Python Programming Bible for Beginners by PUBLISHING PROGRAMMING LANGUAGES
Author:PUBLISHING, PROGRAMMING LANGUAGES
Language: eng
Format: epub
Published: 2021-12-15T00:00:00+00:00
It is the right practice to name a Python function based on what it achieves. Apply a docstring below the first line of a function declaration. It is a documentation string, and it describes what the function implements.
Basics of Functions
To define functions in Python, you use the def statement. This statement ends with a colon, and the code inside the function is indented just below the def statement. For example:
Letâs look at this program in detail.
From the following program, the last part of the code has a function call.
Functions are vital because they help you avoid the need to write the same code everywhere.
If you want to draw a box of stars in your program, a Python function can be helpful. Whenever you want a box, you simply insert the function to draw the box instead of typing different lines of redundant code. Below is the function:
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Building Data Science Solutions with Anaconda by Dan Meador(3438)
Simplify Big Data Analytics with Amazon EMR by Sakti Mishra(2688)
Building Modern CLI Applications in Go by Marian Montagnino(1427)
Getting Started with Forex Trading Using Python by Alex Krishtop(1370)
Simplify Big Data Analytics With Amazon EMR: A Beginner's Guide to Learning and Implementing Amazon EMR for Building Data Analytics Solutions by Sakti Mishra(1076)
Natural Language Processing Fundamentals by Sohom Ghosh(703)
Sebastian Raschka Python Machine Learning Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics by Unknown(540)
+ Excel for Finance and Accounting: Learn how to optimize Excel formulas and functions for financial analysis by Suraj Kumar Lohani(513)
Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and Matplotlib by Rajender Kumar(388)
Statistical Data Analysis Using SAS Intermediate Statistical Methods 2nd Edition by Unknown(357)
Fundamentals of Data Engineering by Joe Reis and Matt Housley(339)
Essential Guide to LLMOps by Ryan Doan;(318)
Data Wrangling Using Pandas, SQL, and Java by Oswald Campesato(304)
Hacking SaaS by Eric Mersch(248)
ChatGPT Millions: Ideas to Generate Your First Million Using ChatGPT and AI by Johnson Omar(232)
MICROSOFT OFFICE 365 FOR BEGINNERS & ADVANCED USERS: THE MOST UPDATED USERG GUIDE TO LEARN MICROSOFT OFFICE 365 (WORD, EXCEL, POWERPOINT, & PUBLISHER) by GIBSON CRYSTAL(225)
Microsoft PowerPoint - BATSA presentation D Crow - web.ppt by denslows(223)
Confident Data Science: Discover The Essential Skills of Data Science by Adam Ross Nelson(206)
Natural Language Processing with Java and LingPipe Cookbook by Unknown(199)
