Showing results for "Science" in Programming

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...

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.

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.

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.

Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp, you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. 

The year 2020 is one the world will never forget. Amongst many other revelations, the pandemic opened up to us the importance of numbers. Leading nations have used COVID-19 data to understand the behaviour and spread of the virus, helping them make better policies to control the spread and outbreak, which has proven fruitful. Without data experts, the world will not have answers to preventing the widespread of the COVID-19 pandemic. Our planet is in need of more data analysts and scientists to study human and world patterns, help prevent pandemics, crisis, wars and become profitable. 

Master the fundamentals of technology and algorithms without deciphering complex math or intimidating coding jargon. Transform your daily commute into an engaging masterclass on the digital world. Whether you are upskilling for a career shift or satisfying an intense curiosity about software...

Demystify game development and master the technology powering your favorite digital worlds without writing a line of code. Perfect for your daily commute or casual listening, this accessible guide translates complex computer science into vivid, easy-to-grasp concepts. Satisfy your curious mind...

Python programming has become a must-learn skill in the data science domain. It has evolved as the most preferred programming language for data-driven development because it is suitable for many data science tasks and is easy to learn compared to other programming languages. In short, Python is the closest programming language to fit the goal of a beginner and a great starting place.

You are about to discover how you can learn Python to ride in the next wave of big/advanced computing that is in artificial intelligence, deep learning, data science, big data, data analytics, deep learning, and more! There has been a lot of talk about artificial intelligence, data analytics, data mining, big data, data science, and many other fancy names lately. Lucky for you, this audiobook is meant to answer all these topics and many others.

There are a lot of benefits to making sure that your network is always safe and secure. And working with the Python language is one of the best ways for you to make sure that we are able to work with some of our own attacks and penetration testing to keep that network safe. Even if you have never worked on hacking in the past, this audiobook is going to give you some of the steps and tips that we need to see the best results with hacking, overall.

Python Data Science: The Ultimate Crash Course for Data Analysis is a step-by-step guide for those who want to start programming by using Python for their projects and to make their researching activities much easier. The guide will introduce you to the basics of this programming language, and you will have the chance to learn how to use and code in Python with matched libraries, easily and effectively.