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SKU/Artículo: AMZ-9995905981
Let's Code Python: A Beginner's Guide with a hint of Data Science
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.53 kg
0.53 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Children today are growing up in a world full of lots and lots of data. From the number of subscriptions they have on YouTube, to the number of Google Reviews they have read or written on a restaurant to the movies and shows they watch on Netflix based on recommendations off their predicted likes - all of these have a deep connection with data. Data is termed as the new oil thanks to its intrinsic value.This is why the most powerful companies on the planet like Google, Facebook, Netflix, Amazon owe their immense clout to the huge amount of data that they have accumulated about people and their behaviour. You have heard of the term Big Data which is all about gathering, storing, managing these multi-terabytes or more of data. Using this data to draw inferences about the past and more importantly making predictions about the future is Data Science. Data Science uses many next generation tools to handle Big Data and Python is one such tool that is very widely used today. Python is also one of the most popular programming languages and one of the best to start a text-based coding journey. It is simple, easy to use, yet powerful and versatile. It is equally favored by students and professionals. It is a great language to learn as a beginner or when moving up from a block-based language like Scratch.This book will help children who do not have a background in text-based computer programming to learn Python basics. A special emphasis has been given in the book on using Python for Data Science. Each chapter has exercises and builds upon the previous knowledge gained. Children will also walk through two detailed exercises that will demonstrate how these tools can be used in retail sales and multinational eCommerce scenarios.
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U$S 44,85
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