Showing results for "Science" in Programming & Software Development

Random House presents the audiobook edition of Hello World, written and read by Hannah Fry. You are accused of a crime. Who would you rather determined your fate – a human or an algorithm? An algorithm is more consistent and less prone to error of judgement. Yet a human can look you in the eye...

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. 

The Secret Science of Games is an accessible and entertaining guide to the hidden role of science in making games more fun. User experience (UX) research is a vital part of the story of how video games have become a cultural juggernaut, but game developers generally don’t speak publicly about how data shapes game design and game development.

Master computer science and foundational coding without the intimidating math or exhausting technical jargon. Whether you are upskilling during your morning commute or considering a career pivot into tech, this empowering guide translates complex algorithms into everyday language. You will...

Gaming has always been part of growing up, but in 2026, something extraordinary is happening: games now think. They adapt. They respond. They learn. And kids between the ages of 10 and 16 are the first generation to experience fully intelligent digital worlds. This isn’t just the future — it’s their present. As a parent, educator, or young gamer, it can be overwhelming to see how quickly AI is transforming entertainment. New games appear every month, each one claiming to be smarter, safer, or more innovative than the last.

The first time I used a computer, it intrigued me to know how these interfaces work. In this audiobook, you’ll learn the same way I did.

The world of computers is growing at an unrecordable rate every day. Computers are the most influential tools in our lives. They are our present and future. Most users see a computer at the front and use the graphical user interfaces. The first time I used a computer, it intrigued me to know how these interfaces work. In this book, you will learn the same way I did.

What if you could use Nobel prize-winning science to predict the choices your customers will make? Customer and user behaviors can seem irrational. Shaped by mental shortcuts and psychological biases, their actions often appear random on the surface. In Choice Hacking, we'll learn to predict these irrational behaviors and apply the science of decision-making to create unforgettable customer experiences.

When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of an LLM may hurt more than it helps. This book teaches you to build generative AI models optimized for specific fields.

Starting a career as a software engineer without a computer science degree is a long and difficult journey, Hasan Armstrong discovered this whilst attempting to switch from a career in healthcare to software engineering. He now works as a software engineer and incorporates all the lessons he has learnt in this book. This book will provide a road map to getting a job as a software engineer without a computer science degree, as well as providing solutions to the obstacles you may face along the way.

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.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.

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!

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.

Python is a popular and versatile programming language, used by famous and important sites, including YouTube and Facebook. With this language you can finally program apps, games, software, and much more. That's the reason why programmers who are able to master this language are requested in the world of work.

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit.

Data is everywhere. The real advantage comes from knowing how to turn it into useful information. Python for Data Science: Coding with Intelligence introduces the practical foundations of using Python to work with data, explore patterns, automate analysis, and build the computational thinking...

Python is a powerful programming language, serving a large number of purposes. It is a free and open-source programming language, and it is a very good programming language for beginners, especially for those who are interested to learn computer programming for the very first time. With the help of Python, data manipulation, data visualization, as well as data analysis becomes very simple.

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.