検索キーワード： プログラミング言語

自分の国がいつできたのか答えられますか？学校が教えてくれない「世界最古の国」の奇跡を、明治天皇の玄孫にして、ベストセラー『日本はなぜ世界でいちばん人気があるのか』（PHP新書）の著者が、強い信念をもって語った意欲作。

「あと数年で会社はなくなる」「中国は2025年まで発展、日本は2020年以降、崖から転がるように落ち込む」「iPhoneは2016年に製造終了」……本書で語られる、衝撃的な予言の数々だ。

暴言を吐く、支配したがる、けなして自信を失わせる、優しいようで水面下で工作している、一見目立たない人を含めて、あなたの周りにはとんでもない人が隠れているかもしれない。

Lerne SQL beim Autofahren, in der Bahn, beim Sport oder bei der Hausarbeit. Datenbanken verstehen war noch nie so flexibel. SQL ist die Sprache der Datenbanken – und der Schlüssel zu Datenanalyse, Reporting und modernen IT-Berufen. Dieses Hörbuch macht den Einstieg so einfach wie nie: Du startest bei den Grundlagen und lernst SQL von Grund auf – von CREATE TABLE über SELECT, INSERT und UPDATE bis hin zu JOINs, Transaktionen, Triggern und Stored Procedures. Das Besondere: Dieses Lernbuch wurde speziell fürs Zuhören entwickelt.

A beautifully written insight into the stresses, strains and successes of working for the London Ambulance service. Is there anyone who hasn't wondered about the state of the occupant of an ambulance, screaming along with its sirens on and blue lights flashing? Have you? And have you wondered about the other people inside the ambulance, maybe fighting to save the patient's life?

Public health runs on data—but data only becomes useful when you know how to analyze it, visualize it, and turn it into clear research insights. R Programming for Public Health Data Analysis is a practical beginner-friendly guide for students, analysts, researchers, and public health professionals who want to use RStudio to work with real-world health data more confidently. Inside this audiobook, you’ll learn how R can help you organize datasets, run basic statistics, examine epidemiology data, track disease trends, create useful visualizations, and prepare cleaner research reports.

You're spending hours wrestling with Claude—rewriting prompts, copying outputs, watching tutorials that were outdated before you finished them—and you still can't figure out how to make AI do anything that actually matters for your bottom line.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and...

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.

This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js.

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.

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.

Data Analytics for Absolute Beginners is your no-stress, no-nonsense guide to understanding and applying data analysis, even if you've never worked with data before. This hands-on, beginner-friendly guide is packed with practical examples, visual explanations, and two bonus Python exercises (with video tutorials) to walk you through real-world analysis scenarios.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

Python is one of the easiest coding languages to master because it bases itself on the English language. Intuitive and simple, anyone can get started with programming in Python, almost overnight! It can even jumpstart your hobby or career in tech, taking you places you never thought you could go. And this is where this book comes into play… it’s your launchpad into the phenomenal world of Python programming.

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.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

Get advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs to code-specific systems. You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code.

From first principles to production-ready code, "Latency" teaches you how to make your software faster at every layer of the stack. You’ll learn what latency really is, how it differs from bandwidth, and why it matters for user experience. Then, guided by practical examples, you’ll apply Little’s Law, design lock-free algorithms, and architect caching systems that scale. You’ll discover how your code runs differently on distributed systems, databases, and operating systems, and understand the common latency-causing issues in each situation.

This philosophy-of-programming guide presents a unique and entertaining take on how to think about programming. A collection of twenty-one pragmatic rules, each presented in a stand-alone chapter, captures the essential wisdom that every freshly minted programmer needs to know and provides thought-provoking insights for more seasoned programmers. Author Chris Zimmerman, cofounder of the video game studio Sucker Punch Productions, teaches basic truths of programming by wrapping them in memorable aphorisms and driving them home with examples drawn from real code.