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Python Programming in Context

Author: Bradley N. Miller

Publisher: Jones & Bartlett Learning

Published: 2019-10-01

Total Pages: 516

ISBN-13: 1284175553

Python Programming in Context, Third Edition provides a comprehensive and accessible introduction to Python fundamentals. Updated with the latest version of Python, the new Third Edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Taking an active learning approach, each chapter starts with a comprehensive real-world project that teaches core design techniques and Python programming while engaging students. An ideal first language for learners entering the rapidly expanding field of computer science, Python gives students a solid platform of key problem-solving skills that translate easily across programming languages.

Python Programming in Context

Author: Bradley N. Miller

Publisher: Jones & Bartlett Publishers

Published: 2014

Total Pages: 523

ISBN-13: 1449691978

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"The user-friendly, object-oriented programming language Python is quickly becoming the most popular introductory programming language for both students and instructors ... Building on essential concepts of computer science and offering a plentitude of real-world examples, Python programming in context, Second edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. The text's emphasis on problem solving, extrapolation, and development of independent exploration and solution building provides students with a unique and innovative approach to learning programming." --

Python Programming in Context

Author: Julie Anderson

Publisher: Jones & Bartlett Learning

Published: 2024-04-15

Total Pages: 512

ISBN-13: 1284018598

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Python Programming in Context, Fourth Edition provides a comprehensive and accessible introduction to Python fundamentals. Updated with Python 3.10, the Fourth Edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Taking an active learning approach, each chapter starts with a comprehensive real-world project that teaches core design techniques and Python programming to immediately engage students. An ideal first language for learners entering the rapidly expanding fields of computer science, data science, and scientific programing, Python gives students a solid platform of key problem-solving skills that translate easily across programming languages. This text is designed to be a first course in computer science that focuses on problem-solving, with language features being introduced as needed to solve the problem at hand.

The Python Book

Author: Rob Mastrodomenico

Publisher: John Wiley & Sons

Published: 2022-01-13

Total Pages: 343

ISBN-13: 1119573289

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The Python Book Discover the power of one of the fastest growing programming languages in the world with this insightful new resource The Python Book delivers an essential introductory guide to learning Python for anyone who works with data but does not have experience in programming. The author, an experienced data scientist and Python programmer, shows readers how to use Python for data analysis, exploration, cleaning, and wrangling. Readers will learn what in the Python language is important for data analysis, and why. The Python Book offers readers a thorough and comprehensive introduction to Python that is both simple enough to be ideal for a novice programmer, yet robust to be useful for those more experienced in the language. The book assists budding programmers to gradually increase their skills as they move through the book, always with an understanding of what they are covering and why it is useful. Used by major companies like Google, Facebook, Instagram, Spotify, and more, Python promises to remain central to the programming landscape for years to come. Containing a thorough discussion of Python programming topics like variables, equalities and comparisons, tuple and dictionary data types, while and for loops, and if statements, readers will also learn: How to use highly useful Python programming libraries, including Pandas and Matplotlib How to write Python functions and classes How to write and use Python scripts To deal with different data types within Python Perfect for statisticians, computer scientists, software programmers, and practitioners working in private industry and medicine, The Python Book will also be of interest to students in any of the aforementioned fields. As it assumes no programming experience or knowledge, the book is ideal for those who work with data and want to learn to use Python to enhance their work.

Python Programming for Data Analysis

Author: José Unpingco

Publisher: Springer Nature

Published: 2021-05-04

Total Pages: 263

ISBN-13: 3030689522

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This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science. This book is ideal for readers with some Python programming experience. The book covers key language concepts that must be understood to program effectively, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data structures. Using Python effectively means taking advantage of its vast ecosystem. The book discusses Python package management and how to use third-party modules as well as how to structure your own Python modules. The section on object-oriented programming explains features of the language that facilitate common programming patterns. After developing the key Python language features, the book moves on to third-party modules that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array data structures and memory usage. Then, the author moves onto Pandas and details its many features for data processing and alignment. Because strong visualizations are important for communicating data analysis, key modules such as Matplotlib are developed in detail, along with web-based options such as Bokeh, Holoviews, Altair, and Plotly. The text is sprinkled with many tricks-of-the-trade that help avoid common pitfalls. The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis. To get the most out of this book, open a Python interpreter and type along with the many code samples.

Introduction to Computation and Programming Using Python, second edition

Author: John V. Guttag

Publisher: MIT Press

Published: 2016-08-12

Total Pages: 466

ISBN-13: 0262529629

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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. 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.

Python Programming in Context

Author: Bradley N. Miller

Publisher: Jones & Bartlett Publishers

Published: 2010-10-27

Total Pages: 520

ISBN-13: 1449660347

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A user-friendly, object-oriented language, Python is quickly becoming the favorite introductory programming language among students and instructors. Many find Python to be a more lucid language than Java but with much of the functionality and therefore the ideal first language for those entering the world of Computer Science. Python Programming in Context is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well rounded look of its capabilities.

Python

Author: Paul Jones

Publisher: Createspace Independent Publishing Platform

Published: 2016-10-26

Total Pages: 0

ISBN-13: 9781539530268

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Master Python Programming Today Fast And Easily!! UPDATED VERSION This book contains proven steps and strategies to learn the essentials of Python Programming. It highlights the important concepts that every beginner to intermediate programmer should know and presents relevant and practical examples. It aims to provide a solid foundation for people who want to start a career in Python Programming. This book is a must for programming enthusiasts or students who need to learn and understand Python easily, quickly, and methodically. A few advanced topics were added to satisfy long term python users. These topics may or may not be suitable for begginers depending on their situation. Here is a preview of what this book will offer: What is Python? What software you need to code and run Python programs? What are variables? What mathematical operators are there in Python? What are the common data types in Python? What are Lists and Tuples? How to format strings How to accept user inputs and display outputs How to make decisions with If statements How to control the flow of program with loops How to handle errors and exceptions What are functions and modules? How to define your own functions and modules How to work with external files The manipulation of various Python Programming Softwares Interactions between the user and computer using Python Method to develop your first software and beyond (including in-depth data manipulation) The future prospects of learning Python Advanced topics include: Object - Oriented Programming Regular Expressions Managing Parameters From The Command-Line Processing Comma-Separated Data Don't wait any longer, get your copy today!

Python Programming for Teens

Author: Kenneth A. Lambert

Publisher: Course Technology

Published: 2014-06-25

Total Pages: 0

ISBN-13: 9781305271951

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Provides information on how to program in Python, including program development, the basics of using classes and objects, 2-D geometry, fractals, animations, recursion, and problem solving.

Python Programming

Author: John M. Zelle

Publisher: Franklin, Beedle & Associates, Inc.

Published: 2004

Total Pages: 533

ISBN-13: 1887902996

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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.