Books On How to Program and Learn Python

  Books On How to Program and Learn Python

Books in list (15)

Title: Python for Data Analysis

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries youíll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. Itís ideal for analysts new to Python and for Python programmers new to scientific computing.

  • Use the IPython interactive shell as your primary development environment
  • Learn basic and advanced NumPy (Numerical Python) features
  • Get started with data analysis tools in the pandas library
  • Use high-performance tools to load, clean, transform, merge, and reshape data
  • Create scatter plots and static or interactive visualizations with matplotlib
  • Apply the pandas groupby facility to slice, dice, and summarize datasets
  • Measure data by points in time, whether itís specific instances, fixed periods, or intervals
  • Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples
Author(s): Wes McKinney
ISBN 13: 9781449319793
Pages: 472
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Title: Python Machine Learning

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics. If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning Ė whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data Ė its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Pylearn2, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
Author(s): Sebastian Raschka
ISBN 13: 9781783555130
Pages: 454
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Title: Programming Python

If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Pythonís many roles in practical, real-world programming.

You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms. Completely updated for version 3.x, Programming Python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose.

Topics include:

  • Quick Python tour: Build a simple demo that includes data representation, object-oriented programming, object persistence, GUIs, and website basics
  • System programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and more
  • GUI programming: Learn to use Pythonís tkinter widget library
  • Internet programming: Access client-side network protocols and email tools, use CGI scripts, and learn website implementation techniques
  • More ways to apply Python: Implement data structures, parse text-based information, interface with databases, and extend and embed Python
Author(s): Mark Lutz
ISBN 13: 9780596158101
Pages: 1584
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Title: Python: The Ultimate Beginner's Guide!

2nd Edition - Revised, Improved and New Content! Python: The Ultimate Beginnerís Guide provides all essential programming concepts and information you need to start developing your own Python program. The book provides a comprehensive walk-through of Python programming in a clear, straightforward manner that beginners will appreciate. Important concepts are introduced through a step-by-step discussion and reinforced by relevant examples and illustrations. You can use this book as a guide to help you explore, harness, and gain appreciation of the capabilities and features of Python.
Author(s): Andrew Johansen
ISBN 13: 9781530918157
Pages: 134
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Title: Fluent Python

This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age ...
Author(s): Luciano Ramalho
ISBN 13: 9781491946008
Pages: 770
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Title: High Performance Python

Author(s): Micha Gorelick
ISBN 13: 9781449361594
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Title: Python Crash Course

In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic.
Author(s): Eric Matthes
ISBN 13: 9781593276034
Pages: 560
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Title: Mastering Python

Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers About This Book Become familiar with the most important and advanced parts of the Python code style Learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language Offers an expert's-eye overview of how these advanced tasks fit together in Python as a whole along with practical examples Who This Book Is For Almost anyone can learn to write working script and create high quality code but they might lack a structured understanding of what it means to be 'Pythonic'. If you are a Python programmer who wants to code efficiently by getting the syntax and usage of a few intricate Python techniques exactly right, this book is for you. What You Will Learn Create a virtualenv and start a new project Understand how and when to use the functional programming paradigm Get familiar with the different ways the decorators can be written in Understand the power of generators and coroutines without digressing into lambda calculus Create metaclasses and how it makes working with Python far easier Generate HTML documentation out of documents and code using Sphinx Learn how to track and optimize application performance, both memory and cpu Use the multiprocessing library, not just locally but also across multiple machines Get a basic understanding of packaging and creating your own libraries/applications In Detail Python is a dynamic programming language. It is known for its high readability and hence it is often the first language learned by new programmers. Python being multi-paradigm, it can be used to achieve the same thing in different ways and it is compatible across different platforms. Even if you find writing Python code easy, writing code that is efficient, easy to maintain, and reuse is not so straightforward. This book is an authoritative guide that will help you learn new advanced methods in a clear and contextualised way. It starts off by creating a project-specific environment using venv, introducing you to different Pythonic syntax and common pitfalls before moving on to cover the functional features in Python. It covers how to create different decorators, generators, and metaclasses. It also introduces you to functools.wraps and coroutines and how they work. Later on you will learn to use asyncio module for asynchronous clients and servers. You will also get familiar with different testing systems such as py.test, doctest, and unittest, and debugging tools such as Python debugger and faulthandler. You will learn to optimize application performance so that it works efficiently across multiple machines and Python versions. Finally, it will teach you how to access C functions with a simple Python call. By the end of the book, you will be able to write more advanced scripts and take on bigger challenges. Style and Approach This book is a comprehensive guide that covers advanced features of the Python language, and communicate them with an authoritative understanding of the underlying rationale for how, when, and why to use them.
Author(s): Rick van Hattem
ISBN 13: 9781785289729
Pages: 486
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Title: Learn Python in One Day and Learn It Well

How to control the flow of program with loopsHow to handle errors and exceptionsWhat are functions and modules?How to define your own functions and modulesHow to work with external files.. and more.
Author(s): Jamie Chan
ISBN 13: 9781506094380
Pages: 124
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Title: Python Pocket Reference

Updated for both Python 3.4 and 2.7, this guide provides concise information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools.
Author(s): Mark Lutz
ISBN 13: 9781449357016
Pages: 254
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Title: Learning Python

Python is a popular open source, object-oriented programming language used for both standalone programs and scripting applications. Portable, powerful, and a breeze to use, there's no quicker way to master the language than to learn from expert teachers. This new edition of Learning Python puts you in the hands of Mark Lutz and David Ascher, two notable Python experts and trainers whose friendly, well-structured prose has guided many programmers to proficiency in the language. Learning Python, Second Edition offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language changes since the release of the first edition in 1999, this book introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators.

Beyond language features, this edition of Learning Python also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. Learning Python starts by giving programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules, and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. There are exercises throughout the book to test your new skills. Learning Python, Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to develop larger applications on your own. This book is for anyone who doesn't want to stop at just learning Python, but wants to master it as well.

Author(s): Mark Lutz
ISBN 13: 9781449355739
Pages: 1562
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