Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Foundations for Analytics with Python

Buy
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
(HTML tags aren't allowed.)

Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems)
Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems)

New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive...

Learning Data Mining with Python
Learning Data Mining with Python

Harness the power of Python to analyze data and create insightful predictive models

About This Book

  • Learn data mining in practical terms, using a wide variety of libraries and techniques
  • Learn how to find, manipulate, and analyze data using Python
  • Step-by-step instructions...
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...


Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence

Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking.

Key Features

  • Build a full-fledged image processing application using JuliaImages
  • Perform basic to advanced image and video stream...
Pro Python 3: Features and Tools for Professional Development
Pro Python 3: Features and Tools for Professional Development

Refine your programming techniques and approaches to become a more productive and creative Python programmer. This book explores the concepts and features that will improve not only your code but also your understanding of the Python community with insights and details about the Python philosophy.

Pro Python 3,...

Drones as Cyber-Physical Systems: Concepts and Applications for the Fourth Industrial Revolution
Drones as Cyber-Physical Systems: Concepts and Applications for the Fourth Industrial Revolution

This book introduces the concept of using drones as a teaching tool to explore the fundamental principles, technology and applications of Cyber-Physical Systems (CPS).

A short introduction sets CPS in the context of the 4th industrial revolution, and describes various CPS technologies including self-driving...

©2019 LearnIT (support@pdfchm.net) - Privacy Policy