- Softcover
- Used

Condition: Used - Very good
£ 27.23
Quantity: 1 available
Add to basketItem description from seller
: Esta guía completa recopila cuatro libros esenciales para dominar Python: la guía definitiva para principiantes, un curso intensivo de 7 días, una guía avanzada y una sección dedicada a la ciencia de datos. El contenido está diseñado para llevar al lector desde los conceptos básicos de programación hasta temas complejos como el aprendizaje automático (machine learning) y el análisis de datos mediante ejercicios prácticos paso a paso.Ideal tanto para quienes no tienen experiencia previa en codificación como para programadores que buscan expandir sus habilidades, el libro ofrece estrategias para escribir código limpio y flexible, técnicas de depuración y aplicaciones prácticas de ciencia de datos. Es una herramienta invaluable para resolver problemas reales utilizando las técnicas empleadas por científicos de datos profesionales. EAN: 9781914176425 Tipo: Libros Categoría: Tecnología|Educación Título: Python: 4 Books in 1 Autor: John Russel Editorial: John Russel Idioma: en Páginas: 392 Formato: tapa blanda.…
Seller Inventory # Happ-2026-02-05-51aa6982
- Title
- Python: 4 Books in 1
- Author
- John Russel
- Publisher
- John Russel
- Publication year
- 2020
- Condition
- Very Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1914176421
- ISBN 13
- 9781914176425
Unsure where to get started with coding? Worried that learning a coding language will take too long? Or do you want to impress your friends with the programs you can make from scratch?
4 books are bundled: "Python Beginner's Guide" + "Python 7-Day Crash Course" + "Python Advanced Guide" + "Python for Data Science" to give you maximum benefits.
The truth is...Learning a new coding language is not always as easy as it may seem, and it can take months to master it, some beginners are worried that programming is going to be difficult and they give up before trying. You may have a great idea for your website or make your app, but choosing to hire another programmer to do the work, is costly, and if anything ever goes wrong with the program, you still have to pay them.
The solution is a complete guide with practical projects and examples that will allow you to finally master the easiest programming language. Python: 4 Books in 1 is going to take the time to teach you, whether you are a total beginner or have worked with some coding in the past, how to handle the Python language and how to make it work for your needs. In no time, you will be able to go form a complete beginner in the world of programming and Python and turn yourself into an expert instead.
Inside this book, we are going to spend some time taking a look at the basics that we need on the Python language, before moving into more advanced topics like machine learning and data science.
You will learn:
- Why Python is Considered One of the Best Languages to Learn as a Beginner
- Easy Step-by-Step Instructions to Install the Python Language
- A Proven Method to Write your First Program in 7 Days or Less
- 5 Common Mistakes to Avoid when You Start Coding
- A Simple Strategies to Write Clean, Understandable and Flexible Code
- The One Thing You Need to Debug your Codes in Python
- Practical Exercises to Quickly Get Practice
- 5 Practical Applications of Data Science
- The Benefits of Using Python for Data Analysis
Most of the books on the market only take a brief look into Python, showing some of the topics but never going deep and showing you how to work on the code. With the help of Python: 4 Books in 1, you will be able to learn more about how coding in this language works, and how even someone with no coding experience can make it work.
Whether you're completely new to programming or you are looking for a new language to expand your skills, you will find this book an invaluable tool for mastering programming in Python and solving problems with practical techniques used by data scientists.
Would You Like to Know More?
Get your Copy Now to Master Python Programming!
"Synopsis" may belong to another edition of this title.
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