{"product_id":"practical-data-science-with-python-3-synthesizing-actionable-insights-from-data-paperback","title":"Practical Data Science with Python 3: Synthesizing Actionable Insights from Data - Paperback","description":"\u003cp\u003eby \u003cb\u003eErvin Varga\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eGain 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.\u003cbr\u003eAs 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.\u003cbr\u003eThis 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.\u003cbr\u003e\u003ci\u003ePractical Data Science with Python\u003c\/i\u003e will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors.\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePlay the role of a data scientist when completing increasingly challenging exercises using Python 3\u003c\/li\u003e\n\u003cli\u003eWork work with proven data science techniques\/technologies \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eReview scalable software engineering practices to ramp up data analysis abilities in the realm of Big Data\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eApply theory of probability, statistical inference, and algebra to understand the data science practices\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003eAnyone who would like to embark into the realm of data science using Python 3.\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eGain 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.\u003cbr\u003eAs 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.\u003cbr\u003eThis 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.\u003cbr\u003e\u003ci\u003ePractical Data Science with Python\u003c\/i\u003e will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eErvin Varga is a Senior Member of IEEE and Professional Member of ACM. He is an IEEE Software Engineering Certified Instructor. Ervin is an owner of the software consulting company Expro I.T. Consulting, Serbia. He has an MSc in computer science, and a PhD in electrical engineering (his thesis was an application of software engineering and computer science in the domain of electrical power systems). Ervin is also a technical advisor of the open-source project Mainflux.\u003cbr\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 462\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.97 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 08, 2019\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42717123117119,"sku":"9781484248584","price":77.74,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/bb95c566bc6a30434dc9cbf27bf2935c.webp?v=1765077377","url":"https:\/\/dhlswag.com\/products\/practical-data-science-with-python-3-synthesizing-actionable-insights-from-data-paperback","provider":"BBB","version":"1.0","type":"link"}