Название: Python for Scientific Computing and Artificial Intelligence
Автор: Stephen Lynch
Издательство: CRC Press
Серия: The Python Series
Год: 2023
Страниц: 334
Язык: английский
Формат: pdf (true)
Размер: 27.7 MB

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI). This book has developed from a series of university, national and international workshops that I have been delivering for over twenty years. It is based on the programming language Python, which is a high-level programming language and supports functional, imperative, object-oriented and procedural styles of programming. Probably the most important aspect of Python is that it is open source and completely free to the user.

Название: Python The Complete Manual - 15th Edition, 2023
Автор: Jon White (Editor)
Издательство: Future Publishing
Год: 2023
Страниц: 132
Язык: английский
Формат: pdf (true)
Размер: 10,1 MB

Всегда хотели попробовать себя в программировании? Больше никаких отговорок, потому что Python - это идеальный способ начать! Python - отличный язык программирования как для новичков, так и для экспертов. Он разработан с учетом удобства чтения кода, что делает его отличным выбором для новичков, которые все еще привыкают к различным концепциям программирования. Язык популярен и имеет множество библиотек, что позволяет программистам добиться многого, используя относительно небольшой объем кода. На Python можно создавать самые разные приложения: можно использовать фреймворк Pygame для написания простых 2D-игр, можно использовать библиотеки GTK для создания оконного приложения, а можно попробовать что-то более амбициозное, например, создать приложение с использованием библиотек Python Bluetooth и Input для захвата ввода с USB-клавиатуры и передачи событий ввода на телефон Android.

Название: Training Data for Machine Learning: Human Supervision from Annotation to Data Science (8th Early release)
Автор: Anthony Sarkis
Издательство: O’Reilly Media, Inc.
Год: 2023-04-25
Страниц: 259
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in Deep Learning systems relate to training data. But while training data is the foundation for successful Machine Learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. What is Training Data? Training Data is the control of a Supervised System. Training Data controls the system by defining the ground truth goals for the creation of Machine Learning models. This involves technical representations, people decisions, processes, tooling, system design, and a variety of new concepts specific to Training Data. In a sense, a Training Data mindset is a paradigm upon which a growing list of theories, research and standards are emerging. A Machine Learning (ML) Model that is created as the end result of a ML Training Process.

Название: Fast Python: High performance techniques for large datasets (Final Release)
Автор: Tiago Rodriques Antao
Издательство: Manning Publications
Год: 2023
Страниц: 304
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Master Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex Machine Learning applications. The purpose of this book is to help you write more efficient applications in the Python ecosystem. By more efficient, I mean that your code will use fewer CPU cycles, less storage space, and less network communication. The book takes a holistic approach to the problem of performance. We not only discuss code optimization techniques in pure Python, but we also consider the efficient use of widely used data libraries, like NumPy and Pandas. Because Python is not sufficiently performant in some cases, we also consider Cython when we need more speed. In line with this holistic approach, we also discuss the impact of hardware on code design: we analyze the impact of modern computer architectures on algorithm performance. We also examine the effect of network architectures on efficiency, and we explore the usage of GPU computing for fast data analysis. Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs.

Название: Geometry for Programmers (Final Release)
Автор: Oleksandr Kaleniuk
Издательство: Manning Publications
Год: 2023
Страниц: 449
Язык: английский
Формат: pdf (true)
Размер: 29.0 MB

Master the math behind CAD, game engines, GIS, and more! Geometry for Programmers guides you through the math behind graphics and modeling tools. To make the book applicable, I gathered a list of practical examples from my own practice and from popular interview questions. Although I write mostly in C++ professionally, I present the source-code samples in Python solely for ease of trying them. To make the book approachable, I delegated all the tedious math work to SymPy, a Python library that does your algebra and calculus for you. I also introduced some algebra and calculus in the book, but briefly. You don’t have to spend months in training to become good at moving xs and ys around; SymPy, which you can learn in 15 minutes, will take care of that. Geometry for Programmersis both practical and entertaining. Fun illustrations and engaging examples show you how to apply geometry to real programming problems, like changing a scan into a CAD model or developing 3D printing contours from a parametric function. And don’t worry if you aren’t a math expert. There’s no heavy theory, and you’ll learn how to offload most equations to the SymPy computer algebra system. Examples are in Python, and all you need is high school–level math.

Название: Kubernetes for Developers (MEAP v14)
Автор: William Denniss
Издательство: Manning Publications
Год: 2023
Страниц: 279
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Kubernetes for Developers is a hands-on guide to taking your first steps into Kubernetes using the powerful Google Kubernetes Engine service. Kubernetes for Developers is a clear and practical beginner’s guide that shows you just how easy, flexible, and cost-effective it can be to make the switch to Kubernetes deployment even for small to medium-sized applications.

Название: A Pythonic Adventure: From Python basics to a working web app (MEAP v7)
Автор: Pavel Anni
Издательство: Manning Publications
Год: 2023
Страниц: 241
Язык: английский
Формат: pdf (true)
Размер: 13.0 MB

Learn Python the fun and easy way with your new friends Erik and Simon! This colorful book uses engaging questions and lively conversations to introduce computer programming to young readers one step at a time. A Pythonic Adventure listens in on the conversations between two aspiring Python programmers. The book’s dialogue helps young programmers understand complex concepts much more easily. Characters ask questions, make mistakes, and offer different solutions—just like in real life. Readers will develop fun and engaging Python applications, including a coffee shop app for taking orders and a LEGO minifigure exchange program. Best of all, A Pythonic Adventure dives deeper than other beginner books. Inside are important skills for any new software developer, such as how to plan an application, what to expect from users, and how to test code and check for errors. By the time they’re done reading, young learners will not only know how to write code, they’ll know how to think about problems like professional developers!

Название: Cloud Observability in Action (MEAP v10)
Автор: Michael Hausenblas
Издательство: Manning Publications
Год: 2023
Страниц: 234
Язык: английский
Формат: pdf (true)
Размер: 22.9 MB

Generate actionable insights about your cloud native systems. This book teaches you how to set up an observability system that learns from a cloud application’s signals, logging, and monitoring using free and open source tools. Cloud native, serverless, and containerized applications are made up of hundreds of moving parts. When something goes wrong, it’s not enough to just know there is a problem—you need to know where it is, what it is, and even how to fix it. Cloud Observability in Action shows you how to go beyond the traditional monitoring and build observability systems that turn application telemetry into actionable insight. A well-designed observability system provides insight into bugs and performance issues in cloud native applications. Often, observability is the difference between an error message and an explanation! You know exactly which service is affected, who’s responsible for its repair, and even how it can be optimized in the future.

Название: Regularization in Deep Learning (MEAP v6)
Автор: Peng Liu
Издательство: Manning Publications
Год: 2023
Страниц: 288
Язык: английский
Формат: pdf (true)
Размер: 18.1 MB

Make your Deep Learning models more generalized and adaptable! These practical regularization techniques improve training efficiency and help avoid overfitting errors. Regularization in Deep Learning teaches you how to improve your model performance with a toolbox of regularization techniques. It covers both well-established regularization methods and groundbreaking modern approaches. Each technique is introduced using graphics, illustrations, and step-by-step coding walkthroughs that make complex math easy to follow. One of the most important goals in building Machine Learning and especially Deep Learning models is to achieve good generalization performance in the test dataset. The training task is considered to be completed when we have obtained a generalizable model, often with the help of proper regularization in the training process. While the theory of generalization still remains a mystery, it is an active research area with new insights being proposed.

Название: Deep Learning with JAX (MEAP v6)
Автор: Grigory Sapunov
Издательство: Manning Publications
Год: 2023
Страниц: 211
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. JAX is a Python mathematics library with a NumPy interface developed by Google. It is heavily used for machine learning research, and it seems that JAX has already become the #3 Deep Learning framework (after TensorFlow and PyTorch). It also became the main Deep Learning framework in companies such as DeepMind, and more and more of Google’s own research use JAX. JAX promotes a functional programming paradigm in Deep Learning. It has powerful function transformations such as taking gradients of a function, JIT-compilation with XLA, auto-vectorization, and parallelization. JAX supports GPU and TPU and provides great performance. Deep Learning with JAX is a hands-on guide to using JAX for Deep Learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks.