Explore the latest books of this year!
Bookbot

David Mertz

    Lepszy kod w Pythonie. Przewodnik dla aspirujących ekspertów
    Better Python Code
    The Puzzling Quirks of Regular Expressions
    Cleaning Data for Effective Data Science
    • 2023

      Better Python Code

      A Guide for Aspiring Experts

      • 288 pages
      • 11 hours of reading

      Focusing on enhancing Python programming skills, this book guides readers to transform their code from functional to expressive, robust, and efficient. It emphasizes best practices, design principles, and advanced techniques that promote clean and maintainable code. By exploring real-world examples and common pitfalls, the author equips programmers with the tools needed to write high-quality software, making it suitable for both beginners looking to improve and experienced developers aiming to refine their craft.

      Better Python Code
    • 2021

      Engaging readers with a series of thought-provoking questions, this puzzle book delves into the fascinating world of regular expressions, revealing their unexpected behaviors. Designed for software developers and programming enthusiasts, it encourages hands-on exploration through coding challenges. Each question prompts deep thinking, with solutions and discussions provided after readers attempt to solve them, making it both a stimulating and educational experience.

      The Puzzling Quirks of Regular Expressions
    • 2021

      Cleaning Data for Effective Data Science

      Doing the other 80% of the work with Python, R, and command-line tools

      • 498 pages
      • 18 hours of reading

      This guide equips data scientists with essential tools and techniques for effective data cleaning, emphasizing the importance of data quality in analysis. It covers various methods and best practices, providing practical insights to streamline the data preparation process. Readers will learn to tackle common data issues and enhance their analytical skills, making it an invaluable resource for anyone looking to improve their data management capabilities.

      Cleaning Data for Effective Data Science