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Fabrizio Romano - Getting Started with Python

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Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information

Key Features

  • Turn your designs into working software by learning the Python syntax
    • Write robust code with a solid understanding of Python data structures
    • Understand when to use the functional or the OOP approach

      Book Description

      This Learning Path helps you get comfortable with the world of Python. It starts with a thorough and practical introduction to Python. Youll quickly start writing programs, building websites, and working with data by harnessing Pythons renowned data science libraries. With the power of linked lists, binary searches, and sorting algorithms, youll easily create complex data structures, such as graphs, stacks, and queues. After understanding cooperative inheritance, youll expertly raise, handle, and manipulate exceptions. You will effortlessly integrate the object-oriented...

  • Fabrizio Romano: author's other books


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    Getting Started with Python Understand key data structures and use Python in - photo 1
    Getting Started with Python
    Understand key data structures and use Python in
    object-oriented programming
    Fabrizio Romano
    Benjamin Baka
    Dusty Phillips

    BIRMINGHAM - MUMBAI Getting Started with Python Copyright 2019 Packt - photo 2

    BIRMINGHAM - MUMBAI
    Getting Started with Python

    Copyright 2019 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 authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been 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: February 2019


    Production reference: 1270219

    Published by Packt Publishing Ltd.
    Livery Place
    35 Livery Street
    Birmingham
    B3 2PB, UK.

    ISBN 978-1-83855-191-9

    www.packtpub.com

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    Contributors
    About the authors

    Fabrizio Romano holds a master's degree in computer science engineering from the University of Padova. He is also a certified scrum master, Reiki master and teacher, and a member of CNHC. He moved to London in 2011 to work for companies, such as Glasses Direct and TBG/Sprinklr. He now works at Sohonet as a principal engineer/team lead. He has given talks on Teaching Python and TDD at two editions of EuroPython, and at Skillsmatter and ProgSCon in London.

    Benjamin Baka works as a software developer and considers himself to be language agnostic and seeks out the elegant solutions which his toolset of C, Java, Python, Ruby, and other languages can enable him to accomplish. With a huge interest in algorithms, he seeks to always write code that borrows from Dr. Knuth's words, both simple and elegant. He also enjoys playing the bass guitar and listening to silence. He currently works with mPedigree Network.

    Dusty Phillips is a software developer and author currently living in New Brunswick. He has been active in the open source community for two decades and has been programming in Python for nearly as long. He holds a master's degree in computer science and has worked for Facebook, the United Nations, and several start-ups. He's currently researching privacy-preserving technology at beanstalk.network. Python 3 Object-Oriented Programming is his first book. He has also written Creating Apps in Kivy, and self-published Hacking Happy, a journey to mental wellness for the technically inclined. A work of fiction is coming as well, so stay tuned!

    Packt is searching for authors like you

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    Preface

    This learning path helps you get comfortable in the world of Python. It starts with a thorough and practical introduction to Python. You'll quickly start writing programs in the first part of the learning path. With the power of linked lists, binary searches, and sorting algorithms, you'll easily create complex data structures, such as graphs, stacks, and queues. After understanding cooperative inheritance, you'll expertly raise, handle, and manipulate exceptions. You will effortlessly integrate the object-oriented and not-so-object-oriented aspects of Python, and create maintainable applications using higher level design patterns. Once you've covered the core topics, youll understand the joy of unit testing and just how easy it is to create unit tests.

    By the end of this learning path, you will have built components that are easy to understand, debug, and can be used across different applications.

    This learning path includes content from the following Packt products:

    • Learn Python Programming - Second Edition by Fabrizio Romano
    • Python Data Structures and Algorithms by Benjamin Baka
    • Python 3 Object-Oriented Programming by Dusty Phillips
    Who this book is for

    If you are relatively new to coding and want to write scripts or programs to accomplish tasks using Python, or if you are an object-oriented programmer for other languages and seeking a leg up in the world of Python, then this learning path is for you. Though not essential, it will help you to have basic knowledge of programming and OOP.

    What this book covers

    , A Gentle Introduction to Python, introduces you to fundamental programming concepts. It guides you through getting Python up and running on your computer and introduces you to some of its constructs.

    , Built-in Data Types, introduces you to Python built-in data types. Python has a very rich set of native data types, and this chapter will give you a description and a short example for each of them.

    , Iterating and Making Decisions, teaches you how to control the flow of your code by inspecting conditions, applying logic, and performing loops.

    , Functions, the Building Blocks of Code, teaches you how to write functions. Functions are the keys to reusing code, to reducing debugging time, and, in general, to writing better code.

    , Files and Data Persistence, teaches you how to deal with files, streams, data interchange formats, and databases, among other things.

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