Applying Math with Python, 2nd Edition
The updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX. You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you progress, you'll gradually get to grips with more advanced topics of calculus, probability, and networks (graph theory). Once you've developed a solid base in these topics, you'll have the confidence to set out on math adventures with Python as you explore Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, y ...
The updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX. You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you progress, you'll gradually get to grips with more advanced topics of calculus, probability, and networks (graph theory). Once you've developed a solid base in these topics, you'll have the confidence to set out on math adventures with Python as you explore Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, y ...
Redis For Dummies
NoSQL is a modern data persistence storage paradigm that provides data persistence for environments where high performance is a primary requirement. Within NoSQL, data is stored in such a way as to make both writing and reading quite fast, even under heavy load. Redis and Redis Enterprise are market-leading, multi-model NoSQL databases that bring NoSQL to organizations both big and small. Redis is open source, and Redis Enterprise software adds several enhancements that are important to the enterprise customer. Redis Enterprise Cloud enables Redis Enterprise deployments on popular cloud providers like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure. This book provides a starting point for those new to NoSQL and those who have heard about NoSQL but would like to see how it might be used in their organization. The book serves multiple audiences, with chapters geared towards managers and chapters specifically for developers. You don't need to read this book from fron ...
NoSQL is a modern data persistence storage paradigm that provides data persistence for environments where high performance is a primary requirement. Within NoSQL, data is stored in such a way as to make both writing and reading quite fast, even under heavy load. Redis and Redis Enterprise are market-leading, multi-model NoSQL databases that bring NoSQL to organizations both big and small. Redis is open source, and Redis Enterprise software adds several enhancements that are important to the enterprise customer. Redis Enterprise Cloud enables Redis Enterprise deployments on popular cloud providers like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure. This book provides a starting point for those new to NoSQL and those who have heard about NoSQL but would like to see how it might be used in their organization. The book serves multiple audiences, with chapters geared towards managers and chapters specifically for developers. You don't need to read this book from fron ...
Designing Event-Driven Systems
Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change. Proven approaches such as service-oriented and event-driven architectures are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together. Author Ben Stopford explains how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems. You'll learn how to apply patterns including Event Sourcing and CQRS, and how to build multi-team systems with microservices and SOA using patterns such as "inside out databases" and "event streams as a source of truth." These approaches provide a unique foundation for how these large, autonomous service ecosystem ...
Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change. Proven approaches such as service-oriented and event-driven architectures are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together. Author Ben Stopford explains how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems. You'll learn how to apply patterns including Event Sourcing and CQRS, and how to build multi-team systems with microservices and SOA using patterns such as "inside out databases" and "event streams as a source of truth." These approaches provide a unique foundation for how these large, autonomous service ecosystem ...
Python for Data Analysis, 3rd Edition
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. ...
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. ...
Python Data Science Handbook, 2nd Edition
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all - IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. ...
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all - IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. ...
Learn Ruby on Rails: Book One
This book contains the background that's missing from other tutorials. Here you'll learn key concepts so you'll have a solid foundation for continued study. Whether you choose to continue with another book in this series, a video course, or a code school, everything will make sense when you start here. You can read this book anywhere, at your leisure, on your phone or tablet. Use this book to gain background understanding when you are not at your computer. With Book Two, the next in the series, you'll need a computer at hand so you can build your first web application. In Book Two, you'll build a working web application so you'll gain hands-on experience. Along the way, you'll practice techniques used by professional Rails developers. And I'll help you'll understand why Rails is a popular choice for web development. You can start with Book Two before finishing this book if you're eager to get started building your first application. In fact, I recommend it, because the hands-o ...
This book contains the background that's missing from other tutorials. Here you'll learn key concepts so you'll have a solid foundation for continued study. Whether you choose to continue with another book in this series, a video course, or a code school, everything will make sense when you start here. You can read this book anywhere, at your leisure, on your phone or tablet. Use this book to gain background understanding when you are not at your computer. With Book Two, the next in the series, you'll need a computer at hand so you can build your first web application. In Book Two, you'll build a working web application so you'll gain hands-on experience. Along the way, you'll practice techniques used by professional Rails developers. And I'll help you'll understand why Rails is a popular choice for web development. You can start with Book Two before finishing this book if you're eager to get started building your first application. In fact, I recommend it, because the hands-o ...
Clojure In Small Pieces
Rich Hickey invented Clojure. This is a fork of the project to experiment with literate programming as a development and documentation technology. Clojure is a break with the past traditions of Lisp. This literate fork is a break with the past traditions of code development. As such it is intended as an experiment, not a replacement or competition with the official version of Clojure. Most programmers are still locked into the idea of making a program out of a large pile of tiny files containing pieces of programs. They do not realize that this organization was forced by the fact that machines like the PDP 11 only had 8k of memory and a limit of 4k buffers in the editor. Thus there was a lot of machinery built up, such as overlay linkers, to try to reconstruct the whole program. The time has come to move into a more rational means of creating and maintaining programs. Knuth suggested we write programs like we write literature, with the idea that we are trying to communicate th ...
Rich Hickey invented Clojure. This is a fork of the project to experiment with literate programming as a development and documentation technology. Clojure is a break with the past traditions of Lisp. This literate fork is a break with the past traditions of code development. As such it is intended as an experiment, not a replacement or competition with the official version of Clojure. Most programmers are still locked into the idea of making a program out of a large pile of tiny files containing pieces of programs. They do not realize that this organization was forced by the fact that machines like the PDP 11 only had 8k of memory and a limit of 4k buffers in the editor. Thus there was a lot of machinery built up, such as overlay linkers, to try to reconstruct the whole program. The time has come to move into a more rational means of creating and maintaining programs. Knuth suggested we write programs like we write literature, with the idea that we are trying to communicate th ...
Azure Maps Using Blazor Succinctly
Microsoft Azure Maps is part of Microsoft Azure Cloud Services and provides a wide range of powerful geospatial capabilities and a rich set of REST APIs. It has SDKs for both web and mobile applications. In Azure Maps Using Blazor Succinctly, learn how you can create sophisticated applications with Azure Maps and Syncfusion controls in Blazor. Michael Washington will introduce you to the capabilities of Azure Maps and then take you through the steps of building a Blazor store application featuring it. ...
Microsoft Azure Maps is part of Microsoft Azure Cloud Services and provides a wide range of powerful geospatial capabilities and a rich set of REST APIs. It has SDKs for both web and mobile applications. In Azure Maps Using Blazor Succinctly, learn how you can create sophisticated applications with Azure Maps and Syncfusion controls in Blazor. Michael Washington will introduce you to the capabilities of Azure Maps and then take you through the steps of building a Blazor store application featuring it. ...
Foundations of ARM64 Linux Debugging, Disassembling, and Reversing
Gain a solid understanding of how Linux C and C++ compilers generate binary code. This book explains the reversing and binary analysis of ARM64 architecture now used by major Linux cloud providers and covers topics ranging from writing programs in assembly language, live debugging, and static binary analysis of compiled C and C++ code. It is ideal for those working with embedded devices, including mobile phones and tablets. Using the latest version of Red Hat, you'll look closely at the foundations of diagnostics of core memory dumps, live and postmortem debugging of Linux applications, services, and systems. You'll also work with the GDB debugger and use it for disassembly and reversing. This book uses practical step-by-step exercises of increasing complexity with explanations and many diagrams, including some necessary background topics. In addition, you will be able to analyze such code confidently, understand stack memory usage, and reconstruct original C/C++ code. And as yo ...
Gain a solid understanding of how Linux C and C++ compilers generate binary code. This book explains the reversing and binary analysis of ARM64 architecture now used by major Linux cloud providers and covers topics ranging from writing programs in assembly language, live debugging, and static binary analysis of compiled C and C++ code. It is ideal for those working with embedded devices, including mobile phones and tablets. Using the latest version of Red Hat, you'll look closely at the foundations of diagnostics of core memory dumps, live and postmortem debugging of Linux applications, services, and systems. You'll also work with the GDB debugger and use it for disassembly and reversing. This book uses practical step-by-step exercises of increasing complexity with explanations and many diagrams, including some necessary background topics. In addition, you will be able to analyze such code confidently, understand stack memory usage, and reconstruct original C/C++ code. And as yo ...
Productionizing AI
This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app. From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you'll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You'll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions. The b ...
This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app. From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you'll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You'll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions. The b ...