Programming Computer Science

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.

Written and read by the man whose resumé boasts "Inventor of the World Wide Web," Weaving the Web is the not-to-be-missed story of how the Internet came to be and where its creator thinks it's going.

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.

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.

Coding is the modern world's DNA. To create any website, phone app, computer software, and even to make several household appliances functional requires coding. Coding is a part of all of our lives and will only become more relevant as time goes on. This is why coders play such an important role in defining the digital era and the future. The world needs coding.

Do you know why CSS programming will save you time over any other programming language?

While most books and press focus on the more sensational moments of creation and conclusion, The Messy Middle argues that the real key to success is how you navigate the ups and downs after initial investment is secured. It will give you all the insights you need to build and optimise your team, improve your product and develop your own capacity to lead. Building on seven years of meticulous research with entrepreneurs, small agencies, start-ups and billion-dollar companies, Scott Belsky offers indispensable lessons on how to endure and thrive in the long term.

In an era where cyber threats are more sophisticated than ever, web security is no longer optional—it’s essential. Mastering Web Security is a comprehensive guide designed to equip security professionals, developers, and ethical hackers with the knowledge and tools needed to protect web applications from modern cyber threats. From understanding attack techniques to implementing robust defense strategies, this book delves into real-world vulnerabilities, hands-on security practices, and industry best practices. Whether you are securing applications, performing penetration testing, or ...

While you may have never thought of networking in detail, this book will introduce you to the basics of networking, the different types of networks available, the types of network topologies that you will encounter, the concept of server virtualization, and details of how to handle network breaches.

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.

Break the Code, Be Part of the Inner Circle Imagine a world where you have the power to create anything you can dream of, where your ideas come to life with just a few lines of code. Welcome to the exciting and boundless world of programming! If you are looking to start your journey into coding, "Code Breakers: Understanding The Language of Computers" is the perfect guidebook to help you navigate this exhilarating landscape. The goal of this book is to introduce you to the fundamentals of coding in a fun, engaging, and accessible way. But why learn to code, you might ask? In today's digital...

Spring in Action, Fourth Edition is a hands-on guide to the Spring Framework, updated for version 4. It covers the features, tools, and practices including Spring MVC, REST, Security, Web Flow, and more. You'll move between short snippets and an ongoing example as you learn to build simple and efficient J2EE applications. Author Craig Walls has a special knack for crisp and entertaining examples that zoom in on the features and techniques you really need.

In The Ultimate Python Programming Guide for Beginners, you will learn all the essential tools to become proficient in the Python programming language. Learn how to install Python in all major operating systems - Windows, Mac OS, and even Linux. You will be guided step-by-step, from downloading the necessary files to making adjustments in the installation for your particular operating system. Learn the command line shell and how to use it to run Python in interactive and script modes.

Transform yourself into every employer’s dream with this guide on SQL programming! Statistics show that the majority of jobs that deal with data science and databases require the knowledge of Structured Query Language or SQL. While its main goal is to introduce beginners to the SQL world, this audiobook will come in handy for advanced users as well. It’s incredibly detailed, easy to understand, and you’ll be able to use what you’ve learned in real, everyday life.

In 1962, Stephanie 'Steve' Shirley created a software company when the concept of software barely existed. Freelance Programmers employed women to work on complex projects such as Concorde's black box recorder from the comfort of their own homes. Shirley empowered a generation of women in technology, giving them unheard of freedom to choose their own hours and manage their own workloads. The business thrived, and Shirley gradually transferred ownership to her staff, creating 70 millionaires in the process.

In the digital age, where data is king, the role of data engineering has become paramount in deciphering the vast ocean of data into structured insights. "Ace the Data Engineering Job Interview" is an indispensable resource for anyone looking to stand out in the rigorous interview processes of top tech companies like Google, Amazon, Facebook, Apple, Netflix, and more.

Are you looking to teach children how to code? Or, are you looking to start coding? This book on beginner HTML and JavaScript is the answer. For the last couple of years, the news keeps talking about the digital economy and how everyone needs programmers. It seems like everyone wants to learn how to code. However, it is not that easy. Coding is a skill; and like any skill, it takes time to learn. Like any skill, the younger you start, the better you get.

Two of the biggest design problems in Artificial Intelligence are how to build robots that behave in line with human values and how to stop them ever going rogue. One under-explored solution to these alignment and control problems might be to examine how these are already addressed in the design of humans. Robot Souls looks at developments in AI and reviews the emergence of ideas of consciousness and the soul. It places our 'junk code' in this context and argues that it is time to foreground that code, and to use it to look again at how we are programming AI.

Simply put, an algorithm is a set of instructions-it's the code that makes computers run. A basic idea that proved elusive for hundreds of years and bent the minds of the greatest thinkers in the world, the algorithm is what made the modern world possible. Without the algorithm, there would have been no computer, no Internet, no virtual reality, no e-mail, or any other technological advance that we rely on every day.

This book provides a short summary and overview of data structures, algorithms, and machine learning. It is meant to introduce these topics to those new to programming for data analysis and engineering as well as provide a means for those familiar in these topics to explore them in Ruby.