• Complain

Romano Fabrizio - Getting Started with Python: Understand key data structures and use Python in object-oriented programming

Here you can read online Romano Fabrizio - Getting Started with Python: Understand key data structures and use Python in object-oriented programming full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2019, publisher: Packt Publishing, genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

No cover

Getting Started with Python: Understand key data structures and use Python in object-oriented programming: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Getting Started with Python: Understand key data structures and use Python in object-oriented programming" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

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 and not-so-object-oriented aspects of Python, and create maintainable applications using higher level design patterns. Once youve covered 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
What you will learn

  • Use data structures and control flow to write code

  • Use functions to bundle together a sequence of instructions

  • Implement objects in Python by creating classes and defining methods

  • Design public interfaces using abstraction, encapsulation and information hiding

  • Raise, define, and manipulate exceptions using special error objects

  • Create bulletproof and reliable software by writing unit tests

  • Learn the common programming patterns and algorithms used in Python

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.

Table of Contents

  1. A Gentle Introduction to Python

  2. Built-in Data Types

  3. Iterating and Making Decisions

  4. Functions, the Building Blocks of Code

  5. Saving Time and Memory

  6. Files and Data Persistence

  7. Principles of Algorithm Design

  8. Lists and Pointer Structures

  9. Stacks and Queues

  10. Trees

  11. Hashing and Symbol Tables

  12. Graphs and Other Algorithms

  13. Searching

  14. Sorting

  15. Selection Algorithms

  16. Design Techniques and Strategies

  17. Object-Oriented Design

  18. Objects in Python

  19. When Objects Are Alike

  20. Expecting the Unexpected

  21. When to Use Object-Oriented Programming

  22. Python Object-Oriented Shortcuts

  23. Strings and Serialization

  24. The Iterator Pattern

  25. Python Design Patterns I

  26. Python Design Patterns II

  27. Testing Object-Oriented Programs

Romano Fabrizio: author's other books


Who wrote Getting Started with Python: Understand key data structures and use Python in object-oriented programming? Find out the surname, the name of the author of the book and a list of all author's works by series.

Getting Started with Python: Understand key data structures and use Python in object-oriented programming — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Getting Started with Python: Understand key data structures and use Python in object-oriented programming" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
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

maptio Mapt is an online digital library that gives you full access to over - photo 3
mapt.io

Mapt is an online digital library that gives you full access to over 5,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career. For more information, please visit our website.

Why subscribe?
  • Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals

  • Improve your learning with Skill Plans built especially for you

  • Get a free eBook or video every month

  • Mapt is fully searchable

  • Copy and paste, print, and bookmark content

Packt.com

Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.packt.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at customercare@packtpub.com for more details.

At www.packt.com , you can also read a collection of free technical articles, sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks.

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

If you're interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.

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.

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Getting Started with Python: Understand key data structures and use Python in object-oriented programming»

Look at similar books to Getting Started with Python: Understand key data structures and use Python in object-oriented programming. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Getting Started with Python: Understand key data structures and use Python in object-oriented programming»

Discussion, reviews of the book Getting Started with Python: Understand key data structures and use Python in object-oriented programming and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.