Name: Practical Data Science With Python 3: Synthesizing Actionable Insights From Data (en Inglés)
SKU: 52065462
Price: 51.05 USD
Availability: InStock
Author: Ervin Varga

portada Practical Data Science With Python 3: Synthesizing Actionable Insights From Data (en Inglés)

Practical Data Science With Python 3: Synthesizing Actionable Insights From Data (en Inglés)

Formato

Libro Físico

Editorial

Apress

Autor

Ervin Varga

Año

2019

Idioma

Inglés

N° páginas

462

Encuadernación

Tapa Blanda

ISBN13

9781484248584

N° edición

Categorías

Bases de datos

Practical Data Science With Python 3: Synthesizing Actionable Insights From Data (en Inglés)

Ervin Varga (Autor) · Apress · Tapa Blanda

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Reseña del libro "Practical Data Science With Python 3: Synthesizing Actionable Insights From Data (en Inglés)"

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks, like, SciPy, scikitlearn, Numba, Apache Spark, etc. The book is structured around examples, so you will grasp core concepts via case studies and Python 3 code.As data science projects gets continuously larger and more complex, software engineering knowledge and experience is crucial to produce evolvable solutions. You'll see how to create maintainable software for data science and how to document data engineering practices.This book is a good starting point for people who want to gain practical skills to perform data science. All the code will be available in the form of IPython notebooks and Python 3 programs, which allow you to reproduce all analyses from the book and customize them for your own purpose. You'll also benefit from advanced topics like Machine Learning, Recommender Systems, and Security in Data Science.Practical Data Science with Python will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors.What You'll LearnPlay the role of a data scientist when completing increasingly challenging exercises using Python 3Work work with proven data science techniques/technologies Review scalable software engineering practices to ramp up data analysis abilities in the realm of Big DataApply theory of probability, statistical inference, and algebra to understand the data science practicesWho This Book Is ForAnyone who would like to embark into the realm of data science using Python 3.