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Conceptual Programming With Python
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Book Synopsis Conceptual Programming with Python by : Thorsten Altenkirch
Download or read book Conceptual Programming with Python written by Thorsten Altenkirch and published by Lulu.com. This book was released on 2020-04-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thorsten and Isaac have written this book based on a programming course we teach for Master's Students at the School of Computer Science of the University of Nottingham. The book is intended for students with little or no background in programming coming from different backgrounds educationally as well as culturally. It is not mainly a Python course but we use Python as a vehicle to teach basic programming concepts. Hence, the words conceptual programming in the title. We cover basic concepts about data structures, imperative programming, recursion and backtracking, object-oriented programming, functional programming, game development and some basics of data science.
Book Synopsis Programming Languages: Concepts and Implementation by : Saverio Perugini
Download or read book Programming Languages: Concepts and Implementation written by Saverio Perugini and published by Jones & Bartlett Learning. This book was released on 2021-12-02 with total page 889 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Languages: Concepts and Implementation teaches language concepts from two complementary perspectives: implementation and paradigms. It covers the implementation of concepts through the incremental construction of a progressive series of interpreters in Python, and Racket Scheme, for purposes of its combined simplicity and power, and assessing the differences in the resulting languages.
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 and published by MIT Press. This book was released on 2016-08-12 with total page 466 pages. 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.
Book Synopsis Introduction to Programming Concepts with Case Studies in Python by : Göktürk Üçoluk
Download or read book Introduction to Programming Concepts with Case Studies in Python written by Göktürk Üçoluk and published by Springer Science & Business Media. This book was released on 2012-10-29 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current text provides a clear introduction to Computer Science concepts in a programming environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts.
Book Synopsis Python Programming Fundamentals by : Kent D. Lee
Download or read book Python Programming Fundamentals written by Kent D. Lee and published by Springer. This book was released on 2015-01-07 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-follow and classroom-tested textbook guides the reader through the fundamentals of programming with Python, an accessible language which can be learned incrementally. Features: incudes numerous examples and practice exercises throughout the text, with additional exercises, solutions and review questions at the end of each chapter; highlights the patterns which frequently appear when writing programs, reinforcing the application of these patterns for problem-solving through practice exercises; introduces the use of a debugger tool to inspect a program, enabling students to discover for themselves how programs work and enhance their understanding; presents the Tkinter framework for building graphical user interface applications and event-driven programs; provides instructional videos and additional information for students, as well as support materials for instructors, at an associated website.
Book Synopsis Expert Python Programming by : Michał Jaworski
Download or read book Expert Python Programming written by Michał Jaworski and published by Packt Publishing Ltd. This book was released on 2019-04-30 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Refine your Python programming skills and build professional grade applications with this comprehensive guide Key FeaturesCreate manageable code that can run in various environments with different sets of dependenciesImplement effective Python data structures and algorithms to write optimized codeDiscover the exciting new features of Python 3.7Book Description Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.7. You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming. This book will also guide you through learning the best naming practices, writing your own distributable Python packages, and getting up to speed with automated ways of deploying your software on remote servers. You’ll discover how to create useful Python extensions with C, C++, Cython, and CFFI. Furthermore, studying about code management tools, writing clear documentation, and exploring test-driven development will help you write clean code. By the end of the book, you will have become an expert in writing efficient and maintainable Python code. What you will learnExplore modern ways of setting up repeatable and consistent development environmentsPackage Python code effectively for community and production useLearn modern syntax elements of Python programming such as f-strings, enums, and lambda functionsDemystify metaprogramming in Python with metaclassesWrite concurrent code in PythonExtend Python with code written in different languagesIntegrate Python with code written in different languagesWho this book is for This book will appeal to you if you’re a programmer looking to take your Python knowledge to the next level by writing efficient code and learning the latest features of version 3.7 and above.
Book Synopsis Introduction to Programming Concepts with Case Studies in Python by : Springer
Download or read book Introduction to Programming Concepts with Case Studies in Python written by Springer and published by . This book was released on 2012-10-30 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Professional Python by : Luke Sneeringer
Download or read book Professional Python written by Luke Sneeringer and published by John Wiley & Sons. This book was released on 2015-10-07 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the secret tools every Python programmer needs to know Professional Python goes beyond the basics to teach beginner- and intermediate-level Python programmers the little-known tools and constructs that build concise, maintainable code. Design better architecture and write easy-to-understand code using highly adoptable techniques that result in more robust and efficient applications. Coverage includes Decorators, Context Managers, Magic Methods, Class Factories, Metaclasses, Regular Expressions, and more, including advanced methods for unit testing using asyncio and CLI tools. Each topic includes an explanation of the concept and a discussion on applications, followed by hands-on tutorials based on real-world scenarios. The "Python 3 first" approach covers multiple current versions, while ensuring long-term relevance. Python offers many tools and techniques for writing better code, but often confusing documentation leaves many programmers in the dark about how to use them. This book shines a light on these incredibly useful methods, giving you clear guidance toward building stronger applications. Learn advanced Python functions, classes, and libraries Utilize better development and testing tools Understand the "what," "when," "why," and "how" More than just theory or a recipe-style walk-through, this guide helps you learn — and understand — these little-known tools and techniques. You'll streamline your workflow while improving the quality of your output, producing more robust applications with cleaner code and stronger architecture. If you're ready to take your Python skills to the next level, Professional Python is the invaluable guide that will get you there.
Book Synopsis Programming Concepts in Python by : Robert Burns
Download or read book Programming Concepts in Python written by Robert Burns and published by Xlibris Corporation. This book was released on 2015-06-19 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Concepts in Python is one in a series of books that introduce the basic concepts of computer programming, using a selected programming language. Other books in the series use languages like C++ and Java, but all focus on concepts and not on any particular language. The presentation of the material is the same in each language, and much of the text is identical. Code samples are specific to the selected language, and some unique language features are unavoidably included, but the presentation is largely language-independent. A unique feature of the book is that it explains how to acquire, install, and use freely available software to edit, compile, and run console programs on just about any system, including Windows and Mac. Its examples use command line compiling, so that the presentation remains focused on programming concepts and avoids becoming a training tool for a specific IDE. The three-part organization of material starts with the basics of sequential processing, then adds branching and looping logic and subprograms, and ends with arrays and objects. It turns a beginner with no programming experience into a programmer, prepared to continue their training in Python or just about any other specific programming language.
Book Synopsis Learn to Program with Python by : Irv Kalb
Download or read book Learn to Program with Python written by Irv Kalb and published by Apress. This book was released on 2016-08-22 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get started in the world of software development: go from zero knowledge of programming to comfortably writing small to medium-sized programs in Python. Programming can be intimidating (especially when most books on software require you to know and use obscure command line instructions) but it doesn’t have to be that way! In Learn to Program with Python, author Irv Kalb uses his in-person teaching experience to guide you through learning the Python computer programming language. He uses a conversational style to make you feel as though he is your personal tutor. All material is laid out in a thoughtful manner, each lesson building on previous ones. Many real–world analogies make the material easy to relate to. A wide variety of well-documented examples are provided. Along the way, you’ll develop small programs on your own through a series of coding challenges that reinforce the content of the chapters. What You Will Learn Learn fundamental programming concepts including: variables and assignment statements, functions, conditionals, loops, lists, strings, file input and output, Internet data, and data structures Get comfortable with the free IDLE Interactive Development Environment (IDE), which you will use to write and debug all your Python code - no need to use the command line! Build text-based programs, including a number of simple games Learn how to re-use code by building your own modules Use Python's built-in data structures and packages to represent and make use of complex data from the Internet Who This Book Is For This book assumes that you have absolutely no prior knowledge about programming. There is no need to learn or use any obscure Unix commands. Students of any age who have had no exposure to programming and are interested in learning to do software development in the Python language. The book can be used as a text book associated with a high school or college introduction to computer science course. Secondly, people who have had exposure to some computer language other than Python, who would like to build good habits for programming in Python.
Book Synopsis Programming in Python 3 by : Mark Summerfield
Download or read book Programming in Python 3 written by Mark Summerfield and published by Pearson Education. This book was released on 2008-12-16 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python 3 is the best version of the language yet: It is more powerful, convenient, consistent, and expressive than ever before. Now, leading Python programmer Mark Summerfield demonstrates how to write code that takes full advantage of Python 3’s features and idioms. The first book written from a completely “Python 3” viewpoint, Programming in Python 3 brings together all the knowledge you need to write any program, use any standard or third-party Python 3 library, and create new library modules of your own. Summerfield draws on his many years of Python experience to share deep insights into Python 3 development you won’t find anywhere else. He begins by illuminating Python’s “beautiful heart”: the eight key elements of Python you need to write robust, high-performance programs. Building on these core elements, he introduces new topics designed to strengthen your practical expertise—one concept and hands-on example at a time. This book’s coverage includes Developing in Python using procedural, object-oriented, and functional programming paradigms Creating custom packages and modules Writing and reading binary, text, and XML files, including optional compression, random access, and text and XML parsing Leveraging advanced data types, collections, control structures, and functions Spreading program workloads across multiple processes and threads Programming SQL databases and key-value DBM files Utilizing Python’s regular expression mini-language and module Building usable, efficient, GUI-based applications Advanced programming techniques, including generators, function and class decorators, context managers, descriptors, abstract base classes, metaclasses, and more Programming in Python 3 serves as both tutorial and language reference, and it is accompanied by extensive downloadable example code—all of it tested with the final version of Python 3 on Windows, Linux, and Mac OS X.
Download or read book Think Python written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2012-08-09 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language one step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies
Book Synopsis Expert Python Programming by : Michał Jaworski
Download or read book Expert Python Programming written by Michał Jaworski and published by Packt Publishing Ltd. This book was released on 2021-05-28 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain a deep understanding of building, maintaining, packaging, and shipping robust Python applications Key FeaturesDiscover the new features of Python, such as dictionary merge, the zoneinfo module, and structural pattern matchingCreate manageable code to run in various environments with different sets of dependenciesImplement effective Python data structures and algorithms to write, test, and optimize codeBook Description This new edition of Expert Python Programming provides you with a thorough understanding of the process of building and maintaining Python apps. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition has been extensively updated. Throughout this book, you’ll get acquainted with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. The initial few chapters will allow experienced programmers coming from different languages to transition to the Python ecosystem. You will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes live, including packaging and testing automation. By the end of this book, you will have gained actionable Python programming insights that will help you effectively solve challenging problems. What you will learnExplore modern ways of setting up repeatable and consistent Python development environmentsEffectively package Python code for community and production useLearn modern syntax elements of Python programming, such as f-strings, enums, and lambda functionsDemystify metaprogramming in Python with metaclassesWrite concurrent code in PythonExtend and integrate Python with code written in C and C++Who this book is for The Python programming book is intended for expert programmers who want to learn Python’s advanced-level concepts and latest features. Anyone who has basic Python skills should be able to follow the content of the book, although it might require some additional effort from less experienced programmers. It should also be a good introduction to Python 3.9 for those who are still a bit behind and continue to use other older versions.
Book Synopsis Python Crash Course, 3rd Edition by : Eric Matthes
Download or read book Python Crash Course, 3rd Edition written by Eric Matthes and published by No Starch Press. This book was released on 2023-01-10 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date! Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time. You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online. As you work through the book, you’ll learn how to: Use powerful Python libraries and tools, including pytest, Pygame, Matplotlib, Plotly, and Django Make increasingly complex 2D games that respond to keypresses and mouse clicks Generate interactive data visualizations using a variety of datasets Build apps that allow users to create accounts and manage their own data, and deploy your apps online Troubleshoot coding errors and solve common programming problems New to this edition: This third edition is completely revised to reflect the latest in Python code. New and updated coverage includes VS Code for text editing, the pathlib module for file handling, pytest for testing your code, as well as the latest features of Matplotlib, Plotly, and Django. If you’ve been thinking about digging into programming, Python Crash Course will provide you with the skills to write real programs fast. Why wait any longer? Start your engines and code! Covers Python 3.x
Book Synopsis HT THINK LIKE A COMPUTER SCIEN by : Jeffrey Elkner
Download or read book HT THINK LIKE A COMPUTER SCIEN written by Jeffrey Elkner and published by Samurai Media Limited. This book was released on 2016-10-04 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer.
Book Synopsis Learning Scientific Programming with Python by : Christian Hill
Download or read book Learning Scientific Programming with Python written by Christian Hill and published by Cambridge University Press. This book was released on 2020-11-12 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.
Book Synopsis Introduction to Scientific Programming with Python by : Joakim Sundnes
Download or read book Introduction to Scientific Programming with Python written by Joakim Sundnes and published by . This book was released on 2020 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
