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Anotace knihy

Python is more than a programming language. It is a practical tool for breaking down problems, working with data, improving logic, and building efficient solutions. Python for Problem Solvers: Data, Logic, and Efficiency is designed for learners who want to move beyond simple syntax and start thinking like real programmers.

Whether you are solving coding exercises, analyzing information, automating tasks, or improving your software design skills, this book gives you a clear path to stronger Python thinking.

Inside, you will learn how to approach problems step by step, write cleaner logic, use data structures effectively, and improve the speed and reliability of your code. Each concept is explained in a practical, beginner-friendly way so you can understand not only what to write, but why it works.

This book helps you build confidence in areas such as:

• Breaking complex problems into simple steps
• Writing logical and efficient Python code
• Using lists, dictionaries, sets, tuples, and other data structures
• Improving loops, conditions, functions, and program flow
• Handling data more clearly and effectively
• Avoiding common beginner mistakes
• Thinking through solutions before writing code
• Strengthening your coding confidence through practical examples

If you already know basic Python but struggle to solve problems independently, this book will help you bridge the gap between learning syntax and building real coding ability.

Python for Problem Solvers is ideal for students, self-taught programmers, career changers, and anyone who wants to sharpen their Python skills for practical programming, technical interviews, automation, data work, or software development.

Parametry knihy

• Plný název: Python for Problem Solvers
• Podnázev: Data, Logic, and Efficiency
• Autor: Raymond Colebrook
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 206
• EAN: 9798195548353
• ID: 52523745
• Nakladatelství: Independently published
• Hmotnost: 284 g
• Rozměry: 229 × 152 × 11 mm
• Datum vydání: 23. May 2026

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