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Practical Data Science with Python 3

- Synthesizing Actionable Insights from Data
Af: Ervin Varga Engelsk Paperback

Practical Data Science with Python 3

- Synthesizing Actionable Insights from Data
Af: Ervin Varga Engelsk Paperback
Tjek vores konkurrenters priser
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 Learn
  • Play the role of a data scientist when completing increasingly challenging exercises using Python 3
  • Work work with proven data science techniques/technologies 
  • Review scalable software engineering practices to ramp up data analysis abilities in the realm of Big Data
  • Apply theory of probability, statistical inference, and algebra to understand the data science practices
Who This Book Is For

Anyone who would like to embark into the realm of data science using Python 3.

Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 573
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
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 Learn
  • Play the role of a data scientist when completing increasingly challenging exercises using Python 3
  • Work work with proven data science techniques/technologies 
  • Review scalable software engineering practices to ramp up data analysis abilities in the realm of Big Data
  • Apply theory of probability, statistical inference, and algebra to understand the data science practices
Who This Book Is For

Anyone who would like to embark into the realm of data science using Python 3.

Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 462
ISBN-13: 9781484248584
Indbinding: Paperback
Udgave:
ISBN-10: 1484248589
Kategori: Programmerings- & scriptsprog
Udg. Dato: 8 sep 2019
Længde: 32mm
Bredde: 235mm
Højde: 155mm
Forlag: APress
Oplagsdato: 8 sep 2019
Forfatter(e): Ervin Varga
Forfatter(e) Ervin Varga

Kategori Programmerings- & scriptsprog

ISBN-13 9781484248584

Sprog Engelsk

Indbinding Paperback

Sider 462

Udgave

Længde 32mm

Bredde 235mm

Højde 155mm

Udg. Dato 8 sep 2019

Oplagsdato 8 sep 2019

Forlag APress

Kategori sammenhænge