検索キーワード： プログラミング言語

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.

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.

Mastering Python Programming Starts Here! Want to learn Python but don’t know where to begin? Python Programming Made Simple is a clear, beginner-friendly guide that helps you start coding without confusion or overwhelm. Designed for complete beginners, this book takes you step by step through the fundamentals. You’ll start writing code early and build real understanding as you go—without heavy jargon or rushed explanations.

You don’t need a computer science degree to build a real website. You don’t need years of experience. You don’t need to feel overwhelmed anymore. What you need… is a simple, step-by-step path that actually works. Build Your First Website is designed for complete beginners who want to learn HTML, CSS, and JavaScript the right way—by doing, not just listening.

Alle reden von KI. Überall heißt es: Wer jetzt nicht aufspringt, wird abgehängt. Aber wenn du tatsächlich anfängst, dich einzuarbeiten, stehst du vor einem Chaos aus Fachbegriffen, Hype und Tools, das dich ratloser zurücklässt als vorher. Du hast ChatGPT ausprobiert — mittelmäßige Ergebnisse. Tutorials geschaut, die nach zehn Minuten so technisch wurden, dass du abgeschaltet hast. Und im Hinterkopf tickt die Uhr: Kollegen automatisieren bereits Prozesse, während du noch herausfinden willst, wo du überhaupt anfangen sollst.

Everything you need to create neural networks with PyTorch, including Large Language and diffusion models. PyTorch core developer Howard Huang updates the bestselling original “Deep Learning with PyTorch” with new insights into the transformers architecture and generative AI models.

Want to learn Python without feeling lost, overwhelmed, or stuck staring at confusing code? Python is one of the best programming languages for beginners because it is simple, powerful, and used everywhere—from websites and automation to data, AI, apps, and real tech careers. Python Programming for Beginners gives you a clear, step-by-step path to learning coding from the ground up, even if you have never written a single line of code before.

Discover the full power of modern C programming, with an inside look at the new C23 standard. For programs that need to be small, fast, and reliable, C is the gold standard. Whether you’re writing embedded code, low-level system routines, or high-performance applications, C is up to the challenge. This unique book by Jens Gustedt, a member of the ISO C standards committee, gets you up to speed with C23.

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.

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.

Ever tried learning Python, only to get lost in tutorials that feel too technical, too fast, or just plain confusing? You're not alone. This friendly, step-by-step beginner's guide makes Python simple, practical, and surprisingly fun even if you've never written a single line of code. With 35+ hands-on exercises and 6 real world projects, you'll go from complete beginner to confident Python programmer. No tech background required. Just 10 minutes a day.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

「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。

You probably don’t need a collection of specialty databases. Just use Postgres instead! Written for application developers and database pros, “Just Use Postgres!” shows you how to get the most out of the powerful Postgres database.

Most people don’t need “better AI.” They need control. Right now, AI feels random. Sometimes it works. Sometimes it gives you something amazing. Most of the time… it misses the mark and you don’t know why. That’s not an AI problem. That’s a communication problem. Nano Banana Pro was written to fix that. This is not a theory book. It’s not a hype book. And it’s definitely not a “here’s what AI might do someday” book.

Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence.

Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI. Investing for Programmers shows you how you can turn your existing skills as a programmer into a knack for making sharper investment choices.

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。

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