The Computers & Technology category has 840 audiobooks on Listento.it, with an average listener rating of 3.9★ across 1,046 ratings. The most-rated is Life 3.0.
Ten Short Lessons in Artificial Intelligence and Robotics
Summary
Leading computer science expert Professor Peter J. Bentley breaks down the fast-moving world of computers in the time of automata into 10 pivotal lessons. In Ten Short Lessons in Artificial Intelligence and Robotics, leading expert Professor Peter J. Bentley breaks down the fast-moving world of computers in the time of automata into 10 pivotal lessons, presenting the listener with the essential information they need to get to grips with our most powerful technology and its remarkable implications for our species. From the origins and motivation behind the birth of AI and robotics, to using smart algorithms that allow us to build good robots, to the technologies that enable computers to understand a huge range of sensory information, including language and communication, to the challenges of emotional intelligence, unpredictable environments and imagination in artificial intelligence, this is a cutting-edge, expert-led guide for curious minds. About the series: the Pocket Einstein series is a collection of essential guides for anyone looking to understand a little more about some of the most relevant science that affects us all in the 21st century. Broken down into 10 simple lessons and written by leading experts in their field, discover the 10 most important takeaways from those areas of science we should all know more about.
©2020 Peter J. Bentley (P)2020 W. F. Howes Ltd
We Have Root
Summary
In his latest collection of essays, security expert Bruce Schneier tackles a range of cybersecurity, privacy, and real-world security issues ripped from the headlines. Essays cover the ever-expanding role of technology in national security, war, transportation, the Internet of Things, elections, and more. Throughout, he challenges the status quo with a call for leaders, voters, and consumers to make better security and privacy decisions and investments. Bruce's writing has previously appeared in some of the world's best-known and most-respected publications, including The Atlantic, the Wall Street Journal, CNN, the New York Times, the Washington Post, Wired, and many others. And now you can enjoy his essays in one place - at your own speed and convenience. Timely security and privacy topics The impact of security and privacy on our world Perfect for fans of Bruce's blog and newsletter The essays are written for anyone who cares about the future and implications of security and privacy for society.
©2019 Brice Schneier (P)2019 Recorded Books
How to Start a Blog
Summary
Multiple opportunities to monetize your blog! Are you interested in making money with your blog? If you currently own a blog and you wish to monetize it for profits, this book has done an amazing job at laying down the process for you to follow. The step by step process laid out in this book is designed to help you reach and exceed your financial goals for your blog. Let me ask you a simple question. Could you use an extra income that is consistent and steady? If your answer is yes, this book is right for you. Learn the highly effective techniques and tools that you can use to generate steady stream of income from your blogs daily. From affiliate marketing to advertising, there’s plenty of ways to make money from your blog. And you will learn the strategies to use them all to grow your income sufficiently. Don’t get stuck with only one method of monetizing your blog, take full advantage of the effective money-making insights demonstrated in the book. Learn the traps you need to avoid, and the ways to make big money online from blogging Get incredible insights on how to scale a money-making blog, even as a beginner Master the art of monetizing blogs, irrespective of your niche Enjoy the freedom of making money online Drive traffic to your blog! Learn exactly how to increase your monthly traffic from hundreds to tens of thousands and grow an audience/following base that remain loyal to your blog. Generate organic traffic from search engines like Google and significantly increase your income by seizing the opportunities presented in the book. The techniques in the book are phenomenal in terms of generating profits and stable income from blogging. It sets you on a steady path to financial freedom. Buy this audiobook today!
©2020 Frederick Kerky (P)2020 Frederick Kerky
Free Is Bad
Summary
Almost everything we consume online is free. Email, search, news, entertainment. But those apps on our phones aren't really free - so if we're not paying, who is? The surveillance marketing industry. It doesn't have to be this way. Web pioneers tried to invent new payment methods. Google's founders were dead set against advertising. Email wasn't always open to data mining. Yet here we are. Why? Because business can exploit our desire that "Information wants to be free", and yet someone needs to pay. It started way back in the early days of the republic, evolved with newspapers, radio and broadcast TV, and persists today online. Be the customer, not the product. In Free Is Bad, digital marketing entrepreneur John Marshall explores the web industry's early history and its search for viable business models. It's an investigation of how an evolutionary accident in the design of the web resulted in the ad-tech industry, enabling "free" as the default model for technology products like search and email, and for media products like news and entertainment. How did we become the product? Why that has led to the fracturing of society How new, people-first businesses are improving matters Free Is Bad offers not just a critique but optimism for a future where we control our online destiny. It also provides practical steps that will immediately improve your privacy and quality of information. Ultimately, we're better off being the customer and not the product, because Free Is Bad. This book explains why that is, and what you can do about it.
©2020 John Marshall (P)2020 John Marshall
A Prehistory of the Cloud
Summary
We may imagine the digital cloud as placeless, mute, ethereal, and unmediated. Yet the reality of the cloud is embodied in thousands of massive data centers, any one of which can use as much electricity as a midsized town. Even all these data centers are only one small part of the cloud. Behind that cloud-shaped icon on our screens is a whole universe of technologies and cultural norms, all working to keep us from noticing their existence. Hu shows that the cloud grew out of such older networks as railroad tracks, sewer lines, and television circuits. He describes key moments in the prehistory of the cloud, from the game Spacewar as exemplar of time-sharing computers to Cold War bunkers that were later reused as data centers. Countering the popular perception of a new "cloudlike" political power that is dispersed and immaterial, Hu argues that the cloud grafts digital technologies onto older ways of exerting power over a population. But because we invest the cloud with cultural fantasies about security and participation, we fail to recognize its militarized origins and ideology. Moving between the materiality of the technology itself and its cultural rhetoric, Hu's account offers a set of new tools for rethinking the contemporary digital environment.
©2015 Massachusetts Institute of Technology (P)2017 Redwood Audiobooks
Before Disrupting Healthcare
Summary
Health information technology is a complicated space. Before Disrupting Healthcare provides a quick introduction to its foundational concepts and products with a look into emerging trends that may rule the future. In it you'll learn about topics like electronic health records, health information exchanges, accountable care organizations, and meaningful use regulation. Discover what they mean from a product perspective and how things might evolve. This is a must-listen for anyone working on, or investing in, health information technology products. Outsiders can use this audiobook to become insiders, and insiders can become experts.
©2016 Pallav Sharda (P)2016 Pallav Sharda
AIQ
Summary
"There comes a time in the life of a subject when someone steps up and writes the book about it. AIQ explores the fascinating history of the ideas that drive this technology of the future and demystifies the core concepts behind it; the result is a positive and entertaining look at the great potential unlocked by marrying human creativity with powerful machines." (Steven Levitt, co-author of Freakonomics) From two cutting-edge data scientists comes a fascinating audiobook that tells listeners what they need to know in order to understand how intelligent machines are changing the world and how we can use this knowledge to make better decisions in our own lives. Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smart phones to talking robots to self-driving cars, are remaking the world of the 21st century in the same way that the Industrial Revolution remade the world of the 19th century. AIQ, by Nick Polson and James Scott, is based on a simple premise: If you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach listeners that language - but in an unconventional way, anchored in stories rather than mathematics. Listeners will meet a fascinating cast of historical characters who have a lot to teach about data, probability, and better thinking. Along the way, listeners will see how these same ideas are playing out in the modern age of big data and intelligent machines - and how these technologies will soon help them to overcome some of their built-in cognitive weaknesses, giving them a chance to lead happier, healthier, more fulfilled lives. PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
©2018 Nicholas Polson and James Scott (P)2018 Macmillan Audio
Notes to a Software Team Leader
Summary
Is your team agile and self-organizing? What is your role as a leader? Team leadership is the missing link that connects all the buzzwords you hear these days about unit testing, TDD, continuous integration, scrum, XP, and others to the real world where actual people have to learn, implement, and mainly, believe and push for this stuff to happen. This audiobook is meant for software team leaders, architects, and anyone with a leadership role in the software business. Hear advice from real team leaders, consultants, and everyday gurus of management: Johanna Rothman, Uncle Bob Martin, Dan North, Kevlin Henney, Jurgen Appelo, Patrick Kua, and many others, each with their own little story and reason to say just one thing that matters the most to them about leading teams. See what it'll feel like if you do things wrong, and what you can do about things that might go wrong, before they happen.
©2014 Team Agile Publishing (P)2016 Spoken Word Inc
More Awesome Than Money
Summary
Their idea was simple. Four NYU undergrads wanted to build a social network that would allow users to control their personal data instead of surrendering it to big businesses like Facebook. They called it Diaspora. In days they raised $200,000, and reporters, venture capitalists, and the digital community's most legendary figures were soon monitoring their progress. Max dreamed of being a CEO. Ilya was the idealist. Dan coded like a pro. And Rafi tried to keep them all on track. But as the months passed and the money ran out, the Diaspora Four fell victim to errors, bad decisions, and their own hubris. In November 2011, Ilya committed suicide. Diaspora has been tech news since day one, but the story reaches far beyond Silicon Valley to the now urgent issues about the future of the Internet. With the cooperation of the surviving partners, New York Times best-selling author Jim Dwyer tells a riveting story of four ambitious and naive young men who tried to rebottle the genie of personal privacy - and paid the ultimate price.
©2014 Jim Dwyer (P)2014 Tantor
UX
Summary
Are you ready to get a full set of tools to improve your skills in user experience, software development, and management approach? In the idea of having a clear view of a business, no matter if it is a startup or a big company, starting from the process of product creations and development that allow achieving excellent results in short time, you MUST learn UX, DevOps and Lean and Agile Principles, a practical set of activities that are focused on understand user's needs, development's approach, and management’s abilities to provide positive experiences and reaching the best output. Adopting these principles and concepts will improve every business and product: a meaningful experience for the working team and for the final user that allows you to become a master in this field. This bundle of three books provides you a complete guide to understand and manage your business Here some questions that you will find the answers to: What are UX design and principles? What is DevOps methodology? What is the Lean and Agile approach? How are they implementable into a company? What are the benefits that they can generate? Understanding which actions generate great experience for the user and how to implement them in your working process is the real value of the fundamentals of UX. Ensure that your design has the right strategies to be focused on the client's needs. If you are looking for a complete guide in UX, DevOps and Lean and Agile in just a few hours, this book is for you. It has been created for beginners that are studying the different approach of UX development but also for designers and entrepreneurs that recognize these critical changes in the creations and fruition of contents. What’s inside this bundle of three books: Book 1: UX: Learn to Design Great Products for a Better User Experience Introduction to UX Fundamentals of user experience design Strategies to apply for a great user experience Different UX approach (Lean UX versus Agile UX) Bring your ideas to life with prototyping Benefits of UX to your company Book 2: DevOps: Building Software with Lean Process for Modern Business Introduction to DevOps Capabilities of DevOps The way cloud accelerates DevOps Solving challenges with DevOps Agile, continuous deliver, and the three way The principles of flow The principles of feedback The principles of continual learning and experimentation Selecting which value stream to start with Understanding the work in our value system, making it visible, and expanding it across the organization Book 3: Lean and Agile: How to Develop Successful Business and Startup Using Lean Approach and Agile Method Crucial steps for a lean product Why Lean UX? Difference between Lean concept and Agile Collaborative design Lean approach and thinking Agile methodology In simple words, after listening to these books, you should be able to start working on your project with a new and improved vision.
©2020 Steven Branson (P)2020 Steven Branson
Machine Learning Mathematics
Summary
Master the world of machine learning - even if you’re a complete beginner. Are you an aspiring entrepreneur? Or are you an amateur software developer looking for a break in the world of machine learning? Then this is the book for you. 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. Inside, you will: Learn the fundamental concepts of machine learning algorithms, and their impact in resolving modern day business problems Understand the four fundamental types of machine learning algorithm Master the concept of “statistical learning”, a descriptive statistics-based machine learning algorithm Dive into the development and application of six of the most popular supervised and unsupervised machine learning algorithms, with details on linear regression, logistic regression and more Learn everything you need to know about neural networks and data pipelines Master the concept of “general setting of learning”, a fundamental of machine learning development Overview the basics, importance, and applications of data science with details on the “team data science process” lifecycle And much more! Covering 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 book is a must-read for anyone interested in the world of machine learning. Buy now to discover how you can master machine learning today! Scroll up and click the "buy now" button to get your copy!
©2019 Samuel Hack (P)2019 Samuel Hack
Building Intelligent Systems
Summary
Produce a fully functioning intelligent system that leverages machine learning and data from user interactions to improve over time and achieve success. This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale intelligent systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What you'll learn: Understand the concept of an intelligent system: what it is good for, when you need one, and how to set it up for success. Design an intelligent user experience: achieve your objectives and produce data to help make the intelligent system better over time. Implement an intelligent system: execute, manage, and measure intelligent systems in practice. Create intelligence: use many approaches, including machine learning. Orchestrate an intelligent system: bring the parts together throughout its life cycle and achieve the impact you want. This audiobook is for software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems.
©2018 Geoff Hulten (P)2018 Geoff Hulten
Classic Computer Science Problems in Python
Summary
Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview! Computer science problems that seem new or unique are often rooted in classic algorithms, coding techniques, and engineering principles. And classic approaches are still the best way to solve them! Understanding these techniques in Python expands your potential for success in web development, data munging, machine learning, and more. What's inside Search algorithms Common techniques for graphs Neural networks Genetic algorithms Adversarial search Uses type hints throughout Covers Python 3.7 For intermediate Python programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014) and Classic Computer Science Problems in Swift (Manning, 2018). Table of contents Small problems Search problems Constraint-satisfaction problems Graph problems Genetic algorithms K-means clustering Fairly simple neural networks Adversarial search Miscellaneous problems PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 Manning Publications (P)2019 Manning Publications
Deep Learning
Summary
Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning-major trends, possible developments, and significant challenges.
©2019 Massachusetts Institute of Technology (P)2019 Gildan Media
Clean Agile
Summary
Agile Values and Principles for a New Generation “In the journey to all things Agile, Uncle Bob has been there, done that, and has the both the t-shirt and the scars to show for it. This delightful book is part history, part personal stories, and all wisdom. If you want to understand what Agile is and how it came to be, this is the book for you.” (Grady Booch) “Bob’s frustration colors every sentence of Clean Agile, but it’s a justified frustration. What is in the world of Agile development is nothing compared to what could be. This book is Bob’s perspective on what to focus on to get to that ‘what could be.’ And he’s been there, so it’s worth listening.” (Kent Beck) “It’s good to read Uncle Bob’s take on Agile. Whether just beginning, or a seasoned Agilista, you would do well to read this book. I agree with almost all of it. It’s just some of the parts make me realize my own shortcomings, dammit. It made me double-check our code coverage (85.09 percent).” (Jon Kern) Nearly 20 years after the Agile Manifesto was first presented, the legendary Robert C. Martin (“Uncle Bob”) reintroduces Agile values and principles for a new generation - programmers and nonprogrammers alike. Martin, author of Clean Code and other highly influential software development guides, was there at Agile’s founding. Now, in Clean Agile: Back to Basics, he strips away misunderstandings and distractions that over the years have made it harder to use Agile than was originally intended. Martin describes what Agile is in no uncertain terms: a small discipline that helps small teams manage small projects...with huge implications, because every big project is comprised of many small projects. Drawing on his 50 years’ experience with projects of every conceivable type, he shows how Agile can help you bring true professionalism to software development. Get back to the basics - what Agile is, was, and should always be Understand the origins, and proper practice, of SCRUM Master essential business-facing Agile practices, from small releases and acceptance tests to whole-team communication Explore Agile team members’ relationships with each other, and with their product Rediscover indispensable Agile technical practices: TDD, refactoring, simple design, and pair programming Understand the central roles values and craftsmanship play in your Agile team’s success If you want Agile’s true benefits, there are no shortcuts: You need to do Agile right. Clean Agile: Back to Basics will show you how, whether you’re a developer, tester, manager, project manager, or customer.
©2020 Pearson Education, Inc. (P)2021 Upfront Books
Arduino Programming for Beginners
Summary
Quite a few technology boards are responsible for building digital devices. They are actually the bedrock of how these devices function. However, Arduino boards are making immense waves in the digital production world nowadays as it is now primarily used for creating digital devices as well as other interactive materials with the capacity to control things physically, around the human sphere. To make things more clear, this audiobook will enlighten the listeners to know more about what Arduino is all about, and encourage the best practices for learning and executing Arduino programming from scratch. This audiobook will be a pathway where you'll learn everything you need to know about Arduino programming, step-by-step. Some of the few things you will be learning about Arduino in this audiobook include: Arduino’s software and hardware, as well as several others of the applications that you will be able to make use of in and about the Arduino board. Different Arduino data types available. Strings and functions Codes for buildup Arrays and sensors Important necessities to remember so you can avoid making mistakes And a whole lot more. This expansive audiobook on Arduino programming for beginners is laced with quite a lot of useful information that will guide the listeners throughout their Arduino programming journey, holding you by hand and explaining in specific detail, including visual aids to guide you. So what are you waiting for? Go get a copy now!
©2019 Ethan Thorpe (P)2019 Ethan Thorpe
Real-World Machine Learning
Summary
Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems. Machine learning systems help you find valuable insights and patterns in data, which you'd never recognize with traditional methods. In the real world, ML techniques give you a way to identify trends, forecast behavior, and make fact-based recommendations. It's a hot and growing field, and up-to-speed ML developers are in demand. What's inside: Predicting future behavior Performance evaluation and optimization Analyzing sentiment and making recommendations No prior machine learning experience assumed, but you should know Python. Henrik Brink, Joseph Richards, and Mark Fetherolf are experienced data scientists engaged in the daily practice of machine learning. Table of Contents: The Machine-Learning Workflow 1. What is machine learning? 2. Real-world data 3. Modeling and prediction 4. Model evaluation and optimization 5. Basic feature engineering PRACTICAL APPLICATION 6. Example: NYC taxi data 7. Advanced feature engineering 8. Advanced NLP example: movie review sentiment 9. Scaling machine-learning workflows 10. Example: digital display advertising PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2016 Manning Publications (P)2016 Manning Publications
The Ethical Algorithm
Summary
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations, and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2020 Michael Kearns and Aaron Roth (P)2020 Tantor
ISO 9001:2015
Summary
Quality management principles to ensure business success. The success - or failure - of all businesses largely depends on the quality of the products and services they supply. This, in turn, depends on finding the right balance between investment and returns. Develop goods and services that are of too low a standard and no one will buy them; put too much into creating high-quality products and services and you may price yourself out of the market in an attempt to recover your costs. This is where quality management comes in. A quality management system (QMS) establishes process-driven methods of producing and delivering products and services with consistent results. Assuming your QMS processes are effective, your products and services will meet the expected quality levels every time, giving you greater control over production costs and increasing customer satisfaction. Currently used by more than 1.1 million organizations worldwide, the international standard ISO 9001:2015 is the world’s most established quality framework. It specifies the best-practice requirements for a QMS that organizations can use to: Demonstrate their ability to consistently provide products and services that meet customer and applicable regulatory requirements Enhance customer satisfaction Manage costs and improve efficiency An ISO 9001-compliant QMS is adaptable, continually improves to meet organizational and market requirements, and includes processes for the assurance of conformity and applicable regulatory requirements. ISO 9001:2015 - A Pocket Guide is a handy reference audiobook that provides an overview of the ISO 9001 quality management standard. It includes: A brief history of quality management and ISO 9001 Useful definitions of ISO 9001 terminology A discussion of the requirements of the Standard, including an in-depth examination of clauses four to 10 of ISO 9001, which specify the requirements for a QMS Some of the myths about ISO 9001 certification This is the perfect introduction to the Standard and will help ensure the quality of your products and services, increase customer satisfaction, and enhance your business’s efficiency. Buy your copy of ISO 9001:2015 - A Pocket Guide now to learn how an ISO 9001:2015-compliant QMS will help your business thrive.
©2016 IT Governance Publishing (P)2018 IT Governance Publishing
Coding
Summary
Have you ever wanted to create your own computer software, app, or website? In this day and age where technology is integrated into the foundation of our lives, have you ever thought to yourself, “How do I create the next WhatsApp?” or “How do I create the next Facebook?” Discover How to Progress from Complete Coding Novice to Programming Pro Coding or computer programming simply entails the art of writing computer programs. Computer programs are sets of instructions that tell a computer what to do to complete a specific task. To write these sets of instructions, we use a specific computer programming language, examples of which include Java, JavaScript, C++, and Python. Computer programs can have a single line of computer code or millions of lines of code. Today, we have many programming languages meant to help us create desktop applications, mobile applications, websites and more. In this guide, we shall be looking at the basic essentials you need to learn to start programming or writing computer code or programs. Incorporated within this guide are step-by-step tutorials and an abundance of images; learning will be a breeze! As we know, practice makes perfect, and to ensure you get the most out of this guide, there is an entire chapter with a selection of exercises for you to try! A preview of what you will learn.... Programming languages 101 Programming Basics Getting Started Mastering Popular Programming Elements Practice Exercises Take action right away to understanding the fundamentals of coding and putting your newly learnt skills into immediate practice today by downloading this book, Coding: Complete Beginners Guide to Computer Programming. Download today! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 David Cooke (P)2019 David Cooke