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Introduction xxxiPART I: GETTING STARTEDChapter 1 Installing Ubuntu and Post-Installation Configuration 1Before You Begin the Installation 1 Researching Your Hardware Specifications 2 Installation Options 2 32-Bit Versus 64-Bit Ubuntu 4 Planning Partition Strategies 5 The Boot Loader 5 Installing from DVD or USB Drive 6Step-by-Step Installation 6 Installing 7 First Update 11Shutting Down 11Finding Programs and Files 12Software Updater 12The sudo Command 14Configuring Software Repositories 15System Settings 17 Detecting and Configuring a Printer 18 Configuring Power Management in Ubuntu 18 Setting the Time and Date 19Configuring Wireless Networks 20Troubleshooting Post-Installation Configuration Problems 21Chapter 2 Background Information and Resources 23What Is Linux? 23Why Use Linux? 25What Is Ubuntu? 27Ubuntu for Business 27Ubuntu in Your Home 28Getting the Most from Linux and Ubuntu Documentation 28 Linux 29 Ubuntu 30PART II: DESKTOP UBUNTUChapter 3 Foundations of the Linux GUI 31Foundations and the X Server 31 Basic X Concepts 32 Using X 33 Elements of the xorg conf File 34Starting X 39 Using a Display Manager 39 Changing Window Managers 39Chapter 4 Ubuntu Desktop Options 41Desktop Environment 41Using GNOME: A Primer 42KDE and Kubuntu 45Xfce and Xubuntu 46LXDE and Lubuntu 47MATE and Ubuntu MATE 48Ubuntu Budgie 49Ubuntu Kylin 50Chapter 5 On the Internet 51Getting Started with Firefox 52Checking Out Google Chrome and Chromium 53Chapter 6 Productivity Applications 55Introducing LibreOffice 56Other Useful Productivity Software 58 Working with PDFs 58 Writing Scripts 59 Working with XML and DocBook 59 Working with LaTeX 60 Creating Mind Maps 61Productivity Applications Written for Microsoft Windows 61Chapter 7 Multimedia Applications 63Sound and Music 63 Sound Cards 64 Sound Formats 65 Listening to Music 65Graphics Manipulation 66 The GNU Image Manipulation Program 66 Using Scanners in Ubuntu 67 Working with Graphics Formats 67 Capturing Screen Images 69 Other Graphics Manipulation Options 70Using Digital Cameras with Ubuntu 70 Handheld Digital Cameras 70 Using Shotwell Photo Manager 71Burning CDs and DVDs in Ubuntu 71 Creating CDs and DVDs with Brasero 71 Creating CDs from the Command Line 72 Creating DVDs from the Command Line 73Viewing Video 75 Video Formats 75 Viewing Video in Linux 76Recording and Editing Audio 76Editing Video 77Chapter 8 Games 79Ubuntu Gaming 79Installing Proprietary Video Drivers 80Online Game Sources 81 Steam 81 GOG com 82 Humble 82 itch io 82 LGDB 82 Game Jolt 82Installing Games from the Ubuntu Repositories 82 Warsow 82 Scorched 3D 83 Frozen Bubble 84 SuperTux 84 Battle for Wesnoth 85 Frets on Fire 85 FlightGear 87 Speed Dreams 87 Games for Kids 88 Commercial Games 88Playing Windows Games 88PART III: SYSTEM ADMINISTRATIONChapter 9 Managing Software 91Ubuntu Software 91Using Synaptic for Software Management 92Staying Up to Date 94Working on the Command Line 95 Day-to-Day APT Usage 95 Finding Software 98 Using apt-get Instead of apt 99Compiling Software from Source 100 Compiling from a Tarball 100 Compiling from Source from the Ubuntu Repositories 101Configuration Management 102 dotdee 102 Ubuntu Core 103Using the Snappy Package Manager 103Chapter 10 Command-Line Beginners Class 105What Is the Command Line? 106Accessing the Command Line 107 Text-Based Console Login 107 Logging Out 108 Logging In and Out from a Remote Computer 108User Accounts 109Reading Documentation 111 Using Man Pages 111 Using apropros 112 Using whereis 112Understanding the Linux File System Hierarchy 112 Essential Commands in /bin and /sbin 114 Configuration Files in /etc 114 User Directories: /home 115 Using the Contents of the /proc Directory to Interact with or Obtain Information from the Kernel 115 Working with Shared Data in the /usr Directory 11

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I had my fair share in designing and building large systems. I've taken part in rewriting Uber's distributed payment systems, designing and shipping Skype on Xbox One and open-sourcing RIBs, Uber's mobile architecture framework. All of these systems had thorough designs, going through multiple iterations and had lots of whiteboarding and discussion. The designs then boiled down to a design document that was circulated for more feedback before we started building.


All of these systems were large at scale: hundreds of developers build them - or on top of them - and they power systems used by millions of people per day. They were also not just greenfield projects. The payments system rewrite had to replace two, existing payments systems, used by tens of systems and dozens of teams, all without having any business impact. Rewriting the Uber app was a project that a few hundred engineers worked simultaneously on, porting existing functionality to a new architecture.


Let me start with a few things that might sound surprising. 
First, none of these designs used any of the standard software architecture planning tools. 
We did not use UML, nor the 4+1 model, nor ADR, nor C4, nor dependency diagrams. We created plenty of diagrams, but none of them followed any strict rules. Just plain old boxes and arrows, similar this one describing information flow or this one outlining class structure and relationships between components. Two diagrams within the same design document often had a different layout and were often added and modified by different engineers.



Second, there were no architects on the teams that owned the design
. No IT architects or enterprise architects. True, neither Uber nor Skype/Microsoft have hands-off software architect positions. Engineers at higher levels, like staff engineers, are expected to still regularly code. For all the projects, we did have experienced engineers involved. However, no one person owned the architecture or design. While these experienced developers drove the design process, even the most junior team members were involved, often challenging decisions and offering other alternatives to discuss.



Third, we had practically no references to the common architecture patterns
 and other jargon referenced in common software architecture literature, such as Martin Fowler's architecture guide. No mentions of microservices, serverless architecture, application boundaries, event-driven architecture, and the lot. Some of these did come up during brainstormings. However, there was no need to reference them in the design documents themselves.



Why was our approach different from what is commonly referred to in software architecture literature? 
Actually, our approach is not that different in principle, to most architecture guides. Almost all guides suggest starting with the business problem and outlining solutions and tradeoffs: which is also what we do. What we don't do is use many of the more complex tools that many architects or architecture books advocate for. We document the design as simple as we can, using the most straightforward tools: tools like Google Docs or Office365.


I know of banks and automotive companies where developers are actively discouraged from making any architecture decisions without going up the chain, getting signoff from architects a few levels up, who are overseeing several teams. This becomes a slower process, and architects can get overwhelmed with many requests. So these architects create more formal documents, in hopes of making the system more clear, using much more of the tools the common literature describes. These documents also reinforce a top-down approach, as it is more intimidating for an engineer, who is not an architect, to question or challenge the decisions that have already b

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BitLocker likely ensured that a recovery key was safely backed up prior to activating protection. There are several places that your recovery key may be, depending on the choice that was made when activating BitLocker:


In a work or school account:
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Your BitLocker recovery key is a unique 48-digit numerical password that can be used to unlock your system if BitLocker is otherwise unable to confirm for certain that the attempt to access the system drive is authorized.


Windows will require a BitLocker recovery key when it detects a possible unauthorized attempt to access the data. This extra step is a security precaution intended to keep your data safe and secure. This can also happen if you make changes in hardware, firmware, or software which BitLocker cannot distinguish from a possible attack. In these cases, BitLocker may require the extra security of the recovery key even if the user is an authorized owner of the device. This is to be certain that the person trying to unlock the data really is authorized.


Your device is a modern device that meets certain requirements to automatically enable device encryption:
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Microsoft leaves them tucked away so it can unlock (or disable bitlocker, it amounts to the same thing) during Windows updates which require an automatic reboot (that can actually be disabled, google is your friend if you're sufficiently worried/paranoid to bother). However, they're stored inside the encrypted portion, to gain access to steal them you must by definition have access to them to decrypt the drive to begin with. If a baddie has access to the unlocked drive it's game over for security in any case, the keys have by definition to be in memory somewhere, and the data is all in plain text without them needing to grab them.

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Stay in your flow and complete tasks faster with the help of multi-line suggestions prompted by your code and code comments. Building new functionality, writing unit tests, and learning new technologies has never been easier or more fun.


The Visual Studio IDE is a creative launching pad that you can use to edit, debug, and build code, and then publish an app. Over and above the standard editor and debugger that most IDEs provide, Visual Studio includes compilers, code completion tools, graphical designers, and many more features to enhance the software development process.


Visual Studio Code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux. It comes with built-in support for JavaScript, TypeScript and Node.js and has a rich ecosystem of extensions for other languages and runtimes (such as C++, C#, Java, Python, PHP, Go, .NET).


Your software is assembled as well as created. It includes more than open source and proprietary code. To build software users can trust, you must address the security of everything that goes into it.


In order to produce a functional piece of software from AI, you need to know what you want and be able to clearly and precisely define it. There are times when I'm writing software just for myself where I don't realize some of the difficulties and challenges until I actually start writing code.


Over the past decade, the software industry has transitioned from the waterfall methodology to agile. Waterfall defines exactly what you want before any code is written, while agile allows enough flexibility so you can make adjustments along the way.


AI might be best suited to rewrite the software we already have but need to rewrite it to use newer hardware or a more modern programming language. There are still a lot of institutions with software written in COBOL, but there are fewer programmers learning how to use it. If you know exactly what you want, maybe you could get AI to produce software faster and cheaper than a team of human programmers. I believe AI could create the software that has already been created faster than human programmers but that's because someone figured out what that software should do along the way.


Code coverage is a metric that can help you understand how much of your source is tested. It's a very useful metric that can help you assess the quality of your test suite, and we will see here how you can get started with your projects.





Code coverage tools will use one or more criteria to determine how your code was exercised or not during the execution of your test suite. The common metrics that you might see mentioned in your coverage reports include:



 We can use the coverage tool istanbul to see how much of our code is executed when we run this script. After running the coverage tool we get a coverage report showing our coverage metrics. We can see that while our Function Coverage is 100%, our Branch Coverage is only 50%. We can also see that the isntanbul code coverage tool isn't calculating a Condition Coverage metric.


In this example, we were just logging results in the terminal but the same principal applies when you run your test suite. Your code coverage tool will monitor the execution of your test suite and tell you how much of the statements, branches, functions and lines were run as part of your tests.


A comparison of tools can also help you make your decision. Some tools like istanbul will output the results straight into your terminal while others can generate a full HTML report that lets you explore which part of the code are lacking coverage.


There's no silver bullet in code coverage, and a high percentage of coverage could still be problematic if critical parts of the application are not being tested, or if the existing tes

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