検索キーワード： プログラミング言語

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You're spending hours wrestling with Claude—rewriting prompts, copying outputs, watching tutorials that were outdated before you finished them—and you still can't figure out how to make AI do anything that actually matters for your bottom line. Meanwhile, someone with half your skills just automated their entire workflow, launched a side income stream, and did it all with the same tool sitting open in your browser right now. The difference wasn't talent. It was knowing how to talk to Claude like a professional instead of guessing like a tourist.

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.

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.

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.

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。

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

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Data-driven decisions rely on statistics. Statistics Every Programmer Needs introduces the statistical and quantitative methods that will help you go beyond "gut feeling" for tasks like predicting stock prices or assessing quality control, with examples using the rich tools of the Python ecosystem.

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.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.