Share

Python for Everybody

2016-04-09
Download Python for Everybody PDF Online Free

Author :
Release : 2016-04-09
Genre :
Kind : eBook
Book Rating : 120/5 ( reviews)

GET EBOOK


Book Synopsis Python for Everybody by : Charles R. Severance

Download or read book Python for Everybody written by Charles R. Severance. This book was released on 2016-04-09. Available in PDF, EPUB and Kindle. Book excerpt: Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.

Python for Informatics

2013 Information storage and retrieval systems
Download Python for Informatics PDF Online Free

Author :
Release : 2013
Genre : Information storage and retrieval systems
Kind : eBook
Book Rating : 243/5 ( reviews)

GET EBOOK


Book Synopsis Python for Informatics by : Charles Severance

Download or read book Python for Informatics written by Charles Severance. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language that is freely available on Windows, Macintosh, and Linux computers. There are free downloadable copies of this book in various electronic formats and a self-paced free online course where you can explore the course materials. All the supporting materials for the book are available under open and remixable licenses at the www.py4inf.com web site. This book is designed to teach people to program even if they have no prior experience. This book covers Python 2. An updated version of this book that covers Python 3 is available and is titled, "Python for Everybody: Exploring Data in Python 3".

How To Code in Python 3

2018-02-01 Computers
Download How To Code in Python 3 PDF Online Free

Author :
Release : 2018-02-01
Genre : Computers
Kind : eBook
Book Rating : 003/5 ( reviews)

GET EBOOK


Book Synopsis How To Code in Python 3 by : Lisa Tagliaferri

Download or read book How To Code in Python 3 written by Lisa Tagliaferri. This book was released on 2018-02-01. Available in PDF, EPUB and Kindle. Book excerpt: This educational book introduces emerging developers to computer programming through the Python software development language, and serves as a reference book for experienced developers looking to learn a new language or re-familiarize themselves with computational logic and syntax.

Non-Programmers Tutorial For Python 2 and 3

2018-04-19 Computers
Download Non-Programmers Tutorial For Python 2 and 3 PDF Online Free

Author :
Release : 2018-04-19
Genre : Computers
Kind : eBook
Book Rating : 199/5 ( reviews)

GET EBOOK


Book Synopsis Non-Programmers Tutorial For Python 2 and 3 by : Josh Cogliati

Download or read book Non-Programmers Tutorial For Python 2 and 3 written by Josh Cogliati. This book was released on 2018-04-19. Available in PDF, EPUB and Kindle. Book excerpt: This book is a tutorial for the Python 2 and 3 programming language designed for someone with no programming experience. All the examples work in Python 2.6 and Python 3.

Introduction to Computation and Programming Using Python, second edition

2016-08-12 Computers
Download Introduction to Computation and Programming Using Python, second edition PDF Online Free

Author :
Release : 2016-08-12
Genre : Computers
Kind : eBook
Book Rating : 629/5 ( reviews)

GET EBOOK


Book Synopsis Introduction to Computation and Programming Using Python, second edition by : John V. Guttag

Download or read book Introduction to Computation and Programming Using Python, second edition written by John V. Guttag. This book was released on 2016-08-12. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.

You may also like...