ebook img

Mastering Python for Web: A Beginner's Guide (Mastering Computer Science) PDF

303 Pages·2022·5.435 MB·English
Save to my drive
Quick download
Download
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.

Preview Mastering Python for Web: A Beginner's Guide (Mastering Computer Science)

Mastering Python for Web Mastering Computer Science Series Editor: Sufyan bin Uzayr Mastering Python for Web: A Beginner’s Guide Mathew Rooney and Madina Karybzhanova Mastering Android Studio: A Beginner’s Guide Divya Sachdeva and Reza Nafim Mastering Swift: A Beginner’s Guide Mathew Rooney and Madina Karybzhanova Mastering C++: A Beginner’s Guide Divya Sachdeva and Natalya Ustukpayeva Mastering Git: A Beginner’s Guide Sumanna Kaul, Shahryar Raz, and Divya Sachdeva Mastering Ruby on Rails: A Beginner’s Guide Mathew Rooney and Madina Karybzhanova For more information about this series, please visit: https:// www.routledge.com/Mastering-Computer-Science/ book-series/MCS The “Mastering Computer Science” series of books are authored by the Zeba Academy team members, led by Sufyan bin Uzayr. Zeba Academy is an EdTech venture that develops courses and content for learners primarily in STEM fields, and offers education consulting to Universities and Institutions worldwide. For more info, please visit https:// zeba.academy Mastering Python for Web A Beginner’s Guide Edited by Sufyan bin Uzayr First edition published 2022 by CRC Press 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742 and by CRC Press 2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN CRC Press is an imprint of Taylor & Francis Group, LLC © 2022 Sufyan bin Uzayr Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, access www. copyright.com or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. For works that are not available on CCC please contact [email protected] Trademark Notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe. ISBN: 9781032135670 (hbk) ISBN: 9781032135656 (pbk) ISBN: 9781003229896 (ebk) DOI: 10.1201/9781003229896 Typeset in Minion by KnowledgeWorks Global Ltd. Contents About the Editor, xiii Chapter 1 ◾ I ntroduction to Python 1 PYTHON 2 VS. PYTHON 3 3 A BRIEF HISTORY OF PYTHON 11 INSTALLING AND CONFIGURING PYTHON 16 HOW TO INSTALL PYTHON ON WINDOWS 19 How to Install from the Microsoft Store 22 How to Install from the Full Installer 24 HOW TO INSTALL PYTHON ON macOS 25 How to Install from the Official Installer 28 How to Install from Homebrew 29 HOW TO INSTALL PYTHON ON LINUX 31 How to Install on Ubuntu and Linux Mint 33 How to Install on Debian Linux 34 How to Install on openSUSE 34 How to Install on CentOS and Fedora 35 How to Install on Arch Linux 35 v vi ◾ Contents HOW TO BUILD PYTHON FROM SOURCE CODE 36 HOW TO INSTALL PYTHON ON iOS 39 HOW TO INSTALL PYTHON ON ANDROID 40 ONLINE PYTHON INTERPRETERS 40 REGENERATE CONFIGURE 41 Chapter 2 ◾ P ython Data Type 43 Additional Methods on Integer Types 46 STRING DATA TYPE 54 SET DATA TYPE 62 Operators and Methods 62 Modifying a Set 64 NUMBERS DATA TYPE 65 Integers 67 Floating Point Numbers 67 Complex Numbers 68 Number Type Conversion 69 LIST DATA TYPE 72 Accessing Values in Lists 74 Updating Lists 74 Delete List Elements 75 Basic List Operations 76 Built-In List Functions and Methods 76 DICTIONARY DATA TYPE 77 Creating a Dictionary 78 Contents ◾ vii Accessing Values in Dictionary 78 Updating Dictionary 79 Delete Dictionary Elements 79 Properties of Dictionary Keys 80 Built-in Dictionary Functions & Methods 80 Tuple Data Type 82 Accessing Values in Tuples 83 Updating Tuples 84 Delete Tuple Elements 84 Basic Tuples Operations 85 Built-in Tuple Functions 85 Chapter 3 ◾ P ython Comments and Documentation 89 SINGLE LINE, INLINE, AND MULTILINE COMMENTS 91 HOW PYTHON MULTILINE COMMENT WORKS? 94 Block Comments 95 Shebang 96 PYTHON COMMENTING BEST PRACTICES 97 When Writing Code for Yourself 97 When Writing Code for Others 99 PYTHON COMMENTING WORST PRACTICES 100 HOW TO PRACTICE COMMENTING? 104 viii ◾ Contents PROGRAMMATICALLY ACCESSING DOCSTRINGS 106 Single-Line Docstrings 106 Multi-line Docstrings 107 Docstring Formats 108 WRITE DOCUMENTATION VIA DOCSTRINGS 113 Paragraphs 115 Inline Markup 115 Sections 115 Meta-information Markup 116 Information Units 117 Inline Markup 122 Chapter 4 ◾ P rograms, Algorithms, and Functions 133 PYTHON SCRIPTS AND MODULES 135 What’s the Python Interpreter? 135 Using the Python Command 137 Using the Script Filename 138 How to Run Python Scripts Interactively 139 How to Run Python Scripts from an IDE or a Text Editor 140 How to Run Python Scripts from a File Manager 141 Joining Two Strings 142 Format Floating Point in the String 142 Contents ◾ ix Raise a Number To a Power 143 Working with Boolean Types 144 Use of If-Else Statement 145 Use of AND and OR Operators 146 Locating Modules 148 Standard Modules 148 Python Packages 149 PYTHON ALGORITHMS 151 How Do You Write Algorithms? 151 Characteristics of an Algorithm 153 Brute Force 154 Divide and Conquer 155 Tree Traversal Algorithms 155 Sorting Algorithms 157 Searching Algorithms 159 Algorithm Analysis 161 BASIC FUNCTIONS 161 DYNAMIC PROGRAMMING 165 Recursive Method 168 Top-Down Method 169 Bottom Down 169 LAMBDA FUNCTIONS 170 Syntax 174 Decorators 175

See more

The list of books you might like

Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.