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Python Programming An Introduction To Computer Science

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Python Programming

Python Programming Book
Author : John M. Zelle
Publisher : Franklin, Beedle & Associates, Inc.
Release : 2004
ISBN : 1887902996
File Size : 47,9 Mb
Language : En, Es, Fr and De

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Book 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

Python Programming Book
Author : John M. Zelle
Publisher : Unknown
Release : 2016-10
ISBN : 9781590282755
File Size : 22,6 Mb
Language : En, Es, Fr and De

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Book Summary :

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

Practical Programming

Practical Programming Book
Author : Paul Gries,Jennifer Campbell,Jason Montojo
Publisher : Pragmatic Bookshelf
Release : 2017-12-06
ISBN : 1680504126
File Size : 41,8 Mb
Language : En, Es, Fr and De

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Book 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

Explorations in Computing Book
Author : John S. Conery
Publisher : CRC Press
Release : 2014-09-24
ISBN : 1466572450
File Size : 22,7 Mb
Language : En, Es, Fr and De

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Book 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

Introduction to Computation and Programming Using Python  second edition Book
Author : John V. Guttag
Publisher : MIT Press
Release : 2016-08-12
ISBN : 0262529629
File Size : 47,8 Mb
Language : En, Es, Fr and De

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Book 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

Introduction to Scientific Programming with Python Book
Author : Joakim Sundnes
Publisher : Unknown
Release : 2020
ISBN : 3030503569
File Size : 48,7 Mb
Language : En, Es, Fr and De

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Book 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

Under One Condition  An Introduction to Computer Science Principles and Programming in Python Book
Author : Danielle K. Park
Publisher : Danielle K. Park
Release : 2021-04-01
ISBN : 0987650XXX
File Size : 43,5 Mb
Language : En, Es, Fr and De

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Book 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.

Introduction to Programming in Python

Introduction to Programming in Python Book
Author : Robert Sedgewick,Kevin Wayne,Robert Dondero
Publisher : Addison-Wesley Professional
Release : 2015-05-27
ISBN : 0134076524
File Size : 29,6 Mb
Language : En, Es, Fr and De

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Book Summary :

Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.