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。

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。

「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。

MoonBit WebAssembly Programming Made Easy is a practical introduction for developers who already know another programming language and want to work with MoonBit and WebAssembly. It connects language fundamentals to the tools, compilation targets, and host environments involved in building and...

Turn your Excel skills into real data-analysis power with R.You already understand rows, columns, formulas, tables, charts, and reports. Now it’s time to take that spreadsheet mindset and upgrade it into one of the most powerful tools in modern data analysis: R programming.R Programming for...

Data is everywhere. The real advantage comes from knowing how to turn it into useful information. Python for Data Science: Coding with Intelligence introduces the practical foundations of using Python to work with data, explore patterns, automate analysis, and build the computational thinking...

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.

Go beyond basic SQL and start thinking like a developer. This practical intermediate guide teaches joins, subqueries, window functions, CTEs, indexes, query optimization, and real-world database projects step by step. Perfect for developers, analysts, students, career changers, and anyone ready to write cleaner, faster, more powerful SQL.

This beginner-friendly guide teaches databases, queries, joins, tables, filtering, grouping, data analysis, and real-world SQL skills step by step. Perfect for students, office workers, career changers, small business owners, freelancers, and anyone who wants to understand data and build a practical tech skill.

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.

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...

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.

PHP runs more of the web than any other language — and you can be writing it today. If you can spend a focused afternoon, you can go from "what even is PHP?" to building a real, database-backed website. No computer-science degree, no framework rabbit holes, no 900-page reference. Just modern PHP 8, explained plainly, one small win at a time. What's PHP? Learn It in 8 Hours is the sixth book in John Rouda's best-loved "What's…?" series, the same friendly, get-to-the-point style that has taught thousands of beginners HTML, CSS, JavaScript, and SQL.

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.

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.

Data analysis is a must-have skill that becomes more essential as the world becomes more data-driven. And one of the most effective ways to dive into data analysis is by learning a programming language. Python is a great place to start. This book explains everything you need to know to start using Python for data analysis.

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.

Machine learning typically relies on data. It involves the design and development of computer systems that can extract patterns, trends, and relationships between various variables in a data set. Such knowledge can then be used to predict what will happen in the future. There are so many things that you are able to do when it comes to machine learning, and this is a field that is going to grow and grow over time. Make sure to check out this guidebook to help you get started learning how to work with Python machine learning!

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.

Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.