Programming Computer Science

Unlock the power of technology with this comprehensive 2-in-1 book bundle designed to take your skills from beginner to pro. Whether you're an aspiring coder, tech enthusiast, or someone looking to break into the lucrative world of IT, this guide has everything you need.

Dive into “R Programming: Mastering Data Science and Statistical Computing”, the ultimate guide to one of the most powerful tools in the world of data science. Whether you're a complete beginner or an experienced professional looking to refine your expertise, this book is your gateway to mastering R programming.

Either if you want to start up your own enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies, Computer Programming: Python will prepare the ground for your future success.

A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview.

"SQL: Learn SQL Programming and Database Management" is your comprehensive guide to mastering the essential skills needed to manage, query, and secure databases in today’s data-driven world. Whether you're a beginner starting your journey into the world of databases or an experienced developer looking to deepen your understanding, this book offers a clear, step-by-step approach to learning SQL and database management.

This book is great for those just starting out in programming. And for those needing more advanced coding knowledge. The author explains everything step by step in a simple and easy to understand way. This book covers JavaScript, HTML, SQL, CSS, and Python programming languages. The narrator in the audiobook version seems to be pretty good. He doesn't drone on.

This bundle combines two instructional Java books into one: Java Programming: An Introduction, History, and the Fundamentals for Creating Your First Program and Java Programming: Intermediate Concepts for the Fundamentals of Object Oriented Programming. These are the first two books in a series dedicated to learning about Java and Java programming. Java is a simple yet powerful programming language, taught in colleges and used by companies all over the world.

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

Get coding with a hands-on introduction to Scratch. Step-by-step instructions will help young coders pick up Scratch. You'll be writing and directing your own programs in no time!

Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it? Here's the deal.... As a beginner you might think that programming is complex.... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high.

Would you like to learn to use Python extracting meaningful insight from data to grow your business but you reckon it will be too complex? As a beginner, you will be probably afraid that programming is difficult. Learning data analysis and data mining can take months, and the possibility to give up before mastering them could be high. The best solution is a complete programming manual with hands-on projects and practical exercises. This guide is structured as a course with seven chapters for seven days and studied special exercises to apply what you learned step-by-step.

Have you ever been so wrapped up in a puzzle or game that you couldn’t put it down until you solved it? Programming is like that. It meets your mind’s need for stimulation and exercise. And it’s incredibly rewarding. Yet, coding is not just a free-time activity for tech geeks. As the world becomes more technologically advanced, computer programming awareness and skills are not just for those pursuing software development careers. It’s increasingly showing up in other jobs, business opportunities, and life.

Have you always wanted to learn computer programming but you are worried it will take too long? Or perhaps you know other programming languages and are interested in learning Python quickly? The best solution is to follow a complete programming manual with hands-on projects and practical exercises. Computer Programming Academy structured this guide as a course with seven chapters for seven days and studied special exercises to apply what you have learned step-by-step.

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

By the end of this audiobook, you'll have gained a deep understanding of GPT-4's true potential and a wealth of practical knowledge on how to harness its power in your life. Get ready to embark on a thrilling journey that will leave you eager to embrace the limitless possibilities offered by GPT-4. So, are you ready to transform your life? Dive into this fascinating audiobook and find out!

Creative Selection recounts the life of one of the few who worked behind the scenes, a highly respected software engineer who worked in the final years of the Steve Jobs era - the Golden Age of Apple. Ken Kocienda offers an inside look at Apple’s creative process. For 15 years, he was on the ground floor of the company as a specialist, directly responsible for experimenting with novel user interface concepts and writing powerful, easy-to-use software for products including the iPhone, the iPad, and the Safari web browser.

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?”

Learn Windows PowerShell in a Month of Lunches, third edition, is an innovative tutorial designed for busy IT professionals. Just set aside one hour a day - lunchtime would be perfect - for a month, and you'll be automating Windows tasks faster than you ever thought possible. This updated edition covers PowerShell features that run on Windows 7, Windows Server 2008 R2 and later, and PowerShell v3 and later, and includes v5 features like PowerShellGet.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.