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Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions Robert Dempsey, Stefan Urbanek, Saurabh Chhajed - okladka książki

Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions Robert Dempsey, Stefan Urbanek, Saurabh Chhajed - okladka książki

Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions Robert Dempsey, Stefan Urbanek, Saurabh Chhajed - audiobook MP3

Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions Robert Dempsey, Stefan Urbanek, Saurabh Chhajed - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
202
Dostępne formaty:
     PDF
     ePub
     Mobi
The amount of data produced by businesses and devices is going nowhere but up. In this scenario, the major advantage of Python is that it's a general-purpose language and gives you a lot of flexibility in data structures. Python is an excellent tool for more specialized analysis tasks, and is powered with related libraries to process data streams, to visualize datasets, and to carry out scientific calculations. Using Python for business intelligence (BI) can help you solve tricky problems in one go.

Rather than spending day after day scouring Internet forums for “how-to” information, here you’ll find more than 60 recipes that take you through the entire process of creating actionable intelligence from your raw data, no matter what shape or form it’s in. Within the first 30 minutes of opening this book, you’ll learn how to use the latest in Python and NoSQL databases to glean insights from data just waiting to be exploited.
We’ll begin with a quick-fire introduction to Python for BI and show you what problems Python solves. From there, we move on to working with a predefined data set to extract data as per business requirements, using the Pandas library and MongoDB as our storage engine.
Next, we will analyze data and perform transformations for BI with Python. Through this, you will gather insightful data that will help you make informed decisions for your business. The final part of the book will show you the most important task of BI—visualizing data by building stunning dashboards using Matplotlib, PyTables, and iPython Notebook.

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O autorach książki

Robert Dempsey is a tested leader and technology professional who specializes in delivering solutions and products to solve tough business challenges. His experience of forming and leading agile teams, combined with more than 16 years of technology experience, enables him to solve complex problems while always keeping the bottom line in mind. Robert has founded and built three start-ups in tech and marketing, developed and sold two online applications, consulted for Fortune 500 and Inc. 500 companies, and has spoken nationally and internationally on software development and agile project management. He's the founder of Data Wranglers DC, a group that is dedicated to improving the craft of data engineering, as well as a board member of Data Community DC. In addition to spending time with his growing family, Robert geeks out on Raspberry Pi, Arduinos, and automating more of his life through hardware and software. Find him on his website at http://robertwdempsey.com.
http://www.stiivi.com/about.html
Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.

Packt Publishing - inne książki

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