Search results for "introduction to python programming"
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Introduction to Data Systems
Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form.The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the “data-aptitude” built by the material in this book.
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Introduction to Programming with Modula-2
This book is intended for the novice as well as for the experienced programmer who wants to learn Modula-2. We do not limit ourselves to just a description of Modula-2. Instead, we seek to familiarize the reader with the concept of algorithms and to show him/her how to implement algorithms in Modula-2. The programming language Modula-2 was developed by Niklaus Wirth (also the father of world-famous Pascal) and made public in 1978. Compared to other programming languages such as Ada, COBOL or PL/!, Modula-2 is a compact language, which makes it easy to learn. Nevertheless, Modula-2 contains all important language elements necessary for formulating complicated algorithms and for implementing the modern concepts of software engineering. Modula-2 is distinguished by a systematic structure that makes it possible to write easily readable programs. The language supports many of the principles of modern software engineering. All this makes Modula-2 a useful instrument for an introduction to the basics of programming. This textbook strives to establish a solid foundation in the techniques of programming with up-to-date methods of program development. Use of the programming language Modula-2 is reinforced with numerous hands-on exercises. This book does not presuppose any knowledge of programming, but it does require a certain ability in the realm of abstract thinking, some pleasure in problem solving, and a desire to come to terms with complex interrelationships.
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Introduction to Programming in Prolog
This book is an introduction to Prolog (£rQgramming in ~ic). It presents the basic foundations of Prolog and basic and fundamental programming methods. This book is written for programmers familiar with other programming languages, as well as for novices in computer science, willing to have an original introduction to programming. The approach adopted in this book is thus based on methodological elements together with some pragmatic aspects. The book is composed of two parts. In the fIrst part the major aspects of programming in Prolog are presented step by step. Each new aspect is illustrated by short examples and exercises. The second part is composed of more developed examples, which are often games, that illustrate major aspects of artifIcial intelligence. More advanced books are given in the bibliography and will allow the reader to deepen his or her know ledge of Prolog. Prolog was first designed in France at OJ.A., Marseille, with a specific syntax. We have adopted here a more common notation, defIned at Edinburgh, which tends to be an implicit norm. At the end of each chapter of the fIrst part, there are exercises that the reader is invited to do and to test on his or her machine. Complete answers are given in Appendix A, at the end of the book.
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Object-Oriented Approach to Problem Solving and Machine Learning with Python
This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.Start by solidifying your OOP foundation with clear explanations of core concepts such as use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.This book doesn’t stop at the basics. Explore how OOP empowers fields such as data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.Each chapter is designed for hands-on learning. You’ll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.
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Introduction to Programming in Java
Programming skills are indispensable in today’s world, not just for computer science students, but also for anyone in any scientific or technical discipline. An Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages. This example-driven guide focuses on Java’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 soundFunctions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reusedAlgorithms and data structures: sort/search algorithms, stacks, queues, and symbol tablesApplications from applied math, physics, chemistry, biology, and computer science Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative engagement with the material throughout. Together with the companion materials, this book empowers people pursue a modern approach to teaching and learning programming. Companion web site contains Chapter summariesSupplementary exercises, some with solutionsDetailed instructions for installing a Java programming environmentProgram code and test data suitable for easy downloadDetailed creative exercises, projects, and other supplementary mat And companion studio-produced online videos provide students and professionals with the opportunity to engage with the material at their own pace and instructors the opportunity to spend their time with students helping them to succeed on assignments and exams.
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Programming Google App Engine with Python
This practical guide shows intermediate and advanced web and mobile app developers how to build highly scalable Python applications in the cloud with Google App Engine. The flagship of Google's Cloud Platform, App Engine hosts your app on infrastructure that grows automatically with your traffic, minimizing up-front costs and accommodating unexpected visitors. You'll learn hands-on how to perform common development tasks with App Engine services and development tools, including deployment and maintenance. App Engine's Python support includes a fast Python 2.7 interpreter, the standard library, and a WSGI-based runtime environment. Choose from many popular web application frameworks, including Django and Flask.Get a hands-on introduction to App Engine's tools and features, using an example application Simulate App Engine on your development machine with tools from Google Cloud SDK Structure your app into individually addressable modules, each with its own scaling configuration Exploit the power of the scalable Cloud Datastore, using queries, transactions, and data modeling with the ndb library Use Cloud SQL for standard relational databases with App Engine applications Learn how to deploy, manage, and inspect your application on Google infrastructure
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Introduction to Scientific Computing with MATLAB® and Python Tutorials
This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes the connection between elementary numerical methods with advanced topics such as machine learning and parallel computing.This textbook gives a comprehensive and in-depth treatment of elementary numerical methods. It balances the development, implementation, analysis and application of a fundamental numerical method by addressing the following questions.•Where is the method applied?•How is the method developed?•How is the method implemented?•How well does the method work?The material in the textbook is made as self-contained and easy-to-follow as possible with reviews and remarks. The writing is kept concise and precise. Examples, figures, paper-and-pen exercises and programming problems are deigned to reinforce understanding of numerical methods and problem-solving skills.
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Python Programming and Numerical Methods
Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings.
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Fun Python GUI Projects in easy steps
Fun Python GUI Projects in easy steps contains mostly outrageous projects and a few sensible ones. Get ready to embark on a thrilling adventure into the world of graphical user interfaces (GUIs) with guizero – an easy way to build GUIs with Python code. If you've ever wanted to add a splash of interactivity and charm to your Python projects, this is the book for you! Learn how to code fun apps and programs – in easy steps!The first chapter of Fun Python GUI Projects in easy steps gently introduces you to the world of GUI programming, explaining concepts in simple terms so that you'll never feel lost or overwhelmed. Once you've got the hang of the basics, it's time to start building and combining features. The book shows you how to code and use all sorts of fun GUI elements – buttons that trigger actions, text boxes for inputting data, labels to display information, and more. With guizero's intuitive syntax and easy-to-use functions, you'll be amazed at how quickly you can bring the projects and your ideas to life.Ever wanted to prank your friends with a virtual whoopee cushion? This book shows you how to create a hilarious application that emits fart sounds at the click of a button. If you’re curious about your compatibility with your crush, you'll learn how to create a fun calculator that predicts your compatibility with another person based on a set of quirky questions. Who knows, you might just uncover a surprising match! Have you ever wondered if you could outrun your favorite superhero? In this book you'll learn how to build a game that challenges players to react faster than iconic superheroes. It's a thrilling test of speed and reflexes! As you progress through Fun Python GUI Projects in easy steps, we'll delve deeper into the world of GUI design, exploring topics like mouse interaction, drawing, layout, and styling. You'll learn how to arrange your GUI elements in visually pleasing ways so that your applications not only work great but look awesome too. Most of this book’s projects use the Microsoft Windows platform. However, Python and guizero are both compatible with Linux and Apple computers. Before you begin, you will need install the compatible versions of Python and guizero. Comprehensive guides on installation and setup are included in the book. Let’s code and have fun! For kids and young adults aged 11+
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Introduction to Generative AI with Julia and Python
Elevate your coding capabilities and gain the skills necessary for maximized performance and career opportunities in the field of Artificial Intelligence. This book is a step-by-step guide designed to equip software engineers with solid foundation of Generative AI basics. The book begins by introducing Generative AI using Google Colab to establish a solid foundation, before demonstrating how to leverage Python and Julia's AI capabilities to construct Artificial Neural Networks. You'll then explore advanced AI models, such as variational autoencoders, in order to generative images and text. Author Pierluigi Riti not only navigates the complexities of this emerging topic but fills a crucial gap by guiding software engineers through theory before leading them to produce different types of models using only free resources. What You Will Learn Acquire a solid foundation of Generative AI basics.Utilize the capabilities of Python and Julia to constructure Artificial Neural NetworksExplore advanced AI models including variational autoencoders, to generate images Survey different architectures for AI and utilize free resources to produce different AI Who This Book Is For Programmers new to artificial intelligence, but with a fundamental grasp of Python.
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Introduction to Programming Using Processing
Written in an informal, conversational, and humorous style, Introduction to Programming Using Processing makes learning programming a fun experience. It is almost certainly the only programming textbook in the world with references to Jurassic Park, NCIS, Chuck Norris, and Gamera! The freely-available Processing language is ideal for a first course in programming. The simple-to-access graphics and multimedia capabilities of the language let students develop eye-catching, animated programs, instead of traditional programs that print text to the console. Introduction to Programming Using Processing takes a "classes-later" approach, focusing on basics, using objects, selection, iteration, top-down design, and arrays, before writing classes. Every example is presented in the context of the RADIS (Requirements / Analyze / Design / Implement / Support) framework, with considerable attention paid to design. Other positive habits, like good commenting practice and coding style, are emphasized as well.
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Introduction to Mathematical Modeling and Computer Simulations
Introduction to Mathematical Modeling and Computer Simulations, Second Edition continues to serve as an engaging and accessible textbook for undergraduates studying mathematical modeling and computer simulations. The book is heavily focussed on applications, and so may have a particular appeal to applied mathematicians, engineers, and others working in applied quantitative disciplines. The book may also be useful as a reference text for reference text for early-career stage practitioners.New to this Edition:A new chapter on Machine Learning and Data Analysis in order to account for recent developments in the field.Chapter 9, ‘Asymptotic Methods in Composites’, has been entirely re-written to make it more consistent with industry and scientific standards.Includes an elementary introduction to programming in Python language.The Jupyter notebooks with examples for Chapter 10 and Appendix A are available for a download from www.Routledge.com/9781032661513.
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Introduction to Radar Using Python and MATLAB
"A well-constructed and concisely written book, incorporating a balanced combination of textual explanations and well-presented mathematical descriptions, which serves both as an introduction to many important aspects of radar but also as an extensive exercise in the usage and application of both the MATLAB and Python programming applications. It is eminently readable and understandable. I assess that it is probably most relevant to post graduate student scientists and engineers requiring a moderately detailed understanding of aspects of radar with a view to practical applications”Aerospace Magazine This comprehensive resource provides readers with the tools necessary to perform analysis of various waveforms for use in radar systems. It provides information about how to produce synthetic aperture (SAR) images by giving a tomographic formulation and implementation for SAR imaging. Tracking filter fundamentals, and each parameter associated with the filter and how each affects tracking performance are also presented. Various radar cross section measurement techniques are covered, along with waveform selection analysis through the study of the ambiguity function for each particular waveform from simple linear frequency modulation (LFM) waveforms to more complicated coded waveforms. The text includes the Python tool suite, which allows the reader to analyze and predict radar performance for various scenarios and applications. Also provided are MATLAB® scripts corresponding to the Python tools. The software includes a user-friendly graphical user interface (GUI) that provides visualizations of the concepts being covered. Users have full access to both the Python and MATLAB source code to modify for their application. With examples using the tool suite are given at the end of each chapter, this text gives readers a clear understanding of how important target scattering is in areas of target detection, target tracking, pulse integration, and target discrimination.
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