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[其他] Python Business Intelligence Cookbook   [分享]

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igs816 在职认证  发表于 2016-4-16 17:57:38 |显示全部楼层
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Python Business Intelligence Cookbook By Robert Dempsey
2015 | 202 Pages | ISBN: 178528746X | PDF(conv) | 6 MB


Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions This book is intended for data analysts, managers, and executives with a basic knowledge of Python, who now want to use Python for their BI tasks. If you have a good knowledge and understanding of BI applications and have a “working” system in place, this book will enhance your toolbox. 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. This is a step-by-step guide to help you prepare, explore, analyze and report data, written in a conversational tone to make it easy to grasp. Whether you're new to BI or are looking for a better way to work, you'll find the knowledge and skills here to get your job done efficiently.

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python business intelligence cookbook.pdf (5.66 MB, 售价: 5 个论坛币)

关键词:Intelligence Cookbook Business python INTEL Business

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econ8008 发表于 2016-4-16 18:55:58 |显示全部楼层
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vclong 发表于 2016-4-16 18:58:13 |显示全部楼层
谢谢分享
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Nicolle 学生认证  发表于 2016-4-16 19:33:37 |显示全部楼层
  1. Importing a CSV file into MongoDB

  2. Importing data from a CSV file into MongoDB is one of the fastest methods of import available. It is also one of the easiest. With almost every database system exporting to CSV, the following recipe is sure to come in handy.

  3. Getting ready

  4. The UK Road Safety Data comprises three CSV files: accidents7904.csv, casualty7904.csv, and vehicles7904.csv. Use this recipe to import the Accidents7904.csv file into MongoDB.

  5. How to do it…

  6. Run the following command at the command line:

  7. ./Applications/mongodb-3.0.4/bin/mongoimport --db pythonbicookbook --collection accidents --type csv --headerline --file '/Data/Stats19-Data1979-2004/Accidents7904.csv' --numInsertionWorkers 5
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albertwishedu 发表于 2016-4-16 19:34:17 |显示全部楼层
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Nicolle 学生认证  发表于 2016-4-16 19:35:00 |显示全部楼层
  1. Importing a JSON file into MongoDB

  2. JavaScript Object Notation (JSON) is becoming the number one format for data exchange on the Web. Modern REST APIs return data in the JSON format, and MongoDB stores the records as binary-encoded JSON documents called BSON. Use the following recipe to import JSON documents into MongoDB.

  3. Getting ready

  4. As we've done in previous import recipes, we'll be using the mongoimport utility to import the data in the JSON file into MongoDB. By default, mongoimport expects a JSON file unless told otherwise.

  5. How to do it…

  6. The command for importing a JSON file is almost the same as we used for importing a CSV file:

  7. ./Applications/mongodb-3.0.4/bin/mongoimport --db pythonbicookbook --collection accidents --type json --headerline --file '/Data/Stats19-Data1979-2004/Accidents7904.json' --numInsertionWorkers 5
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smartlife 在职认证  发表于 2016-4-16 19:51:34 |显示全部楼层
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jjxm20060807 发表于 2016-4-16 19:53:24 |显示全部楼层
谢谢分享
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2010kaoyanrenda 在职认证  发表于 2016-4-16 20:08:14 |显示全部楼层
感谢楼主分享
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ermutuxia 发表于 2016-4-16 20:08:44 |显示全部楼层
so wonderful
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