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  • MPI Ethno. Forsch.  (37,747)
  • English  (37,667)
  • Chinese  (131)
  • Latin  (15)
  • Electronic books  (37,611)
  • Python (Langage de programmation)
Datasource
Material
Language
Years
Author, Corporation
Publisher
Keywords
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    Multi-dimensional review of Panama (2017-)
    Paris : OECD
    Details
    Language: English
    Keywords: Panama Economic conditions ; Panama Economic policy ; Congresses ; Panama Social conditions ; Congresses ; Panama Economic policy ; Electronic books
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Book
    Book
    Selected writings (2017-)
    Oxford : Oxford University Press
    Details
    Language: English
    Series Statement: Oxford constitutional theory
    DDC: 342
    RVK:
    PI 2300
    Keywords: Law Philosophy ; State, The ; Political science ; Constitutional law ; Constitutional law ; Political science ; State, The ; Constitutional law ; Political science ; State, The ; Electronic books
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    MPI-MMG
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Skill Up with Python : data science and machine learning recipes (2024)
    [Place of publication not identified] : Pearson
    Details
    ISBN: 9780138298432 , 0138298432
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 22 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Python debugging for AI, machine learning, and cloud computing : a pattern-oriented approach (2024)
    New York, NY : Apress
    Details
    ISBN: 9781484297452 , 1484297458
    Language: English
    Pages: 1 online resource (xxi, 233 pages) , illustrations
    Edition: [First edition].
    Parallel Title: Erscheint auch als
    Keywords: Machine learning Computer simulation ; Debugging in computer science Computer programs ; Python (Computer program language) ; Apprentissage automatique ; Simulation par ordinateur ; Débogueurs ; Python (Langage de programmation)
    Abstract: This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, you’ll learn to use various debugging patterns through Python case studies that model abnormal software behavior. You’ll also be exposed to Python debugging techniques specific to cloud native and machine learning environments and explore how recent advances in AI/ML can help in Python debugging. Over the course of the book, case studies will show you how to resolve issues around environmental problems, crashes, hangs, resource spikes, leaks, and performance degradation. This includes tracing, logging, and analyziing memory dumps using native WinDbg and GDB debuggers. Upon completing this book, you will have the knowledge and tools needed to employ Python debugging in the development of AI, machine learning, and cloud computing applications.
    Note: Includes bibliographical references and index
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Skill up with Python : web development recipes (2024)
    [Place of publication not identified] : Pearson
    Details
    ISBN: 9780138297947 , 0138297940
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Web site development ; Web applications ; Python (Langage de programmation) ; Programmation (Informatique) ; Sites Web ; Développement ; Applications Web ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 2.5 Hours of Video Instruction Explore Python's capabilities for Data Science and Machine Learning, the topics of greatest import these days in the tech world. Python has risen to popularity as one of the most versatile and beginner-friendly programming languages. Its simplicity, readability, and extensive libraries make it a powerful language for a wide variety of different domains. It's widely used in web development, data analysis, scientific computing, artificial intelligence, and automation. Python's versatility and large community support make it an excellent language to kickstart your programming journey. This course offers a hands-on approach to building your Python skills through a series of practical projects from scratch. Hone your expertise in areas such as data analysis, machine learning, web scraping, and more. Related Learning: Watch and learn from Shaun's other videos: Functional Programming Projects with Python 3 About the Instructor: Shaun is a Senior Software Developer who specializes in Full-stack development and Software Architecture. He manages teams of developers, as well as teaches many hundreds of thousands more how to create enterprise-ready applications. Shaun's online courses have over 300,000 learners largely because of his passion for development and his focus on helping people apply their programming skills in the real world. He is a life-long programmer and problem-solving addict whose goal is to help people solve meaningful problems by mastering the art of software development. Please don't hesitate to get in touch with him about any opportunities or if you'd like to stay up to date on his other courses and live trainings. Skill Level: Intermediate-Advanced What You Will Learn: Each project will include some different aspect of data science/ machine learning with Python that it will be both accessible and engaging while you advance your skill set. Perform Sentiment Analysis on real-world text Work with Image Recognition Tools Scrape Basic Data from Websites And much more! Who Should Take This Course: Job titles: Software developer, Data analyst/scientist, Machine Learning Engineer, Web Developer, DevOps Engineer. Course Requirements: Prerequisites: Python experience and app development background About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    DEEP LEARNING FOR FINANCE : creating machine & deep learning models for trading in Python (2024)
    Sebastopol, CA : O'Reilly Media, Inc.
    Details
    ISBN: 9781098148362 , 1098148363
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 332.64/20285
    Keywords: Electronic trading of securities ; Python (Computer program language) ; Valeurs mobilières ; Commerce électronique ; Python (Langage de programmation)
    Abstract: Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning models Explore the details behind reinforcement learning and see how it's used in time series Understand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial markets Create technical indicators in Python and combine them with ML models for optimization Evaluate the models' profitability and predictability to understand their limitations and potential.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Python essentials (2024)
    [Erscheinungsort nicht ermittelbar] : John Wiley
    Details
    ISBN: 9781394263486 , 1394263481 , 9781394263479
    Language: English
    Pages: 1 online resource
    Series Statement: For dummies
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming
    Abstract: Python Essentials For Dummies is a quick reference to all the core concepts in Python, the multifaceted general-purpose language used for everything from building websites to creating apps. This book gets right to the point, with no excess review, wordy explanations, or fluff, making it perfect as a desk reference on the job or as a brush-up as you expand your skills in related areas. Focusing on just the essential topics you need to know to brush up or level up your Python skill, this is the reliable little book you can always turn to for answers.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Python all-in-one (2024)
    Hoboken, New Jersey : John Wiley & Sons, Inc.
    Details
    ISBN: 9781394236152
    Language: English
    Pages: 1 online resource (704 pages) , illustrations
    Edition: 3rd edition.
    Series Statement: For dummies
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming
    Abstract: Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language.
    Note: Includes index
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Splitting strings on any of multiple delimiters (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171315 , 1098171314
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python with this Shortcuts collection. Focusing on common problems involving text manipulation, many of these tasks can be solved using built-in methods of strings. More complicated operations may require regular expressions or the creation of a full-fledged parser.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    DEEP LEARNING FOR TIME SERIES COOKBOOK : use PyTorch and Python recipes for forecasting, classification, and anomaly detection (2024)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781805122739 , 1805122738 , 9781805129233
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 519.5/5
    Keywords: Time-series analysis Data processing ; Deep learning (Machine learning) ; Python (Computer program language) ; Série chronologique ; Informatique ; Apprentissage profond ; Python (Langage de programmation)
    Abstract: Learn how to deal with time series data and how to model it using deep learning and take your skills to the next level by mastering PyTorch using different Python recipes Key Features Learn the fundamentals of time series analysis and how to model time series data using deep learning Explore the world of deep learning with PyTorch and build advanced deep neural networks Gain expertise in tackling time series problems, from forecasting future trends to classifying patterns and anomaly detection Purchase of the print or Kindle book includes a free PDF eBook Book Description Most organizations exhibit a time-dependent structure in their processes, including fields such as finance. By leveraging time series analysis and forecasting, these organizations can make informed decisions and optimize their performance. Accurate forecasts help reduce uncertainty and enable better planning of operations. Unlike traditional approaches to forecasting, deep learning can process large amounts of data and help derive complex patterns. Despite its increasing relevance, getting the most out of deep learning requires significant technical expertise. This book guides you through applying deep learning to time series data with the help of easy-to-follow code recipes. You'll cover time series problems, such as forecasting, anomaly detection, and classification. This deep learning book will also show you how to solve these problems using different deep neural network architectures, including convolutional neural networks (CNNs) or transformers. As you progress, you'll use PyTorch, a popular deep learning framework based on Python to build production-ready prediction solutions. By the end of this book, you'll have learned how to solve different time series tasks with deep learning using the PyTorch ecosystem. What you will learn Grasp the core of time series analysis and unleash its power using Python Understand PyTorch and how to use it to build deep learning models Discover how to transform a time series for training transformers Understand how to deal with various time series characteristics Tackle forecasting problems, involving univariate or multivariate data Master time series classification with residual and convolutional neural networks Get up to speed with solving time series anomaly detection problems using autoencoders and generative adversarial networks (GANs) Who this book is for If you're a machine learning enthusiast or someone who wants to learn more about building forecasting applications using deep learning, this book is for you. Basic knowledge of Python programming and machine learning is required to get the most out of this book.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Machine learning theory and applications : hands-on use cases with Python on classical and quantum machines (2024)
    Hoboken, New Jersey : Wiley
    Details
    ISBN: 9781394220625 , 1394220626 , 1394220634 , 9781394220649 , 1394220642 , 9781394220632 , 9781394220618
    Language: English
    Pages: 1 online resource (512 pages) , illustrations (some color)
    Parallel Title: Erscheint auch als
    DDC: 006.3/1
    Keywords: Machine learning ; Quantum computing ; Python (Computer program language) ; Apprentissage automatique ; Informatique quantique ; Python (Langage de programmation) ; Machine learning ; Python (Computer program language) ; Quantum computing
    Abstract: "Machine learning (ML) and quantum computing are two technologies that have the potential to allow us to solve complex, previously impossible problems and help speed up areas such as model training or pattern recognition. The future of computing will certainly be comprised of classical, biologically inspired, and quantum computing. The intersection between quantum computing and AI/ML has received considerable attention in recent years and has enabled the development of quantum machine learning algorithms such as quantum-enhanced Support Vector Machines (QSVMs), QSVM multiclass classification, variational quantum classifiers or quantum generative adversarial networks (qGANs)."--
    Note: Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on March 26, 2024)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Learn AI-assisted Python programming : with GitHub Copilot and ChatGPT (2024)
    Shelter Island, NY : Manning Publications
    Details
    ISBN: 9781633437784 , 1633437787
    Language: English
    Pages: 1 online resource (296 pages) , illustrations
    Edition: [First edition].
    Parallel Title: Erscheint auch als Porter, Leo Learn AI-assisted Python programming
    DDC: 005.13/3
    Keywords: ChatGPT ; Python (Computer program language) ; Computer programming ; Natural language processing (Computer science) ; Artificial intelligence Computer programs ; Python (Langage de programmation) ; Programmation (Informatique) ; Traitement automatique des langues naturelles ; Intelligence artificielle ; Logiciels ; computer programming ; Einführung ; Künstliche Intelligenz ; Programmierung ; Python
    Abstract: Writing computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever. AI has changed the way we write computer programs. With tools like Copilot and ChatGPT, you can describe what you want in plain English, and watch your AI assistant generate the code right before your eyes. It’s perfect for beginners, or anyone who’s struggled with the steep learning curve of traditional programming. Learn AI-Assisted Python Programming: With GitHub Copilot and ChatGPT is a hands-on beginner’s guide that is written by two esteemed computer science university professors. It teaches you everything you need to start programming Python in an AI-first world. You’ll hit the ground running, writing prompts that tell your AI-assistant exactly what you want your programs to do. Along the way, you’ll pick up the essentials of Python programming and practice the higher-level thinking you’ll need to create working apps for data analysis, automating tedious tasks, and even video games. The way people write computer programs has changed forever. Using GitHub Copilot, you describe in plain English what you want your program to do, and the AI generates it instantly. This book shows you how to create and improve Python programs using AI—even if you’ve never written a line of computer code before. Spend less time on the slow, low-level programming details and instead learn how an AI assistant can bring your ideas to life immediately. As you go, you’ll even learn enough of the Python language to understand and improve what your AI assistant creates.
    Note: Includes bibliographical references and index
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 13
    Online Resource
    Online Resource
    Writing functions that only accept keyword arguments (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171537 , 1098171535
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python, the world's favorite programming language, with this Shortcuts collection. These recipes address a range of well-known and more advanced function definitions, as well as common programming patterns for class and object definitions.
    URL: lizenzpflichtig
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  • 14
    Online Resource
    Online Resource
    Hands-on microservices with Django : build cloud-native and reactive applications with Python using Django 5 (2024)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781835468524
    Language: English
    Pages: 1 online resource (278 pages) , illustrations
    Edition: First edition.
    DDC: 006.7/6
    Keywords: Django (Electronic resource) ; Python (Computer program language) ; Web site development ; Internet programming ; Python (Langage de programmation) ; Sites Web ; Développement ; Programmation Internet
    Abstract: Are you a Django developer looking to leverage microservices to create optimized and scalable web applications? If yes, then this book is for you. With microservices, you can split an application into self-contained services, each with a specific scope running asynchronously while collectively executing processes. Written by an experienced Python developer, Hands-On Microservices with Django teaches you how to develop and deploy microservices using Django and accompanying components such as Celery and Redis. You'll start by learning the principles of microservices and message/task queues and how to design them effectively. Next, you’ll focus on building your first microservices with Django RESTful APIs (DFR) and RabbitMQ, mastering the fundamentals along the way. As you progress, you’ll get to grips with dockerizing your microservices. Later, you’ll discover how to optimize and secure them for production environments. By the end of this book, you’ll have the skills you need to design and develop production-ready Django microservices applications with DFR, Celery/RabbitMQ, Redis, and Django's cache framework.
    Note: Includes index
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 15
    Online Resource
    Online Resource
    Build your own robot : using Python, CRICKIT, and Raspberry Pi (2024)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 7 min.)) , sound, color.
    Edition: [First edition]
    DDC: 629.8/92
    Keywords: Robotics ; Python (Computer program language) ; Raspberry Pi (Computer) ; Robotique ; Python (Langage de programmation) ; Raspberry Pi (Ordinateur) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Build Your Own Robot is a project-based guide that takes you from spinning your first DC motor to programming a mobile robot that you can control from your phone or computer. You’ll write simple Python code to help your new friend spin, move, and find its way. You’ll even teach it to track faces and fetch snacks. Plus, a helpful hardware purchasing guide makes it easy to find exactly what you need to get started!
    Note: Online resource; title from title details screen (O’Reilly, viewed May 6, 2024)
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    MPI Ethno. Forsch.
  • 16
    Online Resource
    Online Resource
    Math and architectures of deep learning (2024)
    Shelter Island, NY : Manning Publications
    Details
    ISBN: 9781617296482 , 1617296481
    Language: English
    Pages: 1 online resource (xxvi, 523 pages) , illustrations.
    Parallel Title: Erscheint auch als
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Deep learning (Machine learning) Mathematics ; Python (Computer program language) ; Apprentissage profond ; Apprentissage profond ; Mathématiques ; Python (Langage de programmation) ; Deep learning (Machine learning) ; Python (Computer program language)
    Abstract: Discover what's going on inside the black box! To work with deep learning you'll have to choose the right model, train it, preprocess your data, evaluate performance and accuracy, and deal with uncertainty and variability in the outputs of a deployed solution. This book takes you systematically through the core mathematical concepts, linear algebra, and Bayesian inference, all from a deep learning perspective. Math and archtectures of deep learning teaches the math, theory, and programming principles of deep learning models laid out side by side, and then puts them into practice with well-annotated Python code. You'll progrress from algebra, calculus, and statistics all the way to state-of-the-art DL architectures taken from the latest research.
    Note: Includes index. - Description based on print version record
    URL: lizenzpflichtig
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  • 17
    Online Resource
    Online Resource
    Data structures using Python 2024 (2024)
    [Birmingham, United Kingdom] : Packt Publishing Ltd.
    Details
    ISBN: 9781836204671 , 1836204671
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 45 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Data structures (Computer science) ; Python (Langage de programmation) ; Structures de données (Informatique) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This comprehensive course begins with fundamental concepts, introducing you to basic data structures like arrays and lists, and progressively covers more complex structures such as linked lists, stacks, queues, trees, and graphs. Each lesson is intricately designed to build upon the previous, ensuring a seamless transition from simple to complex data management techniques. As the course unfolds, you'll delve into the practical implementations and theoretical underpinnings of each data structure. We not only explain the operations of each structure but also demonstrate their real-world applications in Python, enabling you to optimize software performance and tackle programming challenges with precision. Detailed video tutorials guide you through the intricacies of data manipulation, ensuring you understand how to effectively utilize data structures in your projects. This approach not only enhances learning but also ensures you can apply these structures to solve practical, real-world problems. By the end of this course, your transformation from a beginner to a proficient Python programmer will be well underway. You'll possess the skills to handle complex data structures, making you a valuable asset in the tech industry.
    Note: Online resource; title from title details screen (O’Reilly, viewed May 14, 2024)
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  • 18
    Online Resource
    Online Resource
    Normalizing unicode text to a standard representation (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171407 , 1098171403
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Unicode (Computer character set) ; Computer programming ; Python (Langage de programmation) ; Unicode (Jeu de caractères) ; Programmation (Informatique) ; computer programming
    Abstract: Build your knowledge of Python with this Shortcuts collection. Focusing on common problems involving text manipulation, many of these tasks can be solved using built-in methods of strings. More complicated operations may require regular expressions or the creation of a full-fledged parser.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 19
    Online Resource
    Online Resource
    Writing a regular expression for multiline patterns (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171391 , 109817139X
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Programming languages (Electronic computers) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python with this Shortcuts collection. Focusing on common problems involving text manipulation, many of these tasks can be solved using built-in methods of strings. More complicated operations may require regular expressions or the creation of a full-fledged parser.
    Note: Includes bibliographical references
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 20
    Online Resource
    Online Resource
    Defining anonymous or inline functions (2024)
    Sebastopol, CA : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171575 , 1098171578
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python, the world’s favorite programming language, with this Shortcuts collection. These recipes address a range of well-known and more advanced function definitions, as well as common programming patterns for class and object definitions.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 21
    Online Resource
    Online Resource
    ACCELERATE MODEL TRAINING WITH PYTORCH 2.X : build more accurate models by boosting the model training process (2024)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781805121916 , 180512191X , 9781805120100
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 006.3/2
    Keywords: Neural networks (Computer science) ; Machine learning ; Python (Computer program language) ; Réseaux neuronaux (Informatique) ; Apprentissage automatique ; Python (Langage de programmation)
    Abstract: Dramatically accelerate the building process of complex models using PyTorch to extract the best performance from any computing environment Key Features Reduce the model-building time by applying optimization techniques and approaches Harness the computing power of multiple devices and machines to boost the training process Focus on model quality by quickly evaluating different model configurations Purchase of the print or Kindle book includes a free PDF eBook Book Description Penned by an expert in High-Performance Computing (HPC) with over 25 years of experience, this book is your guide to enhancing the performance of model training using PyTorch, one of the most widely adopted machine learning frameworks. You'll start by understanding how model complexity impacts training time before discovering distinct levels of performance tuning to expedite the training process. You'll also learn how to use a new PyTorch feature to compile the model and train it faster, alongside learning how to benefit from specialized libraries to optimize the training process on the CPU. As you progress, you'll gain insights into building an efficient data pipeline to keep accelerators occupied during the entire training execution and explore strategies for reducing model complexity and adopting mixed precision to minimize computing time and memory consumption. The book will get you acquainted with distributed training and show you how to use PyTorch to harness the computing power of multicore systems and multi-GPU environments available on single or multiple machines. By the end of this book, you'll be equipped with a suite of techniques, approaches, and strategies to speed up training , so you can focus on what really matters--building stunning models! What you will learn Compile the model to train it faster Use specialized libraries to optimize the training on the CPU Build a data pipeline to boost GPU execution Simplify the model through pruning and compression techniques Adopt automatic mixed precision without penalizing the model's accuracy Distribute the training step across multiple machines and devices Who this book is for This book is for intermediate-level data scientists who want to learn how to leverage PyTorch to speed up the training process of their machine learning models by employing a set of optimization strategies and techniques. To make the most of this book, familiarity with basic concepts of machine learning, PyTorch, and Python is essential. However, there is no obligation to have a prior understanding of distributed computing, accelerators, or multicore processors.
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  • 22
    Online Resource
    Online Resource
    Python web scraping : data extraction with beautiful soup (2024)
    Shelter Island, NY : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 52 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Data mining ; Python (Computer program language) ; Exploration de données (Informatique) ; Python (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Harness the potential of extracting web data with our detailed course on Web Scraping using Beautiful Soup in Python. Begin your journey with an introduction to the basics of web scraping. Learn why Python and its robust library, Beautiful Soup, are favorites among developers and data enthusiasts. Immerse yourself in the details of HTML structures, learning to identify and navigate through various HTML tags and mastering CSS selectors to precisely extract the data you need. Take advantage of the Requests library for easy and effective management of HTTP requests, simplifying the process of web content retrieval. Advance your skills with hands-on experience in Beautiful Soup, covering everything from fundamental parsing to sophisticated data extraction methods. Practical application is key. Our course offers numerous real-world projects, giving you the chance to apply your skills in different settings, including tracking eBay prices, extracting top hits from Billboard, sourcing movie recommendations from IMDB, and keeping an eye on Bitcoin prices. Complete this course with the ability to effortlessly scrape web data and turn it into valuable insights.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 7, 2024)
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  • 23
    Online Resource
    Online Resource
    Making an n-argument callable work as a callable with fewer arguments (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171629 , 1098171624
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming
    Abstract: Build your knowledge of Python, the world’s favorite programming language, with this Shortcuts collection. These recipes address a range of well-known and more advanced function definitions, as well as common programming patterns for class and object definitions.
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  • 24
    Online Resource
    Online Resource
    Capturing variables in anonymous functions (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171582 , 1098171586
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python, the worlds favorite programming language, with this Shortcuts collection. These recipes address a range of well-known and more advanced function definitions, as well as common programming patterns for class and object definitions.
    Note: Includes bibliographical references
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  • 25
    Online Resource
    Online Resource
    Skill up with Python (2024)
    [Place of publication not identified] : Pearson
    Details
    ISBN: 9780135360866 , 0135360862
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Python has risen to popularity as one of the most versatile and beginner-friendly programming languages. Its simplicity, readability, and extensive libraries make it a powerful language for a wide variety of different domains. It’s widely used in web development, data analysis, scientific computing, artificial intelligence, and automation. Python’s versatility and large community support make it an excellent language to kickstart your programming journey.
    Note: Online resource; title from title details screen (O’Reilly, viewed May 7, 2024)
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  • 26
    Online Resource
    Online Resource
    Communication Research into the Digital Society : Fundamental Insights from the Amsterdam School of Communication Research (2024)
    Amsterdam : Amsterdam University Press | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9789048560608
    Language: English
    Pages: 1 Online-Ressource (274 pages)
    Edition: 1st ed.
    DDC: 302.231
    Keywords: Electronic books
    Note: Description based on publisher supplied metadata and other sources
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    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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    URL: kostenfrei
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  • 27
    Online Resource
    Online Resource
    Build your own robot : using Python, CRICKIT, and Raspberry Pi (2024)
    Shelter Island, NY : Manning Publications
    Details
    ISBN: 9781633438453 , 1633438457 , 9781638354369 , 1638354367
    Language: English
    Pages: 1 online resource (248 pages) , illustrations
    Edition: [First edition].
    Parallel Title: Erscheint auch als
    DDC: 629.8/92
    Keywords: Robotics ; Python (Computer program language) ; Raspberry Pi (Computer) ; Robotique ; Python (Langage de programmation) ; Raspberry Pi (Ordinateur)
    Abstract: Build Your Own Robot is a project-based guide that takes you from spinning your first DC motor to programming a mobile robot that you can control from your phone or computer. You’ll write simple Python code to help your new friend spin, move, and find its way. You’ll even teach it to track faces and fetch snacks. Plus, a helpful hardware purchasing guide makes it easy to find exactly what you need to get started!
    Note: Includes index
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  • 28
    Online Resource
    Online Resource
    DATA-CENTRIC MACHINE LEARNING WITH PYTHON : the ultimate guide to engineering and deploying high-quality models based on good data (2024)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781804612415 , 1804612413 , 9781804618127
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Machine learning ; Python (Computer program language) ; Data mining ; Apprentissage automatique ; Python (Langage de programmation) ; Exploration de données (Informatique)
    Abstract: Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using Python Key Features Grasp the principles of data centricity and apply them to real-world scenarios Gain experience with quality data collection, labeling, and synthetic data creation using Python Develop essential skills for building reliable, responsible, and ethical machine learning solutions Purchase of the print or Kindle book includes a free PDF eBook Book Description In the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets. This book will help you understand what data-centric ML/AI is and how it can help you to realize the potential of 'small data'. Delving into the building blocks of data-centric ML/AI, you'll explore the human aspects of data labeling, tackle ambiguity in labeling, and understand the role of synthetic data. From strategies to improve data collection to techniques for refining and augmenting datasets, you'll learn everything you need to elevate your data-centric practices. Through applied examples and insights for overcoming challenges, you'll get a roadmap for implementing data-centric ML/AI in diverse applications in Python. By the end of this book, you'll have developed a profound understanding of data-centric ML/AI and the proficiency to seamlessly integrate common data-centric approaches in the model development lifecycle to unlock the full potential of your machine learning projects by prioritizing data quality and reliability. What you will learn Understand the impact of input data quality compared to model selection and tuning Recognize the crucial role of subject-matter experts in effective model development Implement data cleaning, labeling, and augmentation best practices Explore common synthetic data generation techniques and their applications Apply synthetic data generation techniques using common Python packages Detect and mitigate bias in a dataset using best-practice techniques Understand the importance of reliability, responsibility, and ethical considerations in ML/AI Who this book is for This book is for data science professionals and machine learning enthusiasts looking to understand the concept of data-centricity, its benefits over a model-centric approach, and the practical application of a best-practice data-centric approach in their work. This book is also for other data professionals and senior leaders who want to explore the tools and techniques to improve data quality and create opportunities for small data ML/AI in their organizations.
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  • 29
    Online Resource
    Online Resource
    Bayesian analysis with Python : a practical guide to probabilistic modeling (2024)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781805125419 , 1805125419 , 9781805127161
    Language: English
    Pages: 1 online resource.
    Edition: Third Edition.
    Series Statement: Expert insight
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Bayesian statistical decision theory ; Python (Langage de programmation) ; Traitement automatique des langues naturelles ; Théorie de la décision bayésienne
    Abstract: Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these libraries Key Features Conduct Bayesian data analysis with step-by-step guidance Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling Enhance your learning with best practices through sample problems and practice exercises Purchase of the print or Kindle book includes a free PDF eBook. Book DescriptionThe third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and other libraries that support and facilitate modeling like ArviZ, for exploratory analysis of Bayesian models; Bambi, for flexible and easy hierarchical linear modeling; PreliZ, for prior elicitation; PyMC-BART, for flexible non-parametric regression; and Kulprit, for variable selection. In this updated edition, a brief and conceptual introduction to probability theory enhances your learning journey by introducing new topics like Bayesian additive regression trees (BART), featuring updated examples. Refined explanations, informed by feedback and experience from previous editions, underscore the book's emphasis on Bayesian statistics. You will explore various models, including hierarchical models, generalized linear models for regression and classification, mixture models, Gaussian processes, and BART, using synthetic and real datasets. By the end of this book, you will possess a functional understanding of probabilistic modeling, enabling you to design and implement Bayesian models for your data science challenges. You'll be well-prepared to delve into more advanced material or specialized statistical modeling if the need arises. What you will learn Build probabilistic models using PyMC and Bambi Analyze and interpret probabilistic models with ArviZ Acquire the skills to sanity-check models and modify them if necessary Build better models with prior and posterior predictive checks Learn the advantages and caveats of hierarchical models Compare models and choose between alternative ones Interpret results and apply your knowledge to real-world problems Explore common models from a unified probabilistic perspective Apply the Bayesian framework's flexibility for probabilistic thinking Who this book is for If you are a student, data scientist, researcher, or developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory, so no previous statistical knowledge is required, although some experience in using Python and scientific libraries like NumPy is expected.
    Note: Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, viewed February 29, 2024)
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  • 30
    Online Resource
    Online Resource
    Hands-On Python for DevOps : Leverage Python's Native Libraries to Streamline Your Workflow and Save Time with Automation (2024)
    Birmingham : Packt Publishing, Limited
    Details
    ISBN: 9781835081495 , 1835081495 , 9781835081167
    Language: English
    Pages: 1 online resource (220 p.)
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer software Development ; Python (Langage de programmation)
    Abstract: Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and AzureKey FeaturesIntegrate Python into DevOps for streamlined workflows, task automation, and improved collaborationCombine the principles of Python and DevOps into a unified approach for problem solving.
    Note: Description based upon print version of record. - Sample 1: Running fleet maintenance on multiple instance fleets at once
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  • 31
    Online Resource
    Online Resource
    Machine learning with Python (2024)
    [Place of publication not identified] : Scatterplot Press
    Details
    ISBN: 9781835461969
    Language: English
    Pages: 1 online resource (146 pages) , illustrations
    Edition: First edition.
    DDC: 005.13/3
    Keywords: Machine learning ; Python (Computer program language) ; Data mining ; Apprentissage automatique ; Python (Langage de programmation) ; Exploration de données (Informatique)
    Abstract: The course starts by setting the foundation with an introduction to machine learning, Python, and essential libraries, ensuring you grasp the basics before diving deeper. It then progresses through exploratory data analysis, data scrubbing, and pre-model algorithms, equipping you with the skills to understand and prepare your data for modeling. The journey continues with detailed walkthroughs on creating, evaluating, and optimizing machine learning models, covering key algorithms such as linear and logistic regression, support vector machines, k-nearest neighbors, and tree-based methods. Each section is designed to build upon the previous, reinforcing learning and application of concepts. Wrapping up, the course introduces the next steps, including an introduction to Python for newcomers, ensuring a comprehensive understanding of machine learning applications.
    Note: Includes bibliographical references
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  • 32
    Online Resource
    Online Resource
    Master ChatGPT and OpenAI APIs by building AI tools in Python (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835885628 , 1835885624
    Language: English
    Pages: 1 online resource (1 video file (11 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Python (Computer program language) ; Intelligence artificielle ; Python (Langage de programmation) ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Embark on a transformative learning experience with 'Master ChatGPT and OpenAI APIs By Building AI Tools in Python.' This immersive course takes you from the basics of ChatGPT and OpenAI's potent APIs through a journey of building dynamic AI-powered tools. Discover the magic behind ChatGPT's conversational prowess and dive deep into the neural networks and transformers that make it tick. You'll start by creating and managing your ChatGPT account, understanding the model's anatomy, and grasping the limitations and capabilities of AI language models. Transitioning from theory to hands-on practice, the course guides you through content creation, code generation, and the intricacies of prompt engineering. Moreover, you'll venture into the realms of generative AI with Midjourney, craft AI-driven applications, and harness the synergy of OpenAI and DALL-E for on-the-fly image generation. This course demystifies the AI concepts crucial in today's technology landscape, providing you with the skills to innovate and excel in the burgeoning field of AI. What you will learn Navigate the foundational elements of ChatGPT and OpenAI APIs Generate creative content and code with ChatGPT's language model Design and implement AI applications with user-friendly interfaces Master the art of prompt engineering for optimized AI interactions Build AI-powered tools and images using OpenAI and DALL-E Develop secure, intelligent applications with advanced Python techniques Audience This course welcomes everyone from entrepreneurs to artists and developers, aiming to learn about cutting-edge AI technologies and build AI-powered applications. Basic programming knowledge is preferred but not mandatory, making this course accessible to a wide range of learners. About the Author Paulo Dichone: Paulo Dichone, a seasoned software engineer and AWS Cloud Practitioner, is renowned for his expertise in Android, Flutter, and AWS, as well as being a best-selling instructor. Paulo has successfully imparted his knowledge to over 200,000 students across 175 countries, specializing in mobile app development for Android and iOS, web development, and AWS Cloud. His teaching philosophy centers on empowering students to excel as developers and AWS cloud practitioners, regardless of their prior experience. Beyond his professional pursuits, Paulo is devoted to his family, enjoys playing the guitar and mandolin, and loves to travel. He is committed to guiding students to achieve their highest potential in the tech industry.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 33
    Online Resource
    Online Resource
    Feminist Activism, Travel and Translation Around 1900 : Transnational Practices of Mediation and the Case of Käthe Schirmacher (2024)
    Cham : Springer International Publishing AG | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9783031427633
    Language: English
    Pages: 1 Online-Ressource (359 pages)
    Edition: 1st ed.
    Series Statement: Translation History Series
    DDC: 305.4209034
    Keywords: Electronic books
    Note: Description based on publisher supplied metadata and other sources
    URL: kostenfrei
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  • 34
    Online Resource
    Online Resource
    Epistemic Rights in the Era of Digital Disruption (2024)
    Cham : Springer International Publishing AG | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9783031459764
    Language: English
    Pages: 1 Online-Ressource (233 pages)
    Edition: 1st ed.
    Series Statement: Global Transformations in Media and Communication Research - a Palgrave and IAMCR Series
    DDC: 302.231
    Keywords: Electronic books ; Electronic books.
    Note: Description based on publisher supplied metadata and other sources
    URL: kostenfrei
    URL: lizenzpflichtig
    URL: kostenfrei
    URL: Click here to view book
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  • 35
    Online Resource
    Online Resource
    Civil Society Elites : Exploring the Composition, Reproduction, Integration, and Contestation of Civil Society Actors at the Top (2024)
    Cham : Springer International Publishing AG | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9783031401503
    Language: English
    Pages: 1 Online-Ressource (339 pages)
    Edition: 1st ed.
    Series Statement: Palgrave Studies in Third Sector Research Series
    DDC: 306.2
    Keywords: Electronic books ; Electronic books.
    Note: Description based on publisher supplied metadata and other sources
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  • 36
    Online Resource
    Online Resource
    Planetary Hinterlands : Extraction, Abandonment and Care (2024)
    Cham : Springer International Publishing AG | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9783031242434
    Language: English
    Pages: 1 Online-Ressource (342 pages)
    Edition: 1st ed.
    Series Statement: Palgrave Studies in Globalization, Culture and Society Series
    DDC: 303.482
    Keywords: Electronic books ; Electronic books.
    Note: Description based on publisher supplied metadata and other sources
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  • 37
    Online Resource
    Online Resource
    Better Python code : a guide for aspiring experts (2024)
    Hoboken, New Jersey : Addison-Wesley Professional
    Details
    Language: English
    Pages: 1 online resource (288 pages) , illustrations
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Python is one of the most widely used programming languages in the world. It is used everywhere from primary school education to workaday web development, to the most advanced scientific research institutes of the world. However, like all programming languages, Python has a collection of "Pythonic" ways of accomplishing tasks that are easy to overlook, especially when habits are borrowed wholesale from work in other programming languages. Better Python Code is a guide to Pythonic programming. The book presents common mistakes that Python developers make--even Python developers who have used the language for years--often because Python sometimes presents "attractive nuisances." Throughout, the book is a guide to better programming in the core Python language. Each section shows a concrete but concise example of some misunderstanding or bad habit in action. Each section contains a description of what is wrong with the sample code and a suggestion for one or more better ways to code equivalent functionality without the initial pitfall. Every pitfall addressed in this book reflects foibles, errors, and misunderstandings that the author as seen in concrete, widely used code bases written by experienced developers, over his 25 years of writing Python. Both beginners and developers with decades of experience will learn to correct limitations in the code they write after reflecting on these discussions.
    Note: Includes bibliographical references and index
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  • 38
    Online Resource
    Online Resource
    Python for teenagers : learn to program like a superhero! (2024)
    Berkeley, CA : Apress
    Details
    ISBN: 9781484299883 , 1484299884
    Language: English
    Pages: 1 online resource (xxiii, 320 pages) , illustrations
    Edition: Second edition.
    Parallel Title: Erscheint auch als
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: This book, which is designed for middle-school through college-aged students, will arm beginners with solid programming foundations they can carry throughout life. It uses fun and simple language (and programming examples) to teach the fundamentals needed to start the down path of becoming a programmer. Python is a highly flexible language, allowing developers to enter any number of technical fields and is a welcome addition to any resume. With its low learning curve, it makes a great introductory language, as new developers can take the coding fundamentals they learn in Python and apply them to any other language. The second edition builds upon the foundation of the first book, revising all the chapters where the language has changed, updating the commands, code, and examples to bring it up to date with the current version of Python. Since Python is the most popular programming language in the world and can be used in conjunction with other languages - across multiple platforms - it can increase the reader's ability to qualify for a wider range of jobs than other languages. Finally, Python is fun - something not every programming language can boast! You will: Install and configure Python Grasp basic software development principles and syntax Understand the best practices for coding in Python Create applications and debug code.
    Note: Includes index. - Online resource; title from PDF title page (SpringerLink, viewed December 15, 2023)
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  • 39
    Online Resource
    Online Resource
    Python (2024)
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    Details
    ISBN: 9788328361508
    Language: English , Polish
    Pages: 1 online resource (1496 pages)
    Edition: 5th edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: To kompleksowy podręcznik do nauki programowania w Pythonie. Jego piąte wydanie zostało gruntownie zaktualizowane i rozbudowane o dodatkowe treści. Omówiono tu najnowsze wersje Pythona w liniach 3.X i 2.X, czyli 3.3 i 2.7, i dodano opisy nowych lub rozszerzonych mechanizmów, takich jak obsługa formatu JSON, moduł timeit, pakiet PyPy, metoda os.popen, generatory, rekurencje, słabe referencje, atrybuty i metody __mro__, __iter__, super, __slots__, metaklasy, deskryptory, funkcja random, pakiet Sphinx i wiele innych. W książce znalazło się mnóstwo ćwiczeń, quizów, pomocnych ilustracji oraz przykładów kodu. Jest to kompendium dla każdego, kto chce szybko zacząć programować w Pythonie i tworzyć wydajny kod o wysokiej jakości.
    Note: Online resource; Title from title page (viewed August 5, 2024) , Mode of access: World Wide Web.
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  • 40
    Online Resource
    Online Resource
    Object oriented Python (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781836204473 , 1836204477
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: An immersive video course designed to introduce and deepen your understanding of Object-Oriented Programming (OOP) principles within the Python ecosystem. Through a hands-on approach, instructors Vonne and Justin guide you from the foundational setup and OOP basics--encapsulation, abstraction, inheritance, and polymorphism--to the creation of a dynamic text-based game, MonsterSlash. This course is structured to enhance your programming skills by applying OOP techniques to reduce code redundancy, promote reusability, and streamline your coding workflow. You'll embark on a project-driven learning path that not only solidifies theoretical concepts but also puts them into practice by developing a fully functional game. As the course progresses, you'll refine your game, add complexity, and implement advanced OOP strategies, culminating in version 2 of MonsterSlash that features enhanced gameplay elements. Whether you're a beginner eager to explore programming or an intermediate looking to sharpen your OOP skills in Python, this course offers valuable insights and skills for your development arsenal. What you will learn Set up your Python environment for OOP development. Understand and apply the four pillars of OOP in Python. Create, extend, and refine classes and objects. Develop a text-based game from scratch using OOP principles. Employ inheritance and composition to optimize your code. Refactor and enhance your game with advanced OOP techniques. Audience This course is ideal for individuals interested in Python programming, especially those curious about object-oriented programming. Beginners will find the course accessible, while intermediate programmers can deepen their OOP knowledge. Prior exposure to basic Python syntax is helpful but not required. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Justin Dennison: Justin leads AWS and developer content creation for ITProTV. He has experience in multiple programming languages. His certifications include AWS Certified Solutions Architect -- Associate, AWS Certified Developer -- Associate, AWS Certified Cloud Practitioner, Oracle Certified Associate, Java SE 7 Programmer. Vonne Smith: Vonne leads the content development for the OfficeProTV and CreativeProTV channels. She has over a decade of experience teaching Office and Adobe applications both online and in the classroom. Certifications: Microsoft Office Master 2016.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
    URL: lizenzpflichtig
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  • 41
    Online Resource
    Online Resource
    Writing functions that accept any number of arguments (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171520 , 1098171527
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python, the world's favorite programming language, with this Shortcuts collection. These recipes address a range of well-known and more advanced function definitions, as well as common programming patterns for class and object definitions.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 42
    Online Resource
    Online Resource
    Returning multiple values from a function (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171551 , 1098171551
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python, the world's favorite programming language, with this Shortcuts collection. These recipes address a range of well-known and more advanced function definitions, as well as common programming patterns for class and object definitions.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 43
    Online Resource
    Online Resource
    Matching text at the start or end of a string (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171322 , 1098171322
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python with this Shortcuts collection. Focusing on common problems involving text manipulation, many of these tasks can be solved using built-in methods of strings. More complicated operations may require regular expressions or the creation of a full-fledged parser.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 44
    Online Resource
    Online Resource
    Abstracting with functions (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781836204459 , 1836204450
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/17
    Keywords: Python (Computer program language) ; Application software Development ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: """Abstracting with Functions"" is a meticulously curated video course designed for technical professionals eager to master the art of function creation in Python. Through a comprehensive series of videos, learners are taken on a journey that begins with the basics of what functions are and why they are pivotal in programming. The course underscores the significance of functions in collecting logic into reusable chunks, thereby fostering more readable and maintainable codebases. Starting with an introductory overview, the course swiftly moves to dissect the anatomy of functions, from the simplest forms without arguments to more complex functions featuring multiple positional and keyword arguments. Each episode, hosted by dynamic duos such as Aubri and Ronnie or Justin and Zach, not only discusses the syntax and theoretical aspects but also delves into practical demonstrations and the subtleties of function creation, such as edge cases and argument types. The importance of understanding functions is also linked to professional development, highlighting their relevance in networking and certification exams. By the end of the course, learners will have a solid grasp of how to efficiently abstract logic through functions, enabling the construction of more sophisticated and scalable programs. What you will learn Understand the fundamental concept of functions. Explore the syntax and creation of functions in Python. Distinguish between various types of functions. Learn advanced topics such as keyword arguments. Use mixed arguments to enhance function versatility. Grasp the significance of functions in different contexts. Audience Individuals at the beginning of their coding journey who want to learn best practices early on, and those with some experience in Python or other programming languages looking to deepen their understanding of functions and how to use them more effectively in their projects will find this course quite useful. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Justin Dennison: Justin leads AWS and developer content creation for ITProTV. He has experience in multiple programming languages. His certifications include AWS Certified Solutions Architect -- Associate, AWS Certified Developer -- Associate, AWS Certified Cloud Practitioner, Oracle Certified Associate, Java SE 7 Programmer. Zachary Memos: Zachary Memos is a show host with 30+ years of on-camera experience. He brings his wit and charm to the camera while helping bring out the best in the ITProTV subject matter experts.".
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
    URL: lizenzpflichtig
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  • 45
    Online Resource
    Online Resource
    ACTIVE MACHINE LEARNING WITH PYTHON : refine and elevate data quality over quantity with active learning (2024)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781835462683 , 1835462685 , 9781835464946
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Machine learning ; Python (Computer program language) ; Data mining ; Apprentissage automatique ; Python (Langage de programmation) ; Exploration de données (Informatique)
    Abstract: Use active machine learning with Python to improve the accuracy of predictive models, streamline the data analysis process, and adapt to evolving data trends, fostering innovation and progress across diverse fields Key Features Learn how to implement a pipeline for optimal model creation from large datasets and at lower costs Gain profound insights within your data while achieving greater efficiency and speed Apply your knowledge to real-world use cases and solve complex ML problems Purchase of the print or Kindle book includes a free PDF eBook Book Description Building accurate machine learning models requires quality data--lots of it. However, for most teams, assembling massive datasets is time-consuming, expensive, or downright impossible. Led by Margaux Masson-Forsythe, a seasoned ML engineer and advocate for surgical data science and climate AI advancements, this hands-on guide to active machine learning demonstrates how to train robust models with just a fraction of the data using Python's powerful active learning tools. You'll master the fundamental techniques of active learning, such as membership query synthesis, stream-based sampling, and pool-based sampling and gain insights for designing and implementing active learning algorithms with query strategy and Human-in-the-Loop frameworks. Exploring various active machine learning techniques, you'll learn how to enhance the performance of computer vision models like image classification, object detection, and semantic segmentation and delve into a machine AL method for selecting the most informative frames for labeling large videos, addressing duplicated data. You'll also assess the effectiveness and efficiency of active machine learning systems through performance evaluation. By the end of the book, you'll be able to enhance your active learning projects by leveraging Python libraries, frameworks, and commonly used tools. What you will learn Master the fundamentals of active machine learning Understand query strategies for optimal model training with minimal data Tackle class imbalance, concept drift, and other data challenges Evaluate and analyze active learning model performance Integrate active learning libraries into workflows effectively Optimize workflows for human labelers Explore the finest active learning tools available today Who this book is for Ideal for data scientists and ML engineers aiming to maximize model performance while minimizing costly data labeling, this book is your guide to optimizing ML workflows and prioritizing quality over quantity. Whether you're a technical practitioner or team lead, you'll benefit from the proven methods presented in this book to slash data requirements and iterate faster. Basic Python proficiency and familiarity with machine learning concepts such as datasets and convolutional neural networks is all you need to get started.
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  • 46
    Online Resource
    Online Resource
    Attaching informational metadata to function arguments (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171544 , 1098171543
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python, the world's favorite programming language, with this Shortcuts collection. These recipes address a range of well-known and more advanced function definitions, as well as common programming patterns for class and object definitions.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 47
    Online Resource
    Online Resource
    Defining functions with default arguments (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171568 , 109817156X
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python, the world's favorite programming language, with this Shortcuts collection. These recipes address a range of well-known and more advanced function definitions, as well as common programming patterns for class and object definitions.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 48
    Online Resource
    Online Resource
    Extending Power BI with Python and R : perform advanced analysis using the power of analytical languages (2024)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781837639533
    Language: English
    Pages: 1 online resource (814 pages) , illustrations
    Edition: Second edition.
    Series Statement: Expert insight
    DDC: 001.4/226028566
    Keywords: Information visualization Computer programs ; Visual analytics Data processing ; Data mining Computer programs ; Business intelligence Computer programs ; R (Computer program language) ; Python (Computer program language) ; Visualisation de l'information ; Logiciels ; Analyse visuelle ; Informatique ; Exploration de données (Informatique) ; Logiciels ; R (Langage de programmation) ; Python (Langage de programmation)
    Abstract: The latest edition of this book delves deep into advanced analytics, focusing on enhancing Python and R proficiency within Power BI. New chapters cover optimizing Python and R settings, utilizing Intel's Math Kernel Library (MKL) for performance boosts, and addressing integration challenges. Techniques for managing large datasets beyond available RAM, employing the Parquet data format, and advanced fuzzy matching algorithms are explored. Additionally, it discusses leveraging SQL Server Language Extensions to overcome traditional Python and R limitations in Power BI. It also helps in crafting sophisticated visualizations using the Grammar of Graphics in both R and Python. This Power BI book will help you master data validation with regular expressions, import data from diverse sources, and apply advanced algorithms for transformation. You'll learn how to safeguard personal data in Power BI with techniques like pseudonymization, anonymization, and data masking. You'll also get to grips with the key statistical features of datasets by plotting multiple visual graphs in the process of building a machine learning model. The book will guide you on utilizing external APIs for enrichment, enhancing I/O performance, and leveraging Python and R for analysis. You'll reinforce your learning with questions at the end of each chapter.
    Note: Includes bibliographical references and index
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  • 49
    Online Resource
    Online Resource
    Data science fundamentals with R, Python, and open data (2024)
    Hoboken, New Jersey : Wiley
    Details
    ISBN: 9781394213269 , 1394213263 , 9781394213252 , 1394213255 , 9781394213276 , 1394213271 , 9781394213245
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: Data mining ; R (Computer program language) ; Python (Computer program language) ; Exploration de données (Informatique) ; R (Langage de programmation) ; Python (Langage de programmation)
    Abstract: "Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data."--
    Note: Includes index. - Description based on print version record and CIP data provided by publisher; resource not viewed
    URL: lizenzpflichtig
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  • 50
    Online Resource
    Online Resource
    Matching and searching for text patterns (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171353 , 1098171357
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python with this Shortcuts collection. Focusing on common problems involving text manipulation, many of these tasks can be solved using built-in methods of strings. More complicated operations may require regular expressions or the creation of a full-fledged parser.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 51
    Online Resource
    Online Resource
    Create your own ChatGPT clone using Python (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781836206071 , 1836206070
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: ChatGPT ; Python (Computer program language) ; Computer programming ; Artificial intelligence ; Python (Langage de programmation) ; Programmation (Informatique) ; Intelligence artificielle ; computer programming ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: "Unlock the world of conversational AI with ""Create Your Own ChatGPT Clone using Python,"" a comprehensive video course designed to teach you the intricacies of AI model interactions. Starting with a solid introduction and setup requirements, this course swiftly moves into hands-on exercises where you'll engage with the ChatGPT API using Python. You'll not only learn about API parameters and endpoints but also how to weave these components into a responsive Python FastAPI service. Transitioning from Python to front-end development, the course empowers you to create a React project, giving life to your ChatGPT clone with engaging styles and functionalities. The journey continues into the nuances of fine-tuning models, where you'll tailor ChatGPT solutions to fit specific needs, offering personalized experiences. The course culminates in strategic model selection, ensuring you're equipped to choose the most effective GPT model for your project's requirements, capped off with a cohesive summary tying all learned concepts together. What you will learn Navigate the setup for ChatGPT API interaction. Create a Python FastAPI for ChatGPT. Construct and style a ChatGPT clone in a React environment. Customize ChatGPT models through fine-tuning techniques. Select the optimal GPT model for specific project needs. Synthesize course knowledge in a comprehensive project. Audience Geared towards Python developers keen on building AI chatbots, and AI and NLP enthusiasts looking to delve into chatbot development, this course suits students and professionals eager for hands-on AI and Python experience. A foundational grasp of Python, React, and basic API interactions is assumed, catering to innovators who want to unlock the potential of conversational AI. About the Author Eduonix Learning Solutions: Eduonix Learning Solutions is at the forefront of technology training, boasting a vast global reach with over 1 million students across 200+ courses. With a rich history spanning over a decade, Eduonix's mission is to deliver industry-standard, high-quality training content created by a team of seasoned industry professionals. Their comprehensive curriculum covers a wide range of technologies, from Web and Mobility to Enterprise, Database, and Server Administration. Eduonix is dedicated to teaching technology in the context of real-world professional applications, ensuring that learners are equipped with the skills needed to excel in today's tech-driven landscape.".
    Note: Online resource; title from title details screen (O'Reilly, viewed April 22, 2024)
    URL: lizenzpflichtig
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  • 52
    Online Resource
    Online Resource
    Matching strings using shell wildcard patterns (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171339 , 1098171330
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python with this Shortcuts collection. Focusing on common problems involving text manipulation, many of these tasks can be solved using built-in methods of strings. More complicated operations may require regular expressions or the creation of a full-fledged parser.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 53
    Online Resource
    Online Resource
    Searching and replacing text (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171360 , 1098171365
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python with this Shortcuts collection. Focusing on common problems involving text manipulation, many of these tasks can be solved using built-in methods of strings. More complicated operations may require regular expressions or the creation of a full-fledged parser.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 54
    Online Resource
    Online Resource
    Fundamentals of observability with OpenTelemetry (2024)
    [Place of publication not identified] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Electronic data processing ; Software engineering ; Big data ; Python (Computer program language) ; Computer programming ; Cloud computing ; Génie logiciel ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: The systems of today are exponentially more complex than the systems of 15, or even 10 years ago. There are way more moving parts and interactions to keep track of, sometimes leading to systems behaving in very unpredictable ways. In the past, Software Engineers and Site Reliability Engineers (SREs) could rely on logging and monitoring to make sense of their systems. This is no longer the case. The good news is that Observability can help. In this course, you will learn about how Observability can help SREs and Software Engineers make sense of what's going on in their systems. You will also learn about OpenTelemetry: what it is, how it supports Observability goals, how OpenTelemetry instrumentation works, and how the OpenTelemetry Collector and OpenTelemetry Operator further enhance OpenTelemetry's capabilities. You will put OpenTelemetry theory into practice with hands-on exercises which include instrumenting a Python application with OpenTelemetry, configuring the OpenTelemetry Collector, and deploying and configuring the OpenTelemetry Kubernetes Operator. Finally, you will learn what pitfalls to avoid when setting up an Observability practice, to ensure that you and your teams are positioned for success, and explore some advanced Observability use cases supported by OpenTelemetry. What you'll learn and how you can apply it Understand what Observability is, and why it is an important practice for SREs and software engineers Understand how OpenTelemetry helps to achieve Observability, and understand the basic building blocks required to instrument an application Understand the value of the OpenTelemetry Collector, and how to configure and deploy it Understand the value of the OpenTelemetry Operator, and how to configure and deploy it Quickly see OpenTelemetry in action in a complex ecosystem by running the OpenTelemetry Demo App Use OpenTelemetry to instrument a simple Python application and send traces to an Observability back-end via the OpenTelemetry Collector Understand what pitfalls to avoid in order to run a successful Observability practice Understand additional ways in which OpenTelemetry can help achieve Observability This course is for you because... You're a Site Reliability Engineer looking to improve the reliability of your systems. You're a Software Engineer looking to improve the debuggability of your code. Prerequisites: Familiarity with Linux Working knowledge of Python programming Docker fundamentals Git fundamentals Kubernetes fundamentals, including deploying applications to Kubernetes.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 2, 2024)
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  • 55
    Online Resource
    Online Resource
    Discover Data Science with Python Essentials : Data Acquisition and Visualization with Machine Learning (2024)
    [Place of publication not identified] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Computer programming ; Python (Langage de programmation) ; Apprentissage automatique ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: In this course, you will learn to use Python for data science and gain the essential skills to analyze and visualize data effectively. Whether you are a data analyst, data scientist, business analyst, or data engineer, this course will provide you with the knowledge and tools to excel in your role. Python is a versatile language that offers powerful libraries for data manipulation, visualization, and machine learning, making it the go-to choice for data professionals. The course solves the problem of understanding and leveraging Python's capabilities for data science by providing business use cases. You will learn to use popular Python libraries such as Pandas, Matplotlib, Seaborn, and Scikit-learn to analyze and visualize data, perform statistical analysis, and build predictive models. By the end of the course, you will have a solid foundation in Python for data science and be ready to apply your skills to real-world projects. What you'll learn and how you can apply it Upon completion of this course, learners will be able to: Apply Python programming concepts for data analysis and visualization Manipulate and analyze data using Pandas Create informative and visually appealing data visualizations using Matplotlib and Seaborn Perform statistical analysis to gain insights from the data Build and evaluate machine learning models for predictive analytics This course is for you because... You're a Python beginner who wants to learn how to manage data with Python. You're a traditional data analyst who has experience with tools like Excel and Tableau, but wants to learn how to manage data with Python. You're a finance, healthcare, ecommerce, or manufacturing/logistics professional looking to become adept in Python and data science. Prerequisites No prior knowledge of Python or Data analytics is needed. All course files can be accessed in this GitHub repository.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
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  • 56
    Online Resource
    Online Resource
    The art of randomness : using randomized algorithms in the real world (2024)
    San Francisco : No Starch Press
    Details
    ISBN: 9781718503250 , 1718503253
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 519.2/3
    Keywords: Algorithms ; Numbers, Random ; Python (Computer program language) ; Algorithmes ; Nombres aléatoires ; Python (Langage de programmation) ; algorithms ; Algorithms ; Numbers, Random ; Python (Computer program language)
    Abstract: "The Art of Randomness teaches readers to harness the power of randomness (and Python code) to solve real-world problems in programming, science, and art through hands-on experiments-from simulating evolution to encrypting messages to making machine-learning algorithms. Each chapter describes how randomness plays into the given topic area, then proceeds to demonstrate its problem-solving role with hands-on experiments to work through using Python code"--
    Note: Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher; resource not viewed
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  • 57
    Online Resource
    Online Resource
    Learn Python the hard way : a deceptively simple introduction to the terrifyingly beautiful world of computers and data science (2024)
    Hoboken, New Jersey : Addison-Wesley Professional
    Details
    Language: English
    Pages: 1 online resource (352 pages) , illustrations
    Edition: Fifth edition.
    Series Statement: Zed Shaw's Hard way series
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming
    Abstract: Zed Shaw has created the world's most reliable system for learning Python. Follow it and you will succeed--just like the millions of beginners Zed has taught to date! You bring the discipline, persistence, and attention; the author supplies the masterful knowledge you need to succeed. In Learn Python the Hard Way, Fifth Edition, you'll learn Python by working through 60 lovingly crafted exercises. Read them. Type in the code. Run it. Fix your mistakes. Repeat. As you do, you'll learn how a computer works, how to solve problems, and how to enjoy programming...even when it's driving you crazy.
    Note: Includes bibliographical references and index
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  • 58
    Online Resource
    Online Resource
    Mastering REST APIs with FastAPI (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835464694 , 1835464696
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application program interfaces (Computer software) ; Software architecture ; Python (Computer program language) ; Interfaces de programmation d'applications ; Architecture logicielle ; Python (Langage de programmation) ; APIs (interfaces) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This course offers a detailed exploration of FastAPI, a cutting-edge Python framework for API development. The course starts with basic API and REST principles, quickly advancing to practical application for a thorough understanding of both theory and practice. The curriculum progresses logically, starting with the basics of FastAPI, including app setup, API routing, linting, and formatting. Participants will create a social media API, manage post and comments, and learn code organization with APIRouter, followed by practical testing experience using pytest. A significant portion of the course focuses on asynchronous databases, vital for scalable application development. It covers database setup, connection, and integration within FastAPI. The course also delves into Python logging techniques, crucial for debugging and monitoring FastAPI applications. It also covers user authentication, an essential element in modern web apps. It includes practical training on JWTs, password hashing, authentication management, and database user relationships, alongside addressing many-to-many database relationships and user email confirmation strategies. In later stages, the course addresses advanced topics like file uploads, background image generation tasks, and deployment methodologies, including continuous integration with GitHub Actions. What you will learn Build and structure a FastAPI application Implement and test RESTful APIs with FastAPI Manage asynchronous database operations Configure and utilize Python logging in FastAPI Secure applications with user authentication and JWTs Handle complex database relationships Deploy FastAPI applications and manage them effectively Audience This course is ideal for aspiring back-end developers, testers looking to integrate automation into their workflows, and front-end developers seeking a deeper understanding of server-side processes. This course will particularly benefit those with a basic grasp of programming and a desire to specialize in the fast-paced realm of web development, API construction, and database management using FastAPI. Prior programming experience in any language is recommended; beginners should consider a basic Python course first, as all required software is provided for free. About the Author Jose Salvatierra Fuentes: Jose, a passionate educator in the realm of coding and software development, has dedicated over 7 years to teaching online. He founded Teclado with a vision to democratize software development education, striving to ensure comprehensive understanding for his students. His approach makes learning coding a clear, rewarding journey, connecting the dots that once seemed obscure. Specializing in Python and JavaScript, Jose excels in web and backend development. He's proficient in various libraries and frameworks, including Flask, React, React Native, and AngularJS. His expertise extends to working with UNIX systems, MongoDB, PostgreSQL, and crafting advanced system architectures. Jose's commitment is to make the learning process both efficient and enjoyable, guiding students to mastery in software development.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 59
    Online Resource
    Online Resource
    Hypermodern Python tooling : building reliable workflows for an evolving Python ecosystem (2024)
    Sebastopol, CA : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (300 pages) , illustrations
    Edition: First edition.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming
    Abstract: Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, Nox, GitHub Actions, Dependabot, pytest, mypy, pre-commit, Black, Ruff, and more. Author Claudio Jolowicz shows you how to create robust Python project structures complete with unit tests, static analysis, code formatting, type checking, and documentation as well as continuous integration and delivery.
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  • 60
    Online Resource
    Online Resource
    Beginning anomaly detection using Python-based deep learning : implement anomaly detection applications with Keras and PyTorch (2024)
    New York, NY : Apress
    Details
    ISBN: 9798868800085
    Language: English
    Pages: 1 online resource (538 pages) , illustrations
    Edition: Second edition.
    Parallel Title: Erscheint auch als
    Keywords: Anomaly detection (Computer security) ; Python (Computer program language) ; Machine learning ; Détection d'anomalies (Sécurité informatique) ; Python (Langage de programmation) ; Apprentissage automatique
    Abstract: This beginner-oriented book will help you understand and perform anomaly detection by learning cutting-edge machine learning and deep learning techniques. This updated second edition focuses on supervised, semi-supervised, and unsupervised approaches to anomaly detection. Over the course of the book, you will learn how to use Keras and PyTorch in practical applications. It also introduces new chapters on GANs and transformers to reflect the latest trends in deep learning. Beginning Anomaly Detection Using Python-Based Deep Learning begins with an introduction to anomaly detection, its importance, and its applications. It then covers core data science and machine learning modeling concepts before delving into traditional machine learning algorithms such as OC-SVM and Isolation Forest for anomaly detection using scikit-learn. Following this, the authors explain the essentials of machine learning and deep learning, and how to implement multilayer perceptrons for supervised anomaly detection in both Keras and PyTorch. From here, the focus shifts to the applications of deep learning models for anomaly detection, including various types of autoencoders, recurrent neural networks (via LSTM), temporal convolutional networks, and transformers, with the latter three architectures applied to time-series anomaly detection. This edition has a new chapter on GANs (Generative Adversarial Networks), as well as new material covering transformer architecture in the context of time-series anomaly detection. After completing this book, you will have a thorough understanding of anomaly detection as well as an assortment of methods to approach it in various contexts, including time-series data. Additionally, you will have gained an introduction to scikit-learn, GANs, transformers, Keras, and PyTorch, empowering you to create your own machine learning- or deep learning-based anomaly detectors. What You Will Learn Understand what anomaly detection is, why it it is important, and how it is applied Grasp the core concepts of machine learning. Master traditional machine learning approaches to anomaly detection using scikit-kearn. Understand deep learning in Python using Keras and PyTorch Process data through pandas and evaluate your model's performance using metrics like F1-score, precision, and recall Apply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applications Who This Book Is For Data scientists and machine learning engineers of all levels of experience interested in learning the basics of deep learning applications in anomaly detection.
    Note: Includes index
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  • 61
    Online Resource
    Online Resource
    Quantum computing by practice : Python programming in the cloud with Qiskit and IBM-Q (2024)
    New York, NY : Apress
    Details
    ISBN: 9781484299913 , 1484299914
    Language: English
    Pages: 1 online resource (xxii, 403 pages) , illustrations
    Edition: 2nd ed.
    Parallel Title: Erscheint auch als
    Keywords: Quantum computing ; Python (Computer program language) ; Informatique quantique ; Python (Langage de programmation)
    Abstract: Learn to write algorithms and program in the new field of quantum computing. This second edition is updated to equip you with the latest knowledge and tools needed to be a complex problem-solver in this ever-evolving landscape. The book has expanded its coverage of current and future advancements and investments by IT companies in this emerging technology. Most chapters are thoroughly revised to incorporate the latest updates to IBM Quantum's systems and offerings, such as improved algorithms, integrating hardware advancements, software enhancements, bug fixes, and more. You'll examine quantum computing in the cloud and run experiments there on a real quantum device. Along the way you'll cover game theory with the Magic Square, an example of quantum pseudo-telepathy. You'll also learn to write code using QISKit, Python SDK, and other APIs such as QASM and execute it against simulators (local or remote) or a real quantum computer. Then peek inside the inner workings of the Bell states for entanglement, Grover's algorithm for linear search, Shor's algorithm for integer factorization, and other algorithms in the fields of optimization, and more. Finally, you'll learn the current quantum algorithms for entanglement, random number generation, linear search, integer factorization, and others. By the end of this book, you'll understand how quantum computing provides massive parallelism and significant computational speedups over classical computers What You'll Learn Write algorithms that provide superior performance over their classical counterparts Create a quantum number generator: the quintessential coin flip with a quantum twist Examine the quantum algorithms in use today for random number generation, linear search, and more Discover quantum teleportation Handle the counterfeit coin problem, a classic puzzle Put your knowledge to the test with more than 150 practice exercises Who This Book Is For Developers, programmers, computer science researchers, teachers, and students.
    Note: Description based upon print version of record
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  • 62
    Online Resource
    Online Resource
    Python Polars : the definitive guide : a blazingly fast, multi-threaded, elegant API for data loading, manipulation, and processing (2024)
    Sebastopol, CA : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (400 pages) , illustrations
    Edition: First edition.
    DDC: 005.7
    Keywords: Big data ; Data mining ; Python (Computer program language) ; Données volumineuses ; Exploration de données (Informatique) ; Python (Langage de programmation)
    Abstract: Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing. With this hands-on guide, you'll walk through every aspect of Polars and learn how to tackle practical use cases using real-world datasets. Jeroen Janssens and Thijs Nieuwdorp from Xomnia in Amsterdam show you how this superfast DataFrame library is perfect for efficient data wrangling, ETL pipelines, and so much more. This book helps you quickly learn the syntax and understand Polars' underlying concepts. You don't need to have experience with pandas or Spark, but if you do, this book will help you make a smooth transition.
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  • 63
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    Online Resource
    Official next Js tutorial code along : React web development (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835463444 , 1835463444
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 14 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/6
    Keywords: Web site development Computer programs ; Application software Development ; Python (Computer program language) ; Sites Web ; Systèmes-auteur ; Logiciels d'application ; Développement ; Python (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Next.js is a popular open-source JavaScript framework designed to make web development with React efficient and scalable. Next.js adds layers of abstraction to React and simplifies the process of building modern web applications. It provides a set of conventions and features that enhance the development experience, making it easier to create performant and SEO-friendly applications. This comprehensive Next.js course unfolds by beginning with an introduction to web development fundamentals, as it progresses through React basics, advanced Next.js concepts, and real-world deployment strategies. We will explore key topics such as server-side rendering (SSR), client-side rendering (CSR), static site generation (SSG), and incremental static regeneration (ISR). The course offers hands-on experience with a final project, covering everything from structuring applications to optimizing for performance and SEO. The modular format accommodates varying skill levels, ensuring a well-rounded and practical learning experience for all learners. Upon completion of this Next.js course, you will become proficient in web development fundamentals, React essentials, and advanced Next.js concepts. Through hands-on experience, master server-side rendering, client-side rendering, dynamic routing, and performance and scalability in real-world scenarios. What you will learn Master SSR, CSR, and SSG for optimized web development Explore React basics and advanced component development in Next.js Implement Next.js best practices for efficient and scalable web applications Learn to create dynamic routes for versatile content handling Deploy fully functional applications using Vercel and Git/GitHub workflows Enhance applications for search engines and social platforms through metadata and SEO practices Audience This Next.js course is tailored for a diverse audience, catering to both entry-level and seasoned developers. Ideal for junior developers, it provides a strong foundation in web development fundamentals, React basics, and advanced Next.js concepts. Intermediate developers can enhance their skills and gain mastery in the latest features of Next.js. Senior web developers seeking to stay updated with modern concepts will find valuable insights for optimizing web applications. No programming experience is required, but basic web development and JavaScript understanding is desirable for the course. About the Author Clarian North: Clarian North is a recognized industry-certified instructor, CEO of Orbital LLC, and a senior project engineer with over 90K enrolments worldwide. His students have gone on to work for some of the biggest production companies such as Universal, Google, Amazon, Warner, and the BBC. He has contributed to viral streams, grown a unique digital imprint in over 80 countries, and been featured in Rolling Stone, Billboard, Guardian, Bloomberg, and Vice. He has worked for majors, indies, and international publishing houses, including Grammy-nominated and award-winning productions, mixing for Emirates Airline Inflight Radio, and producing for Kompakt Records. He is dedicated to giving accessible and comprehensive tech courses, teaching complex subject matter with clear and example-based explanations, and guiding students through complex techniques with just a computer and free software.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 31, 2024)
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    Online Resource
    MicroPython for the Internet of Things : A Beginner's Guide to Programming with Python on Microcontrollers (2024)
    Berkeley, CA : Apress L. P.
    Details
    ISBN: 9781484298619 , 1484298616
    Language: English
    Pages: 1 online resource (578 p.)
    Edition: 2nd ed.
    Parallel Title: Erscheint auch als
    Keywords: Python (Computer program language) ; Microcontrollers ; Computer programming ; Python (Langage de programmation) ; Microcontrôleurs ; Programmation (Informatique) ; computer programming
    Abstract: This book will help you quickly learn to program for microcontrollers and IoT devices without a lot of study and expense. MicroPython and controllers that support it eliminate the need for programming in a C-like language, making the creation of IoT applications and devices easier and more accessible than ever. MicroPython for the Internet of Things is ideal for readers new to electronics and the world of IoT. Specific examples are provided covering a range of supported devices, sensors, and MicroPython boards such as the Raspberry Pi Pico and the Arduino Nano Connect RP2040 board. Programming for microcontrollers has never been easier. The book takes a practical and hands-on approach without a lot of detours into the depths of theory. It'll show you a faster and easier way to program microcontrollers and IoT devices, teach you MicroPython, a variant of one of the most widely used scripting languages, and is written to be accessible to those new to electronics. After completing this book, and its fun example projects, you'll be ready to ready to use MicroPython to develop your own IoT applications. What You Will Learn Program in MicroPython Understand sensors and basic electronics Develop your own IoT projects Build applications for popular boards such as Raspberry Pi Pico and Arduino Nano Connect RP2040 Load MicroPython on compatible boards Interface with hardware breakout boards Connect hardware to software through MicroPython Explore connecting your microcontroller to the cloud Develop IoT projects for the cloud Who This Book Is For Anyone interested in building IoT solutions without the heavy burden of programming in C++ or C. The book also appeals to those wanting an easier way to work with hardware than is provided by platforms that require more complex programming environments.
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    Online Resource
    Prototyping Python Dashboards for Scientists and Engineers : Build and Deploy a Complete Dashboard with Python (2024)
    Berkeley, CA : Apress L. P.
    Details
    ISBN: 9798868802218
    Language: English
    Pages: 1 online resource (220 p.)
    Parallel Title: Erscheint auch als
    Keywords: Application software Development ; Information visualization ; Python (Computer program language) ; Dashboards (Management information systems) ; Logiciels d'application ; Développement ; Visualisation de l'information ; Python (Langage de programmation) ; Tableaux de bord (Gestion)
    Abstract: Create interactive and data-driven dashboards using Python. This hands-on guide is a practical resource for those (with modest programming skills) in scientific and engineering fields looking to leverage Python's power for data visualization and analysis in a user-friendly dashboard format. You'll begin by gaining a fundamental understanding of Python programming, including data types, lists, dictionaries, and data structures. The book then delves into the world of reactive programming with Plotly and Dash, offering a hands-on approach to building interactive web-based dashboards. Next, you'll see how to work with online data, how to scrape and clean datasets, and keep files up-to-date. The book also guides you through planning a dashboard prototype, outlining project tasks, trends, forecasts, spectra, and other design considerations. It concludes with a discussion of how the dashboard can be used for data visualization of real data, explaining the usefulness of tools such as spectra. By providing detailed examples for download and customization, Prototyping Python Dashboards for Scientists and Engineers will equip you with the skills needed to jumpstart your own development efforts. What You'll Learn Design a dashboard with Python Convert and filter Excel formatted files to produce CSV files Create browser-served graphics with PLOTLY Generate polynomial trend lines for forecasting Build a Unix service to share your dashboard Who This Book Is For Scientists, engineers, students, programmers, and data enthusiasts who aspire to harness Python's potential for data visualization and analysis through the creation of interactive dashboards. Many will be pragmatic programmers with modest skills and limited resources who mainly want to see a working solution they could emulate.
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    The complete LangChain & LLMs guide (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835885925 , 1835885926
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6
    Keywords: Artificial intelligence ; Computer programming ; Chatbots ; Application program interfaces (Computer software) ; Python (Computer program language) ; Intelligence artificielle ; Programmation (Informatique) ; Interfaces de programmation d'applications ; Python (Langage de programmation) ; artificial intelligence ; computer programming ; APIs (interfaces) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This comprehensive masterclass takes you on a transformative journey into the realm of LangChain and Large Language Models, equipping you with the skills to build autonomous AI tools. Starting with the basics, you'll set up your development environment, including OpenAI API and Python, and progress to advanced topics like LangChain's architecture, prompt templates, and parsers. The course meticulously guides you through creating complex chains, memory models, and agents, culminating in the development of practical applications such as PDF extractors, newsletter generators, and multi-document chatbots. With hands-on tutorials, you'll learn to leverage LangChain for tasks ranging from document loading and splitting to embedding vector stores for semantic similarity searches. By the end, you'll have the knowledge to implement AI in creative and impactful ways, from image-to-text conversion to building interactive chatbots and more, all while navigating the ethical considerations of AI deployment. What you will learn Configure OpenAI API and Python for AI development Create and manipulate LangChain prompt templates and parsers Implement LangChain memory models and chains for complex AI applications Develop real-world applications, including newsletter generators and chatbots Work with LangChain embeddings and vector stores for semantic searches Navigate the ethical and copyright implications of AI-generated content Audience This course is designed for a broad audience interested in artificial intelligence, from data scientists enhancing projects with AI and LangChain, to product managers boosting user experience with AI features. AI enthusiasts, tech innovators, and programmers will deepen their understanding of LangChain, unlocking new opportunities in AI-driven development and pioneering next-gen solutions. While specific knowledge of Python is not necessary, familiarity with programming concepts is essential. About the Author Paulo Dichone: Paulo Dichone, a seasoned software engineer and AWS Cloud Practitioner, is renowned for his expertise in Android, Flutter, and AWS, as well as being a best-selling instructor. Paulo has successfully imparted his knowledge to over 200,000 students across 175 countries, specializing in mobile app development for Android and iOS, web development, and AWS Cloud. His teaching philosophy centers on empowering students to excel as developers and AWS cloud practitioners, regardless of their prior experience. Beyond his professional pursuits, Paulo is devoted to his family, enjoys playing the guitar and mandolin, and loves to travel. He is committed to guiding students to achieve their highest potential in the tech industry.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 67
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    Online Resource
    The Routledge Handbook of Ecomedia Studies (2024)
    [Erscheinungsort nicht ermittelbar] : Taylor & Francis | The Hague : OAPEN FOUNDATION
    Details
    ISBN: 9781003176497 , 9781032009445 , 9781032009421
    Language: English
    Pages: 1 Online-Ressource (397 p.)
    Series Statement: Routledge Environment and Sustainability Handbooks
    DDC: 302.23
    Keywords: Media studies ; Political structure & processes ; ecocultures;ecomateriality;eco-affects;environmental communication;environmental humanities;materiality;political ecology ; Electronic books. ; Electronic books
    Abstract: The Routledge Handbook of Ecomedia Studies gathers leading work by critical scholars in this burgeoning field. Redressing the lack of environmental perspectives in the study of media, ecomedia studies asserts that media are in and about the environment, and environments are socially and materially mediated. The book gives form to this new area of study and brings together diverse scholarly contributions to explore and give definition to the field. The Handbook highlights five critical areas of ecomedia scholarship: ecomedia theory, ecomateriality, political ecology, ecocultures, and eco-affects. Within these areas, authors navigate a range of different topics including infrastructures, supply and manufacturing chains, energy, e-waste, labor, ecofeminism, African and Indigenous ecomedia, environmental justice, environmental media governance, ecopolitical satire, and digital ecologies. The result is a holistic volume that provides an in-depth and comprehensive overview of the current state of the field, as well as future developments. This volume will be an essential resource for students, educators, and scholars of media studies, cultural studies, film, environmental communication, political ecology, science and technology studies, and the environmental humanities. The Open Access version of this book, available at www.taylorfrancis. com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
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    Online Resource
    Online Resource
    Replacing single method classes with functions (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171636 , 1098171632
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Langage de programmation)
    Abstract: Build your knowledge of Python, the world’s favorite programming language, with this Shortcuts collection. These recipes address a range of well-known and more advanced function definitions, as well as common programming patterns for class and object definitions.
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  • 69
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    Online Resource
    Working with Unicode characters in regular expressions (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098171414 , 1098171411
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: [First edition].
    Series Statement: Shortcuts
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Unicode (Computer character set) ; Python (Langage de programmation) ; Unicode (Jeu de caractères)
    Abstract: Build your knowledge of Python with this Shortcuts collection. Focusing on common problems involving text manipulation, many of these tasks can be solved using built-in methods of strings. More complicated operations may require regular expressions or the creation of a full-fledged parser.
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    Deep learning for finance : creating machine & deep learning models for trading in Python (2024)
    [Place of publication not identified] : Ascent Audio
    Details
    ISBN: 9781663735577 , 1663735573
    Language: English
    Pages: 1 online resource (1 sound file (10 hr., 15 min.))
    Edition: [First edition].
    DDC: 332.64/20285
    Keywords: Electronic trading of securities ; Deep learning (Machine learning) ; Python (Computer program language) ; Valeurs mobilières ; Commerce électronique ; Apprentissage profond ; Python (Langage de programmation) ; Audiobooks ; Livres audio
    Abstract: Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar-financial author, trading consultant, and institutional market strategist-introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. This book will help you to understand and create machine learning and deep learning models; explore the details behind reinforcement learning and see how it's used in time series; understand how to interpret performance evaluation metrics; examine technical analysis and learn how it works in financial markets; create technical indicators in Python and combine them with ML models for optimization; and evaluate the models' profitability and predictability to understand their limitations and potential.
    Note: Online resource; title from title details screen (O’Reilly, viewed April 29, 2024)
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    Python and TensorFlow : deep dive into machine learning (2024)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Python (Langage de programmation) ; Apprentissage automatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This intensive program is designed for both beginners eager to dive into the world of data science and seasoned professionals looking to deepen their understanding of machine learning, deep learning, and TensorFlow's capabilities. Starting with Python—a cornerstone of modern AI development—we'll guide you through its essential features and libraries that make data manipulation and analysis a breeze. As we delve into machine learning, you'll learn the foundational algorithms and techniques, moving seamlessly from supervised to unsupervised learning, paving the way for the magic of deep learning. With TensorFlow, one of the most dynamic and widely-used deep learning frameworks, we'll uncover how to craft sophisticated neural network architectures, optimize models, and deploy AI-powered solutions. We don't just want you to learn—we aim for you to master. By the course's end, you'll not only grasp the theories but also gain hands-on experience, ensuring that you're industry ready. Whether you aspire to innovate in AI research or implement solutions in business settings, this comprehensive course promises a profound understanding, equipping you with the tools and knowledge to harness the power of Python, Machine Learning, and TensorFlow.
    Note: Online resource; title from title details screen (O’Reilly, viewed May 7, 2024)
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    The art of reinforcement learning : fundamentals, mathematics, and implementations with Python (2023)
    New York, NY : Apress
    Details
    ISBN: 9781484296066 , 1484296060
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    Keywords: Reinforcement learning ; Feedback control systems ; Python (Computer program language) ; Apprentissage par renforcement (Intelligence artificielle) ; Systèmes à réaction ; Python (Langage de programmation)
    Abstract: Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide. This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop a thorough understanding of this cutting-edge technology. Beginning with an overview of fundamental concepts such as Markov decision processes, dynamic programming, Monte Carlo methods, and temporal difference learning, this book uses clear and concise examples to explain the basics of RL theory. The following section covers value function approximation, a critical technique in RL, and explores various policy approximations such as policy gradient methods and advanced algorithms like Proximal Policy Optimization (PPO). This book also delves into advanced topics, including distributed reinforcement learning, curiosity-driven exploration, and the famous AlphaZero algorithm, providing readers with a detailed account of these cutting-edge techniques. With a focus on explaining algorithms and the intuition behind them, The Art of Reinforcement Learning includes practical source code examples that you can use to implement RL algorithms. Upon completing this book, you will have a deep understanding of the concepts, mathematics, and algorithms behind reinforcement learning, making it an essential resource for AI practitioners, researchers, and students. What You Will Learn Grasp fundamental concepts and distinguishing features of reinforcement learning, including how it differs from other AI and non-interactive machine learning approaches Model problems as Markov decision processes, and how to evaluate and optimize policies using dynamic programming, Monte Carlo methods, and temporal difference learning Utilize techniques for approximating value functions and policies, including linear and nonlinear value function approximation and policy gradient methods Understand the architecture and advantages of distributed reinforcement learning Master the concept of curiosity-driven exploration and how it can be leveraged to improve reinforcement learning agents Explore the AlphaZero algorithm and how it was able to beat professional Go players Who This Book Is For Machine learning engineers, data scientists, software engineers, and developers who want to incorporate reinforcement learning algorithms into their projects and applications.
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  • 73
    Online Resource
    Online Resource
    Learning geospatial analysis with Python : unleash the power of Python 3 with practical techniques for learning GIS and remote sensing (2023)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781837636853 , 1837636850 , 9781837639175
    Language: English
    Pages: 1 online resource (432 pages) , illustrations
    Edition: Fourth edition.
    DDC: 910.285
    Keywords: Geospatial data ; Python (Computer program language) ; Données géospatiales ; Python (Langage de programmation)
    Abstract: Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python. This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you’ll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You’ll also learn how to leverage Python to process real-time data and create valuable information products. By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.
    Note: Includes bibliographical references and index
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  • 74
    Online Resource
    Online Resource
    Hands-on application development with PyCharm : build applications like a pro with the ultimate Python development tool (2023)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781837632350
    Language: English
    Pages: 1 online resource (652 pages) , illustrations
    Edition: Second edition.
    DDC: 005
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming
    Abstract: In the quest to develop robust, professional-grade software with Python and meet tight deadlines, it’s crucial to have the best tools at your disposal. In this second edition of Hands-on Application Development with PyCharm, you’ll learn tips and tricks to work at a speed and proficiency previously reserved only for elite developers. To achieve that, you’ll be introduced to PyCharm, the premiere professional integrated development environment for Python programmers among the myriad of IDEs available. Regardless of how Python is utilized, whether for general automation scripting, utility creation, web applications, data analytics, machine learning, or business applications, PyCharm offers tooling that simplifies complex tasks and streamlines common ones. In this book, you'll find everything you need to harness PyCharm's full potential and make the most of Pycharm's productivity shortcuts. The book comprehensively covers topics ranging from installation and customization to web development, database management, and data analysis pipeline development helping you become proficient in Python application development in diverse domains. By the end of this book, you’ll have discovered the remarkable capabilities of PyCharm and how you can achieve a new level of capability and productivity. This book is for Python practitioners and learners looking to boost their productivity and proficiency by harnessing the features and capabilities of PyCharm, all while gaining insights into best practices for modern application development. Basic knowledge of Python is required, making the book accessible to both newcomers and experienced Python developers.
    Note: Includes index
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  • 75
    Online Resource
    Online Resource
    Python Deep Learning : understand how deep neural networks work and apply them to real-world tasks (2023)
    Birmingham : Packt Publishing
    Details
    ISBN: 1837633452 , 9781837633456
    Language: English
    Pages: 1 online resource
    Edition: 3rd edition.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Neural networks (Computer science) ; Python (Langage de programmation) ; Apprentissage automatique ; Réseaux neuronaux (Informatique)
    Abstract: Master effective navigation of neural networks, including convolutions and transformers, to tackle computer vision and NLP tasks using Python Key Features Understand the theory, mathematical foundations and the structure of deep neural networks Become familiar with transformers, large language models, and convolutional networks Learn how to apply them on various computer vision and natural language processing problems Purchase of the print or Kindle book includes a free PDF eBook Book Description The field of deep learning has developed rapidly recently and today covers a broad range of applications. This makes it challenging to navigate and hard to understand without solid foundations. This book will guide you from the basics of neural networks to the state-of-the-art large language models in use today. The first part of the book introduces the main machine learning concepts and paradigms. It covers the mathematical foundations, the structure, and the training algorithms of neural networks and dives into the essence of deep learning. The second part of the book introduces convolutional networks for computer vision. We'll learn how to solve image classification, object detection, instance segmentation, and image generation tasks. The third part focuses on the attention mechanism and transformers - the core network architecture of large language models. We'll discuss new types of advanced tasks they can solve, such as chatbots and text-to-image generation. By the end of this book, you'll have a thorough understanding of the inner workings of deep neural networks. You'll have the ability to develop new models and adapt existing ones to solve your tasks. You'll also have sufficient understanding to continue your research and stay up to date with the latest advancements in the field. What you will learn Establish theoretical foundations of deep neural networks Understand convolutional networks and apply them in computer vision applications Become well versed with natural language processing and recurrent networks Explore the attention mechanism and transformers Apply transformers and large language models for natural language and computer vision Implement coding examples with PyTorch, Keras, and Hugging Face Transformers Use MLOps to develop and deploy neural network models Who this book is for This book is for software developers/engineers, students, data scientists, data analysts, machine learning engineers, statisticians, and anyone interested in deep learning. Prior experience with Python programming is a prerequisite.
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  • 76
    Online Resource
    Online Resource
    Applied computational thinking with Python : algorithm design for complex real-world problems (2023)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781837631087 , 1837631085 , 9781837632305
    Language: English
    Pages: 1 online resource (438 pages) , illustrations
    Edition: Second edition.
    DDC: 006.3/1
    Keywords: Computational learning theory ; Python (Computer program language) ; Théorie de l'apprentissage informatique ; Python (Langage de programmation)
    Abstract: Computational thinking helps you to develop logical processing and algorithmic thinking while solving real-world problems across a wide range of domains. It's an essential skill that you should possess to keep ahead of the curve in this modern era of information technology. Developers can apply their knowledge of computational thinking to solve problems in multiple areas, including economics, mathematics, and artificial intelligence. This book begins by helping you get to grips with decomposition, pattern recognition, pattern generalization and abstraction, and algorithm design, along with teaching you how to apply these elements practically while designing solutions for challenging problems. You’ll then learn about various techniques involved in problem analysis, logical reasoning, algorithm design, clusters and classification, data analysis, and modeling, and understand how computational thinking elements can be used together with these aspects to design solutions. Toward the end, you will discover how to identify pitfalls in the solution design process and how to choose the right functionalities to create the best possible algorithmic solutions. By the end of this algorithm book, you will have gained the confidence to successfully apply computational thinking techniques to software development.
    Note: Includes index
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  • 77
    Online Resource
    Online Resource
    Skill up with Python : introduction (2023)
    [Place of publication not identified] : Pearson
    Details
    ISBN: 9780138297671 , 0138297673
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 54 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: 4 Hours of Video Instruction Explore the fundamentals of Python syntax, data types, control flow, and functions while constructing projects. Overview: Python is like a Swiss Army knife for programming. It's a versatile and powerful language that can be used for a wide range of tasks. Just like a Swiss Army knife has various tools that help you in different situations, Python has a toolbox of features and libraries that make it useful for different purposes. It's also widely recognized as the best programming language for beginners due to its wide range of uses and straightforward syntax. Python's versatility and large community support make it an excellent language for beginners to kickstart their programming journey. Skill Up with Python is a beginner course that offers a hands-on approach to learning Python by building a series of practical projects from scratch. Related Learning: Watch and learn from Shaun's other videos: Functional Programming Project with Python 3 (Video Course) Please don't hesitate to get in touch with him about any opportunities or if you'd like to stay up to date on his other courses and live trainings. About the Instructor: Shaun Wassell is a Senior Software Developer who specializes in full-stack development and software architecture. He manages teams of developers, as well as teaches many hundreds of thousands more how to create enterprise-ready applications. Shaun's online courses have over 300,000 learners largely because of his passion for development and his focus on helping people apply their programming skills in the real world. He is a life-long programmer and problem-solving addict whose goal is to help people solve meaningful problems by mastering the art of software development. Skill Level: Beginner What You Will Learn: Practical and Hands-On Learning Experience: Learners are provided with the opportunity to build real-world projects, enabling them to apply their knowledge immediately. Creative and Engaging Approach: By building a variety of projects across different domains, learners are encouraged to think critically, problem-solve, and apply their creativity. Versatility and Broad Skill Development: The project-based Python course covers a range of projects in different areas. This versatility appeals to learners with diverse interests and career aspirations. Who Should Take This Course: Software Developer Data Analyst/Scientist Machine Learning Engineer Web Developer DevOps Engineer Course Requirements: Some basic knowledge of programming, perhaps some web dev or JavaScript experience. About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
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  • 78
    Online Resource
    Online Resource
    FASTAPI : modern Python web development (2023)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    ISBN: 9781098135478 , 1098135474
    Language: English
    Pages: 1 online resource
    Edition: First edition.
    Parallel Title: Erscheint auch als
    DDC: 005.1068
    Keywords: Application program interfaces (Computer software) ; Software frameworks ; Python (Computer program language) ; Web site development ; Computer programming ; Application software Development ; Software architecture ; Software ; Python (Langage de programmation) ; Programmation (Informatique) ; Logiciels ; Cadres d'applications (Informatique) ; Logiciels d'application - Développement ; Architecture logicielle ; Sites Web - Développement ; computer programming ; software ; Computer programming ; Python (Computer program language) ; handbooks ; Handbooks and manuals ; Handbooks and manuals ; Guides et manuels ; Handbook
    Abstract: FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. This book also includes how-to guides that will get you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI. Through the course of this book, you will: Learn how to build web applications with FastAPI Understand the differences between FastAPI, Starlette, and pydantic Learn two features that set FastAPI apart: asynchronous functions and data type checking and validation Examine new features of Python 3.8+, especially type annotations Understand the differences between sync and async Python Learn how to connect with external APIs and services.
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  • 79
    Online Resource
    Online Resource
    The film photography handbook : rediscovering photography in 35mm, medium, and large format (2023)
    San Rafael, CA : Rocky Nook, Inc.
    Details
    ISBN: 9781681989433 , 1681989433
    Language: English
    Pages: 1 online resource (308 pages) , illustrations
    Edition: 3rd edition.
    DDC: 770
    Keywords: Photography Handbooks, manuals, etc ; Electronic books ; Handbooks and manuals
    Abstract: "Film photography has recently witnessed a significant renaissance-and not just among those who have previously shot with film. Interest in film photography and analog photography has also grown enormously among those who have only ever shot digitally. In The Film Photography Handbook, 3rd Edition, authors Chris Marquardt and Monika Andrae speak to both types of film photographers as they offer an easy-to-understand, complete resource to shooting film. In this updated and expanded edition, they address today's working climate, including such topics as the hybrid film/digital workflow, the digitization of negatives, and using smartphones for light metering and to assist in film processing. This book is intended for anyone who is curious about film and analog photography, whether you need a refresher course or are discovering this wonderful format for the first time. You'll learn how easy it is to shoot and process black-and-white film at home, and that just a little special equipment is needed to get into film photography. You'll learn all about: The important differences between film and digital photography Numerous film cameras, as well as how to buy a secondhand camera Film formats, from 35 mm to medium format and large format Exposure settings, tonal values, and tonal representations in different types of film, from color negatives and slides to the enormous spectrum of black-and-white films Processing film, covering everything you need to know: equipment, chemicals, and workflow Scanning negatives to bring your analog photography into a digital workflow Both presenting and archiving your prints and negatives Working in such an "analog" medium requires a unique approach to photography, and it fosters a completely different form of creativity. Working in film and embracing analog photography can also prove to be a great inspiration for your own digital photography, as well. The Film Photography Handbook, 3rd Edition covers it all-from the technical to the creative-and will have you shooting film in no time, whether it's with an old rangefinder, an inexpensive Holga, or a medium-format Rolleiflex or Hasselblad"--
    Note: Includes bibliographical references
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  • 80
    Online Resource
    Online Resource
    Mastering blockchain : a technical reference guide to the inner workings of blockchain, from cryptography to DeFi and NFTs (2023)
    Birmingham, UK : Packt Publishing Ltd.
    Details
    ISBN: 9781803230214 , 1803230215 , 9781803241067
    Language: English
    Pages: 1 online resource (818 pages) , illustrations
    Edition: Fourth edition.
    Series Statement: Expert insight
    Parallel Title: Erscheint auch als
    DDC: 332.4
    Keywords: Electronic funds transfers ; Blockchains (Databases) ; Bitcoin ; Blockchains (Databases) ; Computer security ; Electronic funds transfers ; Transaction systems (Computer systems) ; Transferts électroniques de fonds ; Chaînes de blocs ; Bitcoin ; Bitcoin ; Electronic books
    Abstract: Demystify one of the most disruptive modern technologies and gain an understanding of distributed ledger technology, consensus protocols, smart contracts, DApps, blockchain scalability, privacy, security, and more. Blockchain is the backbone of cryptocurrencies, with applications in finance, government, media, and more. With a legacy of providing technologists with executable insights, this new edition of Mastering Blockchain is thoroughly revised and updated according to the latest blockchain research. With new chapters on decentralized finance, decentralized identity, blockchain privacy, scalability, security, and bonus online content exploring alternative blockchains, this is an unmissable read for everyone who wants to gain a deep understanding of blockchain. Although this book covers the basics, including blockchain's technical underpinnings, cryptography, and consensus protocols, it doesn't shy away from advanced topics and practical expertise, such as decentralized application (DApp) development using smart contracts. Throughout the book, you'll explore blockchain solutions beyond cryptocurrencies, such as the Internet of Things (IoT) with blockchain, enterprise blockchains, and tokenization, and gain insight into the future scope of this fascinating and disruptive technology. By the end of this blockchain book, you will have gained a thorough understanding of the various facets of blockchain and understand the potential of this technology in diverse real-world scenarios.
    Note: Includes bibliographical references and index
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  • 81
    Online Resource
    Online Resource
    The Propagation of Misinformation in Social Media : A Cross-platform Analysis (2023)
    Amsterdam : Amsterdam University Press | Berlin : Walter de Gruyter GmbH
    Details
    ISBN: 9789048554249
    Language: English
    Pages: 1 Online-Ressource (246 p.)
    DDC: 302.231
    Keywords: Electronic books
    Abstract: There is growing awareness about how social media circulate extreme viewpoints and turn up the temperature of public debate. Posts that exhibit agitation garner disproportionate engagement. Within this clamour, fringe sources and viewpoints are mainstreaming, and mainstream media are marginalized. This book takes up the mainstreaming of the fringe and the marginalization of the mainstream. In a cross-platform analysis of Google Web Search, Facebook, YouTube, Reddit, Twitter, Instagram, 4chan and TikTok, we found that hyperpartisan web operators, alternative influencers and ambivalent commentators are in ascendency. The book can be read as a form of platform criticism. It puts on display the current state of information online, noting how social media platforms have taken on the mantle of accidental authorities, privileging their own on-platform performers and at the same time adjudicating between claims of what is considered acceptable discourse.
    DOI: 10.1515/9789048554249
    URL: kostenfrei
    URL: kostenfrei
    URL: Cover
    URL: kostenfrei
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  • 82
    Online Resource
    Online Resource
    An international collection of multidisciplinary approaches to violence and aggression (2023)
    London : IntechOpen
    Details
    ISBN: 9781803553078 , 9781803553085
    Language: English
    Pages: 1 Online-Ressource (208 pages)
    Parallel Title: Erscheint auch als An international collection of multidisciplinary approaches to violence and aggression
    DDC: 303.6
    Keywords: Violence ; Aggressiveness ; Violence ; Agressivité ; violence ; Aggressiveness ; Violence ; Electronic books. ; Electronic books
    URL: kostenfrei
    URL: kostenfrei
    URL: kostenfrei
    URL: kostenfrei
    URL: View this content on Open Research Library.
    URL: Click here to view book
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  • 83
    Online Resource
    Online Resource
    Go Cookbook (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098122072 , 1098122070
    Language: English
    Pages: 1 online resource (25 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Go (Computer program language) ; Open source software Programming ; Computer programming ; Electronic books ; Go (Langage de programmation) ; Logiciels libres - Programmation ; Programmation (Informatique) ; computer programming
    Abstract: Go is an increasingly popular language for programming everything from web applications to distributed network services. This practical guide provides recipes to help you unravel common problems and perform useful tasks when working with Go. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Programmers new to Go can quickly ramp up their knowledge while accomplishing useful tasks, and experienced Go developers can save time by cutting and pasting proven code directly into their applications. Recipes include: Creating a module; Calling code from another module; Returning and handling an error; Converting strings to numbers (or converting numbers to strings); Modifying multiple characters in a string; Creating substrings from a string; Capturing string input; And so much more.--Back cover
    Note: Online resource; Title from title page (viewed July 25, 2023) , Mode of access: World Wide Web.
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  • 84
    Online Resource
    Online Resource
    Causal inference in Python (2023)
    Sebastopol, CA : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (406 pages) , illustrations
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Python (Computer program language) ; Causation Data processing ; Inference Data processing ; High technology industries Data processing ; Machine learning ; Apprentissage automatique ; Python (Langage de programmation) ; Inférence (Logique) - Informatique ; Industries de pointe - Informatique ; Inference - Data processing ; Machine learning ; Python (Computer program language)
    Abstract: How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference. In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. Each method is accompanied by an application in the industry to serve as a grounding example.
    Note: Includes index
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  • 85
    Online Resource
    Online Resource
    Probabilistic machine learning for finance and investing (2023)
    Sebastopol, CA : O'Reilly Media, Inc.
    Details
    ISBN: 9781492097662 , 1492097667
    Language: English
    Pages: 1 online resource (82 pages) , illustrations
    Edition: Early release, raw & unedited.
    Parallel Title: Erscheint auch als
    DDC: 006.3/1
    Keywords: Investments Mathematical models ; Finance Data processing ; Investments Data processing ; Machine learning ; Probabilities ; Artificial intelligence Financial applications ; Python (Computer program language) ; Investments ; Mathematical models ; Investissements ; Modèles mathématiques ; Investissements - Modèles mathématiques ; Apprentissage automatique ; Probabilités ; Finances - Informatique ; Investissements - Informatique ; Intelligence artificielle - Applications financières ; Python (Langage de programmation) ; probability ; Investments - Mathematical models ; Machine learning ; Probabilities
    Abstract: "Whether based on academic theories or discovered empirically by humans and machines, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. Unlike conventional AI systems, probabilistic machine learning (ML) systems treat errors and uncertainties as features, not bugs. They quantify uncertainty generated from inexact model inputs and outputs as probability distributions, not point estimates. Most importantly, these systems are capable of forewarning us when their inferences and predictions are no longer useful in the current market environment. These ML systems provide realistic support for financial decision-making and risk management in the face of uncertainty and incomplete information. Probabilistic ML is the next generation ML framework and technology for AI-powered financial and investing systems for many reasons. They are generative ensembles that learn continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, prediction and counterfactual reasoning. By moving away from flawed statistical methodologies (and a restrictive conventional view of probability as a limiting frequency), you can embrace an intuitive view of probability as logic within an axiomatic statistical framework that comprehensively and successfully quantifies uncertainty. This book shows you why and how to make that transition."--
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  • 86
    Book
    Book
    Naked fieldnotes : a rough guide to ethnographic writing (2023)
    Minneapolis : University of Minnesota Press
    Details
    ISBN: 9781517916145 , 9781517916138
    Language: English
    Pages: xliii, 320 Seiten , Illustrationen, Karte
    Parallel Title: Erscheint auch als
    DDC: 808.06/63058
    RVK:
    LB 33000
    Keywords: Notiz ; Feldforschung ; Aufzeichnung ; Ethnology / Authorship / Case studies ; Ethnology / Fieldwork / Case studies ; Ethnologie / Recherche sur le terrain / Études de cas ; SOCIAL SCIENCE / Methodology ; Ethnology / Authorship ; Ethnology / Fieldwork ; Electronic books ; Case studies ; Aufsatzsammlung ; Feldforschung ; Notiz ; Aufzeichnung
    Abstract: "Unlocking the experience of conducting qualitative research, Naked Fieldnotes pairs fieldnotes based on observations, interviews, and other contemporary modes of recording research encounters with short, reflective essays, offering rich examples of how fieldnotes are shaped by research experiences. By granting access to these personal archives, the contributors unsettle taboos about the privacy of ethnographic writing and give scholars a diverse, multimodal approach to conceptualizing and doing ethnographic fieldwork"--
    Description / Table of Contents: A brief history of the ethnographic fieldnote and its possible futures / Matthew J. Wolf-Meyer and Denielle Elliott -- Fieldnote confessions / Matthew J. Wolf-Meyer and Denielle Elliott -- Curator's note / Michelle Charette -- Reading strategies / Matthew J. Wolf-Meyer and Denielle Elliott -- Wellington, community pharmacy, care, 2021 / Courtney Addison -- Peru, textile practices, multimedia, 2011 / Patricia Alvarez Astacio -- Seattle, dispossession, sensing hate, 2016 / Sareeta Amrute -- Papua New Guinea, nursing college, lectures and pedagogy, 2012 / Barbara Andersen -- Atlanta, ebola epidemic, institutional memory, 2017 / Adia Benton -- Athens, irony, drawing, 2015-2017 / Letizia Bonanno -- Cuba, traces of life, embodied experiences, 2004-2018 / Alexandrine Boudreault-Fournier -- Ecuador, shamanism, history and violence, 2019 / Michael Cepek -- Munich, blind activism, participatory urban design, November 2015 / Tomás Criado -- Myanmar, pro-democracy movement, collective violence, 1998 / John Dale -- Beijing, evolving HIV, delivering care, 2011 / Elsa Fan -- Alabama, tribal council debates, Indian reservation, undated / Kelly Fayard -- Tamil Nadu, oral deaf early intervention center, scripted listening, 2018 / Michele Friedner -- Costa Rica, youthhood, tourism intimacies, 2015 / Susan Frohlick -- Mexico City, anexos, the senses, 2013 / Angela Garcia -- Georgian Bay, waterscape views, unceded lands, 2021 / Danielle Gendron -- Brussels, food innovation workshop, 2019 / Mascha Gugganig -- Israel/Palestine, cultivating indigeneity, producing time, 2013 / Natalia Gutkowski -- United States-Mexico, anthropology between race and the "willing suspension of disbelief," undated / T.S. Harvey
    Description / Table of Contents: San Francisco Presidio, refusing invasion, Amnesty International, the beginning of the War on Terror, 2001 / Saida Hodžić -- Mongolia, musical heritage, wild horses, 2016-2018 / K.G. Hutchins -- Jordan, orphanage for Syrian families, cruelty, 2018 / Basit Kareem Iqbal -- New South Wales, genetic samples, indigeneity, 2007 / Emma Kowal -- Pune, call centers, globalization, 2006 / Mathangi Krishnamurthy -- Senegal, cell phones, maternal health, 2018 / Margaret MacDonald -- Buenos Aires, railroad infrastructure, precarity, 2013 / Stephanie McCallum -- Colombia, neoliberal conservation, political violence, 2009-2010 / Diana Ojeda -- Gulf of Mexico, oil spill, environment, industry, 2011 / Valerie Olson -- Kenya, dams, flows, displacement, 2019 / Patrick Mbullo Owuor -- Nepal, roads, mobility, graphic ethnography, 2018 / Stacy Leigh Pigg and Shyam Kunwar -- Maelifellshnjúkur, Iceland, moss, life, 2017 / Jason Pine -- Lisbon, fuckin' perfect? : the politics of desirability, 2019-2021 / Chiara Pussetti -- Paignton and Bristol zoos, listening to the Zoo Project, 2019 / Tom Rice -- North America, intermountain West, coexistence, religion, 1992 / Leslie A. Robertson -- Venezuela, returning home, music, 2013 / Yana Stainova -- Antarctica, Scott Base, sociality and extremes, 2017 / Richard Vokes -- Vancouver, circuit parties, gay men, 2000 / Russell Westhaver -- Alaska, gold mining, archaeology of work, 2015 / Paul White
    URL: Inhaltsverzeichnis
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    Forces of Nature (2023)
    Ithaca : Cornell University Press | The Hague : OAPEN FOUNDATION
    Details
    ISBN: 9781501768811 , 9781501768804 , 9781501768798 , 9781501768781
    Language: English
    Pages: 1 Online-Ressource (258 p.)
    DDC: 304.209519
    Keywords: Conservation of the environment ; Politics & government ; environmental history of Korea, Korean environmentalism, environmental politics in Korea, nature and wildlife in Korea, industrial pollution, climate change in Korea, Korean environmental humanities, natural disaster in Korea, Korean beef industry ; Electronic books
    Abstract: Bringing together a multidisciplinary conversation about the entanglement of nature and society in the Korean peninsula, Forces of Nature aims to define and develop the field of the Korean environmental humanities. At its core, the volume works to foreground non-human agents that have long been marginalized in Korean studies, placing flora, fauna, mineral deposits, and climatic conditions that have hitherto been confined to footnotes front and center. In the process, the authors blaze new trails through Korea's social and physical landscapes. What emerges is a deeper appreciation of the environmental conflicts that have animated life in Korea. The authors show how natural processes have continually shaped the course of events on the peninsula—how floods, droughts, famines, fires, and pests have inexorably impinged on human affairs—and how different forces have been mobilized by the state to variously, control, extract, modernize, and showcase the Korean landscape. Forces of Nature suggestively reveals Korea's physical landscape to be not so much a passive context to Korea's history, but an active agent in its transformation and reinvention across centuries.
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  • 88
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    Exam ref AZ-900 Microsoft Azure fundamentals (2023)
    [London, England] : Pearson
    Details
    Language: English
    Pages: 1 online resource (240 pages) , illustrations
    Edition: Third edition.
    DDC: 004.67/82
    Keywords: Microsoft Azure (Computing platform) Study guides Examinations ; Cloud computing Study guides Examinations ; Electronic books ; Study guides
    Abstract: Prepare for Microsoft Exam AZ-900Demonstrate your real-world knowledge of cloud services and how they can be provided with Microsoft Azure, including high-level concepts that apply throughout Azure, and key concepts specific to individual services. Designed for professionals in non-technical or technical roles, the Exam Ref series focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Fundamentals level.
    Note: Includes index
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  • 89
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    Online Resource
    China's Road and Aging Population (2023)
    Singapore : Springer Singapore Pte. Limited
    Details
    ISBN: 9789811988912
    Language: English
    Pages: 1 online resource (395 pages)
    Edition: 1st ed.
    Parallel Title: Erscheint auch als
    DDC: 305.260951
    Keywords: Aufsatzsammlung ; Electronic books
    Note: Description based on publisher supplied metadata and other sources
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  • 90
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    Networks in the Global World VI : proceedings of NetGloW 2022 (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Show associated volumes/articles
    Details
    ISBN: 9783031294082
    Language: English
    Pages: 1 Online-Ressource (x, 211 Seiten)
    Series Statement: Lecture notes in networks and systems 663
    Series Statement: Lecture notes in networks and systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 302.3
    Keywords: Engineering—Data processing. ; System theory. ; Control theory. ; Computational intelligence. ; Engineering ; Konferenzschrift ; Electronic books
    Abstract: This book covers relations between social and cultural structures, power, and interaction in communities, social media, and literature. The areas range from politics and urban planning to literature and education. The collected chapters were presented at the Sixth ‘Networks in the Global World’ conference held on June 22–24, 2022. This biannual conference series revolves around key interdisciplinary issues in the focus of network analysts, such as the multidimensional approach to social reality, translation of theories and methods across disciplines, and mixing of data and methods. The topics covered by the chapters cover relations between social and cultural structures, power, and interaction in communities, social media, and literature. The book is useful for practicing researchers, graduate and post-graduate students, and educators interested in social relations, politics, economy, and culture.
    DOI: 10.1007/978-3-031-29408-2
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  • 91
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    PISA 2022 Results (Volume I) : The State of Learning and Equity in Education (2023)
    Paris : OECD Publishing
    Details
    ISBN: 9789264351288
    Language: English
    Pages: 1 Online-Ressource (491 pages)
    Series Statement: PISA
    Keywords: Education--Demographic aspects ; Education--Evaluation ; Education and state ; Electronic books ; Education
    Abstract: The OECD Programme for International Student Assessment (PISA) examines what students know in reading, mathematics and science, and what they can do with what they know. Volume VI: Are Students Ready to Thrive in an Interconnected World? explores students' ability to examine issues of local, global and cultural significance; understand and appreciate the perspectives and worldviews of others; engage in open, appropriate and effective interactions across cultures; and take action for collective well-being and sustainable development.
    Note: Description based on publisher supplied metadata and other sources
    DOI: 10.1787/53f23881-en
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  • 92
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    PISA 2022 Results (Volume II) : Learning During - and From - Disruption (2023)
    Paris : OECD Publishing
    Details
    ISBN: 9789264898219
    Language: English
    Pages: 1 Online-Ressource (458 pages)
    Series Statement: PISA
    Keywords: Education--Demographic aspects ; Education--Evaluation ; Education and state ; Electronic books ; Education
    Abstract: The OECD Programme for International Student Assessment (PISA) examines what students know in reading, mathematics and science, and what they can do with what they know. Volume VI: Are Students Ready to Thrive in an Interconnected World? explores students' ability to examine issues of local, global and cultural significance; understand and appreciate the perspectives and worldviews of others; engage in open, appropriate and effective interactions across cultures; and take action for collective well-being and sustainable development.
    Note: Description based on publisher supplied metadata and other sources
    DOI: 10.1787/a97db61c-en
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  • 93
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    Serving the Chain? : De Nederlandsche Bank and the Last Decades of Slavery, 1814-1863 (2023)
    Amsterdam : Amsterdam University Press | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9789400604384
    Language: English
    Pages: 1 Online-Ressource (247 pages)
    Edition: 1st ed.
    DDC: 306.36209492
    Keywords: Electronic books
    Abstract: In the nineteenth century, when the principal cultural, political, and financial institutions of the Netherlands were established, slavery was still very much part of the nation's global imperial structures. Dutch families, institutions, and governments are increasingly interested in the role their predecessors played in this history of colonialism and enslavement. This book is a history of De Nederlandsche Bank in which particular attention is paid to its links with slavery, both as a factor in the economy and as a subject of political debate. Because De Nederlandsche Bank served the Dutch ministery of Colonies and consequently followed Dutch trade interests, the bank's history intersects with the history of slavery. The investigation in this book focuses not only upon DNB's formal involvement but also on the private involvement of its directors. In addition, it examines whether the bank and its directors played any role in the abolition of slavery.
    Note: Description based on publisher supplied metadata and other sources
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  • 94
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    The Sexual/Political : Freud with Marx, Fanon, Foucault (2023)
    Milton : Taylor & Francis Group | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9781000913279
    Language: English
    Pages: 1 Online-Ressource (293 pages)
    Edition: 1st ed.
    Series Statement: Research in Sexualities Series
    DDC: 306.7
    Keywords: Electronic books
    Note: Description based on publisher supplied metadata and other sources
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  • 95
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    Migration and Integration in a Post-Pandemic World : Socioeconomic Opportunities and Challenges (2023)
    Cham : Springer International Publishing AG | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9783031191534
    Language: English
    Pages: 1 Online-Ressource (433 pages)
    Edition: 1st ed.
    DDC: 304.8
    RVK:
    MS 3600
    Keywords: Electronic books ; Aufsatzsammlung
    Note: Description based on publisher supplied metadata and other sources
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  • 96
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    Beyond description : anthropologies of explanation (2023)
    Ithaca [New York] : Cornell University Press | New York, NY : JSTOR
    Details
    ISBN: 9781501771590 , 9781501771583 , 1501771582
    Language: English
    Pages: 1 Online-Ressource
    Parallel Title: Erscheint auch als Beyond description
    DDC: 306.01
    RVK:
    MR 3500
    RVK:
    LC 60000
    Keywords: Ethnology Philosophy ; Explanation ; Philosophical anthropology ; Ethnologie - Philosophie ; Explication ; Anthropologie philosophique ; philosophical anthropology ; Ethnology - Philosophy ; Explanation ; Philosophical anthropology ; SOCIAL SCIENCE / Anthropology / Cultural & Social ; Electronic books ; Konferenzschrift 2018
    Abstract: "A survey of forms of explanation in social anthropology and ethnographic accounts of explanation to be found in areas of religion, medicine, politics, and economics"--...
    Note: Includes bibliographical references and index
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    URL: Click here to view book
    URL: https://doi.org/10.1515/9781501771583?locatt=mode:legacy
    URL: Open Access
    URL: Cover
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  • 97
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    Queer Lives Across the Wall : Desire and Danger in Divided Berlin, 1945-1970 (2023)
    Toronto : University of Toronto Press | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9781487549923
    Language: English
    Pages: 1 Online-Ressource (266 pages)
    Edition: 1st ed.
    Series Statement: German and European Studies v.50
    DDC: 306.760943
    RVK:
    MS 3165
    RVK:
    NR 6910
    Keywords: Electronic books ; History.
    Abstract: Queer Lives across the Wall draws on personal letters, photo albums, and state records in order to tell the history of East and West Berlin in the early Cold War through an LGBTIQ* perspective.
    Note: Description based on publisher supplied metadata and other sources
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    URL: JSTOR
    URL: https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=30536297
    URL: OverDrive
    URL: Excerpt
    URL: Image
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  • 98
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    The Palgrave Handbook of malicious use of AI and psychological security (2023)
    Cham, Switzerland : Palgrave Macmillan
    Details
    ISBN: 9783031225529
    Language: English
    Pages: 1 Online-Ressource (xx, 704 Seiten)
    Parallel Title: Erscheint auch als
    DDC: 303.4834
    Keywords: Electronic books
    DOI: 10.1007/978-3-031-22552-9
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  • 99
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    Fashion and Feeling : The Affective Politics of Dress (2023)
    Cham : Springer International Publishing AG
    Details
    ISBN: 9783031191008
    Language: English
    Pages: 1 online resource (344 pages)
    Edition: 1st ed. 2023
    Series Statement: Palgrave Studies in Fashion and the Body Series
    Parallel Title: Erscheint auch als Fashion and Feeling
    DDC: 391
    Keywords: Electronic books ; Aufsatzsammlung ; Aufsatzsammlung
    Abstract: Intro -- Contents -- Notes on Contributors -- List of Figures -- Chapter 1: Introduction -- On Terminology: "Affect," "Feeling," "Emotion" -- Affect Theories -- Feeling Clothes, Enclothing Feelings -- Structure of the Book -- References -- Part I: Feeling Wardrobe Histories -- Chapter 2: Closet Feelings -- References -- Chapter 3: Militarized Comfort: How to Feel Naked While Wearing Clothes -- Wartime Comfort -- Post-WWII Comfort -- Ordinary Comfort -- References -- Chapter 4: Costume Design and Emotional Communication in 1940s British Cinema -- Ealing Studios and the Changing Relationship Between Audiences and Film Fashions in Post-war British Cinema -- Hue and Cry: Negotiating the Morality of Desire and Consumption at a Time of Austerity -- Passport to Pimlico: Navigating Conflicted Emotions Through Out-of-Place Clothes -- Conclusions -- References -- Chapter 5: Can Fashion Feel? -- The Work and Care of Biotic Clothing -- An Uneasy Dress -- Conclusion -- References -- Part II: Reparative Fashion -- Chapter 6: Designing Clothes for and from Love: Disability Justice and Fashion Hacking -- Cripping Love -- Love Through Fashion Hacking -- Centring Collective Access -- Sharing Knowledge and Resources -- Holding Intersectional Disabled Stories -- Self-reflection and Accountability -- Fashion Hacking as Multidirectional Community Love Practice -- References -- Chapter 7: Beading Is Medicine: Beading as Therapeutic and Decolonial Practice -- A Common Denominator: Beadwork -- Beading Decolonial Space into Existence -- Beadwork as a Fashion Practice? -- Beading as Medicine During the Covid-19 Pandemic -- References -- Chapter 8: All that Cloth Can Carry (on a Queer Body) -- Acknowledgement of Country -- Guidance for the Reader -- Introduction -- Mauri and Aliveness in Fashion -- Stitching Queer Grief and Trauma -- Stitching Queer Loss.
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    URL: https://doi.org/10.1007/978-3-031-19100-8
    URL: Inhaltsverzeichnis
    URL: Ausführliche Beschreibung
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  • 100
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    Political Economy of Gender and Development in Africa : Mapping Gaps, Conflicts and Representation (2023)
    Cham : Springer International Publishing AG | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9783031188299
    Language: English
    Pages: 1 Online-Ressource (236 pages)
    Edition: 1st ed.
    DDC: 305.40960905
    Keywords: Women-Social conditions ; Electronic books ; Aufsatzsammlung
    Note: Description based on publisher supplied metadata and other sources
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