Steven F. Lott - Modern Python Cookbook
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- Book:Modern Python Cookbook
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- Develop succinct, expressive programs in Python
- Learn the best practices and common idioms through carefully explained and structured recipes
- Discover new ways to apply Python for the new age of development
Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insight into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand.
This book comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The book is broken down into 13 chapters that build from simple language concepts to more complex applications of the language.
The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. You will end the book equipped with the knowledge of testing, web services, and configuration and application integration tips and tricks.
The recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe. You will be armed with the knowledge of creating applications with flexible logging, powerful configuration, and command-line options, automated unit tests, and good documentation.
What you will learn- See the intricate details of the Python syntax and how to use it to your advantage
- Improve your code readability through functions in Python
- Manipulate data effectively using built-in data structures
- Get acquainted with advanced programming techniques in Python
- Equip yourself with functional and statistical programming features
- Write proper tests to be sure a program works as advertised
- Integrate application software using Python
Steven F. Lott has been programming since the 70s, when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large. Hes been using Python to solve business problems for over 10 years.
Hes currently leveraging Python to implement microservices and ETL pipelines. His other titles with Packt Publishing include Python Essentials, Mastering Object-Oriented Python, Functional Python Programming, and Python for Secret Agents.
Steven is currently a technomad who lives in various places on the east coast of the U.S. His technology blog is http://slott-softwarearchitect.blogspot.com and his LinkedIn address is https://www.linkedin.com/in/steven-lott-029835.
Table of Contents- Numbers, Strings, and Tuples
- Statements and Syntax
- Function Definitions
- Built-in Data Structures list, set, dict
- User Inputs and Outputs
- Basics of Classes and Objects
- More Advanced Class Design
- Functional and Reactive Programming Features
- Input/Output, Physical Format, and Logical Layout
- Statistical Programming and Linear Regression
- Testing
- Web Services
- Application Integration
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Copyright 2016 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: November 2016
Production reference: 1211116
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78646-925-0
www.packtpub.com
Author Steven F. Lott | Copy Editor Safis Editing |
Reviewers Sanjeev Kumar Jaiswal Dr. Vahid Mirjalili | Project Coordinator Suzanne Coutinho |
Commissioning Editor Kunal Parikh | Proofreader Safis Editing |
Acquisition Editor Sonali Vernekar | Indexer Tejal Daruwale Soni |
Content Development Editor Zeeyan Pinheiro | Graphics Kirk D'Penha |
Technical Editors Pratish Shetty Abhishek Sharma | Production Coordinator Aparna Bhagat |
Steven F. Lott has been programming since the 70s, when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large. He's been using Python to solve business problems for over 10 years.
Hes currently leveraging Python to implement microservices and ETL pipelines. His other titles with Packt Publishing include Python Essentials , Mastering Object-Oriented Python , Functional Python Programming , and Python for Secret Agents .
Steven is currently a technomad who lives in various places on the east coast of the U.S. His technology blog is http://slott-softwarearchitect.blogspot.com and his LinkedIn address is https://www.linkedin.com/in/steven-lott-029835 .
Sanjeev Jaiswal is a computer graduate with 7 years of industrial experience in web development and cyber security. He basically uses Perl, Python, and GNU/Linux for his day-to-day activities. He is currently working on projects involving penetration testing, source code review, and security design and implementations.
He is very much interested in web and cloud security. You can follow him on Twitter at @aliencoders and on GitHub at https://github.com/jassics .
He has written Instant PageSpeed Optimization and co-authored Learning Django Web Development for Packt Publishing. He has reviewed more than 5 books for Packt Publishing and looks forward to authoring or reviewing more books for Packt Publishing and other publishers.
Vahid Mirjalili is a software engineer and data scientist, currently working towards his PhD study in Computer Science at Michigan State University. His research at the i-PRoBE (integrated pattern recognition and biometrics) lab involves attribute classification of face images from large image datasets.
Furthermore, he teaches Python programming as well as computing concepts for data analysis and databases. Owing to his specialty in data mining, he is very interested in predictive modeling and getting insights from data. He is also a Python developer and likes to contribute to the open source community.
Moreover, he enjoys making tutorials for different directions of data science and computer algorithms, which can be found in his GitHub repository at http://github.com/mirjalil/DataScience .
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Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insights into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand.
This book takes a recipe-based approach, where each recipe addresses specific problems and issues.
, Numbers, Strings, and Tuples , will look at the different kinds of numbers, work with strings, use tuples, and use the essential built-in types in Python. We will also exploit the full power of the Unicode character set.
, Statements and Syntax , will cover some basics of creating script files first. Then well move on to looking at some of the complex statements, including if, while, for, try, with, and raise.
, Function Definitions , will look at a number of function definition techniques. Well also look at the Python 3.5 typing module and see how we can create more formal annotations for our functions.
, Built-in Data Structures list, set, dict , will look at an overview of the various structures that are available and what problems they solve. From there, we can look at lists, dictionaries, and sets in detail, and also look at some more advanced topics related to how Python handles references to objects.
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