**Python Programming An Introduction To Computer Science**

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## Python Programming

- Author : John M. Zelle
- Publisher : Unknown
- Release Date : 2004
- Total pages : 517
- ISBN : 9781887902991
- File Size : 46,9 Mb
- Total Download : 134

**Summary :** This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.

## Python Programming

- Author : John M. Zelle
- Publisher : Unknown
- Release Date : 2016-10
- Total pages : 229
- ISBN : 1590282752
- File Size : 32,8 Mb
- Total Download : 164

**Summary :** "This book serves as an introduction to computer programming using the Python programming language"--

## Practical Programming

- Author : Paul Gries,Jennifer Campbell,Jason Montojo
- Publisher : Unknown
- Release Date : 2017-12-06
- Total pages : 412
- ISBN : 9781680504125
- File Size : 49,6 Mb
- Total Download : 646

**Summary :** Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.

## Explorations in Computing

- Author : John S. Conery
- Publisher : Unknown
- Release Date : 2014-09-24
- Total pages : 439
- ISBN : 9781466572454
- File Size : 9,8 Mb
- Total Download : 608

**Summary :** An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. Tbook gives beginning students an introduction to

## Introduction to Computation and Programming Using Python, second edition

- Author : John V. Guttag
- Publisher : Unknown
- Release Date : 2016-08-12
- Total pages : 466
- ISBN : 9780262529624
- File Size : 27,8 Mb
- Total Download : 980

**Summary :** 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.

## Introduction to Scientific Programming with Python

- Author : Joakim Sundnes
- Publisher : Unknown
- Release Date : 2020
- Total pages : 157
- ISBN : 9783030503567
- File Size : 38,5 Mb
- Total Download : 922

**Summary :** This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.

## Under One Condition: An Introduction to Computer Science Principles and Programming in Python

- Author : Danielle K. Park
- Publisher : Unknown
- Release Date : 2021-04-01
- Total pages : 35
- ISBN : 9798730962293
- File Size : 26,7 Mb
- Total Download : 728

**Summary :** Under One Condition: An Introduction to Computer Science Principles and Programming in Python is designed for curious middle school and building high school students. This book covers topics including design and development, computing errors, abstraction, mutability, computer networks, safe computing, and the many aspects of data.

## Practical Programming

- Author : Paul Gries,Jennifer Campbell,Jason Montojo
- Publisher : Unknown
- Release Date : 2016-03-08
- Total pages : 388
- ISBN : 1530427452
- File Size : 24,8 Mb
- Total Download : 204

**Summary :** This book is for anyone who wants to understand computer programming. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. You'll code along with the book, writing programs to solve real-world problems as you learn the fundamentals of programming using Python 3. You'll learn about design, algorithms, testing, and debugging, and come away with all the tools you need to produce quality code. In this second edition, we've updated almost all the material, incorporating the lessons we've learned over the past five years of teaching Python to people new to programming. You don't need any programming experience to get started. First, you'll get a detailed introduction to Python and to programming. You'll find out exactly what happens when your programs are executed. Through real-world examples, you'll learn how to work with numbers, text, big data sets, and files. Then you'll see how to create and use your own data types. The incremental examples show you the steps and missteps that happen while developing programs, so you know what to expect when you tackle a problem on your own. Inspired by "How to Design Programs" (HtDP), you'll learn a six-step recipe for designing functions, which helps you as you start to learn the concepts--and becomes an integral part of writing programs by the end. As you learn to use the fundamental programming tools in the first half of the book, you'll see how to document and organize your code so that you and other programmers can more easily read and understand it. Beyond the basics, you'll learn how to ensure that your programs are reliable, and how to work with databases, download data from the web automatically, and build user interfaces. Most importantly, you'll learn how to think like a professional programmer. You'll need to download Python 3, available from "python.org." With that download comes IDLE, the editor we use for writing and running Python programs. (If you use Linux, you may need to installPython 3 and IDLE separately.)