Python (50) Fifty: 50 Programming Exercises for Python: Beginner Level. Book 1 ("Learn Python: Beginner-Friendly Exercises")

Marcello Mosse

ISBN 13: 9798315873976

Edité par Independently published, 2025

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N° de réf. du vendeur LU-9798315873976

Détails bibliographiques

• Titre: Python (50) Fifty: 50 Programming Exercises for Python: Beginner Level. Book 1 ("Learn Python: Beginner-Friendly Exercises")
• Éditeur: Independently published
• Date de parution: 2025
• Langue: anglais
• ISBN à 13 chiffres: 9798315873976
• Reliure: Paperback
• État de l'article: New

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Synopsis

Practice is the cornerstone of mastering any programming language. While many books provide explanations of syntax, semantics, and theoretical foundations, finding a well-structured collection of beginner-friendly exercises can often be challenging.

This book is not just another theoretical manual—it’s a hands-on guide for Python beginners. Inside, you’ll discover 50 exercises with clear, step-by-step solutions, designed to help you assess your progress and solidify your understanding of Python fundamentals. Each exercise introduces practical coding concepts and essential scripts, making this book a valuable reference as you continue to solve problems with Python.

What you’ll find in the book:

- 50 beginner-friendly exercises with detailed, commented solutions,
- Exercises covering: syntax, formatting, strings, lists, dictionaries, basic methods and functions, core data types, operators, loops, and more,
- Interactive menu: Easily navigate between each exercise and its corresponding solution, making practice and review simple and immediate with just one click.

This book was created believing that consistent practice is essential for building programming confidence. By focusing on foundational concepts, these exercises will not only improve your understanding but also enhance your ability to write more complex and efficient scripts over time. With dedication, this book can help you move beyond the beginner stage and take your first steps toward writing professional-grade Python code.