Friday, August 26, 2016

Engineering Book: Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition by Jacqueline Kazil - Review and Free Download

ElectronicKitSchool. - This is Python book edition with titled Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition that authored by Jacqueline Kazil  (Author), Katharine Jarmul (Author). 


First and foremost, it is well written: the grammar and punctuation are correct, the example code and explanations are clear and insightful. Most computer books are agonizing to read, but this was a joy. Although it does not provide comprehensive examples of all the modules and data structures, which one might use in data wrangling, it does provide an example for each type of data you might want to import: CSV, JSON, XML, Excel and PDF. Plus there are chapters on using web scraping, APIs, and both Relational and NoSQL databases. Moreover, each example is explained with a step-by-step narrative, that shows the beginner not just how to do it, but how to think about working through the process. This is why I recommended the book to colleague, who is an atmospheric scientist learning to program with python.

This article will show you the reviewing of Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition book like book description and table content. The last in this article we also will give you link to take download e-book of Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition by Jacqueline Kazil freely.

Overview

From the preface of this book mentioned that Data Wrangling with Python! In this book, we will help you take your data skills from a spreadsheet to the next level: leveraging the Python programming language to easily and quickly turn noisy data into usable reports. The easy syntax and quick startup for Python make programming accessible to everyone. 

Imagine a manual process you execute weekly, such as copying and pasting data from multiple sources into one spreadsheet for processing. This might take you an hour or two every week. But after you’ve automated and scripted this task, it may take only 30 seconds to process! This frees up your time to do other things or automate more processes. Or imagine you are able to transform your data in such a way that you can execute tasks you never could before because you simply did not have the ability to process the information in its current form. But after working through Python exercises with this book, you should be able to more effectively gather information from data you previously deemed inaccessible, too messy, or too vast. 

We will guide you through the process of data acquisition, cleaning, presentation, scaling, and automation. Our goal is to teach you how to easily wrangle your data, so you can spend more time focused on the content and analysis. We will overcome the limitations of your current tools and replace manual processing with clean, easy-toread Python code. By the time you finish working through this book, you will have automated your data processing, scheduled file editing and cleanup tasks, acquired and parsed data from locations you may not have been able to access before, and processed larger datasets.

From Amazon also describe that how do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.

Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.

  1. Quickly learn basic Python syntax, data types, and language concepts
  2. Work with both machine-readable and human-consumable data
  3. Scrape websites and APIs to find a bounty of useful information
  4. Clean and format data to eliminate duplicates and errors in your datasets
  5. Learn when to standardize data and when to test and script data cleanup
  6. Explore and analyze your datasets with new Python libraries and techniques
  7. Use Python solutions to automate your entire data-wrangling process
When you read the original book of this Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition by Jacqueline Kazil book may be you will see the table content like below.

Table Content

  • Preface
  • 1. Introduction to Python
  • 2. Python Basics
  • 3. Data Meant to Be Read by Machines
  • 4. Working with Excel Files
  • 5. PDFs and Problem Solving in Python
  • 6. Acquiring and Storing Data
  • 7. Data Cleanup: Investigation, Matching, and Formatting
  • 8. Data Cleanup: Standardizing and Scripting
  • 9. Data Exploration and Analysis
  • 10. Presenting Your Data
  • 11. Web Scraping: Acquiring and Storing Data from the Web
  • 12. Advanced Web Scraping: Screen Scrapers and Spiders
  • 13. APIs
  • 14. Automation and Scaling
  • 15. Conclusion
  • A. Comparison of Languages Mentioned
  • B. Python Resources for Beginners
  • C. Learning the Command Line
  • D. Advanced Python Setup
  • E. Python Gotchas
  • F. IPython Hints
  • G. Using Amazon Web Services
  • Index
In the last article we let you to enjoy to get this e-book of Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition by Jacqueline Kazil with download it freely with the link we given you below.

Download E-book

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Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition



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