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Foundations for Analytics with Python

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Foundations for Analytics with Python, 9781491922538 (1491922532), O'Reilly, 2016

If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python.

After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary.

  • Create and run your own Python scripts by learning basic syntax
  • Use Python’s csv module to read and parse CSV files
  • Read multiple Excel worksheets and workbooks with the xlrd module
  • Perform database operations in MySQL or with the mysqlclient module
  • Create Python applications to find specific records, group data, and parse text files
  • Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn
  • Produce summary statistics, and estimate regression and classification models
  • Schedule your scripts to run automatically in both Windows and Mac environments
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Designing Machine Learning Systems with Python
Designing Machine Learning Systems with Python

Design efficient machine learning systems that give you more accurate results

About This Book

  • Gain an understanding of the machine learning design process
  • Optimize machine learning systems for improved accuracy
  • Understand common programming tools and techniques for machine...
Industry 4.0: The Industrial Internet of Things
Industry 4.0: The Industrial Internet of Things

Explore the current state of the production, processing, and manufacturing industries and discover what it will take to achieve re-industrialization of the former industrial powerhouses that can counterbalance the benefits of cheap labor providers dominating the industrial sector. This book explores the potential for the Internet of Things...

Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture
Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world,...


Expert Python Programming - Second Edition
Expert Python Programming - Second Edition

Become an ace Python programmer by learning best coding practices and advance-level concepts with Python 3.5

About This Book

  • Based on the latest stable version of Python (version 3.5)
  • Creating well manageable code that will run in various environments with different sets of...
Learning Python Design Patterns - Second Edition
Learning Python Design Patterns - Second Edition

Key Features

  • Understand the structural, creational, and behavioral Python design patterns
  • Get to know the context and application of design patterns to solve real-world problems in software architecture, design, and application development
  • Get practical exposure through sample...
Raspberry Pi IoT Projects: Prototyping Experiments for Makers
Raspberry Pi IoT Projects: Prototyping Experiments for Makers

Build your own Internet of Things (IoT) projects for prototyping and proof-of-concept purposes. This book contains the tools needed to build a prototype of your design, sense the environment, communicate with the Internet (over the Internet and Machine to Machine communications) and display the results.

Raspberry Pi IoT...

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