Find a book to read

ebooks

Jim Ledin - 2020

C# 8.0 in a Nutshell: The Definitive Reference

humble-bundle

home

Joseph Albahari - 2020

When you have questions about C# 8.0 or .NET Core, this best-selling guide has the answers you need.

C# is a language of unusual flexibility and breadth, but with its continual growth there's so much more to learn. In the tradition of the O'Reilly Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today.Organized around concepts and use cases, C# 8.0 in a Nutshell provides intermediate and advanced programmers with a concise map of C# and .NET knowledge that also plumbs significant depths.Get up to speed on C#, from syntax and variables to advanced topics such as pointers, closures, and patternsDig deep into LINQ with three chapters dedicated to the topicExplore concurrency and asynchrony, advanced threading, and parallel programmingWork with .NET features, including regular expressions, networking, serialization, spans, reflection, and cryptographyDelve into Roslyn, the modular C# compiler as a service

Home Computers: 100 Icons That Defined a Digital Generation

Alex Wiltshire - 2020

A celebration of the early years of the digital revolution, when computing power was deployed in a beige box on your desk.Today, people carry powerful computers in our pockets and call them "phones." A generation ago, people were amazed that the processing power of a mainframe computer could be contained in a beige box on a desk.

This book is a celebration of those early home computers, with specially commissioned new photographs of 100 vintage computers and a generous selection of print advertising, product packaging, and instruction manuals. Readers can recapture the glory days of fondly remembered (or happily forgotten) machines including the Commodore 64, TRS-80, Apple Lisa, and Mattel Aquarius--traces of the techno-utopianism of the not-so-distant past.Home Computers showcases mass-market success stories, rarities, prototypes, one-offs, and never-before-seen specimens. The heart of the book is a series of artful photographs that capture idiosyncratic details of switches and plugs, early user-interface designs, logos, and labels. After a general scene-setting retrospective, the book proceeds computer by computer, with images of each device accompanied by a short history of the machine, its inventors, its innovations, and its influence. Readers who inhabit today's always-on, networked, inescapably connected world will be charmed by this visit to an era when the digital revolution could be powered down every evening.

Algorithms

Panos Louridas - 2020

An accessible introduction to algorithms, explaining not just what they are but how they work, with examples from a wide range of application areas.Digital technology runs on algorithms, sets of instructions that describe how to do something efficiently.

Application areas range from search engines to tournament scheduling, DNA sequencing, and machine learning. Arguing that every educated person today needs to have some understanding of algorithms and what they do, in this volume in the MIT Press Essential Knowledge series, Panos Louridas offers an introduction to algorithms that is accessible to the nonspecialist reader. Louridas explains not just what algorithms are but also how they work, offering a wide range of examples and keeping mathematics to a minimum.After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning. Finally, Louridas describes how all algorithms are nothing more than simple moves with pen and paper, and how from such a humble foundation rise all their spectacular achievements.

Deep Learning: A Visual Approach

artificial-intelligence

Andrew Glassner - 2020

An accessible, highly-illustrated introduction to deep learning that offers visual and conceptual explanations instead of equations.

Readers learn how to use key deep learning algorithms without the need for complex math.Deep Learning algorithms can start with mountains of data and measurements and turn them into useful and meaningful patterns. This book is for people with sharp minds who may lack the math background necessary to deal with equations or complex mechanics, but who nevertheless want to understand the "how" of deep learning, and actually use these tools for themselves.Deep Learning: A Visual Approach helps demystify the algorithms that enable computers to drive cars, win chess tournaments, and create symphonies, while giving readers the tools necessary to build their own systems to help them find the information hiding within their own data, create "deep dream" artwork, or create new stories in the style of their favorite authors. Scientists, artists, programmers, managers, hobbyists, and intellectual adventurers of all kinds can use deep learning tools to make new discoveries and create new kinds of art and intelligent systems.The book's friendly, informal approach to deep learning demonstrates the concepts visually. There's no math beyond the occasional multiplication and no programming experience is required. By the end of the book, readers will be equipped to understand modern deep learning systems, and anyone who wants to program and train their own deep learning networks will be able to dive into the library of their choice and start implementing with knowledge and confidence.

Real-World Python: A Hacker's Guide to Solving Problems with Code

Lee Vaughan - 2020

A project- based approach to learning Python programming for beginners.

Intriguing projects teach readers how to tackle challenging problems with code.Computer programming is about solving real problems with code. Real World Python is a collection of worked projects for readers who know some basic Python and want to do something with their knowledge. The book's short projects all teach thought processes and problem-solving as well as coding syntax. Readers learn to think their way through challenges like predicting the location of sailors lost at sea, discovering new planets, determining the author of a novel, selecting candidate landing sites for a Mars rover, programming a robot sentry gun to detect and shoot aliens (not humans), and more. The book should appeal to younger learners and mature readers, especially scientists and engineers looking to increase their Python skills. Most chapters give the reader a role (NASA intern, Coast Guard Director of Operations, linguistic detective, UN diplomatic associate, Aliens movie franchise Colonial Marine, and so on). Vaughan walks readers through planning and implementing solutions to complex problems. The book's various projects introduce important Python modules, like NLTK and OpenCV, which are used extensively in data analysis and machine learning. By the end of the book readers will be able to think through complex Python projects and have the tools necessary to tackle them.

Arrival Mind

Louis B. Rosenberg - 2020

Arrival Mind is a "picture book for grown-ups" about the dangers of Artificial Intelligence.

Written by well-known futurist and AI researcher Dr. Louis B. Rosenberg with glorious artwork by Anastasia Khmelevska, Arrival Mind combines surreal imagery and clever prose to explore what could be one of the greatest threats humanity will ever face. A unique mix of science fact and science fiction, this artful little book delivers a powerful message in a wonderfully clear and coherent way.

Tribe of Hackers Security Leaders: Tribal Knowledge from the Best in Cybersecurity Leadership

Marcus J. Carey - 2020

Tribal Knowledge from the Best in Cybersecurity LeadershipThe Tribe of Hackers series continues, sharing what CISSPs, CISOs, and other security leaders need to know to build solid cybersecurity teams and keep organizations secure.

Dozens of experts and influential security specialists reveal their best strategies for building, leading, and managing information security within organizations. Tribe of Hackers Security Leaders follows the same bestselling format as the original Tribe of Hackers, but with a detailed focus on how information security leaders impact organizational security.Information security is becoming more important and more valuable all the time. Security breaches can be costly, even shutting businessesand governments down, so security leadership is a high-stakes game. Leading teams of hackers is not always easy, but the future of your organization may depend on it. In this book, the world's top security experts answer the questions that Chief Information Security Officers and other security leaders are asking, including:What's the most important decision you've made or action you've taken to enable a business risk? How do you lead your team to execute and get results? Do you have a workforce philosophy or unique approach to talent acquisition? Have you created a cohesive strategy for your information security program or business unit? Anyone in or aspiring to an information security leadership role, whether at a team level or organization-wide, needs to read this book. Tribe of Hackers Security Leaders has the real-world advice and practical guidance you need to advance your cybersecurity leadership career.

How Computers Really Work

Matthew Justice - 2020

Build Websites with Hugo:Fast Web Development with Markdown

Brian P. Hogan - 2020

Rediscover how fun web development can be with Hugo, the static site generator and web framework that lets you build content sites quickly, using the skills you already have.

Design layouts with HTML and share common components across pages. Create Markdown templates that let you create new content quickly. Consume and generate JSON, enhance layouts with logic, and generate a site that works on any platform with no runtime dependencies or database. Hugo gives you everything you need to build your next content site and have fun doing it.Published: 2020-05-10Release: P1.0 (2020-05-06)ISBN: 978-1-68050-726-3Database-driven sites bring complexity you might not need, but building a site by hand is too much work. Hugo is a static site generator and web development framework that creates content sites quickly without the overhead or dependencies of a dyanmic web framework. With Hugo, you use HTML templates and Markdown to build static sites you can host anywhere, letting you use the skills you already have.Develop your own theme using standard HTML and CSS, using Hugo’s powerful templating features to organize your site’s components. Create your site’s content with HTML or Markdown and use Hugo’s content templating features to build new content quickly. Build a fully-featured blog with archive pages, tagging, and pagination, and integrate an external commenting system to provide interactivity. Use data from front-matter, site-wide configuration, and external JSON sources to add content, and generate JSON others can use. Integrate JavaScript with your site to create a search engine. Get Hugo working with Webpack so you can leverage the wider web development ecosystem, and explore ways to publish your site to various services. Finally, learn how you can move your existing content site to Hugo.Dive in and build your next site with Hugo!

Microservices Security in Action

Prabath Siriwardena - 2020

Unlike traditional enterprise applications, Microservices applications are collections of independent components that function as a system.

Securing the messages, queues, and API endpoints require new approaches to security both in the infrastructure and the code. Microservices Security in Action teaches you how to address microservices-specific security challenges throughout the system. This practical guide includes plentiful hands-on exercises using industry-leading open-source tools and examples using Java and Spring Boot.

Grokking Deep Reinforcement Learning

machine-learning

deep-learning

computer-and-tech-history

Miguel Morales - 2020

Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems.

This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback.Summary We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology We learn by interacting with our environment, and the rewards or punishments we experience guide our future behavior. Deep reinforcement learning brings that same natural process to artificial intelligence, analyzing results to uncover the most efficient ways forward. DRL agents can improve marketing campaigns, predict stock performance, and beat grand masters in Go and chess. About the book Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback. What's inside An introduction to reinforcement learning DRL agents with human-like behaviors Applying DRL to complex situations About the reader For developers with basic deep learning experience. About the author Miguel Morales works on reinforcement learning at Lockheed Martin and is an instructor for the Georgia Institute of Technology’s Reinforcement Learning and Decision Making course. Table of Contents 1 Introduction to deep reinforcement learning 2 Mathematical foundations of reinforcement learning 3 Balancing immediate and long-term goals 4 Balancing the gathering and use of information 5 Evaluating agents’ behaviors 6 Improving agents’ behaviors 7 Achieving goals more effectively and efficiently 8 Introduction to value-based deep reinforcement learning 9 More stable value-based methods 10 Sample-efficient value-based methods 11 Policy-gradient and actor-critic methods 12 Advanced actor-critic methods 13 Toward artificial general intelligence

Retro Tea Breaks Selected Interviews Vol. 1

non-fiction

favorites

Neil Thomas - 2020

Retro Tea Breaks Vol.1 is a collection of interviews with pioneers who have helped shape the computer, console and video game industry.As time passes, it is becoming more and more important that we record these voices and first-hand experiences while we still have access to them.

That's the goal with the Retro Tea Break series, and within this book I hope to capture and share these fantastic memories and experiences with you all.This volume includes 12 very special conversations with: The Oliver Twins (British 8-bit pioneers) Al Lowe (Sierra, Video Game Developer) George 'The Fat Man' Sanger (Composer, Freelance/Lucas Arts) Bill Volk (Developer, Activision/Avalon Hill) Francois Lionet (Developer, STOS/AMOS) Rob Hubbard (Composer, C64 Maestro/Electronic Arts) Stoo Cambridge (Artist, Sensible Software) Jon St. John (Voice Over Artist, Duke Nukem 3D) Mike Dailly (DMA, Grand Theft Auto/Lemmings) David Fox (Developer, Lucas Arts)And – exclusive to the book – two new interviews with Chris Sawyer (Transport Tycoon, RollerCoaster Tycoon) and Ken Silverman (Build engine).

Distributed Tracing in Practice: Instrumenting, Analyzing, and Debugging Microservices

Austin Parker - 2020

Most applications today are distributed in some fashion.

Monitoring the health and performance of these distributed architectures requires a new approach. Enter distributed tracing, a method of profiling and monitoring applications--especially those that use microservice architectures. There's just one problem: distributed tracing can be hard. But it doesn't have to be.With this practical guide, you'll learn what distributed tracing is and how to use it to understand the performance and operation of your software. Key players at LightStep walk you through instrumenting your code for tracing, collecting the data that your instrumentation produces, and turning it into useful, operational insights. If you want to start implementing distributed tracing, this book tells you what you need to know.You'll learn:The pieces of a distributed tracing deployment: Instrumentation, data collection, and delivering valueBest practices for instrumentation (the methods for generating trace data from your service)How to deal with or avoid overhead, costs, and samplingHow to work with spans (the building blocks of request-based distributed traces) and choose span characteristics that lead to valuable tracesWhere distributed tracing is headed in the future

Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python, 2nd Edition

Matt Harrison - 2020

Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications

data-science

machine-learning

science

Samuel Hack - 2020

Master the World of Machine Learning – Even if You’re a Complete Beginner With This Incredible 2-in1 BundleAre you an aspiring entrepreneur? Are you an amateur software developer looking for a break in the world of machine learning? Do you want to learn more about the incredible world of Machine Learning, and what it can do for you? Then keep reading.Machine learning is the way of the future – and breaking into this highly lucrative and ever-evolving field is a great way for your career, or business, to prosper.

Inside this guide, you’ll find simple, easy-to-follow explanations of the fundamental concepts behind machine learning, from the mathematical and statistical concepts to the programming behind them.With a wide range of comprehensive advice including machine learning models, neural networks, statistics, and much more, this guide is a highly effective tool for mastering this incredible technology.In book one, you'll learn:- What is Artificial Intelligence Really, and Why is it So Powerful?- Choosing the Right Kind of Machine Learning Model for You- An Introduction to Statistics- Reinforcement Learning and Ensemble Modeling- “Random Forests” and Decision TreesIn book two, you'll learn:- Learn the Fundamental Concepts of Machine Learning Algorithms- Understand The Four Fundamental Types of Machine Learning Algorithm- Master the Concept of “Statistical Learning- Learn Everything You Need to Know about Neural Networks and Data Pipelines- Master the Concept of “General Setting of Learning”- A Free BonusCovering everything you need to know about machine learning, now you can master the mathematics and statistics behind this field and develop your very own neural networks! Whether you want to use machine learning to help your business, or you’re a programmer looking to expand your skills, this bundle is a must-read for anyone interested in the world of machine learning.So don’t wait – it’s never been easier to learn.Buy now to become a master of Machine Learning Today!

Deep Learning for Vision Systems

Mohamed Elgendy - 2020

How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision.

Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition.Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you’ll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology How much has computer vision advanced? One ride in a Tesla is the only answer you’ll need. Deep learning techniques have led to exciting breakthroughs in facial recognition, interactive simulations, and medical imaging, but nothing beats seeing a car respond to real-world stimuli while speeding down the highway. About the book How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. What's inside Image classification and object detection Advanced deep learning architectures Transfer learning and generative adversarial networks DeepDream and neural style transfer Visual embeddings and image search About the reader For intermediate Python programmers. About the author Mohamed Elgendy is the VP of Engineering at Rakuten. A seasoned AI expert, he has previously built and managed AI products at Amazon and Twilio. Table of Contents PART 1 - DEEP LEARNING FOUNDATION 1 Welcome to computer vision 2 Deep learning and neural networks 3 Convolutional neural networks 4 Structuring DL projects and hyperparameter tuning PART 2 - IMAGE CLASSIFICATION AND DETECTION 5 Advanced CNN architectures 6 Transfer learning 7 Object detection with R-CNN, SSD, and YOLO PART 3 - GENERATIVE MODELS AND VISUAL EMBEDDINGS 8 Generative adversarial networks (GANs) 9 DeepDream and neural style transfer 10 Visual embeddings

Operations Anti-Patterns, DevOps Solutions

devops

software-development

software

Jeffery D. Smith - 2020

Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in.

Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don’t have the flexibility to make sweeping changes in organizational structure. Summary Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don't have the flexibility to make sweeping changes in organizational structure. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology To some extent, all organizations—even yours—suffer from poor development practices, garbled communications, and outdated legacy systems. The good news is DevOps can help you improve your processes. First, however, you'll need to recognize the core issues holding you back. This book empowers you to deliver DevOps with limited resources while navigating the office politics and entrenched mindsets that are all too common in actual workplaces. About the book Operations Anti-Patterns, DevOps Solutions offers clear steps for transforming development and communication. Using jargon-free language, this book describes incremental techniques that pay off immediately. Streamline your workflow, manage unplanned time, and build operational metrics. Whatever your issues, this book holds the keys to organizational success. What's inside Turn failure into opportunity Drive change through culture Break down knowledge silos Settle middle management turf wars About the reader For team leaders and managers. About the author Jeffery D. Smith has been in the technology industry for over 15 years. He has managed DevOps transformations at the ad-tech firm Centro and the online ordering platform Grubhub. Table of Contents 1 The DevOps ingredients 2 The paternalist syndrome 3 Operational blindness 4 Data instead of information 5 Quality as a condiment 6 Alert fatigue 7 The empty toolbox 8 Off-hour deployments 9 Wasting a perfectly good incident 10 Information hoarding: Only Brent knows 11 Culture by decree 12 Too many yardsticks

Intrusion Detection Honeypots: Detection through Deception

aaa

about-working-as-a-programmer

Chris Sanders - 2020

Coding Democracy: How a Growing Hacking Movement Is Disrupting Concentrations of Power, Mass Surveillance, and Authoritarianism

Maureen Webb - 2020

PoC or GTFO, Volume 3

Manul Laphroaig - 2020

Volume 3 of the PoC -- GTFO collection--read as Proof of Concept or Get the Fuck Out--continues the series of wildly popular collections of this hacker journal.

Contributions range from humorous poems to deeply technical essays bound in the form of a bible.The International Journal of Proof-of-Concept or Get The Fuck Out is a celebrated collection of short essays on computer security, reverse engineering and retrocomputing topics by many of the world's most famous hackers. The journal covers topics like reverse engineering, retro-computing, and systems internals. This third volume contains all articles from releases 14 to 18 in the form of an actual, bound bible.Topics include how to dump the ROM from one of the most secure Sega Genesis games ever created; how to create a PDF that is also a Git repository; how to extract the Game Boy Advance BIOS ROM; how to sniff Bluetooth Low Energy communications with the BCC Micro: Bit; how to conceal ZIP Files in NES Cartridges; how to remotely exploit a TetriNET Server; and more.The journal exists to remind us of what a clever engineer can build from a box of parts and a bit of free time. Not to showcase what others have done, but to explain how they did it so that readers can do these and other clever things themselves.

Ubuntu Linux Bible

David Clinton - 2020

Ubuntu Linux Bible (version 19.10) addresses the information needed for the complete spectrum of Ubuntu users, from desktop users to server administrators, including those new to Linux who may be setting up Linux servers for the first time.

The book provides complete information presented in such a way that new users have all of the information that they need, while experienced Linux users can skip directly to the details that they require. Covering the recently released 19.10, as well as the previous version, this book will cover Getting Started with Ubuntu, Ubuntu for Desktop Users, and Ubuntu for System AdministratorsThis book is organized into four parts: "Getting Started with Ubuntu Linux," "Ubuntu for Desktop Users," Ubuntu for System Administrators," and "Configuring Servers on Ubuntu."Making the most of the wide variety of software that is included with Ubuntu Linux. The "Desktop Users' section of the book is task-oriented, explaining how to do user-oriented tasks like read email, surf the web, create and publish documents, work with spreadsheets, create presentations, play games, create and edit graphics, and work with common consumer IoT electronic devices.Managing Ubuntu systems, explaining fundamental Linux system administration topics such as creating and managing users, backing up the system, adding new printers and disks to the system, network configuration, and using Ubuntu wirelessesly.Using Ubuntu to support network servers. Ubuntu is primarily targeted for desktop users but can also be used in an enterprise environment to provide core network services, where it is especially attractive due to its support for a huge number of languages. This part contains chapters explaining how to set up servers for the Web, electronic mail, print services, networked file sharing, DHCP (network address management), and DNS (network name/address resolution).

Hacking Multifactor Authentication

Roger A Grimes - 2020

Protect your organization from scandalously easy-to-hack MFA security "solutions"Multi-Factor Authentication (MFA) is spreading like wildfire across digital environments.

However, hundreds of millions of dollars have been stolen from MFA-protected online accounts. How? Most people who use multifactor authentication (MFA) have been told that it is far less hackable than other types of authentication, or even that it is unhackable. You might be shocked to learn that all MFA solutions are actually easy to hack. That's right: there is no perfectly safe MFA solution. In fact, most can be hacked at least five different ways. Hacking Multifactor Authentication will show you how MFA works behind the scenes and how poorly linked multi-step authentication steps allows MFA to be hacked and compromised.This book covers over two dozen ways that various MFA solutions can be hacked, including the methods (and defenses) common to all MFA solutions. You'll learn about the various types of MFA solutions, their strengthens and weaknesses, and how to pick the best, most defensible MFA solution for your (or your customers') needs. Finally, this book reveals a simple method for quickly evaluating your existing MFA solutions. If using or developing a secure MFA solution is important to you, you need this book.Learn how different types of multifactor authentication work behind the scenes See how easy it is to hack MFA security solutions--no matter how secure they seem Identify the strengths and weaknesses in your (or your customers'') existing MFA security and how to mitigate Author Roger Grimes is an internationally known security expert whose work on hacking MFA has generated significant buzz in the security world. Read this book to learn what decisions and preparations your organization needs to take to prevent losses from MFA hacking.

Modern Fortran: Building efficient parallel applications

Milan Curcic - 2020

Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran.

In this guide, you’ll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light.Summary Using Fortran, early and accurate forecasts for hurricanes and other major storms have saved thousands of lives. Better designs for ships, planes, and automobiles have made travel safer, more efficient, and less expensive than ever before. Using Fortran, low-level machine learning and deep learning libraries provide incredibly easy, fast, and insightful analysis of massive data. Fortran is an amazingly powerful and flexible programming language that forms the foundation of high performance computing for research, science, and industry. And it's come a long, long way since starting life on IBM mainframes in 1956. Modern Fortran is natively parallel, so it's uniquely suited for efficiently handling problems like complex simulations, long-range predictions, and ultra-precise designs. If you're working on tasks where speed, accuracy, and efficiency matter, it's time to discover—or re-discover—Fortran.. About the technology For over 60 years Fortran has been powering mission-critical scientific applications, and it isn't slowing down yet! Rock-solid reliability and new support for parallel programming make Fortran an essential language for next-generation high-performance computing. Simply put, the future is in parallel, and Fortran is already there. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran. In this guide, you'll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light. What's inside Fortran's place in the modern world Working with variables, arrays, and functions Module development Parallelism with coarrays, teams, and events Interoperating Fortran with C About the reader For developers and computational scientists. No experience with Fortran required. About the author Milan Curcic is a meteorologist, oceanographer, and author of several general-purpose Fortran libraries and applications. Table of Contents PART 1 - GETTING STARTED WITH MODERN FORTRAN 1 Introducing Fortran 2 Getting started: Minimal working app PART 2 - CORE ELEMENTS OF FORTRAN 3 Writing reusable code with functions and subroutines 4 Organizing your Fortran code using modules 5 Analyzing time series data with arrays 6 Reading, writing, and formatting your data PART 3 - ADVANCED FORTRAN USE 7 Going parallel with Fortan coarrays 8 Working with abstract data using derived types 9 Generic procedures and operators for any data type 10 User-defined operators for derived types PART 4 - THE FINAL STRETCH 11 Interoperability with C: Exposing your app to the web 12 Advanced parallelism with teams, events, and collectives

Interactive Data Visualization with Python: Present Your Data as an Effective and Compelling Story

Abha Belorkar - 2020

Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of PythonKey FeaturesStudy and use Python interactive libraries, such as Bokeh and Plotly Explore different visualization principles and understand when to use which one Create interactive data visualizations with real-world data Book DescriptionWith so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand.

Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python.You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model.By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.What you will learnExplore and apply different interactive data visualization techniques Manipulate plotting parameters and styles to create appealing plots Customize data visualization for different audiences Design data visualizations using interactive libraries Use Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plots Customize data visualization for different scenarios Who this book is forThis book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.

Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner

Bradford Tuckfield - 2020

A fun yet thorough Python-based introduction to algorithms, which are sets of instructions that allow a computer to solve problems.

The book tackles classic algorithms like searching, sorting, and optimization as well as those used in fields like machine learning and artificial intelligence.Dive Into Algorithms is a thorough introduction to algorithms, which are sets of instructions that allow a computer to solve a problem and are key to the success of many of today's computer applications. Readers learn about many standard computer science algorithms including ones for searching, sorting, and optimization as well as newer ones used in machine learning and artificial intelligence. Readers also learn how to understand "real life" algorithms like how a baseball outfielder uses an algorithm to determine where to run to field a ball; how computers can beat humans at games like chess; how a chatbot can understand and respond to human speech; and how algorithms have been used throughout history. Readers need little more than high school math to understand an algorithm and the Python code needed to implement the algorithm -- all of which is introduced line-by-line in order to make the code as understandable as possible.

The Ghidra Book

Chris Eagle - 2020

A guide to using the Ghidra software reverse engineering tool suite.The result of more than a decade of research and development within the NSA, the Ghidra platform was developed to address some of the agency's most challenging reverse-engineering problems.

With the open-source release of this formerly restricted tool suite, one of the world's most capable disassemblers and intuitive decompilers is now in the hands of cybersecurity defenders everywhere -- and The Ghidra Book is the one and only guide you need to master it.In addition to discussing RE techniques useful in analyzing software and malware of all kinds, the book thoroughly introduces Ghidra's components, features, and unique capacity for group collaboration. You'll learn how to:• Navigate a disassembly• Use Ghidra's built-in decompiler to expedite analysis• Analyze obfuscated binaries• Extend Ghidra to recognize new data types• Build new Ghidra analyzers and loaders• Add support for new processors and instruction sets• Script Ghidra tasks to automate workflows• Set up and use a collaborative reverse engineering environmentDesigned for beginner and advanced users alike, The Ghidra Book will effectively prepare you to meet the needs and challenges of RE, so you can analyze files like a pro.

MSSP Playbook: A Guide For MSP's On Their Journey To Becoming A Managed Security- Centric Service Provider

Charles Henson - 2020

Charles Henson, managing partner of Nashville Computer, the premiere cyber security and IT service firm in Music City, offers advice in this book on how MSPs can protect their clients from ransom ware, data theft, and other malicious acts by hackers.

The unfortunate truth is some MSPs' credentials and backend access are available today for sale on the dark web. Small business owners can't afford systems to protect themselves and their clients that cost hundreds of thousands of dollars. That’s why (title of book) is vital. It will walk you through what Charles’ company has done, as well as how he’s worked with other MSPs in building out a security stack. You’ll learn how to vet those essential security vendors, what dangers to look out for, and how to eliminate the need to hire a six-figure security engineer and instead find a strategic partner who has already hired, trained and staffed the Security Operations Center (SOC).

Python Programming: 5 Books in 1 - The Complete Crash Course for Beginners to Mastering Python with Practical Applications to Data Analysis & Analytics, Machine Learning and Data Science Projects

Andrew Park - 2020

Penetration Testing For Dummies (For Dummies (Computer/Tech))

Robert Shimonski - 2020

Mastering Kubernetes: Level up your container orchestration skills with Kubernetes to build, run, secure, and observe large-scale distributed apps, 3rd Edition

Gigi Sayfan - 2020

Critical Code Studies

technology

non-fiction

Mark C. Marino - 2020

An argument that we must read code for more than what it does—we must consider what it means.Computer source code has become part of popular discourse.

Code is read not only by programmers but by lawyers, artists, pundits, reporters, political activists, and literary scholars; it is used in political debate, works of art, popular entertainment, and historical accounts. In this book, Mark Marino argues that code means more than merely what it does; we must also consider what it means. We need to learn to read code critically. Marino presents a series of case studies—ranging from the Climategate scandal to a hactivist art project on the US-Mexico border—as lessons in critical code reading.Marino shows how, in the process of its circulation, the meaning of code changes beyond its functional role to include connotations and implications, opening it up to interpretation and inference—and misinterpretation and reappropriation. The Climategate controversy, for example, stemmed from a misreading of a bit of placeholder code as a “smoking gun” that supposedly proved fabrication of climate data. A poetry generator created by Nick Montfort was remixed and reimagined by other poets, and subject to literary interpretation.Each case study begins by presenting a small and self-contained passage of code—by coders as disparate as programming pioneer Grace Hopper and philosopher Friedrich Kittler—and an accessible explanation of its context and functioning. Marino then explores its extra-functional significance, demonstrating a variety of interpretive approaches.

Practical Deep Learning: A Python-Based Introduction

Ronald T. Kneusel - 2020

This book is for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction to deep learning using Python.Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning.

It introduces fundamental concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic machine learning models, neural networks, and modern convolutional neural networks. Experiments in Python--working with leading open-source toolkits and standard datasets--give the reader hands-on experience with each model and help them build intuition about how to transfer the examples in the book to their own projects.Readers start with an introduction to the Python language and the NumPy extension that is ubiquitous in machine learning. Prominent toolkits, like sklearn and Keras/TensorFlow are used as the backbone to enable readers to focus on the elements of machine learning without the burden of writing implementations from scratch. An entire chapter on evaluating the performance of models gives the reader the knowledge necessary to understand claims on performance and to know which models are working well and which are not. The book culminates by presenting convolutional neural networks as an introduction to modern deep learning. Understanding how these networks work and how they are affected by parameter choices leaves the reader with the core knowledge necessary to dive into the larger, ever-changing world of deep learning.

Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems

machine-learning

python

ebook

Eyal Wirsansky - 2020

Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy Key Features Explore the ins and outs of genetic algorithms with this fast-paced guide Implement tasks such as feature selection, search optimization, and cluster analysis using Python Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications Book Description Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution.

By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence.After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications.By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains. What you will learn Understand how to use state-of-the-art Python tools to create genetic algorithm-based applications Use genetic algorithms to optimize functions and solve planning and scheduling problems Enhance the performance of machine learning models and optimize deep learning network architecture Apply genetic algorithms to reinforcement learning tasks using OpenAI Gym Explore how images can be reconstructed using a set of semi-transparent shapes Discover other bio-inspired techniques, such as genetic programming and particle swarm optimization Who this book is for This book is for software developers, data scientists, and AI enthusiasts who want to use genetic algorithms to carry out intelligent tasks in their applications. Working knowledge of Python and basic knowledge of mathematics and computer science will help you get the most out of this book. Table of Contents An Introduction to Genetic Algorithms Understanding the Key Components of Genetic Algorithms Using the DEAP Framework Combinatorial Optimization Constraint Satisfaction Optimizing Continuous Functions Enhancing Machine Learning Models Using Feature Selection Hyperparameter Tuning Machine Learning Models Architecture Optimization of Deep Learning Networks Reinforcement Learning with Genetic Algorithms Genetic Image Reconstruction Other Evolutionary and Bio-Inspired Computation Techniques

Letters to a New Developer: What I Wish I Had Known When Starting My Development Career

Dan Moore - 2020

Learn what you need to succeed as a developer beyond the code.

The lessons in this book will supercharge your career by sharing lessons and mistakes from real developers.Wouldn't it be nice to learn from others' career mistakes? "Soft" skills are crucial to success, but are haphazardly picked up on the job or, worse, never learned. Understanding these competencies and how to improve them will make you a more effective team member and a more attractive hire.This book will teach you the key skills you need, including how to ask questions, how and when to use common tools, and how to interact with other team members. Each will be presented in context and from multiple perspectives so you'll be able to integrate them and apply them to your own career quickly.What You'll LearnKnow when the best code is no codeUnderstand what to do in the first month of your jobSee the surprising number of developers who can't programAvoid the pitfalls of working aloneWho This Book Is ForAnyone who is curious about software development as a career choice. You have zero to five years of software development experience and want to learn non-technical skills that can help your career. It is also suitable for teachers and mentors who want to provide guidance to their students and/or mentees.

Explore Software Defined Radio

Wolfram Donat - 2020

Combine your desktop or laptop computer with easy-to-find Software Defined Radio (SDR) equipment, and tune in a wide range of signals in no time at all.

Then, go one step further by converting a Raspberry Pi into your own dedicated SDR device.SDR USB dongles are usually designed to receive and decode high-definition digital television broadcasts, but the rising popularity of SDR has led to several of these devices being specifically made for—and marketed to—the software radio crowd. With step-by-step instructions, you’ll have no problem getting everything up and running on both Windows and Linux.The antenna is the final piece in the SDR puzzle: Which antenna do you use? What shape do you need? How big does it have to be? And where do you point it? Get all the answers you need and learn what’s possible when it comes to picking out or building an antenna. And if you’re not particularly handy, don’t worry. You can use an old-school set of rabbit ear antennas without too much modification.Discover the fun of this growing hobby and then open your ears to the hidden signals that surround you.

Python for beginners: Learn Coding, Programming, Data analysis and Algorithmic thinking with the latest Python Crash Course. A starter guide with tips and tricks for the apprentice programmer.

William Wizner - 2020

Are you looking for a crash course to learn coding, programming, data analysis, and algorithmic thinking with Python? If yes, then keep reading... Programming is one of the areas in networks that most people in the world focus on as a source of income.

With the availability of many cording creation options such as C ++, Python, and Java, you can choose a method that you are expert in, and that will also facilitate your work.In this book, we will focus on Python and why it is better than other programming languages.Python is one of the most advanced programming tools because anyone, including beginners or experts, can easily use and read it. You can read it because it contains syntax, which allows you as a programmer to express your concepts without necessarily creating a coding page. This is what makes Python easier to use and read than the other codes.Python programming was discovered by Guido Van Rossum in 1989. According to Van Rossum, the strength of the python language is that you can either keep it simple or extend it to more platforms to support many platforms at once. The design allowed the system to communicate with the libraries and various file formats easily. Since its introduction, many programmers now use Python in the world, and in fact, many tools are included to improve operation and efficiency. A few years ago, Python was made open source by Van Rossum, to allow all programmers access and even make changes to it. This has changed a lot in the field of programming.This book covers: Installing PythonPython Loops and NumbersData TypesVariable in PythonInputs, Printing, and Formatting Outputs...and much more!!!So, ready to get started?Click "Buy Now"!

The Docker Workshop: Learn how to use Docker containers effectively to speed up the development process

ebook-shelf

ebooks

tools

Vincent Sesto - 2020

The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition

_ebook

canned

Matthew Moocarme - 2020

C Programming for Dummies

c_planned_excel_p<br/>ython

languages

calibre

Dan Gookin - 2020

Get an A grade in CAs with any major language, mastery of C can take you to some very interesting new places.

Almost 50 years after it first appeared, it's still the world's most popular programming language and is used as the basis of global industry's core systems, including operating systems, high-performance graphics applications, and microcontrollers. This means that fluent C users are in big demand at the sharp end in cutting-edge industries--such as gaming, app development, telecommunications, engineering, and even animation--to translate innovative ideas into a smoothly functioning reality.To help you get to where you want to go with C, this 2nd edition of C Programming For Dummies covers everything you need to begin writing programs, guiding you logically through the development cycle: from initial design and testing to deployment and live iteration. By the end you'll be au fait with the do's and don'ts of good clean writing and easily able to produce the basic--and not-so-basic--building blocks of an elegant and efficient source code.Write and compile source code Link code to create the executable program Debug and optimize your code Avoid common mistakes Whatever your destination: tech industry, start-up, or just developing for pleasure at home, this easy-to-follow, informative, and entertaining guide to the C programming language is the fastest and friendliest way to get there!

Information Technology and Military Power

Jon R. Lindsay - 2020

Jon R.

Lindsay explains why he believes popular ideas about the military potential of information technology are fundamentally flawed and why military performance depends instead on organizational and strategic context

Docker for Developers: Develop and run your application with Docker containers using DevOps tools for continuous delivery

Richard Bullington-McGuire - 2020

Handbook of Game-Based Learning

education

nonfiction

game-studies

Jan L Plass - 2020

A comprehensive introduction to the latest research and theory on learning and instruction with computer games.This book offers a comprehensive introduction to the latest research on learning and instruction with computer games.

Unlike other books on the topic, which emphasize game development or best practices, Handbook of Game-Based Learning is based on empirical findings and grounded in psychological and learning sciences theory. The contributors, all leading researchers in the field, offer a range of perspectives, including cognitive, motivational, affective, and sociocultural. They explore research on whether (and how) computer games can help students learn educational content and academic skills; which game features (including feedback, incentives, adaptivity, narrative theme, and game mechanics) can improve the instructional effectiveness of these games; and applications, including games for learning in STEM disciplines, for training cognitive skills, for workforce learning, and for assessment. The Handbook offers an indispensable reference both for readers with practical interests in designing or selecting effective game-based learning environments and for scholars who conduct or evaluate research in the field. It can also be used in courses related to play, cognition, motivation, affect, instruction, and technology.ContributorsRoger Azevedo, Ryan S. Baker, Daphne Bavelier, Amanda E. Bradbury, Ruth C. Clark, Michele D. Dickey, Hamadi Henderson, Bruce D. Homer, Fengfeng Ke, Younsu Kim, Charles E. Kinzer, Eric Klopfer, James C. Lester, Kristina Loderer, Richard E. Mayer, Bradford W. Mott, Nicholas V. Mudrick, Brian Nelson, Frank Nguyen, V. Elizabeth Owen, Shashank Pawar, Reinhard Pekrun, Jan L. Plass, Charles Raffale, Jonathon Reinhardt, C. Scott Rigby, Jonathan P. Rowe, Richard M. Ryan, Ruth N. Schwartz, Quinnipiac Valerie J. Shute, Randall D. Spain, Constance Steinkuehler, Frankie Tam, Michelle Taub, Meredith Thompson, Steven L. Thorne, A. M. Tsaasan

Malware Analysis and Detection Engineering: A Comprehensive Approach to Detect and Analyze Modern Malware

security

science

hardware

Abhijit Mohanta - 2020

Discover how the internals of malware work and how you can analyze and detect it.

You will learn not only how to analyze and reverse malware, but also how to classify and categorize it, giving you insight into the intent of the malware. Malware Analysis and Detection Engineering is a one-stop guide to malware analysis that simplifies the topic by teaching you undocumented tricks used by analysts in the industry. You will be able to extend your expertise to analyze and reverse the challenges that malicious software throws at you.The book starts with an introduction to malware analysis and reverse engineering to provide insight on the different types of malware and also the terminology used in the anti-malware industry. You will know how to set up an isolated lab environment to safely execute and analyze malware. You will learn about malware packing, code injection, and process hollowing plus how to analyze, reverse, classify, and categorize malware using static and dynamic tools. You will be able to automate your malware analysis process by exploring detection tools to modify and trace malware programs, including sandboxes, IDS/IPS, anti-virus, and Windows binary instrumentation.The book provides comprehensive content in combination with hands-on exercises to help you dig into the details of malware dissection, giving you the confidence to tackle malware that enters your environment. What You Will LearnAnalyze, dissect, reverse engineer, and classify malwareEffectively handle malware with custom packers and compilersUnpack complex malware to locate vital malware components and decipher their intentUse various static and dynamic malware analysis toolsLeverage the internals of various detection engineering tools to improve your workflowWrite Snort rules and learn to use them with Suricata IDS Who This Book Is ForSecurity professionals, malware analysts, SOC analysts, incident responders, detection engineers, reverse engineers, and network security engineers"This book is a beast! If you're looking to master the ever-widening field of malware analysis, look no further. This is the definitive guide for you." Pedram Amini, CTO Inquest; Founder OpenRCE.org and ZeroDayInitiative

Getting to Know ArcGIS Pro 2.6

Michael Law - 2020

Continuing the tradition of the best-selling Getting to Know series, Getting to Know ArcGIS Pro 2.6 teaches new and existing GIS users how to get started solving problems using ArcGIS Pro.

Using ArcGIS Pro for these tasks allows you to understand complex data with the leading GIS software that many businesses and organizations use every day.Getting to Know ArcGIS Pro 2.6 introduces the basic tools and capabilities of ArcGIS Pro through practical project workflows that demonstrate best practices for productivity. Explore spatial relationships, building a geodatabase, 3D GIS, project presentation, and more. Learn how to navigate ArcGIS Pro and ArcGIS Online by visualizing, querying, creating, editing, analyzing, and presenting geospatial data in both 2D and 3D environments. Using figures to show each step, Getting to Know ArcGIS Pro 2.6 demystifies complicated process like developing a geoprocessing model, using Python to write a script tool, and the creation of space-time cubes. Cartographic techniques for both web and physical maps are included.Each chapter begins with a prompt using a real-world scenario in a different industry to help you explore how ArcGIS Pro can be applied for operational efficiency, analysis, and problem solving. A summary and glossary terms at the end of every chapter help reinforce the lessons and skills learned.Ideal for students, self-learners, and seasoned professionals looking to learn a new GIS product, Getting to Know ArcGIS Pro 2.6 is a broad textbook and desk reference designed to leave users feeling confident in using ArcGIS Pro on their own.

Python Automation Cookbook: 75 Python Automation Ideas for Web Scraping, Data Wrangling, and Processing Excel, Reports, Emails, and More

_ebook

ebook

mathematics

Jaime Buelta - 2020

China's Quest for Foreign Technology: Beyond Espionage

china

political-science

international-relations

espionage

William C Hannas - 2020

This book analyzes China's foreign technology acquisition activity and how this has helped its rapid rise to superpower status.Since 1949, China has operated a vast and unique system of foreign technology spotting and transfer aimed at accelerating civilian and military development, reducing the cost of basic research, and shoring up its power domestically and abroad--without running the political risks borne by liberal societies as a basis for their creative developments.

While discounted in some circles as derivative and consigned to perpetual catch-up mode, China's hybrid system of legal, illegal, and extralegal import of foreign technology, combined with its indigenous efforts, is, the authors believe, enormously effective and must be taken seriously. Accordingly, in this volume, 17 international specialists combine their scholarship to portray the system's structure and functioning in heretofore unseen detail, using primary Chinese sources to demonstrate the perniciousness of the problem in a manner not likely to be controverted. The book concludes with a series of recommendations culled from the authors' interactions with experts worldwide.This book will be of much interest to students of Chinese politics, US foreign policy, intelligence studies, science and technology studies, and International Relations in general.

Pro ASP.NET Core 3: Develop Cloud-Ready Web Applications Using MVC, Blazor, and Razor Pages

Adam Freeman - 2020

Now in its 8th edition, Pro ASP.NET Core has been thoroughly updated for ASP.NET Core 3 and online for ASP.NET Core 5 and .NET 5.0.

This comprehensive, full-color guide is the only book you need to learn ASP.NET Core development.Professional developers get ready to produce leaner applications for the ASP.NET Core platform. This edition puts ASP.NET Core 3 into context, and takes a deep dive into the tools and techniques required to build modern, extensible web applications. New features and capabilities such as MVC 3, Razor Pages, Blazor Server, and Blazor WebAssembly are covered, along with demonstrations of how they can be applied in practice.Following the same popular format and style found in previous editions, author Adam Freeman explains how to get the most out of ASP.NET Core 3. Starting with the nuts-and-bolts topics, he teaches readers about middleware components, built-in services, request model binding, and more. Moving along, he introduces increasingly more complex topics and advanced features, including endpoint routing and dependency injection.Written for professionals wanting to incorporate the latest functionality of ASP.NET Core 3 into their projects, this book also serves as a complete reference on ASP.NET Core. Beginners with some background in Microsoft web development will also greatly benefit from the in-depth coverage provided throughout.What You Will LearnBuild a solid foundation and skill set for working with the entire ASP.NET Core platformApply ASP.NET Core 3 and ASP.NET Core 5 features in your developer environment; plentiful reusable templatesSee how to create RESTful web services, web applications, and client-side applicationsLeverage existing knowledge to efficiently get up and running with new programming modelsAdam Freeman is an experienced IT professional who has held senior positions in a range of companies, most recently serving as chief technology officer and chief operating officer of a global bank. Now retired, he spends his time writing and long-distance running."The Rolls-Royce of ASP.NET books, (or if you're American, the Cadillac). Very thorough!"Les Jackson, MCSD, DotNet Playbook"The author's instruction is direct, easy to understand and supplemented with clear code examples... Whether you are a beginner learning ASP.NET Core 3.1 app development, or an experienced professional ready to master advanced concepts, I consider this book a 'must have' for you!"Jeremy Likness, Senior Program Manager, Microsoft"...the best single resource for teaching MVC web apps using ASP.NET. "Charles Carter, MSCS, MSwE, JD, Cloud Application Development Instructor, Microsoft Software and Systems Academy

31 Days Before your CCNA Exam: A Day-By-Day Review Guide for the CCNA 200-301 Certification Exam

Allan Johnson - 2020

Master Data Science and Data Analysis with Pandas

Arun Kumar - 2020

kubectl: Command-Line Kubernetes in a Nutshell: Deploy, manage, and debug container workloads using the Kubernetes CLI

agile

cloud

tech

Rimantas Mocevicius - 2020

How to Build and Design a Website using WordPress : A Step-by-Step Guide with Screenshots

William S. Page - 2020

Python Programming Crash Course: A Smarter and Faster Beginner’s Step by Step Guide to Learn Python Programming with Practical Exercises, Interview Questions, and Tips and Tricks

Brayden Smith Smith - 2020

Docker Certified Associate (DCA): Exam Guide: Enhance and validate your Docker skills by gaining Docker certification

Francisco Javier Ramírez Urea - 2020

The Statistics and Calculus with Python Workshop: A comprehensive introduction to mathematics in Python for artificial intelligence applications

Peter Farrell - 2020

Python Machine Learning by Example - Third Edition: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn

Yuxi (Hayden) Liu - 2020

A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniquesKey FeaturesDive into machine learning algorithms to solve the complex challenges faced by data scientists todayExplore cutting edge content reflecting deep learning and reinforcement learning developmentsUse updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-endBook DescriptionPython Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Na�ve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming.

Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP.By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.What you will learnUnderstand the important concepts in ML and data scienceUse Python to explore the world of data mining and analyticsScale up model training using varied data complexities with Apache SparkDelve deep into text analysis and NLP using Python libraries such NLTK and GensimSelect and build an ML model and evaluate and optimize its performanceImplement ML algorithms from scratch in Python, TensorFlow 2, PyTorch, and scikit-learnWho this book is forIf you're a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you.Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary.

Get SH*T Done with PyTorch: Solve Real-World Machine Learning Problems with Deep Neural Networks in Python

Venelin Valkov - 2020

Python Machine Learning: The Beginner's Guide To Learn Python Machine Learning Including Keras, Numpy, Scikit Learn and PyTorch.

python-make-money-online-pmmo

_ebook

academia

Lilly Trinity - 2020

Python is high-level programming, general- purpose language that is increasingly used in data science and the design of machine learning algorithms.

This book gives a quick introduction to Python and its libraries such as numpy, scipy, pandas, matplotlib, and how it can be used to develop machine learning algorithms that solve real problems. In this book, you will discover information and advices on: What machine learning is Libraries and Packages used to perform various machine learning tasks Applications of machine learning How to install python on your system Data pre-processing techniques Techniques and Algorithm used in machine learning And more... This book begins with an introduction to machine learning and the Python language and explains how to configure Python and its packages. It also covers all important concepts such as exploratory data analysis, data pre-processing, feature extraction, data visualization, and grouping, classification, regression, and performance evaluation of the model. This book also features several projects that teach techniques and features such as sorting news topics, detecting junk e-mail, forecasting online ad clicks, stock price forecasting, and several other machine learning algorithms. We have written this book for professionals who are willing to learn the basics of Python and develop applications and software by making use of the machine learning techniques such as grouping, recommendation, and classification. In this book, you will be taught how to solve data problems and implement your solutions using the powerful but simple Python programming language and its packages. After reading this book, you will get a broad overview of the machine learning environment and best practices for machine learning techniques.

Learn Docker - Fundamentals of Docker 19.x: Build, test, ship, and run containers with Docker and Kubernetes, 2nd Edition

devops

epub

infrastructure-ops-by-o-reilly

Gabriel N. Schenker - 2020

Introduction to Scientific Programming with Python (Simula SpringerBriefs on Computing Book 6)

Joakim Sundnes - 2020

How Pac-Man Eats

Noah Wardrip-Fruin - 2020

How the tools and concepts for making games are connected to what games can and do mean; with examples ranging from Papers, Please to Dys4ia.In How Pac-Man Eats, Noah Wardrip-Fruin considers two questions: What are the fundamental ways that games work? And how can games be about something? Wardrip-Fruin argues that the two issues are related.

Bridging formalist and culturally engaged approaches, he shows how the tools and concepts for making games are connected to what games can and do mean.Wardrip-Fruin proposes that games work at a fundamental level on which their mechanics depend: operational logics. Games are about things because they use play to address topics; they do this through playable models (of which operational logics are the primary building blocks): larger structures used to represent what happens in a game world that relate meaningfully to a theme. Game creators can expand the expressiveness of games, Wardrip-Fruin explains, by expanding an operational logic. Pac-Man can eat, for example, because a game designer expanded the meaning of collision from hitting things to consuming them. Wardrip-Fruin describes strategies game creators use to expand what can be said through games, with examples drawn from indie games, art games, and research games that address themes ranging from border policy to gender transition. These include Papers, Please, which illustrates expansive uses of pattern matching; Prom Week, for which the game's developers created a model of social volition to enable richer relationships between characters; and Dys4ia, which demonstrates a design approach that supports game metaphors of high complexity.

Migrating to Aws: A Manager's Guide: How to Foster Agility, Reduce Costs, and Bring a Competitive Edge to Your Business

ebook

ebook-informatique

technical-reference

Jeff Armstrong - 2020

Bring agility, cost savings, and a competitive edge to your business by migrating your IT infrastructure to AWS.

With this practical book, executive and senior leadership and engineering and IT managers will examine the advantages, disadvantages, and common pitfalls when moving your company's operations to the cloud.Author Jeff Armstrong brings years of practical hands-on experience helping dozens of enterprises make this corporate change. You'll explore real-world examples from many organizations that have made--or attempted to make--this wide-ranging transition. Once you read this guide, you'll be better prepared to evaluate your migration objectively before, during, and after the process in order to ensure success.Learn the benefits and drawbacks of migrating to AWS, including the risks to your business and technologyBegin the process by discovering the applications and servers in your environmentExamine the value of AWS migration when building your business caseAddress your operational readiness before you migrateDefine your AWS account structure and cloud governance controlsCreate your migration plan in waves of servers and applicationsRefactor applications that will benefit from using more cloud native resources

Microservices: Up and Running: A Step-By-Step Guide to Building a Microservices Architecture

microservices

software-architecture