Introduction to computation and programming using python 2nd pdf

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introduction to computation and programming using python 2nd pdf

Introduction to Computer Science and Programming | Eliademy

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Introduction to Computation and Programming Using Python

Introduction to Computation and Programming Using Python: With Application to Understanding Data

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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. 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.

Log in. 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. 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.

While we still refer to this text, we have become less enamored with it over the years. It presents material in a fundamentally different order than we do in this course, and it is really only good as a supplementary reference. Instead of requiring a textbook that you will never use, we recommend that you get the PDF or eBook, which is available free online. You can download it from Green Tree Press. If you absolutely need a paper copy, you can buy one from Amazon. This course will use iClickers in many lectures. In fact, everyone who registers in this course is expected to have an iClicker and to bring it to class every day.

2 COMMENTS

  1. Ohinovto says:

    CS Course Materials

  2. América P. says:

    It aims to provide students with an understanding of the role computation can play in solving problems.

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