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Parallel Programming and Concurrency with C# 10 And . NET 6

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Leverage the latest parallel and concurrency features in .NET 6 when building your next application and explore the benefits and challenges of asynchrony, parallelism, and concurrency in .NET via practical examples

Key Features

Learn to implement parallel programming and handle concurrency in .NET efficiently
Switch threads while debugging and learn how to monitor specific threads in Visual Studio
Discover how to cancel tasks with callbacks, by polling, or by using a task with wait handles

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$Learn C Programming: A beginner\'s guide to learning the most powerful and general-purpose programming, 2nd Edition$

Get started with writing simple programs in C while learning core programming concepts

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The Rules of Programming: How to Write Better Code (Third Early Release)

This philosophy-of-programming guide provides a unique take on how to think about programming. With a collection of two dozen pragmatic rules, each presented in a standalone chapter, this hands-on book is ideal for freshly minted programmers making the jump from small programming jobs to large-scale projects and long time frame work. Author Chris Zimmerman, cofounder of the video game studio Sucker Punch Productions, teaches basic truths of programming by wrapping them in memorable aphorisms and driving them home with examples drawn from real code. This practical guide also helps managers who are searching for methods to train new members of their programming team.

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Python In - Depth: Use Python Programming Features, Techniques, and Modules to Solve Everyday Problems

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Python for Professionals: Learning Python as a Second Language

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Hands-on Go Programming: Learn Google’s Golang Programming, Data Structures

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Hands-on Application Development using Spring Boot

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Hands-on Application Development using Spring Boot

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Enterprise Automation with Python: Automate Excel, Web, Documents, Emails, and Various Workloads

Written by ZappyAI's founder, this book gives real-world examples of how readers can implement automation in their businesses and business-as-usual tasks. Through a series of real-world examples and live demonstrations, this book shows how to automate various tasks using Python scripts.
This book gives solutions to everyday automation needs and repetitive tasks at work every day. Readers will be able to discover the most typical business process that can be automated and write simple Python scripts to turn them automated. This book will teach you how to create, read, change, and extract data from Excel documents using Python programming. Readers can extract data from websites, PDF documents, Gmail, Outlook, and WhatsApp chats. Text extraction from photos and scanned documents is also smartly accomplished in this book.

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Data Science Handbook : A Practical Approach

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Data Science Handbook : A Practical Approach

This desk reference handbook gives a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains.

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Practical Simulations for Machine Learning: Using Synthetic Data for AI

Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That’s just the beginning. With this practical book, you’ll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.

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Q# Pocket Guide: Instant Help for Q# Developers

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Q# Pocket Guide: Instant Help for Q# Developers

Ready to build quantum computing applications using Q# and the Microsoft Quantum Development Kit? This is the book for you. Q# is a domain-specific language for expressing quantum algorithms that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with (or willing to learn) the basics of quantum computing and looking to get started with quantum programming, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#.

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Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark

The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming.

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Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge

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$Artificial Intelligence and Deep Learning for Decision Makers: A Growth Hacker\'s Guide to Cutting Edge Technologies$

Artificial Intelligence and Deep Learning for Decision Makers: A Growth Hacker's Guide to Cutting Edge Technologies

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ASP.NET Core for Jobseekers: Build Career in Designing Cross-Platform Web Applications Using Razor

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Azure for .NET Core Developers: Implementing Microsoft Azure Solutions Using .NET Core Framework

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Backend Developer in 30 Days: Acquire Skills on API Designing, Data Management, Application Testing, Deployment, Security

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An Introduction to Python Programming: A Practical Approach: Using Python to Solve Complex Problems with a Burst

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Agile Methodologies In-Depth: Delivering Proven Agile, SCRUM and Kanban Practices

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A Python Guide for Web Scraping: Explore Python Tools, Web Scraping Techniques, and How to Automata Data

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A Journey to Angular Development: Learn Angular Fundamentals, TypeScript, Webpack, Routing, Directives, Components

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A Journey to Core Python: Experience the Applications of Tuples, Dictionary, Lists, Operators, Loops, Indexing

Come and join hands together to learn Python from scratch. This book will help you understand Python from scratch and help you build a career in the field of programming.

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