Programming Computer Science

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.

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.

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.

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.

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.

This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.

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.

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.

With this beginner’s handbook, you’ll learn how to use ChatGPT efficiently and create maximized results. Create natural, human-like conversations, being aware of its limitations and biases, and prepare for the artificial intelligence future.

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.

It’s no secret that many jobs will be eliminated in the near future. While that reality may be difficult to digest, it’s also believed that the most responsible party - namely, automation - will lead the way in a golden age of opportunity. That’s because there will be a tremendous need for people who are capable of programming all those new systems. And, the language of choice for machine learning software is Python which, as it happens, is the perfect first language to learn.

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.

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.

Learning to write in a coding language can be exciting. This book will allow you to get started writing your own programs, whether you are learning for your own personal benefit, or to begin and advance a career in programming. One of the best languages to begin with is Python. Python is one of the easiest coding languages to learn and understand. It has the power to create complex programs, and the versatility to work when integrated with other coding languages.

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.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

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.

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 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.

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.