pandas

WORKING WITH DATES

Python provides a rich set of date-related functions that are documented here:

http://docs.python.org/2/library/datetime.html

Listing A.7 displays the contents of the Python script Datetime2.py that displays various date-related values, such as the current date and time; the day of the week, month, and year; and the time in seconds since the epoch.

Listing A.7: Datetime2.py

import time
import datetime

print("Time in seconds since the epoch: %s" %time.time())
print("Current date and time: " , datetime.datetime.now())
print("Or like this: " ,datetime.datetime.now().
strftime("%y-%m-%d-%H-%M")) print("Current year: ", datetime.date.today().
strftime("%Y")) print("Month of year: ", datetime.date.today().
strftime("%B")) print("Week number of the year: ", datetime.date.
today().strftime("%W")) print("Weekday of the week: ", datetime.date.today().
strftime("%w&quot...
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Tech Concepts
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Programming languages
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